جست‌وجوی استاد و پژوهشگر

Feruza Amirkulovaمشاهده پروفایل

استادیار

• Mechanical Engineering
• Acoustics
• Machine Learning
• +۴ مورد دیگر

Dr. Feruza Amirkulova is an Assistant Professor of Mechanical Engineering at San Jose State University, where she has served since 2018. She focuses on integrating hands-on learning and advanced simulations into courses like ME149: Engineering Acoustics and ME231: Machine Learning and Optimization in Mechanical Engineering through tools such as BK Connect and COMSOL MultiPhysics. B.Sc. and M.Sc. in Mathematics (with honors), Samarkand State University Ph.D. in Civil Engineering, Samarkand State University Ph.D. and M.Sc. in Mechanical and Aerospace Engineering, Rutgers University Her research spans acoustics, computational modeling, and optimization, emphasizing industrial applications. She collaborates with Silicon Valley companies like Jabil, Apple, NASA, Toyota, and Airbus, and contributes to interdisciplinary initiatives with SJSU’s College of Engineering and Audiology department. Dr. Amirkulova has chaired special sessions at the Acoustical Society of America and served on NSF grant review panels. Guidry Family Faculty Teaching Fellow

Ha Buiمشاهده پروفایل

استاد

• Computational Mechanics
• Constitutive Modelling
• Geomechanics
• +۳ مورد دیگر

Professor Ha Bui is the Head of the Department of Civil and Environmental Engineering at Monash University and an ARC Future Fellow. He holds a PhD in Computational Geomechanics from Ritsumeikan University, Japan, and has been with Monash since 2012. His research focuses on computational mechanics, material modeling, and geomechanics, with a particular emphasis on failure mechanisms of geomaterials and developing predictive tools for geo-disasters. He leads the development of GeoXPM, a particle-based computational software for geotechnical applications. Bui has received numerous awards, including the ALERT Research Medal (2021) and the ARC Future Fellowship (2020). He serves as Editor of Computers & Geotechnics and Associate Editor of multiple journals, contributing significantly to the field through editorial and review work. His research spans numerical methods like SPH and DEM, addressing challenges in geohazard prediction, material behavior under extreme conditions, and infrastructure resilience.

Kartik Josyulaمشاهده پروفایل

مدرس

• Computational Mechanics
• Multiphysics Modeling
• Atomistic Simulations
• +۴ مورد دیگر

Kartik Josyula is a Lecturer in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). He holds a Ph.D. (2018) in Mechanical Engineering from RPI and a B.Tech./M.Tech. (2009) in Mechanical Engineering from IIT Madras, India. His research focuses on computational mechanics, multiphysics modeling, atomistic simulations, and machine learning applied to biological tissues and advanced materials. He is particularly interested in developing experimental protocols for studying thermally damaged skin and phase transformations in energetic materials like RDX. His work bridges computational methodologies with real-world biomedical and materials science applications. Education: Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (2018) B.Tech./M.Tech. in Mechanical Engineering, IIT Madras, India (2009) Research interests span biomechanics of biological tissues, materials science of explosives (e.g., RDX phase transformations), and the integration of machine learning with atomistic simulations. His recent work highlights the limitations of synthetic tissues in burn care simulators and challenges in using porcine skin as a human skin surrogate. Publications (selected): His articles emphasize computational studies of phase transitions in energetic materials and biomechanical analysis of thermal injury effects. Themes include material behavior under extreme conditions, predictive modeling, and translational research for clinical applications. Awards: No awards listed in provided text. Advising/Grants: No formal advisees or grant details provided. His research likely involves collaborative projects in computational mechanics and materials science. Labs/Teams: Active in RPI’s computational mechanics research groups, with potential affiliations to biomedical engineering and materials science initiatives.

Bryony DuPontمشاهده پروفایل

دانشیار

• Design Automation
• Renewable Energy Systems
• Sustainable Design
• +۳ مورد دیگر

Bryony DuPont is Associate Professor of Mechanical Engineering at Oregon State University's College of Engineering. Her research develops computational methods for sustainable energy systems design, with joint appointment at the National Renewable Energy Laboratory. Research domains include: Computational design optimization for renewable energy Offshore wind farm configuration Wave energy converter development Environmental impact assessment Sustainable product design methodologies Recent publications focus on wave parameter characterization, community-centered energy transitions, and coupled simulation of floating wind platforms. Article analyses demonstrate strong emphasis on techno-economic modeling and stakeholder engagement frameworks. Professor DuPont teaches engineering design, wind energy systems, and sustainable manufacturing. She leads the Design Engineering Laboratory and manages projects funded by the Department of Energy and National Science Foundation. Her 2019 mentoring award recognizes exceptional graduate student supervision.

Myoungkyu Leeمشاهده پروفایل

استادیار

• High-Performance Computing
• Turbulent Flows
• Multiphysics Simulations
• +۳ مورد دیگر

Dr. Myoungkyu Lee is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Houston (2023–current). Previously, he served as an Assistant Professor at the University of Alabama (2022–2023) and held postdoctoral positions at Sandia National Laboratories (2018–2021) and the Oden Institute of Computational Science and Engineering (2016–2018). His research focuses on high-performance computing, thermal/chemical nonequilibrium flows, and direct numerical simulations of multiphysics turbulent flows. He earned his Ph.D. in Mechanical Engineering from the University of Texas at Austin (2015) and B.S. from Hanyang University (2008). Dr. Lee’s research integrates computational fluid dynamics, turbulence modeling, and high-performance computing to study wall-bounded flows, magnetohydrodynamic effects, and nonequilibrium phenomena. His work emphasizes spectral analysis, data-driven modeling, and advanced numerical methods for resolving complex fluid behaviors. Notable contributions include studies on Reynolds stress scaling, wall-pressure correlations, and stochastic forcing in turbulent flows. His awards include the Early Career Presenter Fellowship (2021) and a Best Student Paper Finalist at SuperComputing SC13 (2013). He has published extensively in journals like Journal of Fluid Mechanics and Physical Review Fluids , with over 30 peer-reviewed articles. His teaching includes courses on fluid dynamics and computational methods. Dr. Lee’s academic trajectory reflects a strong dedication to advancing computational turbulence research and fostering interdisciplinary collaborations in engineering and applied mathematics.

Spencer Bryngelsonمشاهده پروفایل

استادیار

• Computational Physics
• Fluid Dynamics
• High Performance Computing
• +۳ مورد دیگر

Spencer Bryngelson is an Assistant Professor in the School of Computational Science and Engineering at Georgia Institute of Technology's College of Computing. He specializes in computational physics, numerical methods, fluid dynamics, and high-performance computing. His research focuses on developing scalable simulation tools for multiphase flows, quantum algorithms for fluid dynamics, and Bayesian optimization techniques. Education: Ph.D. and M.S. in Theoretical and Applied Mechanics from University of Illinois at Urbana-Champaign (2015–2017); B.S. in Mechanical Engineering and Mathematics from University of Michigan–Dearborn (2013) Affiliations: Previously senior postdoc at Caltech, visiting researcher at MIT, and postdoc at XPACC Labs/Teams: Leads the Comp-Physics Group (https://comp-physics.group) His research interests include quantum computing applications to fluid mechanics, high-performance computing methodologies, and multiphysics simulation frameworks like the MFC flow solver. Recent work explores hybrid quantum-classical algorithms for PDEs and GPU-accelerated combustion kinetics modeling through tools like Pyrometheus. Notable trends in his articles include: Quantum computing integration in fluid dynamics simulations Development of exascale-ready multiphysics solvers Bayesian optimization for material characterization Advances in WENO schemes and turbulence modeling His work emphasizes portability and scalability in HPC environments, with contributions to libraries like QBMMlib and RoseNNa for neural network integration in CFD.

Susan Hagnessمشاهده پروفایل

استاد

• Bioelectromagnetics
• Computational Electromagnetics
• Microwave Diagnostics
• +۴ مورد دیگر

Susan Hagness is the Maria Stuchly Professor of Electrical Engineering at the University of Wisconsin-Madison, affiliated with the College of Engineering's Departments of Electrical & Computer Engineering and Biomedical Engineering. Her research focuses on computational and experimental applied electromagnetics, with emphasis on bioelectromagnetics for medical and agricultural applications. Key areas include microwave diagnostic/therapeutic techniques, dielectric spectroscopy, FDTD theory, and smart-ag sensing technologies. Her work is funded by NIH, NSF, DARPA, and industry partners. Awards include AIMBE and NAI Fellowships, the IEEE Antennas and Propagation Society Distinguished Lecturer title, and the PECASE Presidential Early Career Award. She leads multi-disciplinary teams in Engineering Hall (3415/3559 EH) and collaborates with clinical partners at UW Hospital and agricultural field sites. Recent innovations include TEM cell designs for real-time tissue monitoring during microwave ablation and microwave sensing for cranberry yield estimation. Research Highlights: Microwave breast imaging, thermoacoustic signal analysis, minimally-invasive microwave ablation antennas Key Collaborations: UW Hospital, Wisconsin Cranberry Board, Air Force Office of Scientific Research Teaching: Advises graduate students in ECE 790/890/990 research courses Her lab's work bridges fundamental electromagnetics with translational applications addressing global health and agricultural challenges.

Prashant K. Jhaمشاهده پروفایل

استادیار

• Fracture Mechanics
• Mechanics of Solids and Granular Media
• Multiphysics and Multiscale Modeling
• +۵ مورد دیگر

Prashant K. Jha is an Assistant Professor in the Department of Mechanical Engineering at the South Dakota School of Mines and Technology. Previously, he served as a Mechanical Engineering Lecturer (equivalent to Assistant Professor) at the University of Portsmouth and held postdoctoral positions at Louisiana State University and the Oden Institute at UT Austin. PhD in Civil and Environmental Engineering (2016), Carnegie Mellon University ME in Mechanical Engineering (2012), Indian Institute of Science BE in Mechanical Engineering (2010), Govt. Engineering College Raipur His research focuses on computational mechanics of materials, combining peridynamics , machine learning , and nonlocal modeling to study: Fracture mechanics in soft and granular materials Multiphysics and multiscale simulations Neural operators for scientific computing Uncertainty quantification in material models Design of functional materials under extreme conditions Applications to biomedical imaging and tumor growth Recent publications emphasize neural operator surrogates with error correction, peridynamic modeling of granular media, and multi-fidelity simulations. His work has appeared in journals like CMAME , ARMA , and JCP . NSF ERI award (2025) for multi-fidelity modeling SDBOR CRG award (2025) for magnetic soft materials He advises students in computational mechanics and serves on editorial boards of Journal of Peridynamics and Nonlocal Modeling , JOSS , and Scientific Reports . The CEAD Lab develops methods for fracture analysis, smart material design, and nonlocal neural operator frameworks.

Zeinab El-Sayeghمشاهده پروفایل

استادیار

• Vehicle System Dynamics
• Autonomous Vehicles
• Ride Comfort
• +۵ مورد دیگر

Dr. Zeinab El-Sayegh is an Assistant Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. She is affiliated with the Faculty of Engineering and Applied Science and holds professional engineering licensure (PEng). Her research focuses on vehicle dynamics, autonomous systems, and off-road vehicle design, with a strong emphasis on tire mechanics and soil-terrain interactions. She has been recognized with the 2024 Engineering Research Award in the Early Career Category. Education: PhD (Mechanical Engineering), University of Ontario Institute of Technology (2020) MEng (Aerospace Engineering), Concordia University (2018) MEng (Mechanical Engineering), Concordia University (2015) BEng (Mechanical Engineering), Lebanese International University (2013) Research Interests: Vehicle System Dynamics: Studying vibration and control mechanisms in automotive systems. Autonomous Vehicles: Developing path planning and sensor integration for off-road and multi-wheeled platforms. Tire Mechanics: Analyzing tire-soil interaction using advanced computational tools like FEA and SPH. Soil Dynamics: Modeling terrain effects on vehicle stability and performance in diverse environmental conditions. Modeling & Simulation: Creating scalable models for electric combat vehicles and agricultural tires. Professional Activities & Awards: Co-organizer of the F1tenth Competition at the 2024 IEEE Smart Mobility Conference. Assistant Editor of the International Journal of Heavy Vehicle Systems since 2021. Member of ASME Vehicle Design Executive Committee since 2021. Recipient of the 2024 Engineering Research Award (Early Career). Teaching & Engagement: Dr. El-Sayegh teaches courses such as Automotive Vibrations, Machine Design, Autonomous Vehicles, and Vehicle Dynamics & Control. She actively contributes to interdisciplinary research and outreach through memberships in ASME, SAE, and CSME.

Blaise Bourdinمشاهده پروفایل

استاد

• Solid Mechanics
• Applied Mathematics
• Numerical Analysis
• +۴ مورد دیگر

Blaise Bourdin is a Professor of Mathematics and the Canada Research Chair in Mathematical and Computational Aspects of Solid Mechanics (Tier 1) at McMaster University's Department of Mathematics & Statistics. He holds a Doctorate from Université Paris 13 (1998) and has held academic positions at Louisiana State University (2002-2021) and postdoctoral roles at Technical University of Denmark, Caltech, and NYU. His research focuses on interdisciplinary modeling, numerical simulation, and analysis in solid mechanics, with emphasis on defect mechanics and optimal design. He pioneered the phase-field approach to brittle fracture, a widely influential method in fracture mechanics. His work has been supported by over $6M in grants from NSF, NSERC, and industry. Key research areas include solid mechanics, applied mathematics, numerical analysis, and theoretical mechanics. Recent publications (2018-2025) explore fracture toughness measurement, phase-field discretization, hydraulic fracturing, and topology optimization. Education: Doctorate in Mathematics, Université Paris 13 (1995-1998) Advanced Studies Diploma (DEA), Université Paris 13 (1994-1995) Master's and Undergraduate degrees, Université Paris 13 (1990-1993) Teaching includes advanced courses like Fourier Analysis, Optimal Design, and Engineering Mathematics. His software contributions include the open-source 'mef90/vDef' project. Awards include the prestigious Tier 1 Canada Research Chair (2022).

Martin O. Saarمشاهده پروفایل

استاد

• Geophysical Fluid Dynamics
• Geodynamics
• Subsurface Fluid Transport
• +۳ مورد دیگر

Prof. Martin O. Saar is a Full Professor at ETH Zürich's Department of Earth and Planetary Sciences, leading the Geothermal Energy and Geofluids research group, funded by the Werner Siemens Foundation. His work focuses on geophysical fluid dynamics, subsurface multiphase fluid processes, and geothermal energy innovation. Key research areas include CO2-Plume Geothermal (CPG) systems, numerical modeling of geodynamic processes, and CO2 storage integration. His research group develops advanced numerical codes like I2(EL)VIS and I3(EL)VIS for simulating tectonic and planetary processes, incorporating fluid-rock interactions, melt transport, and seismic dynamics. Recent projects address the techno-economic feasibility of CPG systems, plasma-pulse drilling (PPGD), and subsurface energy utilization. Notable contributions include advancing geothermal heat pump systems, optimizing CO2 storage-geothermal energy co-production, and assessing geothermal potential in regions like the Ethiopian Rift and Switzerland. His work bridges fundamental geoscience with applied energy solutions, emphasizing sustainability and climate mitigation. Current initiatives include the BedrettoLab underground research facility, exploring subsurface processes, and policy briefs for fossil-fuel independence in Switzerland. His research portfolio reflects a commitment to transformative geothermal and carbon management technologies.

Christian Franckمشاهده پروفایل

استاد

• High Voltage Engineering
• Electric Power Transmission Systems
• Gaseous Insulation Systems
• +۴ مورد دیگر

Christian Franck is a Full Professor at the Swiss Federal Institute of Technology (ETH) Zurich , leading the Power Systems and High Voltage Lab within the Department of Information Technology and Electrical Engineering. His career spans academic and industrial roles, including prior positions at ABB Research Center and Max-Planck-Institute for Plasma Physics. Education: Physics (Diploma, 1999) from University of Kiel, with studies at Bonn and Edinburgh PhD: Experimental Physics (2003) from Max-Planck-Institute Research focuses on technologies for future electric energy transmission systems , emphasizing high-voltage gaseous and solid insulation, current interruption, and SF6-free gas mixtures. His work combines experimental methods with multiphysics simulations to address classical high-voltage engineering challenges through novel approaches. 2025 publications highlight advancements in eco-friendly insulation gases , arc modeling for HVDC breakers, and AI-driven fault diagnostics. Key journals include Journal of Physics D: Applied Physics , Reliability Engineering & System Safety , and IEEE Transactions series. Teaching responsibilities include courses like High Voltage Engineering , Electric Power Transmission , and Ethics in Scientific Integrity . Lab activities involve experimental platforms for gas discharge studies, corona mitigation, and hybrid AC/DC transmission line analysis.

Jean-Marie Drezetمشاهده پروفایل

استاد آموزشی

• Materials Science
• Metallurgy
• Residual Stress Measurement
• +۶ مورد دیگر

Jean-Marie Drezet is a Teaching Professor at École Polytechnique Fédérale de Lausanne (EPFL), working within the School of Engineering's Institute of Materials (IMX). He holds multiple positions including Maître d'enseignement et de recherche at IMX-Gestion, SMX-Enseignement, and the Laboratory of Mechanical Metallurgy (LMM). His office is located at MXG 330 building on the EPFL campus in Lausanne, Switzerland. Drezet's research focuses on thermomechanical effects in cast metal parts, particularly aluminum alloys. His expertise includes residual stress measurements using neutron diffraction at facilities like PSI-Villigen and ILL-Grenoble, hot cracking phenomena during solidification processes, and the influence of precipitation on residual stresses during quenching of thick aluminum components. His work combines experimental characterization with advanced finite element modeling. Analysis of his recent publications reveals a consistent focus on residual stress measurement and prediction in aluminum alloys, particularly during casting, welding, and heat treatment processes. His research group extensively uses neutron diffraction for experimental validation and develops computational models to predict stress generation during manufacturing processes. The work spans from fundamental solidification phenomena to industrial applications in aluminum casting and welding. Drezet has been actively involved in supervising PhD students, with completed theses covering topics such as residual stresses in welded tubular joints, ventricle dilation in hydrocephalus, hot tearing simulation using granular models, and stress generation during quenching of aluminum forgings. He serves on several committees including the Master admission committee for the Materials section, the IMX library committee, and the editorial committee of Metallurgical Research and Technology journal.

• Mathematical Modelling
• Scientific Computing
• Multiscale Modelling
• +۷ مورد دیگر

Dr. Jonathan Whiteley is an Associate Professor and Deputy Director of Graduate Studies in the Department of Computer Science at the University of Oxford. He is also a Governing Body Fellow at Linacre College. His research focuses on mathematical modelling and scientific computing applied to multiscale, multiphysics problems in physiology and biology. He holds a BA, MA, and DPhil from the University of Oxford. His key research interests include computational biology, biomechanics, and health informatics. He has contributed to studies on cartilage mechanics, cardiac electrophysiology, and tissue engineering, employing advanced numerical methods and finite element analysis. His work integrates computational models with experimental data to address challenges in biomedical engineering and regenerative medicine. Selected publications highlight his expertise in multiphase modelling, model reduction techniques, and the application of mathematical frameworks to biological systems. Collaborations with researchers in medicine and engineering underscore his interdisciplinary approach. Dr. Whiteley has advised multiple graduate students, including Antonietta Ambuehl, Douglas Bruce, and others. His research has been supported by projects involving tissue engineering, computational fluid dynamics, and cardiac tissue simulations. He contributes to the academic community through teaching, supervisory roles, and software development for scientific computing. Labs/Teams: His work is affiliated with computational biology and biomedical engineering initiatives at the University of Oxford, focusing on translating mathematical models into practical biomedical solutions.

Laurence Brassartمشاهده پروفایل

دانشیار

• Micromechanics
• Multiscale Modeling
• Constitutive Modeling
• +۵ مورد دیگر

Professor Laurence Brassart is an Associate Professor and Tutorial Fellow at Christ Church College, University of Oxford, within the Department of Engineering Science. She graduated with a Dipl. Eng (2007) and PhD (2011) from Université catholique de Louvain, followed by postdoctoral roles at Harvard University (Fellow of the Belgian American Educational Foundation) and UCLouvain (Chargé de Recherche FNRS). From 2015 to 2019, she was a Senior Lecturer at Monash University. Her research focuses on micromechanics , multiscale modeling , and constitutive modeling of polymers, soft materials, and energy materials. Key areas include multiphysics couplings (diffusion, chemical reactions), computational mechanics , and homogenization theory . Her current projects emphasize the chemo-mechanics of biodegradable polymers , rubberlike materials , and energy storage materials . Recent publications highlight her work on force-biased chemical degradation in rubbery networks , micromechanical modeling of polymer chains , and mechanics of liquid crystal inclusions in soft matrices. These studies span materials science , biomedical engineering , and solid mechanics . Fellow of the Belgian American Educational Foundation (Harvard postdoc) Newton International Fellowship Royal Commission for the Exhibition of 1851 Research Fellowship Marie Curie Fellowship She advises a team of DPhil students, including Gordon Kumar , Lucas Mangas Araujo , and Jie Zhu , and collaborates with postdoctoral researchers like Zhouzhou Pan and Huanming Chen . The Brassart Group integrates continuum mechanics and thermodynamics to develop theoretical and computational frameworks, with emerging experimental capabilities.