Experts and Thought Leaders in Mathematics

Tim Osswald

Polymers Professor - University of Wisconsin
Most Relevant Research Interests
Applied Mathematics
Computational Mathematics
Computational Mechanics
Other Research Interests (52)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 47 more
About
T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.
Most Relevant Publications (4+)

117 total publications

Boundary integral equations for analyzing the flow of a chopped fiber reinforced polymer compound in compression molding

Journal of Non-Newtonian Fluid Mechanics / Jan 01, 1987

Barone, M. R., & Osswald, T. A. (1987). Boundary integral equations for analyzing the flow of a chopped fiber reinforced polymer compound in compression molding. Journal of Non-Newtonian Fluid Mechanics, 26(2), 185–206. https://doi.org/10.1016/0377-0257(87)80004-6

Analysis of fiber damage mechanisms during processing of reinforced polymer melts

Engineering Analysis with Boundary Elements / Jul 01, 2002

Hernandez, J. P., Raush, T., Rios, A., Strauss, S., & Osswald, T. A. (2002). Analysis of fiber damage mechanisms during processing of reinforced polymer melts. Engineering Analysis with Boundary Elements, 26(7), 621–628. https://doi.org/10.1016/s0955-7997(02)00018-8

Novel modeling approach for fiber breakage during molding of long fiber-reinforced thermoplastics

Physics of Fluids / Jul 01, 2021

Bechara, A., Goris, S., Yanev, A., Brands, D., & Osswald, T. (2021). Novel modeling approach for fiber breakage during molding of long fiber-reinforced thermoplastics. Physics of Fluids, 33(7), 073318. https://doi.org/10.1063/5.0058693

Data enriched lubrication force modeling for a mechanistic fiber simulation of short fiber-reinforced thermoplastics

Physics of Fluids / May 01, 2021

Kugler, S. K., Bechara, A., Perez, H., Cruz, C., Kech, A., & Osswald, T. A. (2021). Data enriched lubrication force modeling for a mechanistic fiber simulation of short fiber-reinforced thermoplastics. Physics of Fluids, 33(5), 053107. https://doi.org/10.1063/5.0049641

Nicholas DePorzio

Most Relevant Research Interests
Mathematical Physics
Other Research Interests (1)
Instrumentation
Most Relevant Publications (1+)

3 total publications

Characterization of single layer anti-reflective coatings for bolometer-based rare event searches

Journal of Instrumentation / Sep 18, 2017

Hansen, E. V., DePorzio, N., & Winslow, L. (2017). Characterization of single layer anti-reflective coatings for bolometer-based rare event searches. Journal of Instrumentation, 12(09), P09018–P09018. https://doi.org/10.1088/1748-0221/12/09/p09018

Jo Boaler

Palo Alto, California, United States of America
Professor of Mathematics Education, Stanford University
Most Relevant Research Interests
mathematics education
General Mathematics
Applied Mathematics
Other Research Interests (33)
equity
gender
mindset
learning
Education
And 28 more
About
Dr Jo Boaler is a Professor of Mathematics Education at Stanford University, and the co-founder of youcubed. Her PhD won the national award for educational research in the UK and her book: Experiencing School Mathematics won the ‘Outstanding Book of the Year’ award for education in Britain. She is an elected fellow of the Royal Society of Arts (Great Britain), and a former president of the International Organization for Women and Mathematics Education (IOWME). She is the recipient of a National Science Foundation ‘Early Career Award’ and the NCSM Kay Gilliland Equity Award (2014). She is the author of nine books and numerous research articles. Her latest book is Mathematical Mindsets: Unleashing Students’ Potential through Creative Math, Inspiring Messages and Innovative Teaching (2016), and is published by Wiley. She serves as an advisor to several Silicon Valley companies.
Most Relevant Publications (14+)

81 total publications

Mathematical mindsets: unleashing students’ potential through creative math, inspiring messages and innovative teaching

Research in Mathematics Education / Sep 01, 2016

Simms, V. (2016). Mathematical mindsets: unleashing students’ potential through creative math, inspiring messages and innovative teaching. Research in Mathematics Education, 18(3), 317–320. https://doi.org/10.1080/14794802.2016.1237374

Encouraging the transfer of ?school? mathematics to the ?real world? through the integration of process and content, context and culture

Educational Studies in Mathematics / Dec 01, 1993

Boaler, J. (1993). Encouraging the transfer of ?school? mathematics to the ?real world? through the integration of process and content, context and culture. Educational Studies in Mathematics, 25(4), 341–373. https://doi.org/10.1007/bf01273906

The Elephant in the Classroom, by Jo Boaler

Mathematical Thinking and Learning / Jan 02, 2014

Duden, M. (2014). The Elephant in the Classroom, by Jo Boaler. Mathematical Thinking and Learning, 16(1), 80–83. https://doi.org/10.1080/10986065.2014.857870

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Educational Studies in Mathematics / Jan 01, 1999

Boaler, J. (1999). Educational Studies in Mathematics, 40(3), 259–281. https://doi.org/10.1023/a:1003880012282

Mathematics from Another World: Traditional Communities and the Alienation of Learners

The Journal of Mathematical Behavior / Jun 01, 2000

Boaler, J. (2000). Mathematics from Another World: Traditional Communities and the Alienation of Learners. The Journal of Mathematical Behavior, 18(4), 379–397. https://doi.org/10.1016/s0732-3123(00)00026-2

Paying the Price for "Sugar and Spice": Shifting the Analytical Lens in Equity Research

Mathematical Thinking and Learning / Jul 01, 2002

Boaler, J. (2002). Paying the Price for “Sugar and Spice”: Shifting the Analytical Lens in Equity Research. Mathematical Thinking and Learning, 4(2–3), 127–144. https://doi.org/10.1207/s15327833mtl04023_3

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Educational Studies in Mathematics / Jan 01, 2002

Boaler, J. (2002). Educational Studies in Mathematics, 51(1/2), 3–21. https://doi.org/10.1023/a:1022468022549

Mathematical Modelling and New Theories of Learning

Teaching Mathematics and its Applications / Sep 01, 2001

Boaler, J. (2001). Mathematical Modelling and New Theories of Learning. Teaching Mathematics and Its Applications, 20(3), 121–128. https://doi.org/10.1093/teamat/20.3.121

The many colors of algebra: The impact of equity focused teaching upon student learning and engagement

The Journal of Mathematical Behavior / Mar 01, 2016

Boaler, J., & Sengupta-Irving, T. (2016). The many colors of algebra: The impact of equity focused teaching upon student learning and engagement. The Journal of Mathematical Behavior, 41, 179–190. https://doi.org/10.1016/j.jmathb.2015.10.007

Designing mathematics classes to promote equity and engagement

The Journal of Mathematical Behavior / Mar 01, 2016

Boaler, J. (2016). Designing mathematics classes to promote equity and engagement. The Journal of Mathematical Behavior, 41, 172–178. https://doi.org/10.1016/j.jmathb.2015.01.002

Equity, empowerment and different ways of knowing

Mathematics Education Research Journal / Nov 01, 1997

Boaler, J. (1997). Equity, empowerment and different ways of knowing. Mathematics Education Research Journal, 9(3), 325–342. https://doi.org/10.1007/bf03217322

Transposing reform pedagogy into new contexts: complex instruction in remote Australia

Mathematics Education Research Journal / Feb 06, 2013

Sullivan, P., Jorgensen, R., Boaler, J., & Lerman, S. (2013). Transposing reform pedagogy into new contexts: complex instruction in remote Australia. Mathematics Education Research Journal, 25(1), 173–184. https://doi.org/10.1007/s13394-013-0069-4

Pseudo Sylow Numbers

The American Mathematical Monthly / Jan 02, 2019

Sambale, B. (2019). Pseudo Sylow Numbers. The American Mathematical Monthly, 126(1), 60–65. https://doi.org/10.1080/00029890.2019.1528825

Theory and Practice in Mathematics Teaching Development: Critical Inquiry as a Mode of Learning in Teaching

Journal of Mathematics Teacher Education / Apr 01, 2006

Jaworski, B. (2006). Theory and Practice in Mathematics Teaching Development: Critical Inquiry as a Mode of Learning in Teaching. Journal of Mathematics Teacher Education, 9(2), 187–211. https://doi.org/10.1007/s10857-005-1223-z

Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Applied Mathematics
Computational Mathematics
Other Research Interests (66)
Evolutionary Genomics
Multidisciplinary
General Immunology and Microbiology
Microbiology
Infectious Diseases
And 61 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
Most Relevant Publications (6+)

207 total publications

Identifying modules of cooperating cancer drivers

Molecular Systems Biology / Mar 01, 2021

Klein, M. I., Cannataro, V. L., Townsend, J. P., Newman, S., Stern, D. F., & Zhao, H. (2021). Identifying modules of cooperating cancer drivers. Molecular Systems Biology, 17(3). Portico. https://doi.org/10.15252/msb.20209810

PathScore: a web tool for identifying altered pathways in cancer data

Bioinformatics / Aug 08, 2016

Gaffney, S. G., & Townsend, J. P. (2016). PathScore: a web tool for identifying altered pathways in cancer data. Bioinformatics, 32(23), 3688–3690. https://doi.org/10.1093/bioinformatics/btw512

H-CLAP: hierarchical clustering within a linear array with an application in genetics

Statistical Applications in Genetics and Molecular Biology / Jan 01, 2015

Ghosh, S., & Townsend, J. P. (2015). H-CLAP: hierarchical clustering within a linear array with an application in genetics. Statistical Applications in Genetics and Molecular Biology, 14(2). https://doi.org/10.1515/sagmb-2013-0076

AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification

Bioinformatics / Jun 03, 2013

Dai, L., Tian, M., Wu, J., Xiao, J., Wang, X., Townsend, J. P., & Zhang, Z. (2013). AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification. Bioinformatics, 29(14), 1837–1839. https://doi.org/10.1093/bioinformatics/btt284

Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance

BMC Bioinformatics / Mar 22, 2012

Zhang, Z., Li, J., Cui, P., Ding, F., Li, A., Townsend, J. P., & Yu, J. (2012). Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance. BMC Bioinformatics, 13(1). https://doi.org/10.1186/1471-2105-13-43

LOX: inferring Level Of eXpression from diverse methods of census sequencing

Bioinformatics / Jun 10, 2010

Zhang, Z., López-Giráldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. https://doi.org/10.1093/bioinformatics/btq303

Jonathan Tamir

Most Relevant Research Interests
Applied Mathematics
Computational Mathematics
Other Research Interests (5)
Signal processing
Multidisciplinary
Electrical and Electronic Engineering
Computer Science Applications
Radiology, Nuclear Medicine and imaging
Most Relevant Publications (2+)

5 total publications

Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging

IEEE Signal Processing Magazine / Jan 01, 2020

Tamir, J. I., Ong, F., Anand, S., Karasan, E., Wang, K., & Lustig, M. (2020). Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging. IEEE Signal Processing Magazine, 37(1), 94–104. https://doi.org/10.1109/msp.2019.2940062

Memory-Efficient Learning for Large-Scale Computational Imaging

IEEE Transactions on Computational Imaging / Jan 01, 2020

Kellman, M., Zhang, K., Markley, E., Tamir, J., Bostan, E., Lustig, M., & Waller, L. (2020). Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Transactions on Computational Imaging, 6, 1403–1414. https://doi.org/10.1109/tci.2020.3025735

Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Applied Mathematics
General Mathematics
Computational Mathematics
Other Research Interests (53)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 48 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
Most Relevant Publications (6+)

106 total publications

Stochastic blockmodels with a growing number of classes

Biometrika / Apr 17, 2012

Choi, D. S., Wolfe, P. J., & Airoldi, E. M. (2012). Stochastic blockmodels with a growing number of classes. Biometrika, 99(2), 273–284. https://doi.org/10.1093/biomet/asr053

Quantitative visualization of alternative exon expression from RNA-seq data

Bioinformatics / Jan 22, 2015

Katz, Y., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015). Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics, 31(14), 2400–2402. https://doi.org/10.1093/bioinformatics/btv034

Model-assisted design of experiments in the presence of network-correlated outcomes

Biometrika / Aug 06, 2018

Basse, G. W., & Airoldi, E. M. (2018). Model-assisted design of experiments in the presence of network-correlated outcomes. Biometrika, 105(4), 849–858. https://doi.org/10.1093/biomet/asy036

Testing for arbitrary interference on experimentation platforms

Biometrika / Sep 30, 2019

Pouget-Abadie, J., Saint-Jacques, G., Saveski, M., Duan, W., Ghosh, S., Xu, Y., & Airoldi, E. M. (2019). Testing for arbitrary interference on experimentation platforms. Biometrika, 106(4), 929–940. https://doi.org/10.1093/biomet/asz047

Who wrote Ronald Reagan's radio addresses?

Bayesian Analysis / Jun 01, 2006

Airoldi, E. M., Anderson, A. G., Fienberg, S. E., & Skinner, K. K. (2006). Who wrote Ronald Reagan’s radio addresses? Bayesian Analysis, 1(2). https://doi.org/10.1214/06-ba110

A Network Analysis Model for Disambiguation of Names in Lists

Computational and Mathematical Organization Theory / Jul 01, 2005

Malin, B., Airoldi, E., & Carley, K. M. (2005). A Network Analysis Model for Disambiguation of Names in Lists. Computational and Mathematical Organization Theory, 11(2), 119–139. https://doi.org/10.1007/s10588-005-3940-3

Chandra Orrill

Fall River, MA, Massachusetts, United States of America
I am a mathematics educator interested in elementary and middle school who also does research on computational thinking.
Most Relevant Research Interests
Other Research Interests (2)
Education
Developmental and Educational Psychology
About
My work is primarily focused on how teachers learn about and understand the content they teach. My work has been primarily with upper elementary and middle school teachers in the areas of mathematics and computational thinking. I got into this field because of my interest in educational technology and in school reform. My work has focused on investigating how teachers understand the content they teach, how to design effective professional development to support them, and how to assess their learning. All of this is with an eye toward how students learn and how we can build better schools to support learning. I am also a certified running coach (UESCA) and personal trainer (NASM) with a particular interest in women's physiology as it relates to running -- particularly in the menopausal and perimenopausal phases. I am interested in working on projects that are focused on improving education - particularly math education, but also education more broadly. I am also interested in projects that relate to my interest in women running.
Most Relevant Publications (11+)

20 total publications

High school mathematics teachers’ discernment of invariant properties in a dynamic geometry environment

Educational Studies in Mathematics / Apr 04, 2022

Nagar, G. G., Hegedus, S., & Orrill, C. H. (2022). High school mathematics teachers’ discernment of invariant properties in a dynamic geometry environment. Educational Studies in Mathematics, 111(1), 127–145. https://doi.org/10.1007/s10649-022-10144-6

Exploring differences in practicing teachers’ knowledge use in a dynamic and static proportional task

Mathematics Education Research Journal / Sep 12, 2020

Brown, R. E., Orrill, C. H., & Park, J. (2020). Exploring differences in practicing teachers’ knowledge use in a dynamic and static proportional task. Mathematics Education Research Journal, 34(2), 419–436. https://doi.org/10.1007/s13394-020-00350-x

Teachers’ abilities to make sense of variable parts reasoning

Mathematical Thinking and Learning / Jul 17, 2020

Orrill, C. H., & Millett, J. E. (2020). Teachers’ abilities to make sense of variable parts reasoning. Mathematical Thinking and Learning, 23(3), 254–270. https://doi.org/10.1080/10986065.2020.1795567

Framing a robust understanding of proportional reasoning for teachers

Journal of Mathematics Teacher Education / Jan 01, 2020

Weiland, T., Orrill, C. H., Nagar, G. G., Brown, R. E., & Burke, J. (2020). Framing a robust understanding of proportional reasoning for teachers. Journal of Mathematics Teacher Education, 24(2), 179–202. https://doi.org/10.1007/s10857-019-09453-0

When Constant in a Proportional Relationship Isn’t Constant—A Sign of Not-So-Shared Understandings

Investigations in Mathematics Learning / Jun 07, 2020

Brown, R. E., Epstein, M. L., & Orrill, C. H. (2020). When Constant in a Proportional Relationship Isn’t Constant—A Sign of Not-So-Shared Understandings. Investigations in Mathematics Learning, 12(3), 194–207. https://doi.org/10.1080/19477503.2020.1772035

International perspectives on frameworks for mathematics teachers’ knowing and quality of mathematics instruction

Research in Mathematics Education / May 03, 2020

Manizade, A., & Orrill, C. H. (2020). International perspectives on frameworks for mathematics teachers’ knowing and quality of mathematics instruction. Research in Mathematics Education, 22(2), 93–97. https://doi.org/10.1080/14794802.2020.1798809

Revisiting purpose and conceptualisation in the design of assessments of mathematics teachers’ knowledge

Research in Mathematics Education / Jan 31, 2020

Orrill, C. H., Copur-Gencturk, Y., Cohen, A., & Templin, J. (2020). Revisiting purpose and conceptualisation in the design of assessments of mathematics teachers’ knowledge. Research in Mathematics Education, 22(2), 209–224. https://doi.org/10.1080/14794802.2019.1702893

Mathematics teachers’ ability to identify situations appropriate for proportional reasoning

Research in Mathematics Education / Apr 30, 2019

Weiland, T., Orrill, C. H., Brown, R. E., & Nagar, G. G. (2019). Mathematics teachers’ ability to identify situations appropriate for proportional reasoning. Research in Mathematics Education, 21(3), 233–250. https://doi.org/10.1080/14794802.2019.1579668

Examining the design features of a communication-rich, problem-centred mathematics professional development

International Journal of Mathematical Education in Science and Technology / Sep 07, 2017

de Araujo, Z., Orrill, C. H., & Jacobson, E. (2017). Examining the design features of a communication-rich, problem-centred mathematics professional development. International Journal of Mathematical Education in Science and Technology, 49(3), 323–340. https://doi.org/10.1080/0020739x.2017.1373153

Making sense of double number lines in professional development: exploring teachers’ understandings of proportional relationships

Journal of Mathematics Teacher Education / May 19, 2012

Orrill, C. H., & Brown, R. E. (2012). Making sense of double number lines in professional development: exploring teachers’ understandings of proportional relationships. Journal of Mathematics Teacher Education, 15(5), 381–403. https://doi.org/10.1007/s10857-012-9218-z

Mathematics Teachers' Reasoning About Fractions and Decimals Using Drawn Representations

Mathematical Thinking and Learning / Jul 01, 2011

Lee, S. J., Brown, R. E., & Orrill, C. H. (2011). Mathematics Teachers’ Reasoning About Fractions and Decimals Using Drawn Representations. Mathematical Thinking and Learning, 13(3), 198–220. https://doi.org/10.1080/10986065.2011.564993

Osaye Fadekemi, PhD

Assistant Professor of Mathematics at Alabama State University with expertise in Graph Theory and Network Modeling
Most Relevant Research Interests
Discrete Mathematics and Combinatorics
Applied Mathematics
Other Research Interests (12)
Graph Theory
Network Modeling
Disease Modeling
Theoretical Computer Science
Computational Theory and Mathematics
And 7 more
About
Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.
Most Relevant Publications (5+)

7 total publications

Average eccentricity,k-packing andk-domination in graphs

Discrete Mathematics / May 01, 2019

Dankelmann, P., & Osaye, F. J. (2019). Average eccentricity,<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e86" altimg="si36.gif"><mml:mi>k</mml:mi></mml:math>-packing and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e91" altimg="si36.gif"><mml:mi>k</mml:mi></mml:math>-domination in graphs. Discrete Mathematics, 342(5), 1261–1274. https://doi.org/10.1016/j.disc.2019.01.004

Upper bounds on the average eccentricity of K3-free and C4-free graphs

Discrete Applied Mathematics / Nov 01, 2019

Dankelmann, P., Osaye, F. J., Mukwembi, S., & Rodrigues, B. G. (2019). Upper bounds on the average eccentricity of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e103" altimg="si18.svg"><mml:msub><mml:mrow><mml:mi>K</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:math>-free and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e113" altimg="si19.svg"><mml:msub><mml:mrow><mml:mi>C</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub></mml:math>-free graphs. Discrete Applied Mathematics, 270, 106–114. https://doi.org/10.1016/j.dam.2019.06.003

Average eccentricity, minimum degree and maximum degree in graphs

Journal of Combinatorial Optimization / Jun 26, 2020

Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x

Average eccentricity, minimum degree and maximum degree in graphs

Journal of Combinatorial Optimization / Jun 26, 2020

Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x

The average eccentricity of a graph with prescribed girth

Discrete Mathematics / Dec 01, 2022

Osaye, F. J. (2022). The average eccentricity of a graph with prescribed girth. Discrete Mathematics, 345(12), 113066. https://doi.org/10.1016/j.disc.2022.113066

Tim Leung

Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (29)
Computational Finance
Risk Management
Portfolio Optimization
ETFs
General Economics, Econometrics and Finance
And 24 more
About
Tim Leung is a professor of operations research and financial engineering at the University of Washington. He holds a PhD from Princeton University and a B.S. from Cornell University. He has held previous positions as an assistant professor at Columbia University and Johns Hopkins University.
Most Relevant Publications (12+)

138 total publications

ACCOUNTING FOR RISK AVERSION, VESTING, JOB TERMINATION RISK AND MULTIPLE EXERCISES IN VALUATION OF EMPLOYEE STOCK OPTIONS

Mathematical Finance / Jan 01, 2009

Leung, T., & Sircar, R. (2009). ACCOUNTING FOR RISK AVERSION, VESTING, JOB TERMINATION RISK AND MULTIPLE EXERCISES IN VALUATION OF EMPLOYEE STOCK OPTIONS. Mathematical Finance, 19(1), 99–128. https://doi.org/10.1111/j.1467-9965.2008.00359.x

Implied Volatility of Leveraged ETF Options

Applied Mathematical Finance / Nov 20, 2014

Leung, T., & Sircar, R. (2014). Implied Volatility of Leveraged ETF Options. Applied Mathematical Finance, 22(2), 162–188. https://doi.org/10.1080/1350486x.2014.975825

An optimal multiple stopping approach to infrastructure investment decisions

Journal of Economic Dynamics and Control / Apr 01, 2015

Dahlgren, E., & Leung, T. (2015). An optimal multiple stopping approach to infrastructure investment decisions. Journal of Economic Dynamics and Control, 53, 251–267. https://doi.org/10.1016/j.jedc.2015.02.001

Dynamic Index Tracking and Risk Exposure Control Using Derivatives

Applied Mathematical Finance / Mar 04, 2018

Leung, T., & Ward, B. (2018). Dynamic Index Tracking and Risk Exposure Control Using Derivatives. Applied Mathematical Finance, 25(2), 180–212. https://doi.org/10.1080/1350486x.2018.1507750

Optimal Trading with a Trailing Stop

Applied Mathematics &amp; Optimization / Feb 22, 2019

Leung, T., & Zhang, H. (2019). Optimal Trading with a Trailing Stop. Applied Mathematics &amp; Optimization, 83(2), 669–698. https://doi.org/10.1007/s00245-019-09559-0

LEVERAGED ETF IMPLIED VOLATILITIES FROM ETF DYNAMICS

Mathematical Finance / May 19, 2016

Leung, T., Lorig, M., & Pascucci, A. (2016). LEVERAGED ETF IMPLIED VOLATILITIES FROM ETF DYNAMICS. Mathematical Finance, 27(4), 1035–1068. Portico. https://doi.org/10.1111/mafi.12128

ESO Valuation with Job Termination Risk and Jumps in Stock Price

SIAM Journal on Financial Mathematics / Jan 01, 2015

Leung, T., & Wan, H. (2015). ESO Valuation with Job Termination Risk and Jumps in Stock Price. SIAM Journal on Financial Mathematics, 6(1), 487–516. https://doi.org/10.1137/130937949

Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs

Stochastic Models / Jul 16, 2015

Leung, T., Li, X., & Wang, Z. (2015). Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs. Stochastic Models, 31(4), 554–587. https://doi.org/10.1080/15326349.2015.1058717

Optimal Multiple Stopping with Negative Discount Rate and Random Refraction Times under Lévy Models

SIAM Journal on Control and Optimization / Jan 01, 2015

Leung, T., Yamazaki, K., & Zhang, H. (2015). Optimal Multiple Stopping with Negative Discount Rate and Random Refraction Times under Lévy Models. SIAM Journal on Control and Optimization, 53(4), 2373–2405. https://doi.org/10.1137/140957317

Default swap games driven by spectrally negative Lévy processes

Stochastic Processes and their Applications / Feb 01, 2013

Egami, M., Leung, T., & Yamazaki, K. (2013). Default swap games driven by spectrally negative Lévy processes. Stochastic Processes and Their Applications, 123(2), 347–384. https://doi.org/10.1016/j.spa.2012.09.008

Optimal Timing to Purchase Options

SIAM Journal on Financial Mathematics / Jan 01, 2011

Leung, T., & Ludkovski, M. (2011). Optimal Timing to Purchase Options. SIAM Journal on Financial Mathematics, 2(1), 768–793. https://doi.org/10.1137/100809386

Exponential Hedging with Optimal Stopping and Application to Employee Stock Option Valuation

SIAM Journal on Control and Optimization / Jan 01, 2009

Leung, T., & Sircar, R. (2009). Exponential Hedging with Optimal Stopping and Application to Employee Stock Option Valuation. SIAM Journal on Control and Optimization, 48(3), 1422–1451. https://doi.org/10.1137/080718930

Susanta Das

Professor-School of Engineering at Ajeenkya DY Patil University
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (9)
Instrumentation
Nuclear and High Energy Physics
Surfaces, Coatings and Films
Condensed Matter Physics
Surfaces and Interfaces
And 4 more
About
Dr. Susanta Das is a physicist who has worked in a variety of settings, including academia, research institutes, and industry. He has a Ph.D. in Physics from Western Michigan University, and his research has focused on areas such as electron and ion transmission through nanocapillaries, beam diagnostics, and ion-surface interaction. In addition to his research work, he has also taught physics at a number of institutions, including Sri Sri University, Central University of South Bihar, P.K. University and Ajeenkya DY Patil University. He is an experienced educator with a proven record of providing service to the institutions’ various initiatives, working at many international and national institutions, teaching diverse students, and acting as a mentor. He has the necessary professional background of working and communicating with persons from a variety of countries as well as have numerous cross-cultural experiences.
Most Relevant Publications (1+)

27 total publications

Electron transmission through a single glass macrocapillary: dependence on energy and time

Physica Scripta / Jun 01, 2011

Dassanayake, B. S., Das, S., Ayyad, A., & Tanis, J. A. (2011). Electron transmission through a single glass macrocapillary: dependence on energy and time. Physica Scripta, T144, 014041. https://doi.org/10.1088/0031-8949/2011/t144/014041

John Joe

Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
Most Relevant Research Interests
Applied Mathematics
General Mathematics
Other Research Interests (67)
microbiology
systems biology
genetics
quantum biology
Management of Technology and Innovation
And 62 more
Most Relevant Publications (5+)

95 total publications

A quantum mechanical model of adaptive mutation

Biosystems / Jun 01, 1999

McFadden, J., & Al-Khalili, J. (1999). A quantum mechanical model of adaptive mutation. Biosystems, 50(3), 203–211. https://doi.org/10.1016/s0303-2647(99)00004-0

The origins of quantum biology

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences / Dec 01, 2018

McFadden, J., & Al-Khalili, J. (2018). The origins of quantum biology. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 474(2220), 20180674. https://doi.org/10.1098/rspa.2018.0674

Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations

Journal of Theoretical Biology / Jun 01, 1997

McFadden, J., & Knowles, G. (1997). Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations. Journal of Theoretical Biology, 186(4), 441–447. https://doi.org/10.1006/jtbi.1997.0403

MUFINS: multi-formalism interaction network simulator

npj Systems Biology and Applications / Nov 17, 2016

Wu, H., von Kamp, A., Leoncikas, V., Mori, W., Sahin, N., Gevorgyan, A., Linley, C., Grabowski, M., Mannan, A. A., Stoy, N., Stewart, G. R., Ward, L. T., Lewis, D. J. M., Sroka, J., Matsuno, H., Klamt, S., Westerhoff, H. V., McFadden, J., Plant, N. J., & Kierzek, A. M. (2016). MUFINS: multi-formalism interaction network simulator. Npj Systems Biology and Applications, 2(1). https://doi.org/10.1038/npjsba.2016.32

Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks via a web interface

BMC Bioinformatics / May 24, 2011

Sroka, J., Bieniasz-Krzywiec, Ł., Gwóźdź, S., Leniowski, D., Łącki, J., Markowski, M., Avignone-Rossa, C., Bushell, M. E., McFadden, J., & Kierzek, A. M. (2011). Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks via a web interface. BMC Bioinformatics, 12(1). https://doi.org/10.1186/1471-2105-12-196

Ferdous Ahmed

Assistant Professor of Environmental Science, IUBAT-International University of Business Agriculture
Most Relevant Research Interests
General Mathematics
Other Research Interests (32)
Climate Change
Sustainable Agriculture
Sustainable Development
Environmental Management
Waste Management
And 27 more
Most Relevant Publications (1+)

23 total publications

“Association of Low HDL of NAFLD Patients with or without Metabolic Syndrome: A Study in Rajshahi Medical College Hospital, Rajshahi, Bangladesh”

Saudi Journal of Medical and Pharmaceutical Sciences / Dec 14, 2020

Islam NSM,   Momtazul, Rahman, Md. K., Mahbubur Rahman Khan, M., Hasan Tarik, M., . M. H., Ahmed, M., & Islam, Md. N. (2020). “Association of Low HDL of NAFLD Patients with or without Metabolic Syndrome: A Study in Rajshahi Medical College Hospital, Rajshahi, Bangladesh.” Saudi Journal of Medical and Pharmaceutical Sciences, 6(12), 733–739. https://doi.org/10.36348/sjmps.2020.v06i12.003

Dr. Claudia Sánchez-Gutiérrez

Associate Professor at University of California, Davis
Most Relevant Research Interests
Applied Mathematics
General Mathematics
Other Research Interests (20)
Second Language Acquisition
Applied Linguistics
Spanish
Morphological Processing
Morphological Awareness
And 15 more
Most Relevant Publications (2+)

34 total publications

COWS-L2H: A corpus of Spanish learner writing

Research in Corpus Linguistics / Jan 01, 2020

Yamada, A., Davidson, S., Fernández-Mira, P., Carando, A., Sagae, K., & Sánchez-Gutiérrez, C. (2020). COWS-L2H: A corpus of Spanish learner writing. Research in Corpus Linguistics, 8, 17–32. https://doi.org/10.32714/ricl.08.01.02

Preterit-imperfect acquisition in L2 Spanish writing: Moving beyond lexical aspect

Research in Corpus Linguistics / Jan 01, 2022

Minnillo, S., Sánchez-Gutiérrez, C., Carando, A., Davidson, S., Fernández Mira, P., & Sagae, K. (2022). Preterit-imperfect acquisition in L2 Spanish writing: Moving beyond lexical aspect. Research in Corpus Linguistics, 10(1), 156–184. https://doi.org/10.32714/ricl.10.01.08

Sina Soleymani

Ph.D., Postdoctoral Research Fellow, Harvard University
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (14)
Graphene
Metasurfaces
Solar Sails
Parity-Time Symmetric Photonics
Non-Hermitian Photonics
And 9 more
Most Relevant Publications (1+)

12 total publications

Controlling solar radiation forces with graphene in plasmonic metasurface

Physica Scripta / Apr 27, 2023

Soleymani, S., Seyyedmasoumian, S., Attariabad, A., Soleymani, S., Bayat, F., & Sabet, H. (2023). Controlling solar radiation forces with graphene in plasmonic metasurface. Physica Scripta, 98(5), 055520. https://doi.org/10.1088/1402-4896/accd9e

Andrii Golovin

Electrical Engineering Department, City College of New York
Most Relevant Research Interests
Applied Mathematics
General Mathematics
Other Research Interests (20)
optics
optoelectronics
photonics
lasers
material science
And 15 more
Most Relevant Publications (3+)

57 total publications

55.2: Fast Switching Dual-Frequency Liquid Crystal Optical Retarder, Driven by an Amplitude and Frequency Modulated Voltage

SID Symposium Digest of Technical Papers / Jan 01, 2003

Golovin, A. B., Shiyanovskii, S. V., & Lavrentovich, O. D. (2003). 55.2: Fast Switching Dual-Frequency Liquid Crystal Optical Retarder, Driven by an Amplitude and Frequency Modulated Voltage. SID Symposium Digest of Technical Papers, 34(1), 1472. https://doi.org/10.1889/1.1832563

P-138: Plasma Beam Alignment of Lyotropic Chromonic Liquid Crystals

SID Symposium Digest of Technical Papers / Jun 01, 2011

Yaroshchuk, O., Kravchuk, R., Gubarev, S., Protsenko, I., Golovin, A., & Lavrentovich, O. D. (2011). P-138: Plasma Beam Alignment of Lyotropic Chromonic Liquid Crystals. SID Symposium Digest of Technical Papers, 42(1), 1627–1629. https://doi.org/10.1889/1.3621183

P-106: Single-Layer Multicolor Reflective Cholesteric Displays

SID Symposium Digest of Technical Papers / May 01, 2007

Lu, S.-Y., Golovin, A., & Chien, L.-C. (2007). P-106: Single-Layer Multicolor Reflective Cholesteric Displays. SID Symposium Digest of Technical Papers, 38(1), 599–602. https://doi.org/10.1889/1.2785373

Laura Jackson Young

Associate Professor of Economics, Bentley University
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (11)
Economics
Macroeconomics
Econometrics
Economics and Econometrics
Social Sciences (miscellaneous)
And 6 more
About
Laura Jackson Young graduated from the University of North Carolina at Chapel Hill in December 2014 with a PhD in Economics. She is now an Associate Professor of Economics at Bentley University.  ​ Founder and co-advisor for [WEB: Women in Economics at Bentley](https://webentley.weebly.com/). Faculty Research Director for the [Gloria Cordes Larson Center for Women and Business](https://www.bentley.edu/centers/center-for-women-and-business) **Research Interests:** Macroeconomics, Monetary and Fiscal Policy, Financial Economics, Business Cycles, Econometrics
Most Relevant Publications (3+)

21 total publications

Nonlinearities, smoothing and countercyclical monetary policy

Journal of Economic Dynamics and Control / Oct 01, 2018

Jackson, L. E., Owyang, M. T., & Soques, D. (2018). Nonlinearities, smoothing and countercyclical monetary policy. Journal of Economic Dynamics and Control, 95, 136–154. https://doi.org/10.1016/j.jedc.2018.08.007

International Stock Comovements with Endogenous Clusters

Journal of Economic Dynamics and Control / Jul 01, 2020

Coroneo, L., Jackson, L. E., & Owyang, M. T. (2020). International Stock Comovements with Endogenous Clusters. Journal of Economic Dynamics and Control, 116, 103904. https://doi.org/10.1016/j.jedc.2020.103904

Debt and stabilization policy: Evidence from a Euro Area FAVAR

Journal of Economic Dynamics and Control / Aug 01, 2018

Jackson, L. E., Owyang, M. T., & Zubairy, S. (2018). Debt and stabilization policy: Evidence from a Euro Area FAVAR. Journal of Economic Dynamics and Control, 93, 67–91. https://doi.org/10.1016/j.jedc.2018.02.001

Ping Luo

Toronto, Ontario, Canada
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Interests
Computational Mathematics
Applied Mathematics
Other Research Interests (21)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 16 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (4+)

23 total publications

Enhancing the prediction of disease–gene associations with multimodal deep learning

Bioinformatics / Mar 02, 2019

Luo, P., Li, Y., Tian, L.-P., & Wu, F.-X. (2019). Enhancing the prediction of disease–gene associations with multimodal deep learning. Bioinformatics, 35(19), 3735–3742. https://doi.org/10.1093/bioinformatics/btz155

Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics / Jan 01, 2019

Luo, P., Tian, L.-P., Ruan, J., & Wu, F.-X. (2019). Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(1), 222–232. https://doi.org/10.1109/tcbb.2017.2770120

Identifying cell types from single-cell data based on similarities and dissimilarities between cells

BMC Bioinformatics / May 01, 2021

Li, Y., Luo, P., Lu, Y., & Wu, F.-X. (2021). Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinformatics, 22(S3). https://doi.org/10.1186/s12859-020-03873-z

Ensemble disease gene prediction by clinical sample-based networks

BMC Bioinformatics / Mar 01, 2020

Luo, P., Tian, L.-P., Chen, B., Xiao, Q., & Wu, F.-X. (2020). Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinformatics, 21(S2). https://doi.org/10.1186/s12859-020-3346-8

Emmanouil Mentzakis

London

Tyler Ransom

Norman, Oklahoma, United States of America
Associate Professor of Economics at the University of Oklahoma
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (15)
Economics
Labor Economics
Economics of Education
Urban Economics
Applied Microeconomics
And 10 more
About
Tyler Ransom is an associate professor of economics at the University of Oklahoma. He received his Ph.D. in economics from Duke University in 2015. His research interests include labor economics, economics of education, urban economics, and machine learning applications. He has published papers in leading journals such as the Journal of Labor Economics, the Journal of Human Resources, and the Journal of Econometrics. He is also an associate editor of the Annals of Economics and Statistics and a research affiliate of IZA and GLO. He has taught courses on econometrics, data science, and economics of education at both undergraduate and graduate levels. He has received several awards and fellowships for his research and teaching, such as the OU Dodge Family College of Arts & Sciences Irene Rothbaum Outstanding Assistant Professor Award in 2022. He is proficient in various coding languages such as Matlab, Stata, R, Julia, Bash, Git, and LaTeX. He also has advanced language skills in Japanese.
Most Relevant Publications (1+)

15 total publications

Understanding migration aversion using elicited counterfactual choice probabilities

Journal of Econometrics / Nov 01, 2022

Koşar, G., Ransom, T., & van der Klaauw, W. (2022). Understanding migration aversion using elicited counterfactual choice probabilities. Journal of Econometrics, 231(1), 123–147. https://doi.org/10.1016/j.jeconom.2020.07.056

Asst. Prof. Eng. Davide Verzotto, Ph.D.

Assistant Professor of Computer Science, Centre for Higher Defence Studies (CASD) - School of Advanced Studies, Italian Defence General Staff, Rome
Most Relevant Research Interests
Applied Mathematics
Computational Mathematics
Other Research Interests (19)
Algorithms & Data Structures
Bioinformatics & Computational Biology
Machine Learning
Scalable
Multidisciplinary
And 14 more
About
Algorithms & Information Intelligence, Pattern Discovery Bioinformatics & Computational Biology/Genomics Scalable Data Mining & Machine Learning
Most Relevant Publications (9+)

40 total publications

Alignment-free phylogeny of whole genomes using underlying subwords

Algorithms for Molecular Biology / Dec 01, 2012

Comin, M., & Verzotto, D. (2012). Alignment-free phylogeny of whole genomes using underlying subwords. Algorithms for Molecular Biology, 7(1). https://doi.org/10.1186/1748-7188-7-34

The Irredundant Class Method for Remote Homology Detection of Protein Sequences

Journal of Computational Biology / Dec 01, 2011

Comin, M., & Verzotto, D. (2011). The Irredundant Class Method for Remote Homology Detection of Protein Sequences. Journal of Computational Biology, 18(12), 1819–1829. https://doi.org/10.1089/cmb.2010.0171

Classification of protein sequences by means of irredundant patterns

BMC Bioinformatics / Jan 01, 2010

Comin, M., & Verzotto, D. (2010). Classification of protein sequences by means of irredundant patterns. BMC Bioinformatics, 11(S1). https://doi.org/10.1186/1471-2105-11-s1-s16

Classification of protein sequences by means of irredundant patterns

BMC Bioinformatics / Jan 01, 2010

Comin, M., & Verzotto, D. (2010). Classification of protein sequences by means of irredundant patterns. BMC Bioinformatics, 11(S1). https://doi.org/10.1186/1471-2105-11-s1-s16

Beyond Fixed-Resolution Alignment-Free Measures for Mammalian Enhancers Sequence Comparison

IEEE/ACM Transactions on Computational Biology and Bioinformatics / Jul 01, 2014

Comin, M., & Verzotto, D. (2014). Beyond Fixed-Resolution Alignment-Free Measures for Mammalian Enhancers Sequence Comparison. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(4), 628–637. https://doi.org/10.1109/tcbb.2014.2306830

2014 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 11

IEEE/ACM Transactions on Computational Biology and Bioinformatics / Nov 01, 2014

2014 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 11. (2014). IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(6), 1273–1292. https://doi.org/10.1109/tcbb.2014.2381091

Guest editorial for the 12th Asia Pacific Bioinformatics Conference

IEEE/ACM Transactions on Computational Biology and Bioinformatics / Jul 01, 2014

Zhou, S., & Phoebe Chen, Y.-P. (2014). Guest editorial for the 12th Asia Pacific Bioinformatics Conference. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(4), 614–615. https://doi.org/10.1109/tcbb.2014.2327487

Editorial: Special Issue on Algorithms for Sequence Analysis and Storage

Algorithms / Mar 25, 2014

Mäkinen, V. (2014). Editorial: Special Issue on Algorithms for Sequence Analysis and Storage. Algorithms, 7(1), 186–187. https://doi.org/10.3390/a7010186

Filtering Degenerate Patterns with Application to Protein Sequence Analysis

Algorithms / May 22, 2013

Comin, M., & Verzotto, D. (2013). Filtering Degenerate Patterns with Application to Protein Sequence Analysis. Algorithms, 6(2), 352–370. https://doi.org/10.3390/a6020352

Kayvan Najarian

Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (59)
biomedical inforamtics
bioinformatics
singal processing
image processing
machine learning
And 54 more
Most Relevant Publications (4+)

106 total publications

An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram

Computational and Mathematical Methods in Medicine / Jan 01, 2012

Belle, A., Hargraves, R. H., & Najarian, K. (2012). An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram. Computational and Mathematical Methods in Medicine, 2012, 1–12. https://doi.org/10.1155/2012/528781

Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries

Computational and Mathematical Methods in Medicine / Jan 01, 2012

Davuluri, P., Wu, J., Tang, Y., Cockrell, C. H., Ward, K. R., Najarian, K., & Hargraves, R. H. (2012). Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries. Computational and Mathematical Methods in Medicine, 2012, 1–12. https://doi.org/10.1155/2012/898430

An Entropy-Based Automated Cell Nuclei Segmentation and Quantification: Application in Analysis of Wound Healing Process

Computational and Mathematical Methods in Medicine / Jan 01, 2013

Oswal, V., Belle, A., Diegelmann, R., & Najarian, K. (2013). An Entropy-Based Automated Cell Nuclei Segmentation and Quantification: Application in Analysis of Wound Healing Process. Computational and Mathematical Methods in Medicine, 2013, 1–10. https://doi.org/10.1155/2013/592790

Preprocessing Sequence Coverage Data for More Precise Detection of Copy Number Variations

IEEE/ACM Transactions on Computational Biology and Bioinformatics / May 01, 2020

Zare, F., Ansari, S., Najarian, K., & Nabavi, S. (2020). Preprocessing Sequence Coverage Data for More Precise Detection of Copy Number Variations. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(3), 868–876. https://doi.org/10.1109/tcbb.2018.2869738

Dr. Wen Cebuhar, PhD

Port Washington, New York, United States of America
Consulting Engineer
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (28)
Semiconductors
Control Systems
Advanced Mechatronics
Management Science and Operations Research
Control and Optimization
And 23 more
Most Relevant Publications (4+)

12 total publications

Approximation procedures for the optimal control of bilinear and nonlinear systems

Journal of Optimization Theory and Applications / Aug 01, 1984

Cebuhar, W. A., & Costanza, V. (1984). Approximation procedures for the optimal control of bilinear and nonlinear systems. Journal of Optimization Theory and Applications, 43(4), 615–627. https://doi.org/10.1007/bf00935009

Dynamic output feedback regulation for a class of nonlinear systems

Mathematics of Control, Signals, and Systems / Jun 01, 1993

Pomet, J.-B., Hirschorn, R. M., & Cebuhar, W. A. (1993). Dynamic output feedback regulation for a class of nonlinear systems. Mathematics of Control, Signals, and Systems, 6(2), 106–124. https://doi.org/10.1007/bf01211742

Nonlinear control of CSTR's

Chemical Engineering Science / Jan 01, 1984

Cebuhar, W. A., & Costanza, V. (1984). Nonlinear control of CSTR’s. Chemical Engineering Science, 39(12), 1715–1722. https://doi.org/10.1016/0009-2509(84)80105-0

APPROXIMATE LINEARIZATION OF CONTROL SYSTEMS WITH DISCONTINUOUS NON‐LINEARITIES

Optimal Control Applications and Methods / Oct 01, 1995

Cebuhar, W. A. (1995). APPROXIMATE LINEARIZATION OF CONTROL SYSTEMS WITH DISCONTINUOUS NON‐LINEARITIES. Optimal Control Applications and Methods, 16(5), 341–359. Portico. https://doi.org/10.1002/j.1099-1514.1995.tb00025.x

Dr. James C. Kaufman

Professor at University of Connecticut, Expert in Creativity
Most Relevant Research Interests
General Mathematics
Other Research Interests (51)
Creativity
giftedness
personality
intelligence
meaning
And 46 more
About
James C. Kaufman is a Professor of Educational Psychology at the Neag School of Education at the University of Connecticut. He has written or edited more than 50 books. These include: the recently published *The Creativity Advantage* (Cambridge); the forthcoming *Lessons in Creativity from Musical Theatre Characters* (with Dana P. Rowe; Routledge); two editions of *Cambridge Handbook of Creativity* (with Robert J. Sternberg) and five other Cambridge Handbooks; two editions of *Creativity 101* (Springer); and a book on terrible baseball pitchers with his father and a book on pseudoscience with his wife. James has developed many theories, most notably the Four C’s (with Ron Beghetto). He has developed several self-report measures of creativity and is currently focusing on positive outcomes of creativity. James has won many awards, including Mensa’s research award, the Torrance Award from the National Association for Gifted Children, the World Council for Gifted and Talented Children’s International Creativity Award, and APA’s Berlyne, Arnheim, and Farnsworth awards. He co-founded two major journals, *Psychology of Aesthetics, Creativity, and the Arts* and *Psychology of Popular Media Culture* and is the current Senior Associate Editor for *Creativity Research Journal*. He has tested Dr. Sanjay Gupta’s creativity on CNN; written the book and lyrics to the musical *Discovering Magenta* (which played NYC and has a cast album); and appeared onscreen, complete with white lab coat, in the comic book documentary *Independents*.
Most Relevant Publications (1+)

227 total publications

Do we all have multicreative potential?

ZDM / Oct 10, 2008

Beghetto, R. A., & Kaufman, J. C. (2008). Do we all have multicreative potential? ZDM, 41(1–2), 39–44. https://doi.org/10.1007/s11858-008-0143-7

Enrico Capobianco

The Jackson Laboratory, USA
Most Relevant Research Interests
General Mathematics
Applied Mathematics
Computational Mathematics
Other Research Interests (38)
Networks
Machine Learning
Big Data
Systems Biology & Medicine
Statistics
And 33 more
About
Wide multiyear experience in computational biomedicine with specialty areas : Ai/ML/DL Big data Network Medicine Systems Medicine Personalized and Precision Medicine Oncoradiomics Cancer Complex systems inference
Most Relevant Publications (15+)

96 total publications

null

Methodology And Computing In Applied Probability / Jan 01, 1999

Capobianco, E. (1999). Methodology And Computing In Applied Probability, 1(4), 423–443. https://doi.org/10.1023/a:1010010825105

Comorbidity networks: beyond disease correlations

Journal of Complex Networks / Jan 07, 2015

Capobianco, E., & Liò, P. (2015). Comorbidity networks: beyond disease correlations. Journal of Complex Networks, 3(3), 319–332. https://doi.org/10.1093/comnet/cnu048

Independent Multiresolution Component Analysis and Matching Pursuit

Computational Statistics &amp; Data Analysis / Mar 01, 2003

Capobianco, E. (2003). Independent Multiresolution Component Analysis and Matching Pursuit. Computational Statistics &amp; Data Analysis, 42(3), 385–402. https://doi.org/10.1016/s0167-9473(02)00217-7

Sub-Modular Resolution Analysis by Network Mixture Models

Statistical Applications in Genetics and Molecular Biology / Jan 09, 2010

Marras, E., Travaglione, A., & Capobianco, E. (2010). Sub-Modular Resolution Analysis by Network Mixture Models. Statistical Applications in Genetics and Molecular Biology, 9(1). https://doi.org/10.2202/1544-6115.1523

In vivo quantitation of metabolites with an incomplete model function

Measurement Science and Technology / Sep 04, 2009

Popa, E., Capobianco, E., de Beer, R., van Ormondt, D., & Graveron-Demilly, D. (2009). In vivo quantitation of metabolites with an incomplete model function. Measurement Science and Technology, 20(10), 104032. https://doi.org/10.1088/0957-0233/20/10/104032

Empowering Spot Detection in 2DE Images by Wavelet Denoising

In Silico Biology / Jan 01, 2009

Soggiu, A., Marullo, O., Roncada, P., & Capobianco, E. (2009). Empowering Spot Detection in 2DE Images by Wavelet Denoising. In Silico Biology, 9(3), 125–133. https://doi.org/10.3233/isb-2009-0393

Inferring modules from human protein interactome classes

BMC Systems Biology / Jul 23, 2010

Marras, E., Travaglione, A., Chaurasia, G., Futschik, M., & Capobianco, E. (2010). Inferring modules from human protein interactome classes. BMC Systems Biology, 4(1). https://doi.org/10.1186/1752-0509-4-102

Epigenetically driven network cooperativity: meta-analysis in multi-drug resistant osteosarcoma

Journal of Complex Networks / Jul 09, 2015

Mora, A., Taranta, M., Zaki, N., Cinti, C., & Capobianco, E. (2015). Epigenetically driven network cooperativity: meta-analysis in multi-drug resistant osteosarcoma. Journal of Complex Networks, 4(2), 296–317. https://doi.org/10.1093/comnet/cnv017

Neural networks and statistical inference: seeking robust and efficient learning

Computational Statistics &amp; Data Analysis / Jan 01, 2000

Capobianco, E. (2000). Neural networks and statistical inference: seeking robust and efficient learning. Computational Statistics &amp; Data Analysis, 32(3–4), 443–454. https://doi.org/10.1016/s0167-9473(99)00089-4

Neural networks and statistical inference: seeking robust and efficient learning

Computational Statistics &amp; Data Analysis / Jan 01, 2000

Capobianco, E. (2000). Neural networks and statistical inference: seeking robust and efficient learning. Computational Statistics &amp; Data Analysis, 32(3–4), 443–454. https://doi.org/10.1016/s0167-9473(99)00089-4

Manifold Learning in Protein Interactomes

Journal of Computational Biology / Jan 01, 2011

Marras, E., Travaglione, A., & Capobianco, E. (2011). Manifold Learning in Protein Interactomes. Journal of Computational Biology, 18(1), 81–96. https://doi.org/10.1089/cmb.2009.0258

Entropy embedding and fluctuation analysis in genomic manifolds

Communications in Nonlinear Science and Numerical Simulation / Jun 01, 2009

Capobianco, E. (2009). Entropy embedding and fluctuation analysis in genomic manifolds. Communications in Nonlinear Science and Numerical Simulation, 14(6), 2602–2618. https://doi.org/10.1016/j.cnsns.2008.09.015

Multiscale Characterization of Signaling Network Dynamics through Features

Statistical Applications in Genetics and Molecular Biology / Jan 20, 2011

Capobianco, E., Marras, E., & Travaglione, A. (2011). Multiscale Characterization of Signaling Network Dynamics through Features. Statistical Applications in Genetics and Molecular Biology, 10(1). https://doi.org/10.2202/1544-6115.1657

Inference From Complex Networks: Role of Symmetry and Applicability to Images

Frontiers in Applied Mathematics and Statistics / Jul 09, 2020

Capobianco, E. (2020). Inference From Complex Networks: Role of Symmetry and Applicability to Images. Frontiers in Applied Mathematics and Statistics, 6. https://doi.org/10.3389/fams.2020.00023

Multivariate probability density estimation by wavelet methods: Strong consistency and rates for stationary time series

Stochastic Processes and their Applications / May 01, 1997

Masry, E. (1997). Multivariate probability density estimation by wavelet methods: Strong consistency and rates for stationary time series. Stochastic Processes and Their Applications, 67(2), 177–193. https://doi.org/10.1016/s0304-4149(96)00005-1

Wenjia Feng

Ph.D. student at Washington University in Saint Louis interested in ctDNA liquid biopsy field.
Most Relevant Research Interests
Computational Mathematics
Other Research Interests (12)
Bioinformatics
General Medicine
Cancer Research
Oncology
Radiology, Nuclear Medicine and imaging
And 7 more
Most Relevant Publications (1+)

34 total publications

PACT: a pipeline for analysis of circulating tumor DNA

Bioinformatics / Aug 01, 2023

Webster, J., Dang, H. X., Chauhan, P. S., Feng, W., Shiang, A., Harris, P. K., Pachynski, R. K., Chaudhuri, A. A., & Maher, C. A. (2023). PACT: a pipeline for analysis of circulating tumor DNA. Bioinformatics, 39(8). https://doi.org/10.1093/bioinformatics/btad489

David Studholme

Senior Lecturer / Associate Professor at University of Exeter
Most Relevant Research Interests
Computational Mathematics
Applied Mathematics
Other Research Interests (54)
Genetics
Multidisciplinary
Molecular Biology
Molecular Medicine
Microbiology
And 49 more
Most Relevant Publications (4+)

190 total publications

Finding sRNA generative locales from high-throughput sequencing data with NiBLS

BMC Bioinformatics / Feb 18, 2010

MacLean, D., Moulton, V., & Studholme, D. J. (2010). Finding sRNA generative locales from high-throughput sequencing data with NiBLS. BMC Bioinformatics, 11(1). https://doi.org/10.1186/1471-2105-11-93

A toolkit for analysing large-scale plant small RNA datasets

Bioinformatics / Aug 19, 2008

Moxon, S., Schwach, F., Dalmay, T., MacLean, D., Studholme, D. J., & Moulton, V. (2008). A toolkit for analysing large-scale plant small RNA datasets. Bioinformatics, 24(19), 2252–2253. https://doi.org/10.1093/bioinformatics/btn428

Marker development for the genetic study of natural variation inArabidopsis thaliana

Bioinformatics / Nov 15, 2007

Nemri, A., Neff, M. M., Burrell, M., Jones, J. D. G., & Studholme, D. J. (2007). Marker development for the genetic study of natural variation inArabidopsis thaliana. Bioinformatics, 23(22), 3108–3109. https://doi.org/10.1093/bioinformatics/btm501

G8: a novel domain associated with polycystic kidney disease and non-syndromic hearing loss

Bioinformatics / Apr 21, 2006

He, Q., Liu, X., Li, Q., Studholme, D. J., Li, X., & Liang, S. (2006). G8: a novel domain associated with polycystic kidney disease and non-syndromic hearing loss. Bioinformatics, 22(18), 2189–2191. https://doi.org/10.1093/bioinformatics/btl123

Jonathan Moore

Genome edit designer
Most Relevant Research Interests
Computational Mathematics
Applied Mathematics
Other Research Interests (49)
Data science
Genome editing
Bioinformatics
Evolution
Biodiversity
And 44 more
Most Relevant Publications (4+)

72 total publications

MEME-LaB: motif analysis in clusters

Bioinformatics / May 14, 2013

Brown, P., Baxter, L., Hickman, R., Beynon, J., Moore, J. D., & Ott, S. (2013). MEME-LaB: motif analysis in clusters. Bioinformatics, 29(13), 1696–1697. https://doi.org/10.1093/bioinformatics/btt248

MCMC-ODPR: Primer design optimization using Markov Chain Monte Carlo sampling

BMC Bioinformatics / Nov 05, 2012

Kitchen, J. L., Moore, J. D., Palmer, S. A., & Allaby, R. G. (2012). MCMC-ODPR: Primer design optimization using Markov Chain Monte Carlo sampling. BMC Bioinformatics, 13(1). https://doi.org/10.1186/1471-2105-13-287

CWRML: representing crop wild relative conservation and use data in XML

BMC Bioinformatics / Feb 25, 2008

Moore, J. D., Kell, S. P., Iriondo, J. M., Ford-Lloyd, B. V., & Maxted, N. (2008). CWRML: representing crop wild relative conservation and use data in XML. BMC Bioinformatics, 9(1). https://doi.org/10.1186/1471-2105-9-116

TreeMos: a high-throughput phylogenomic approach to find and visualize phylogenetic mosaicism

Bioinformatics / Jan 19, 2008

Moore, J. D., & Allaby, R. G. (2008). TreeMos: a high-throughput phylogenomic approach to find and visualize phylogenetic mosaicism. Bioinformatics, 24(5), 717–718. https://doi.org/10.1093/bioinformatics/btn027

Marian Grendar, Ph.D.

Most Relevant Research Interests
Applied Mathematics
Computational Mathematics
Other Research Interests (65)
Gastroenterology
Hepatology
Cancer Research
Oncology
Physical Therapy, Sports Therapy and Rehabilitation
And 60 more
Most Relevant Publications (2+)

117 total publications

STRONG LAWS FOR RECURRENCE QUANTIFICATION ANALYSIS

International Journal of Bifurcation and Chaos / Aug 01, 2013

GRENDÁR, M., MAJEROVÁ, J., & ŠPITALSKÝ, V. (2013). STRONG LAWS FOR RECURRENCE QUANTIFICATION ANALYSIS. International Journal of Bifurcation and Chaos, 23(08), 1350147. https://doi.org/10.1142/s0218127413501472

Maximum probability/entropy translating of contiguous categorical observations into frequencies

Applied Mathematics and Computation / Feb 01, 2005

Grendar, M., & Grendar, M. (2005). Maximum probability/entropy translating of contiguous categorical observations into frequencies. Applied Mathematics and Computation, 161(2), 347–351. https://doi.org/10.1016/j.amc.2003.12.024

Abbas Alameer

Assistant Professor of Bioinformatics at Kuwait University
Most Relevant Research Interests
Computational Mathematics
Other Research Interests (10)
Bioinformatics
Computational Theory and Mathematics
Computer Science Applications
Molecular Biology
Biochemistry
And 5 more
About
Abbas Alameer is an Assistant Professor of Bioinformatics at Kuwait University. He received his PhD in Bioinformatics and Molecular Modelling from the University of Leicester in 2014 and his MRes in Bioinformatics and Computational Biology from the University of Leeds in 2006. He has over 10 years of experience in bioinformatics related research and teaching. His research focuses on the computational analysis and modelling of biological molecules, and the development of novel algorithms and Bioinformatics tools. He has published several articles in leading journals in the field and has presented his work at international conferences.
Most Relevant Publications (2+)

3 total publications

geoCancerPrognosticDatasetsRetriever: a bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO)

Bioinformatics / Dec 22, 2021

Alameer, A., & Chicco, D. (2021). geoCancerPrognosticDatasetsRetriever: a bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO). Bioinformatics, 38(6), 1761–1763. https://doi.org/10.1093/bioinformatics/btab852

Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

BioData Mining / Nov 03, 2022

Chicco, D., Alameer, A., Rahmati, S., & Jurman, G. (2022). Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. BioData Mining, 15(1). https://doi.org/10.1186/s13040-022-00312-y

C. Douglas Johnson, Ph.D.

Teaching Professor (Leadership and Management), Wake Forest University
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (17)
careers
diversity
business education
Applied Psychology
Developmental and Educational Psychology
And 12 more
Most Relevant Publications (1+)

34 total publications

Assessing the Multigroup Ethnic Identity Measure for Measurement Equivalence Across Racial and Ethnic Groups

Educational and Psychological Measurement / Jun 06, 2007

Avery, D. R., Tonidandel, S., Thomas, K. M., Johnson, C. D., & Mack, D. A. (2007). Assessing the Multigroup Ethnic Identity Measure for Measurement Equivalence Across Racial and Ethnic Groups. Educational and Psychological Measurement, 67(5), 877–888. https://doi.org/10.1177/0013164406299105

Patrick Siddavaatam, Ph.D.

AI ML Director
Most Relevant Research Interests
General Mathematics
Applied Mathematics
Other Research Interests (25)
IoT Communications
IoT Hardware High Level Synthesis
IoT Lightweight Cryptography
Machine Learning
Artificial Intelligence
And 20 more
About
Experienced Multi-Disciplinary Research Leader: As a seasoned multi-disciplinary research leader, I have successfully navigated the realms of academia and industry. My diverse experience has honed my ability to bridge the gap between theoretical exploration and real-life applications, translating cutting-edge research into tangible innovations. <br> Passionate Problem Solver: I am deeply passionate about utilizing machine learning-enabled optimization techniques to solve intricate real-world problems. My relentless drive to push the boundaries of AI technology motivates me to seek novel solutions and unlock new possibilities in various domains. AI for Autonomous Systems: With a keen interest in autonomous systems, I have spearheaded research efforts in the development of AI technologies for autonomous vehicles, contributing to the advancement of safe and efficient transportation. Wireless Communications and IoT Enthusiast: I am enthusiastic about wireless communication technologies and their seamless integration with IoT systems. Through my research, I aim to revolutionize connectivity and foster a more interconnected world. Quantum Computing Pioneer: As a trailblazer in quantum computing, I explore the potential of quantum algorithms to address complex computational challenges and complement classical computing techniques. Hardware Synthesis Innovator: My expertise extends to hardware synthesis and acceleration, where I lead the way in designing high-performance computing systems tailored to AI and ML workloads. Market Basket Analytics and Recommender Systems: I specialize in the development of sophisticated market basket analytics and recommender systems, revolutionizing personalization and customer experiences in diverse industries. Advancing Healthcare Analytics and AI in Medicine: My dedication to advancing healthcare analytics has driven me to leverage AI and ML techniques to extract valuable insights from medical data, with the potential to transform patient care and clinical decision-making. Effective Team Builder and Communicator: Recognized as an effective team builder and communicator, I thrive in fostering a collaborative and inclusive environment where diverse perspectives flourish. My leadership acumen enables me to lead high-performing teams and drive innovation with a shared vision. I hold a PhD in Electrical and Computer Engineering, with a primary focus on optimization techniques, advanced mathematical modeling and algorithm development, enabling me to tackle complex challenges in AI and machine learning with a unique approach.
Most Relevant Publications (2+)

24 total publications

Tightly Secure PKE Combiner in the Quantum Random Oracle Model

Cryptography / Mar 29, 2022

Goncalves, B., & Mashatan, A. (2022). Tightly Secure PKE Combiner in the Quantum Random Oracle Model. Cryptography, 6(2), 15. https://doi.org/10.3390/cryptography6020015

Grey Wolf Optimizer Driven design space exploration: A novel framework for multi-objective trade-off in architectural synthesis

Swarm and Evolutionary Computation / Sep 01, 2019

Siddavaatam, P., & Sedaghat, R. (2019). Grey Wolf Optimizer Driven design space exploration: A novel framework for multi-objective trade-off in architectural synthesis. Swarm and Evolutionary Computation, 49, 44–61. https://doi.org/10.1016/j.swevo.2019.04.006

Javier Gonzalo González Fontanet

PhD. Student of Electronic Engineering UTFSM
Most Relevant Research Interests
Computational Mathematics
Other Research Interests (10)
control automático
electrónica
modelado e identificación de sistemas
Control and Systems Engineering
General Computer Science
And 5 more
Most Relevant Publications (1+)

7 total publications

Glottal Airflow Estimation Using Neck Surface Acceleration and Low-Order Kalman Smoothing

IEEE/ACM Transactions on Audio, Speech, and Language Processing / Jan 01, 2023

Morales, A., Yuz, J. I., Cortés, J. P., Fontanet, J. G., & Zañartu, M. (2023). Glottal Airflow Estimation Using Neck Surface Acceleration and Low-Order Kalman Smoothing. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, 2055–2066. https://doi.org/10.1109/taslp.2023.3277269

Michelle Niedziela, PhD

🧠 Passionate Behavioral Neuroscience Expert | Bridging Science and Consumer Insights 🌍
Most Relevant Research Interests
General Mathematics
Other Research Interests (23)
neuroscience
cognitive science
market research
consumer science
sensory science
And 18 more
About
Greetings! I'm Michelle Murphy Niedziela (PhD), a dedicated professional with a background in behavioral neuroscience, neuropsychology, and consumer science. With a strong foothold in both academia and industry, I've cultivated a unique blend of expertise that merges the realms of science and market insights. <br> 📚 My academic journey started with a BS in psychology and neuroscience from Florida State University, then led me to Purdue University's IBRC (Ingestive Behavior Research Institute) program, where I earned a PhD and Masters in behavioral neuroscience and behavioral neurogenetics. 🔬 I embarked on my professional journey as a post-doctoral fellow at Monell Chemical Senses Center, contributing to industry-sponsored research on functional ingredients. This ignited my passion for bridging the gap between scientific innovation and practical application. And subsequently taking on the role of technical lead for flavor and fragrance innovation programs at Johnson & Johnson (now Kenvue), followed by impactful Global Sensory work at Mars Chocolate, where I spearheaded global sensory projects and optimized ingredient sourcing. 🚀 Presently, I proudly serve as the VP of Research & Innovation at HCD Research. In this dynamic role, I concentrate on fusing cutting-edge consumer neuroscience tools and emerging technologies with traditional market research methodologies, yielding comprehensive insights into consumer behavior. 🌐 Beyond my professional endeavors, I'm an ardent science advocate and active participant in the scientific community. My contributions extend to organizations such as SSP and ASTM (E18 and D37), where I've engaged for numerous years. I'm also a published author, with articles in peer-reviewed journals, enlightening book chapters, and a regular presence in trade journals and magazines. Furthermore, I co-host the illuminating podcast/vidcast series 'MindSet,' a platform where we delve into intriguing topics at the intersection of behavioral consumer science. 🔍 Let's connect and explore the infinite possibilities at the nexus of neuroscience, psychology, and consumer insights with a behavioral sciences framework.
Most Relevant Publications (1+)

26 total publications

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Mathematical Methods in the Applied Sciences / Nov 30, 2022

(2022). Mathematical Methods in the Applied Sciences, 45(17). https://doi.org/10.1002/mma.v45.17

Payam Zarrintaj, Ph.D.

"World Top 2% Scientist" "Senior Scientist at allnex"
Most Relevant Research Interests
Computational Mathematics
Other Research Interests (72)
Polymer Engineering
Biomaterials
Tissue engineering
Drug delivery
Materials Chemistry
And 67 more
About
**Payam Zarrintaj** earned his Ph.D. in Polymer Engineering-Tissue Engineering from Tehran University in 2018. Then he joined Oklahoma State University and the University of Montana as a Postdoctoral research associate. His research interests involve understanding advanced polymers in the biomedical field, including tissue engineering and drug delivery. He is known for developing strategies for treating damaged tissues/organs and controlling biological substances for target delivery into the human body using smart and stimuli-responsive polymers. He has published extensively in the area of polymer/biomedical engineering, and as of November 2023, he has been cited more than 7300 times and has an h-index of 48. Furthermore, some of his publications earned him the honor of being included among the "Top Hottest Articles" and featured as "The most downloaded articles" and "The most cited articles" from ScienceDirect. He has received several awards, including "Top Peer Reviewer" (2019) and "outstanding reviewer." Also, he was listed as the world's top 2% scientist for two consecutive years (2022 and 2023). Right now, he is a senior scientist at allnex.
Most Relevant Publications (1+)

114 total publications

Correlation between surface topological defects and fracture mechanism of γ-graphyne-like boron nitride nanosheets

Computational Materials Science / Feb 01, 2021

Bagheri, B., Zarghami Dehaghani, M., Karami, Z., Salmankhani, A., Rostamiyan, Y., Zarrintaj, P., Hamed Mashhadzadeh, A., & Saeb, M. R. (2021). Correlation between surface topological defects and fracture mechanism of γ-graphyne-like boron nitride nanosheets. Computational Materials Science, 188, 110152. https://doi.org/10.1016/j.commatsci.2020.110152

Dr. Troy Trottier

Dmitry Gritsenko

AI -based model trainer and digital marketer with STEM background
Most Relevant Research Interests
Computational Mechanics
Mathematical Physics
Applied Mathematics
Other Research Interests (33)
Biomedical Engineering
Biophysics
Biotechnology
General Medicine
Electrochemistry
And 28 more
Most Relevant Publications (4+)

19 total publications

Pressure of a viscous droplet squeezing through a short circular constriction: An analytical model

Physics of Fluids / Oct 01, 2018

Zhang, Z., Drapaca, C., Gritsenko, D., & Xu, J. (2018). Pressure of a viscous droplet squeezing through a short circular constriction: An analytical model. Physics of Fluids, 30(10). https://doi.org/10.1063/1.5045495

Vibrational modes prediction for water-air bubbles trapped in circular microcavities

Physics of Fluids / Aug 01, 2018

Gritsenko, D., Lin, Y., Hovorka, V., Zhang, Z., Ahmadianyazdi, A., & Xu, J. (2018). Vibrational modes prediction for water-air bubbles trapped in circular microcavities. Physics of Fluids, 30(8). https://doi.org/10.1063/1.5037328

Transverse vibrations of cantilever beams: Analytical solutions with general steady-state forcing

Applications in Engineering Science / Sep 01, 2020

Gritsenko, D., Xu, J., & Paoli, R. (2020). Transverse vibrations of cantilever beams: Analytical solutions with general steady-state forcing. Applications in Engineering Science, 3, 100017. https://doi.org/10.1016/j.apples.2020.100017

Differential invariants of feedback transformations for quasi-harmonic oscillation equations

Journal of Geometry and Physics / Mar 01, 2017

Gritsenko, D. S., & Kiriukhin, O. M. (2017). Differential invariants of feedback transformations for quasi-harmonic oscillation equations. Journal of Geometry and Physics, 113, 65–72. https://doi.org/10.1016/j.geomphys.2016.08.010

Alborz Rezazadeh, Ph.D.

Leader in Applied Machine Learning and A with 11 years of research and product experience | 8 years of experience in Healthcare, Drug Discovery and Biotechnology | Author of over 20 peer-reviewed papers and patents with over 500 citations and an h-index of 10.
Most Relevant Research Interests
Computational Mathematics
Other Research Interests (20)
Brain-computer Interfaces
Artificial Intelligence
Machine Learning
Computer Vision
Electrical and Electronic Engineering
And 15 more
About
Alborz Rezazadeh is a distinguished leader in the fields of AI, machine learning (ML), and computer vision (CV). In his current role as the Director of Applied CV at Recursion, a biotechnology company dedicated to revolutionizing drug discovery through AI, he has developed the applied CV/ML department, overseeing a team of over 10 ML scientists and engineers. Under his visionary leadership, the team has achieved remarkable success in foundational CV models, video analysis, multimodal learning, and the integration of large language models to expedite drug discovery processes. Alborz's leadership has fostered innovation and cost savings in the biotechnology sector. Before joining Recursion, Alborz spent two years as the Team Lead and Staff AI Scientist at LG AI Research Lab, where he led a team of eight ML scientists and engineers, successfully delivering projects in object detection, image classification, real-time pose estimation, and few-shot learning for various applications and LG products. Prior to his time at LG, Alborz contributed to pioneering deep-learning research for smartphones and appliances during his two-year tenure at Samsung AI Research Center. He also published multiple papers in prestigious AI conferences. Before entering the world of AI and ML, from 2012 to 2014, Alborz served as an Electrical Engineer at North Inc, where he was one of the initial two employees and played a pivotal role in the company's transformation into a unicorn startup. Alborz holds a PhD in Biomedical Eng. from the University of Toronto (2014-2018), where he developed groundbreaking brain-computer interfaces. His research earned him the "Best PhD Thesis" award from the University. He obtained his master's degree in Electrical Eng. (EE) from the University of Waterloo (2010-2012) and his B.Sc. degree in EE from Sharif University. Throughout his career, Alborz has demonstrated a passion for technology, visionary leadership, and a commitment to pushing the boundaries of AI.
Most Relevant Publications (1+)

15 total publications

EEG Classification of Covert Speech Using Regularized Neural Networks

IEEE/ACM Transactions on Audio, Speech, and Language Processing / Dec 01, 2017

Rezazadeh Sereshkeh, A., Trott, R., Bricout, A., & Chau, T. (2017). EEG Classification of Covert Speech Using Regularized Neural Networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25(12), 2292–2300. https://doi.org/10.1109/taslp.2017.2758164

Maria Daniela Defagó

Professor and researcher, Universidad Nacional de Córdoba and CONICET
Most Relevant Research Interests
General Mathematics
Other Research Interests (51)
nutrición
epidemiología
evaluación nutricional
genómica nutricional
Nutrition and Dietetics
And 46 more
About
María Daniela Defagó graduated with a Bachelor's Degree in Nutrition (2003), later obtaining the title of Technical Assistant in Bromatology (2004), a Doctor of Health Sciences at the National University of Córdoba (2010) and a Master's Degree in Clinical Effectiveness from the University of Buenos Aires (2017). She completed her postdoctoral degree in the Department of Cardiovascular Epidemiology at Tulane University (New Orleans, United States, 2011-2012), training in genetic and molecular epidemiology. She was a fellow of the Bernard Lown Cardiovascular Health program at Harvard University, United States (2014). She currently works as a teacher-researcher at the School of Nutrition of the Faculty of Medical Sciences (UNC), an associate researcher at INICSA-CONICET and as an associate researcher at the Center of Excellence in Cardiovascular Health (Institute of Clinical and Health Effectiveness, Buenos Aires). Aires). Her line of research includes the study of chronic diseases and biomarkers. She has participated in numerous national and international scientific events and has publications in international scientific journals. She is co-director of the Public Health Magazine of the National University of Córdoba since 2021.
Most Relevant Publications (1+)

65 total publications

Explorando el uso de herramientas de sensores remotos y tecnologías geoespaciales aplicadas al problema multidimensional de la seguridad alimentaria

Uniciencia / Nov 01, 2022

Di Fino, E. M., Scavuzzo, C. M., Campero, M. N., Scavuzzo, C. M., & Defagó, M. D. (2022). Explorando el uso de herramientas de sensores remotos y tecnologías geoespaciales aplicadas al problema multidimensional de la seguridad alimentaria. Uniciencia, 36(1), 1–15. https://doi.org/10.15359/ru.36-1.48

Prathamesh Deshpande

Postdoctoral Researcher at San Jose State University Research Foundation
Most Relevant Research Interests
Computational Mechanics
Computational Mathematics
Other Research Interests (26)
Molecular Dynamics
Process Modeling
Multiscale Modeling
FEM
Polymers and Plastics
And 21 more
About
With a Ph.D. in Mechanical Engineering from Michigan Technological University, I am a Postdoctoral Researcher at San José State University Research Foundation, where I work on a multidisciplinary project to discover high-performance structures using quantum dot nanocomposites. This project, funded by the National Science Foundation, combines molecular dynamics, machine learning, and data-driven methods to explore the mechanical behavior of novel materials at different scales. My research interests and skills include material design, polymer composites, micro-mechanics, solid mechanics, stress analysis, finite element analysis, optimization, and geometric modeling. I have extensive experience in using molecular dynamics simulations to investigate the interfacial properties of carbon-reinforced composites and developing machine learning models to efficiently map interfacial configurations to interfacial strength. I have also worked on developing an integrated computational materials engineering framework to predict the thermo-mechanical properties of polymer matrix composites using nanoscale results. I have published multiple papers in peer-reviewed journals and conferences and received an outstanding graduate student teaching award for my role as a lab instructor for a finite element methods course. I am passionate about advancing the knowledge and innovation in the field of computational mechanics and materials design and collaborating with researchers and industry partners to solve challenging engineering problems.
Most Relevant Publications (1+)

32 total publications

Interfacial characteristics between flattened CNT stacks and polyimides: A molecular dynamics study

Computational Materials Science / Dec 01, 2020

Patil, S. U., Radue, M. S., Pisani, W. A., Deshpande, P., Xu, H., Al Mahmud, H., Dumitrică, T., & Odegard, G. M. (2020). Interfacial characteristics between flattened CNT stacks and polyimides: A molecular dynamics study. Computational Materials Science, 185, 109970. https://doi.org/10.1016/j.commatsci.2020.109970

Mikhail Granovskiy

Syngas and Hydrogen production; Power generation;
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (12)
General Medicine
General Chemical Engineering
General Chemistry
Industrial and Manufacturing Engineering
Energy Engineering and Power Technology
And 7 more
About
\_ Life cycle assessment of hydrogen production and utilization technologies in accordance with principles and requirements for conducting and reporting life cycle assessment studies (ISO 14040/44) \_An expert proficiency in midstream purification and downstream reforming of natural gas to generate syngas (hydrogen) for production of methanol, ammonia, Fisher-Tropsh synthesis, and other industrial chemicals; gasification/pyrolysis technologies to produce syngas from coal, biomass, municipal solid waste; hydrogen utilization (hydro-treatment, hydro-cracking, synthetic chemistry); heavy residuals coking; partial oxidation and combustion of hydrocarbons \_20+ year experience in mathematical modeling and simulation of various chemical/catalytic and mechanical processes in order to scaling up, improve their efficiencies or determine the cause of a failure \_ Efficient collaborative work in academic and industrial environments \_Advanced writing skills as evidenced by a solid publication record \_ 10+ teaching experience on undergraduate and graduate level
Most Relevant Publications (1+)

4 total publications

New integrated scheme of the closed gas-turbine cycle with synthesis gas production

Chemical Engineering Science / Sep 01, 2003

Granovskii, M. S., & Safonov, M. S. (2003). New integrated scheme of the closed gas-turbine cycle with synthesis gas production. Chemical Engineering Science, 58(17), 3913–3921. https://doi.org/10.1016/s0009-2509(03)00289-6

vahid khoshkava

I am a versatile professional with expertise in smart materials, multi-physics simulation, signal processing, data science and machine learning; holding over 40 granted US patents..
Most Relevant Research Interests
General Mathematics
Other Research Interests (43)
Smart Materials | HCI
Materials Chemistry
Polymers and Plastics
Organic Chemistry
Materials Chemistry
And 38 more
About
I am a versatile professional with expertise in smart materials, multi-physics simulation, signal processing, data science, time series and frequency analysis, and machine learning. My diverse background, combined with this comprehensive knowledge, allows me to bridge the gap between technical intricacies and real-world applications. With a track record of innovation, I hold over 45 US patents and have adeptly managed various industrial projects while contributing to strategic objectives. My unique ability to seamlessly integrate technical proficiency with user-centered design empowers me to lead the creation of impactful products. I bring a multidimensional perspective and an unwavering commitment to excellence to every endeavor.
Most Relevant Publications (5+)

79 total publications

Position dependent mass Scarf Hamiltonians generated via the Riccati equation

Mathematical Methods in the Applied Sciences / May 21, 2018

Cruz y Cruz, S., & Santiago‐Cruz, C. (2018). Position dependent mass Scarf Hamiltonians generated via the Riccati equation. Mathematical Methods in the Applied Sciences, 42(15), 4909–4924. Portico. https://doi.org/10.1002/mma.5068

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Mathematical Methods in the Applied Sciences / Nov 15, 2019

(2019). Mathematical Methods in the Applied Sciences, 42(16). https://doi.org/10.1002/mma.v42.16

On plasmon modes in multi‐layer structures

Mathematical Methods in the Applied Sciences / Jul 17, 2023

Fang, X., & Deng, Y. (2023). On plasmon modes in multi‐layer structures. Mathematical Methods in the Applied Sciences, 46(17), 18075–18095. Portico. https://doi.org/10.1002/mma.9546

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Mathematical Methods in the Applied Sciences / Nov 15, 2021

(2021). Mathematical Methods in the Applied Sciences, 44(16). https://doi.org/10.1002/mma.v44.16

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Mathematical Methods in the Applied Sciences / Nov 15, 2021

(2021). Mathematical Methods in the Applied Sciences, 44(16). https://doi.org/10.1002/mma.v44.16

Kasra Mokhtari

ADAS/ Software Engineer at INDI EV
Most Relevant Research Interests
Computational Mechanics
Other Research Interests (9)
Autonomous Driving
Machine Learning
Control
Powertrain
Mechanics of Materials
And 4 more
Most Relevant Publications (1+)

10 total publications

Dynamic Modeling of an Out-Pipe Inspection Robot and Experimental Validation of the Proposed Model using Image Processing Technique

Iranian Journal of Science and Technology, Transactions of Mechanical Engineering / Mar 01, 2016

Sarvestani, A. A., Eghtesad, M., Fazlollahi, F., Goshtasbi, A., & Mokhtari, K. (2016). Dynamic Modeling of an Out-Pipe Inspection Robot and Experimental Validation of the Proposed Model using Image Processing Technique. Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 40(1), 77–85. https://doi.org/10.1007/s40997-016-0012-x

Michael Sebek

Boston, Massachusetts, United States of America
Northeastern University
Most Relevant Research Interests
Mathematical Physics
Applied Mathematics
General Mathematics
Other Research Interests (11)
network science
food science
electrochemistry
nonlinear dynamics
General Physics and Astronomy
And 6 more
About
Michael Sebek is a highly educated and experienced chemist with a passion for research and teaching. He received his Bachelor of Science in Chemistry from Truman State University in 2012, where he conducted undergraduate research in the field of analytical chemistry. He then went on to earn his Masters and Ph.D. in Chemistry from Saint Louis University by 2017, where his research focused on the interplay between network science and electrochemistry. After completing his Ph.D., Michael continued his research as a Post-Doctoral Researcher at Northeastern University, where he works in food science, network medicine, and AI/ML. His work has been published in several peer-reviewed journals and has been presented at national and international conferences.
Most Relevant Publications (5+)

22 total publications

Synchronization of three electrochemical oscillators: From local to global coupling

Chaos: An Interdisciplinary Journal of Nonlinear Science / Apr 01, 2018

Liu, Y., Sebek, M., Mori, F., & Kiss, I. Z. (2018). Synchronization of three electrochemical oscillators: From local to global coupling. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(4). https://doi.org/10.1063/1.5012520

Revival of oscillations from deaths in diffusively coupled nonlinear systems: Theory and experiment

Chaos: An Interdisciplinary Journal of Nonlinear Science / Jun 01, 2017

Zou, W., Sebek, M., Kiss, I. Z., & Kurths, J. (2017). Revival of oscillations from deaths in diffusively coupled nonlinear systems: Theory and experiment. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(6). https://doi.org/10.1063/1.4984927

Anti-phase collective synchronization with intrinsic in-phase coupling of two groups of electrochemical oscillators

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences / Oct 28, 2019

Sebek, M., Kawamura, Y., Nott, A. M., & Kiss, I. Z. (2019). Anti-phase collective synchronization with intrinsic in-phase coupling of two groups of electrochemical oscillators. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 377(2160), 20190095. https://doi.org/10.1098/rsta.2019.0095

Plasticity facilitates pattern selection of networks of chemical oscillations

Chaos: An Interdisciplinary Journal of Nonlinear Science / Aug 01, 2019

Sebek, M., & Kiss, I. Z. (2019). Plasticity facilitates pattern selection of networks of chemical oscillations. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(8). https://doi.org/10.1063/1.5109784

Finding influential nodes in networks using pinning control: Centrality measures confirmed with electrochemical oscillators

Chaos: An Interdisciplinary Journal of Nonlinear Science / Sep 01, 2023

Bomela, W., Sebek, M., Nagao, R., Singhal, B., Kiss, I. Z., & Li, J.-S. (2023). Finding influential nodes in networks using pinning control: Centrality measures confirmed with electrochemical oscillators. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(9). https://doi.org/10.1063/5.0163899

Hector Klie

CEO and Lead AI Researcher at DeepCast.ai, Adjunct Professor at Rice University
Most Relevant Research Interests
Computational Mathematics
Computational Mechanics
Applied Mathematics
Other Research Interests (24)
Artificial Intelligence
Machine Learning
Data Science
optimization
Computational Theory and Mathematics
And 19 more
About
Dedicated computational and data scientist with 30+ years driving physics-data solutions in the energy industry and academia. Ample expertise in scientific machine learning, simulation, optimization and HPC. Committed to innovation, collaboration, and delivery of physics-based models using AI to solve complex real life problems.
Most Relevant Publications (6+)

81 total publications

On optimization algorithms for the reservoir oil well placement problem

Computational Geosciences / Aug 17, 2006

Bangerth, W., Klie, H., Wheeler, M. F., Stoffa, P. L., & Sen, M. K. (2006). On optimization algorithms for the reservoir oil well placement problem. Computational Geosciences, 10(3), 303–319. https://doi.org/10.1007/s10596-006-9025-7

Stochastic collocation and mixed finite elements for flow in porous media

Computer Methods in Applied Mechanics and Engineering / Aug 01, 2008

Ganis, B., Klie, H., Wheeler, M. F., Wildey, T., Yotov, I., & Zhang, D. (2008). Stochastic collocation and mixed finite elements for flow in porous media. Computer Methods in Applied Mechanics and Engineering, 197(43–44), 3547–3559. https://doi.org/10.1016/j.cma.2008.03.025

Numerical Comparisons of Path-Following Strategies for a Primal-Dual Interior-Point Method for Nonlinear Programming

Journal of Optimization Theory and Applications / Aug 01, 2002

Argáez, M., Tapia, R., & Velázquez, L. (2002). Numerical Comparisons of Path-Following Strategies for a Primal-Dual Interior-Point Method for Nonlinear Programming. Journal of Optimization Theory and Applications, 114(2), 255–272. https://doi.org/10.1023/a:1016047200413

Reduced-order modeling for thermal recovery processes

Computational Geosciences / Sep 01, 2013

Rousset, M. A. H., Huang, C. K., Klie, H., & Durlofsky, L. J. (2013). Reduced-order modeling for thermal recovery processes. Computational Geosciences, 18(3–4), 401–415. https://doi.org/10.1007/s10596-013-9369-8

A Parallel Stochastic Framework for Reservoir Characterization and History Matching

Journal of Applied Mathematics / Jan 01, 2011

Thomas, S. G., Klie, H. M., Rodriguez, A. A., & Wheeler, M. F. (2011). A Parallel Stochastic Framework for Reservoir Characterization and History Matching. Journal of Applied Mathematics, 2011, 1–19. https://doi.org/10.1155/2011/535484

A family of physics-based preconditioners for solving elliptic equations on highly heterogeneous media

Applied Numerical Mathematics / Jun 01, 2009

Aksoylu, B., & Klie, H. (2009). A family of physics-based preconditioners for solving elliptic equations on highly heterogeneous media. Applied Numerical Mathematics, 59(6), 1159–1186. https://doi.org/10.1016/j.apnum.2008.06.002

Prof. Anantha Padmanabhan Kuppuswamy, PhD, ScD (Cambridge)

Professor of Eminence, Materials Science and Engineering Program, Dept. of Mechanical Engineering, Anna University, India; formerly President & Provost (Director), Indian Institute of Technology, Kanpur, India
Most Relevant Research Interests
Applied Mathematics
Other Research Interests (39)
Materials Science and Engineering
Metallurgy
Materials Processing
Mechanical Behavior of Materials
General Chemical Engineering
And 34 more
About
Prof. Anantha Padmanabhan Kuppuswamy is a renowned scientist and academician with extensive experience in the field of materials science and metallurgy. He completed his B Sc in Metallurgical Engineering from Banaras Hindu University in 1968 and went on to obtain his PhD from the University of Cambridge in 1972. Prof. Kuppuswamy has held various prestigious positions in his career, including being a Professor of Eminence at Anna University in Chennai, a Distinguished Professor at the University of Hyderabad, and the Director of IIT Kanpur. He has also served as a Professor at IIT Madras. His research interests include materials characterization, mechanical behavior of materials, and nanomaterials. He has published numerous papers in international journals and has received several awards and honors for his contributions to the field of materials science. Apart from his academic achievements, Prof. Kuppuswamy is also known for his dedication to teaching and mentoring students. He has guided several PhD students and postdoctoral fellows, many of whom have gone on to have successful careers in academia and industry. In recognition of his contributions to the field, Prof. Kuppuswamy has been elected as a Fellow of the Indian National Science Academy, the Indian Academy of Sciences, and the Indian National Academy of Engineering. He has also received the prestigious Lifetime Contribution Award in Engineering 2020 from the Indian National Academy of Engineering. https://en.wikipedia.org/wiki/K.A.\_Padmanabhan https://scholar.google.co.in/citations?user=CNpGoFsAAAAJ&hl=en
Most Relevant Publications (1+)

100 total publications

On the prediction of the forming-limit diagram of sheet metals

International Journal of Mechanical Sciences / May 01, 1992

Date, P. P., & Padmanabhan, K. A. (1992). On the prediction of the forming-limit diagram of sheet metals. International Journal of Mechanical Sciences, 34(5), 363–374. https://doi.org/10.1016/0020-7403(92)90024-b

Krzysztof Wolk

Professor
Most Relevant Research Interests
General Mathematics
Applied Mathematics
Other Research Interests (37)
Machine Learning
AI
NLP
Multimedia
Control and Systems Engineering
And 32 more
About
I hold a PhD Eng. degree in computer science. I am a graduate of the Polish-Japanese Academy of Information Technology in Warsaw, POLAND. Currently, I am associate professor at the Cathedral of Multimedia at the same university. I lead and conduct scientific projects and research related to natural language processing and machine learning based on statistical methods and neural networks. I eagerly take up IT challenges and engage in interesting interdisciplinary projects, in particular related to HCI, UX, medicine, and psychology. In addition, as my profession, I have worked as a lecturer at the Warsaw School of Photography, and as an IT trainer. My specialties as a teacher are primarily deep learning, machine learning, natural language processing, computational linguistics, multimedia, HCI, UX, mobile applications, HTML 5, Adobe applications, and server products from Apple and Microsoft. As far as my didactic work is concerned, I lead classroom studies at the faculty of computer science and at the new media art department of the Polish-Japanese Academy of Information Technology and, in the past, I have also directed classes and lectures at the Warsaw School of Photography & Graphic Design. I am also an expert at the Polish National Agency for Academic Exchange, a member of the Polish Information Processing Society, and a member of the Polish Telemedicine and eHealth Society with Bene Meritus honor. Finally, I am a certified Microsoft, Apple, Adobe, w3schools, and EITCA specialist as well as being the Author of many scientific monographs and specialized IT books related to machine learning, administration of servers, and multimedia. I also engage as an editor of various specialized IT web portals such as in4.pl, pclab.pl, and e-biotechnologia.pl where I am author of training materials, guides, and hardware reviews. Some of my articles have also been published in iCoder Magazine and Komputer Świat magazine.
Most Relevant Publications (2+)

78 total publications

Automatic transcription of the Polish newsreel

Poznan Studies in Contemporary Linguistics / Jun 26, 2019

Koržinek, D., Wołk, K., Brocki, Ł., & Marasek, K. (2019). Automatic transcription of the Polish newsreel. Poznan Studies in Contemporary Linguistics, 55(2), 183–209. https://doi.org/10.1515/psicl-2019-0008

A Cross-Lingual Mobile Medical Communication System Prototype for Foreigners and Subjects with Speech, Hearing, and Mental Disabilities Based on Pictograms

Computational and Mathematical Methods in Medicine / Jan 01, 2017

Wołk, K., Wołk, A., & Glinkowski, W. (2017). A Cross-Lingual Mobile Medical Communication System Prototype for Foreigners and Subjects with Speech, Hearing, and Mental Disabilities Based on Pictograms. Computational and Mathematical Methods in Medicine, 2017, 1–9. https://doi.org/10.1155/2017/4306416

Dr. Fantai Kong, Ph.D.

Dallas, Texas, United States of America
Hunt Energy
Most Relevant Research Interests
Computational Mathematics
Other Research Interests (30)
Energy Storage
Renewable Energy, Sustainability and the Environment
General Materials Science
General Energy
Electronic, Optical and Magnetic Materials
And 25 more
About
With over 10 years of research and development experience in the field of energy storage and conversion technologies, I have gained extensive expertise in diverse areas such as Li-ion batteries, Zn-ion batteries, Na-ion batteries, Li extraction, fuel cells, and topological insulators. Throughout my career, I have actively collaborated with partners from industrial, national labs, and universities to overcome technology challenges and develop innovative solutions that have resulted in a prolific publication record, including more than 30 peer-reviewed articles, and 10 awarded/pending patents.
Most Relevant Publications (4+)

31 total publications

CT-MEAM interatomic potential of the Li-Ni-O ternary system for Li-ion battery cathode materials

Computational Materials Science / Feb 01, 2017

Kong, F., Longo, R. C., Liang, C., Yeon, D.-H., Zheng, Y., Park, J.-H., Doo, S.-G., & Cho, K. (2017). CT-MEAM interatomic potential of the Li-Ni-O ternary system for Li-ion battery cathode materials. Computational Materials Science, 127, 128–135. https://doi.org/10.1016/j.commatsci.2016.10.030

Charge-transfer modified embedded-atom method for manganese oxides: Nanostructuring effects on MnO2 nanorods

Computational Materials Science / Aug 01, 2016

Kong, F., Longo, R. C., Zhang, H., Liang, C., Zheng, Y., & Cho, K. (2016). Charge-transfer modified embedded-atom method for manganese oxides: Nanostructuring effects on MnO2 nanorods. Computational Materials Science, 121, 191–203. https://doi.org/10.1016/j.commatsci.2016.04.029

A large-scale simulation method on complex ternary Li–Mn–O compounds for Li-ion battery cathode materials

Computational Materials Science / Feb 01, 2016

Kong, F., Zhang, H., Longo, R. C., Lee, B., Yeon, D.-H., Yoon, J., Park, J.-H., Doo, S.-G., & Cho, K. (2016). A large-scale simulation method on complex ternary Li–Mn–O compounds for Li-ion battery cathode materials. Computational Materials Science, 112, 193–204. https://doi.org/10.1016/j.commatsci.2015.10.027

Influence of interstitial beryllium on properties of ZnO: A first-principle research

Computational Materials Science / Aug 01, 2012

Kong, F. T., & Gong, H. R. (2012). Influence of interstitial beryllium on properties of ZnO: A first-principle research. Computational Materials Science, 61, 127–133. https://doi.org/10.1016/j.commatsci.2012.04.008

Mohammad Vahab

Lecturer at University of New South Wales (UNSW)
Most Relevant Research Interests
Computational Mechanics
Applied Mathematics
Computational Mechanics
Applied Mathematics
Computational Mathematics
Other Research Interests (30)
Scientific Machine Learning
Computational Geomechanics
Fracture
Hydraulic Fracturing
Modeling and Simulation
And 25 more
About
I am an experienced researcher and chartered engineer in numerical simulation of geotechnal and structural engineering applications.
Most Relevant Publications (12+)

35 total publications

A mesh-independent finite element formulation for modeling crack growth in saturated porous media based on an enriched-FEM technique

International Journal of Fracture / Jun 06, 2014

Khoei, A. R., Vahab, M., Haghighat, E., & Moallemi, S. (2014). A mesh-independent finite element formulation for modeling crack growth in saturated porous media based on an enriched-FEM technique. International Journal of Fracture, 188(1), 79–108. https://doi.org/10.1007/s10704-014-9948-2

An enriched–FEM technique for numerical simulation of interacting discontinuities in naturally fractured porous media

Computer Methods in Applied Mechanics and Engineering / Apr 01, 2018

Khoei, A. R., Vahab, M., & Hirmand, M. (2018). An enriched–FEM technique for numerical simulation of interacting discontinuities in naturally fractured porous media. Computer Methods in Applied Mechanics and Engineering, 331, 197–231. https://doi.org/10.1016/j.cma.2017.11.016

An enriched FEM technique for modeling hydraulically driven cohesive fracture propagation in impermeable media with frictional natural faults: Numerical and experimental investigations

International Journal for Numerical Methods in Engineering / Jun 01, 2015

Khoei, A. R., Hirmand, M., Vahab, M., & Bazargan, M. (2015). An enriched FEM technique for modeling hydraulically driven cohesive fracture propagation in impermeable media with frictional natural faults: Numerical and experimental investigations. International Journal for Numerical Methods in Engineering, 104(6), 439–468. Portico. https://doi.org/10.1002/nme.4944

Modeling the interaction between fluid-driven fracture and natural fault using an enriched-FEM technique

International Journal of Fracture / Nov 14, 2015

Khoei, A. R., Vahab, M., & Hirmand, M. (2015). Modeling the interaction between fluid-driven fracture and natural fault using an enriched-FEM technique. International Journal of Fracture, 197(1), 1–24. https://doi.org/10.1007/s10704-015-0051-0

An augmented Lagrangian contact formulation for frictional discontinuities with the extended finite element method

Finite Elements in Analysis and Design / Dec 01, 2015

Hirmand, M., Vahab, M., & Khoei, A. R. (2015). An augmented Lagrangian contact formulation for frictional discontinuities with the extended finite element method. Finite Elements in Analysis and Design, 107, 28–43. https://doi.org/10.1016/j.finel.2015.08.003

An eXtended Finite Element Method implementation in COMSOL Multiphysics: Solid Mechanics

Finite Elements in Analysis and Design / May 01, 2022

Jafari, A., Broumand, P., Vahab, M., & Khalili, N. (2022). An eXtended Finite Element Method implementation in COMSOL Multiphysics: Solid Mechanics. Finite Elements in Analysis and Design, 202, 103707. https://doi.org/10.1016/j.finel.2021.103707

A numerical contact algorithm in saturated porous media with the extended finite element method

Computational Mechanics / May 29, 2014

Khoei, A. R., & Vahab, M. (2014). A numerical contact algorithm in saturated porous media with the extended finite element method. Computational Mechanics, 54(5), 1089–1110. https://doi.org/10.1007/s00466-014-1041-1