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Work with thought leaders and academic experts in Computational Mechanics

Companies can greatly benefit from working with experts in Computational Mechanics. These researchers have a deep understanding of complex engineering problems and can provide innovative solutions. They can help companies optimize their designs, improve product performance, and reduce costs. Computational Mechanics experts can also assist in developing advanced simulation models and conducting virtual testing, saving time and resources. Additionally, their expertise can be applied to various industries such as aerospace, automotive, energy, and manufacturing. Collaborating with Computational Mechanics researchers can give companies a competitive edge and accelerate their technological advancements.

Researchers on NotedSource with backgrounds in Computational Mechanics include Hector Klie, Tim Osswald, Dr. Andrea Corti, Ph.D., Denys Dutykh, Konstantinos Tsavdaridis, Amir Shakouri, PhD, and Baidurya Bhattacharya.

Hector Klie

Houston, Texas, United States of America
CEO @ DeepCast.ai | AI-driven Industrial Solutions, Technical Innovation
Most Relevant Research Expertise
Computational Mechanics
Other Research Expertise (23)
Artificial Intelligence
Machine Learning
Data Science
optimization
Computational Theory and Mathematics
And 18 more
About
**Results-driven AI leader with 20+ years of success spearheading model development and optimization initiatives in the energy industry and academia. Proven track record in leveraging computational data science, scientific machine learning, and AI to drive breakthrough physics-data solutions and deliver tangible business value. Adept at translating complex scientific concepts into robust AI models. Skilled in numerical simulation, scientific machine learning, and bilingual communication to optimize project outcomes.**
Most Relevant Publications (1+)

81 total publications

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

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Tim Osswald

Polymers Professor - University of Wisconsin
Most Relevant Research Expertise
Computational Mechanics
Other Research Expertise (44)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 39 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 (2+)

117 total publications

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

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Dr. Andrea Corti, Ph.D.

New York, New York, United States of America
Ph.D. in Biomedical Engineering with a focus on cardiovascular biomechanics using numerical simulations, material analysis and micro-computed tomography imaging
Research Expertise (16)
Atherosclerosis
Vascular Biomechanics
Modeling and Simulation
Material Characterization
Image Analysis
And 11 more
About
Dr. Andrea Corti holds a PhD in Biomedical Engineering from The City College of New York. His research interests include tissue mechanics, cellular transport, and biomechanics. He received his BS and MS in biomedical engineering with a specialization in Prosthesis and Implant Design from the Politecnico di Milano and the University of Groningen, respectively. He has experience working in both industry and academia, and has been a teaching assistant for several courses in his department.

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Denys Dutykh

Professional Applied Mathematician, Modeller, and Advisor
Most Relevant Research Expertise
Computational Mechanics
Other Research Expertise (50)
Applied mathematics
fluid mechanics
scientific computing
numerical methods
Fluid Flow and Transfer Processes
And 45 more
About
Dr. Denys Dutykh initially comes from the broad field of Applied Mathematics. He did his Master's degree in numerical methods applied to the problems of Continuum Mechanics and a Ph.D. thesis at Ecole Normale Supérieure de Cachan (France) on the mathematical modeling of tsunami waves. After this, he was hired as a permanent research scientist at the Institute of Mathematics (INSMI) at the Centre National de la Recherche Scientifique (CNRS). His research activities have been conducted in the following years at the picturesque University Savoie Mont Blanc (USMB, France) in the field of mathematical methods applied to the modeling and simulation of nonlinear waves (mostly in Fluid Dynamics). The Habilitation thesis of Dr. Dutykh was defended there on the topic of the mathematical methods in the environment. Since then, his research interests have significantly broadened to include the Dimensionality Reduction methods in Machine Learning, modeling of PV panels, and even some more theoretical questions in the Number Theory.
Most Relevant Publications (5+)

186 total publications

Comparison between three-dimensional linear and nonlinear tsunami generation models

Theoretical and Computational Fluid Dynamics / Apr 13, 2007

Kervella, Y., Dutykh, D., & Dias, F. (2007). Comparison between three-dimensional linear and nonlinear tsunami generation models. Theoretical and Computational Fluid Dynamics, 21(4), 245–269. https://doi.org/10.1007/s00162-007-0047-0

Finite volume methods for unidirectional dispersive wave models

International Journal for Numerical Methods in Fluids / May 21, 2012

Dutykh, D., Katsaounis, Th., & Mitsotakis, D. (2012). Finite volume methods for unidirectional dispersive wave models. International Journal for Numerical Methods in Fluids, 71(6), 717–736. Portico. https://doi.org/10.1002/fld.3681

Solitary wave solutions and their interactions for fully nonlinear water waves with surface tension in the generalized Serre equations

Theoretical and Computational Fluid Dynamics / Apr 04, 2018

Dutykh, D., Hoefer, M., & Mitsotakis, D. (2018). Solitary wave solutions and their interactions for fully nonlinear water waves with surface tension in the generalized Serre equations. Theoretical and Computational Fluid Dynamics, 32(3), 371–397. https://doi.org/10.1007/s00162-018-0455-3

On the use of the finite fault solution for tsunami generation problems

Theoretical and Computational Fluid Dynamics / Mar 08, 2012

Dutykh, D., Mitsotakis, D., Gardeil, X., & Dias, F. (2012). On the use of the finite fault solution for tsunami generation problems. Theoretical and Computational Fluid Dynamics, 27(1–2), 177–199. https://doi.org/10.1007/s00162-011-0252-8

Influence of sedimentary layering on tsunami generation

Computer Methods in Applied Mechanics and Engineering / Apr 01, 2010

Dutykh, D., & Dias, F. (2010). Influence of sedimentary layering on tsunami generation. Computer Methods in Applied Mechanics and Engineering, 199(21–22), 1268–1275. https://doi.org/10.1016/j.cma.2009.07.011

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Konstantinos Tsavdaridis

London
Full Professor of Structural Engineering, Chartered Civil and Structural Engineer
Research Expertise (29)
Mechanics of Materials
Safety, Risk, Reliability and Quality
Building and Construction
Architecture
Civil and Structural Engineering
And 24 more
About
civil engineering, steel structures, composite structures, structural engineering, design optimisation, modular buildings, nonlinear analysis

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Amir Shakouri, PhD

Ottawa, Ontario, Canada
Scientific Consultant, Self-Employed
Most Relevant Research Expertise
computational mechanics
Other Research Expertise (7)
finite elements
vibration and acoustic
Biomaterials
Medical Devices
Mechanical Engineering
And 2 more
About
My interest in interdisciplinary approach to solving problems has led me to working on research projects in a range of engineering applications. By education and work experience, I am proficient in applying computational mechanics and multi-physics analysis for scientific research and R&D projects. <br> I am also driven by data science to create new ways of approaching difficult problems. I envision a future where the application of machine and deep learning leads to a more connected world where tasks are accomplished more efficiently and decisions are made more knowledgeably. The mega-project that I am currently working on as a Data Scientist is applying deep learning and time series analysis for pricing financial options.

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Baidurya Bhattacharya

Computational mechanics, probabilistic risk analysis, statistical inference, Monte Carlo simulations
Most Relevant Research Expertise
Computational Mechanics
Other Research Expertise (43)
computational materials science
probabilistic mechanics
Mechanical Engineering
Industrial and Manufacturing Engineering
Mechanics of Materials
And 38 more
About
Baidurya Bhattacharya is a highly accomplished and respected civil engineer with over 20 years of experience in the field. He was born in Kolkata, India and completed his B.Tech (hons.) in Civil Engineering from the prestigious Indian Institute of Technology Kharagpur in 1991. He then went on to pursue his PhD in Civil Engineering from Johns Hopkins University, which he completed in 1997. After completing his PhD, Bhattacharya started his academic career as a Visiting Professor at the University of Delaware. He then moved on to become an Assistant Professor at the same university, where he taught for several years and mentored numerous students. In 2005, he returned to his alma mater, Indian Institute of Technology Kharagpur, as a Professor in the Department of Civil Engineering. He has been a valuable member of the faculty and has made significant contributions to the department through his research and teaching. Bhattacharya's research interests lie in the areas of structural engineering, earthquake engineering, and soil dynamics. He has published numerous papers in reputable journals and has also presented his work at various international conferences. His research has been recognized and funded by prestigious organizations such as the National Science Foundation and the American Society of Civil Engineers. Aside from his academic career, Bhattacharya is also actively involved in consulting and has worked on various projects in collaboration with government agencies and private firms. He is known for his expertise and has received several awards and honors for his contributions to the field of civil engineering. Bhattacharya is a dedicated educator and mentor, and he continues to inspire and guide young engineers through his teaching and research. His passion for the field and his dedication to his students make him a highly respected figure in the academic community.
Most Relevant Publications (1+)

91 total publications

Progressive damage identification using dual extended Kalman filter

Acta Mechanica / Apr 08, 2016

Sen, S., & Bhattacharya, B. (2016). Progressive damage identification using dual extended Kalman filter. Acta Mechanica, 227(8), 2099–2109. https://doi.org/10.1007/s00707-016-1590-9

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Example Computational Mechanics projects

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

Optimizing Aircraft Wing Design

By collaborating with a Computational Mechanics expert, an aerospace company can optimize the design of aircraft wings. The researcher can use advanced simulation techniques to analyze different wing configurations and identify the most efficient and aerodynamic design. This can lead to improved fuel efficiency, reduced emissions, and enhanced overall performance of the aircraft.

Enhancing Automotive Crash Safety

Working with a Computational Mechanics researcher, an automotive company can enhance the crash safety of their vehicles. The expert can develop sophisticated simulation models to simulate various crash scenarios and evaluate the structural integrity of the vehicle. This can help identify potential weaknesses and design improvements to ensure maximum safety for occupants.

Optimizing Energy Storage Systems

A company in the energy sector can benefit from collaborating with a Computational Mechanics expert to optimize energy storage systems. The researcher can analyze different materials and configurations to improve the efficiency and performance of batteries or other energy storage devices. This can lead to longer battery life, faster charging times, and increased overall energy storage capacity.

Improving Manufacturing Processes

By working with a Computational Mechanics researcher, a manufacturing company can improve their production processes. The expert can use simulation and optimization techniques to analyze the manufacturing workflow, identify bottlenecks, and optimize resource allocation. This can result in increased productivity, reduced costs, and improved product quality.

Designing Efficient Wind Turbines

Collaborating with a Computational Mechanics expert, a renewable energy company can design more efficient wind turbines. The researcher can analyze the aerodynamics of different turbine designs and optimize their performance. This can lead to increased energy generation, improved turbine reliability, and reduced maintenance costs.