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Work with thought leaders and academic experts in mathematical physics

Companies can greatly benefit from working with experts in the field of Mathematical Physics. These researchers possess a unique skill set that can be applied to various industries. They excel in data analysis, optimization, and problem-solving. By collaborating with a Mathematical Physics expert, companies can enhance their research capabilities, gain insights into complex systems, and improve decision-making processes. Whether it's developing advanced algorithms, optimizing supply chains, or analyzing large datasets, a Mathematical Physics expert can provide valuable expertise and innovative solutions.

Researchers on NotedSource with backgrounds in mathematical physics include Michael Sebek, Vladislav Zakharov, PhD, Dr. Gerald Cleaver, Ph.D. Physics, Dario Javier Zamora, Dmitry Batenkov, Ph.D., Ratshilumela Steve Dima, Ehsan Barati, PhD, and Ulascan Sarica.

Michael Sebek

Boston, Massachusetts, United States of America
Northeastern University
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (6)
network science
food science
electrochemistry
nonlinear dynamics
Applied Mathematics
And 1 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 (4+)

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

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

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Vladislav Zakharov, PhD

Stony Brook, New York, United States of America
Stony Brook University
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (6)
AMO & nuclear experiment
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Nuclear Energy and Engineering
Nuclear and High Energy Physics
And 1 more
About
Vladislav Zakharov has earned a PhD in physics from Stony Brook University after working for professor Thomas K. Hemmick to help design and build a new Time Projection Chamber (TPC) for the sPHENIX experiment at the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Lab (BNL). His dissertation focused on a technique to suppress Ion Back-Flow (IBF) in a TPC.
Most Relevant Publications (2+)

8 total publications

The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution

Journal of Instrumentation / Jun 01, 2023

Zakharov, V., Shulga, E., Garg, P., Hemmick, T., & Milov, A. (2023). The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution. Journal of Instrumentation, 18(06), C06024. https://doi.org/10.1088/1748-0221/18/06/c06024

The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution

Journal of Instrumentation / Jun 01, 2023

Zakharov, V., Shulga, E., Garg, P., Hemmick, T., & Milov, A. (2023). The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution. Journal of Instrumentation, 18(06), C06024. https://doi.org/10.1088/1748-0221/18/06/c06024

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Dr. Gerald Cleaver, Ph.D. Physics

Waco, Texas, United States of America
Professor of Physics, Baylor University
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (8)
String Theory
Cosmology
Quantum Gravity
Nuclear and High Energy Physics
Astronomy and Astrophysics
And 3 more
About
Dr. Gerald B. Cleaver is a highly skilled and experienced problem solver. He especially enjoys projects simultaneously requiring large- and small-scale analysis, wherein logic meets creativity, and abstract thinking is applied to real-world situations. Cleaver is a dedicated leader with over 22 years of management experience of research groups, and is an eloquent communicator with more than 24 years of teaching experience. He directs the Early Universe Cosmology and Strings (EUCOS) division of Baylor University's Center for Astrophysics, Space Physics, and Engineering Research (CASPER) and has advised the dissertation research of 20 M.S. & Ph.D. students (13 graduated, 8 current). During his 2013 to 2022 tenure as Physics Graduate Program Director, Cleaver coordinated the graduate programs of over 100 students and managed the \~ $700K teaching assistantship budgets. Working with faculty colleagues, he doubled the physics graduate student enrollment from 25 in 2013 to the present 52. Cleaver was written over 85 peer-reviewed research journal articles and 25 conference proceedings. He has spoken at more than 70 conferences and workshops. Cleaver is co-author of one physics textbook and has authored six book chapters and an encyclopedia entry.
Most Relevant Publications (2+)

91 total publications

Aspects of fractional superstrings

Communications in Mathematical Physics / Jan 01, 1995

Cleaver, G. B., & Rosenthal, P. J. (1995). Aspects of fractional superstrings. Communications in Mathematical Physics, 167(1), 155–182. https://doi.org/10.1007/bf02099356

Casimir energy and brane stability

Journal of Geometry and Physics / Mar 01, 2011

Obousy, R., & Cleaver, G. (2011). Casimir energy and brane stability. Journal of Geometry and Physics, 61(3), 577–588. https://doi.org/10.1016/j.geomphys.2010.11.006

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Dario Javier Zamora

Ph.D. in physics with expertise in Statistical Physics, Complex Systems, Machine Learning, Data Analysis, and Information Theory
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (15)
Statistical Mechanics
Information Theory
Complex Systems
Statistical and Nonlinear Physics
Statistics and Probability
And 10 more
About
Dr. Dario Javier Zamora is a highly educated and experienced physicist. He received his Ph.D. in Physics from the National University of La Plata in 2020. Throughout his academic career, he has focused on conducting research in various areas of physics, including quantum mechanics, astrophysics, and statistical physics. After completing his doctoral studies, Dr. Zamora continued his research as a postdoctoral researcher at the Brazilian Centre for Physics Research. He then moved on to become a researcher at the University of Insubria in Italy, where he studied the properties of bacteria mobility and stochastic processes through simulations. Dr. Zamora has also held research positions at the National University of Tucuman and the National Scientific and Technical Research Council in Argentina. During this time, he worked on projects related to the dynamics of complex systems and the behavior of solar wind. In addition to his research work, Dr. Zamora has also been actively involved in teaching and mentoring students. He has served as a lecturer at the National University of La Plata, where he taught courses on statistical mechanics and information theory. He also worked as an Undergraduated Teaching Assistant at the National University of Tucuman, where he helped students with their coursework and lab experiments. He continues to be actively involved in research and teaching, and his work has been published in numerous prestigious scientific journals.
Most Relevant Publications (1+)

17 total publications

Classical Partition Function for Non-Relativistic Gravity

Axioms / Jun 16, 2021

Hameeda, M., Plastino, A., Rocca, M. C., & Zamora, J. (2021). Classical Partition Function for Non-Relativistic Gravity. Axioms, 10(2), 121. https://doi.org/10.3390/axioms10020121

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Dmitry Batenkov, Ph.D.

New York City, New York, United States of America
A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science.
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (30)
Applied Harmonic Analysis
Sparse Representations
Numerical Analysis
Approximation Theory
Inverse Problems
And 25 more
About
I am passionate about solving big problems with scientific and computational tools. A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science. A highly-skilled software engineer and analyst/architect with 6+ years of experience as a technical lead in professional software development.
Most Relevant Publications (2+)

51 total publications

Moment inversion problem for piecewise D -finite functions

Inverse Problems / Sep 16, 2009

Batenkov, D. (2009). Moment inversion problem for piecewise D -finite functions. Inverse Problems, 25(10), 105001. https://doi.org/10.1088/0266-5611/25/10/105001

Stable soft extrapolation of entire functions

Inverse Problems / Dec 07, 2018

Batenkov, D., Demanet, L., & Mhaskar, H. N. (2018). Stable soft extrapolation of entire functions. Inverse Problems, 35(1), 015011. https://doi.org/10.1088/1361-6420/aaedde

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Ratshilumela Steve Dima

CSIR
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (19)
Multiscale modelling and simulations
Condensed Matter Physics
Atomic and Molecular Physics, and Optics
Electrochemistry
Electronic, Optical and Magnetic Materials
And 14 more
About
I am a highly accomplished senior researcher with a Master of Science (MSc) degree in physics and a proven track record in multiple interdisciplinary fields. My expertise spans across modeling and simulation, renewable energy, data science, DevOps, and project management. With over 7 years of experience, I have successfully contributed to numerous projects, publications, and innovations, making a significant impact in each domain. My diverse skill set, commitment to excellence, and leadership abilities make me a valuable asset to any organization seeking innovative solutions and research leadership.
Most Relevant Publications (1+)

14 total publications

Density functional theory study of Br doped CsPbI3 perovskite for photovoltaic and optoelectronic applications

Physica Scripta / Mar 13, 2023

Maleka, P. M., Dima, R. S., Ntwaeaborwa, O. M., & Maphanga, R. R. (2023). Density functional theory study of Br doped CsPbI3 perovskite for photovoltaic and optoelectronic applications. Physica Scripta, 98(4), 045505. https://doi.org/10.1088/1402-4896/acbf88

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Ehsan Barati, PhD

Theoretical/computational Physicist/chemist/material scientist
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (8)
Condensed Matter Physics
Computational Material Science
Quantum Computing
Computational Chemistry
Electronic, Optical and Magnetic Materials
And 3 more
About
Empowering innovation through 10+ years of dedicated expertise in Computational Research Science, I specialize in leveraging statistical techniques, mathematical modeling, and high-performance computing (HPC) to solve complex challenges across diverse domains. My expertise spans critical areas such as Theoretical/Computational Quantum Condensed Matter Physics, Computational Chemistry, Computational Material Science, Quantum Computing, and Data Analysis. With a proven track record in deploying advanced methodologies, including quantum teleportation (qubit transfer in spin networks), Quantum Monte Carlo Simulations, First-principles (ab-initio) calculations, and cutting-edge algorithms, I bring a robust foundation in both classical and quantum realms. I thrive on translating complex data into actionable insights, utilizing a spectrum of Machine Learning techniques—from supervised to unsupervised and reinforcement learning, encompassing Regression, Classification, Neural Networks, TensorFlow, and Recommender Systems.
Most Relevant Publications (1+)

9 total publications

Optimal transfer of ad-level quantum state over pseudo-distance-regular networks

Journal of Physics A: Mathematical and Theoretical / Oct 20, 2008

Jafarizadeh, M. A., Sufiani, R., Taghavi, S. F., & Barati, E. (2008). Optimal transfer of ad-level quantum state over pseudo-distance-regular networks. Journal of Physics A: Mathematical and Theoretical, 41(47), 475302. https://doi.org/10.1088/1751-8113/41/47/475302

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Ulascan Sarica

Postdoctoral researcher at University of California at Santa Barbara and Fermilab LPC Junior Distinguished Researcher
Most Relevant Research Interests
Mathematical Physics
Other Research Interests (3)
Experimental particle physics
Nuclear and High Energy Physics
Instrumentation
About
I am currently a postdoctoral researcher at the UC Santa Barbara Department of Physics and a Fermilab LHC Physics Center Junior Distinguished Researcher. <br> Since 2013, I have been conducting cutting-edge research in the CMS experiment at CERN, utilizing one of the largest and most complex particle detectors in the world. As part of this international collaboration, I have contributed to the measurements of Higgs boson properties, searches for new physics, the development of simulation and analysis software, the alignment of the CMS tracker, and the design of the MIP Timing Detector. In addition to having co-authored multiple publications in prestigious particle physics journals, I am also one of the lead-developers of the JHUGen Monte Carlo event generator and matrix element library package, used widely in Higgs boson properties analyses at the LHC. Please kindly see https://spin.pha.jhu.edu if you are interested to learn more about its capabilities. I also have interesting ideas for particle detector instrumentation to solve challenges in quantum error correction used in quantum computing. You may find a discussion of these ideas in my recent paper on the Journal of Instrumentation (postprint: https://arxiv.org/abs/2310.00577). I am also working with colleagues at Fermilab to reduce neural network complexity in error decoding applications. I have a strong background in physics, mathematics, statistics, and advanced computer programming. I have a PhD in Physics from The Johns Hopkins University, and two BS degrees in Physics and in Molecular Genetics from the University of Rochester. I also have extensive experience in particle detector design, deep learning, and heterogeneous computing, including distributed computing and GPU acceleration. I am passionate about advancing our understanding of the fundamental nature of the universe and applying my skills to solve challenging and meaningful problems.
Most Relevant Publications (2+)

93 total publications

The role of the false events on the DQE measurement of the radiation detectors

Journal of Instrumentation / Jan 28, 2013

Zanella, G. (2013). The role of the false events on the DQE measurement of the radiation detectors. Journal of Instrumentation, 8(01), P01020–P01020. https://doi.org/10.1088/1748-0221/8/01/p01020

Calculation of the low-energy gamma ray detection efficiency for a GM tube

Journal of Instrumentation / Jun 05, 2017

Ashrafi, S., & Ahmadi, S. (2017). Calculation of the low-energy gamma ray detection efficiency for a GM tube. Journal of Instrumentation, 12(06), P06005–P06005. https://doi.org/10.1088/1748-0221/12/06/p06005

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Example mathematical physics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on mathematical physics?

Algorithm Development for Financial Modeling

A Mathematical Physics expert can develop advanced algorithms for financial modeling, enabling companies to make accurate predictions and optimize investment strategies.

Optimization of Supply Chain Networks

By applying mathematical optimization techniques, a Mathematical Physics expert can help companies streamline their supply chain networks, reducing costs and improving efficiency.

Data Analysis for Drug Discovery

Mathematical Physics experts can analyze large datasets in the field of drug discovery, identifying patterns and optimizing drug design processes.

Simulation of Complex Systems

Using mathematical modeling and simulation, a Mathematical Physics expert can simulate and analyze complex systems, such as traffic flow or weather patterns, providing valuable insights for urban planning or risk assessment.

Optimization of Energy Systems

Mathematical Physics experts can optimize energy systems, such as power grids or renewable energy networks, maximizing efficiency and reducing environmental impact.