Find Academic Supervisors

• Heat Transfer
• Energy Storage
• Thermal Management
• +5 more

Ankur Jain is a Professor in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington, with a joint appointment in Bioengineering. His research focuses on heat transfer in Li-ion batteries, microscale thermal transport, bioheat transfer, and additive manufacturing. He holds leadership roles, including serving as Associate Editor for IEEE Transactions on Components, Packaging and Manufacturing Technologies and Secretary of the ASME Heat Transfer Division's K16 Committee. Education: Ph.D. (2007) and M.S. (2003) in Mechanical Engineering from Stanford University; B.Tech. (2001) in Mechanical Engineering from IIT Delhi with top honors. Research interests span energy conversion/storage, thermal management of electronics, and biomedical heat transfer applications. Notable achievements include the NSF CAREER Award (2016), ASME Fellow status (2022), and UTA President's Award for Excellence in Teaching (2022). His work has been supported by NSF, DOE, ONR, and Indo-US Science & Technology Forum. Advancing thermal runaway prevention in Li-ion batteries and improving additive manufacturing processes are key current focuses. Collaborations include industry partners like Underwriters Laboratories and Cuberg, Inc.

Jason D. BakosView profile

Professor

• Computer Architecture
• Reconfigurable Computing
• High-Performance Computing
• +4 more

Dr. Jason D. Bakos is a Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on high-performance domain-specific architectures, including reconfigurable computing, embedded systems, and machine learning acceleration. He has held academic positions since 2005, progressing from Assistant to Associate Professor before becoming a full Professor in 2017. Education : Ph.D., Computer Science, University of Pittsburgh (2005) B.S., Computer Science, Youngstown State University (1999) Research Interests : Dr. Bakos specializes in computer architecture at multiple levels (circuit, micro-architectural, and system) with a focus on VLSI design, reconfigurable computing, high-performance computing, and applications in embedded systems. His recent work includes FPGA acceleration of machine learning algorithms, structural health monitoring systems, and real-time signal processing. Awards : 2018 Teaching Award in Computer Science and Engineering 2009 NSF CAREER Award Multiple design competition awards for innovative chip and circuit designs Grants & Funding : He leads and co-leads projects funded by NSF, Savannah River National Laboratory, and industry partners like Texas Instruments. Recent grants focus on edge computing for real-time machine learning, FPGA-based accelerators, and corrosion analysis of nuclear materials. Labs & Teams : His research group collaborates on projects involving embedded systems, FPGA design, and interdisciplinary applications in structural engineering and bioinformatics. He advises a dynamic team of graduate students and post-doctoral researchers.

• Numerical Analysis
• Scientific Computing
• Computational Mathematics
• +9 more

Dr. Fengyan Li is a Professor in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute (RPI). She holds a PhD in Applied Mathematics from Brown University (2004) and previously held a postdoc at the University of South Carolina. Her research focuses on numerical analysis and scientific computing, particularly discontinuous Galerkin methods for applications in wave propagation, fluid dynamics, plasma physics, and nonlinear optics. She has received prestigious awards including the NSF-CAREER Award (2009) and Alfred P. Sloan Fellowship (2008). Dr. Li serves on editorial boards of journals like SIAM Journal of Numerical Analysis and IMA Journal of Numerical Analysis. Education: PhD in Applied Mathematics (Brown University, 2004); MS & BS in Computational Mathematics (Peking University, 2000 & 1997). Research interests emphasize multi-scale simulations, reduced-order modeling, and high-order methods. Her work addresses challenges in kinetic transport, nonlinear optics, and plasma dynamics. She has delivered plenary talks at major conferences, including ICOSAHOM (2018) and NAHOMCon (2022). Professional service includes leadership roles in the Association for Women in Mathematics (AWM), co-organizing symposiums, and mentoring. She is a 2025 AWM Fellow and advises RPI's AWM Student Chapter.

• Fluid Power (Hydraulics)
• Acoustic Sensing
• Dynamic Modelling
• +4 more

Travis Wiens is an Associate Professor in the Department of Mechanical Engineering at the University of Saskatchewan. His research focuses on fluid power systems, acoustic sensing, dynamic modeling, mining mechatronics, and artificial intelligence applications in engineering. He holds a B.Sc., M.Sc., and Ph.D. in Mechanical Engineering from the same institution, completed in 2002, 2004, and 2008 respectively. His research interests emphasize innovative solutions for hydraulic control systems, pipeline resonance reduction, and mining safety through acoustic technologies. He has developed low-cost electrohydrostatic actuators and explored additive manufacturing in valve design. Notable contributions include vibrational data communication tools for extractive industries and machine learning models for mine roof stability assessment. Dr. Wiens teaches ENGC 01A - Introduction to Fluid Power Components . His work bridges theoretical fluid dynamics with practical applications in energy efficiency, structural health monitoring, and biomimetic systems. Ongoing research trends include integrating AI with hydraulic systems and advancing non-destructive testing methods for infrastructure integrity. His publications highlight interdisciplinary approaches, combining mechanical engineering principles with computational modeling, neural networks, and mechatronics. Collaborative efforts focus on mining safety, oil and gas infrastructure, and sustainable hydraulic technologies.

Simon RowlandView profile

Professor

• Electrical Insulation Materials
• Polymeric Insulation Systems
• Asset Management for Power Systems
• +4 more

Simon Rowland is a Professor of Electrical Materials at the University of Manchester's Department of Electrical and Electronic Engineering, affiliated with the High Voltage Group. He previously served as Head of School (2015-2019) and transitioned from industrial R&D roles at STC, BICC, and Corning Cables to academia in 2003. His expertise centers on electrical insulation materials, polymeric systems, and asset management for power systems. He leads research in the UK’s largest HV laboratory, focusing on solid insulation interfaces and funded by National Grid and EPSRC. He holds 13 patents, primarily in overhead line technology, and is a Fellow of the IEEE and IET. Education: BSc, PhD, FHEA, FIET, FIEEE. Research interests include dielectric reliability, overhead line design, and low-current arcs. Collaborations span materials science and engineering disciplines. Recent awards include the 2025 IEEE Eric O. Forster Distinguished Service Award and 2022 Bhattacharyya Award Finalist. Professional roles include Treasurer of the IEEE Dielectrics and Electrical Insulation Society (2020–present).

Anastasios P. VassilopoulosView profile

Adjunct Professor

• Composite Materials
• Offshore Renewables
• Wind Turbine Technology
• +5 more

Anastasios P. Vassilopoulos is an Adjunct Professor and Head of the Composite Mechanics Group (GR-MEC) at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC). He holds additional roles as Director of the Doctoral Program in Civil and Environmental Engineering (EDCE) and is affiliated with multiple research groups and committees at EPFL. His expertise spans composite materials, structural adhesives, and offshore renewable energy systems. Education: PhD in Mechanical Engineering, University of Patras, Greece (2001) Dipl. Mechanical Engineer, University of Patras, Greece (1995) Erasmus Exchange, University of Bristol, UK (1994–1995) Research Interests: Offshore renewables, particularly wind turbine blade materials and joints Fatigue analysis of composite materials and adhesive joints Experimental and analytical methods for composite structures Design of composite constructions and structural integrity His work emphasizes practical applications in engineering, including wind energy systems and fiber-reinforced polymer (FRP) composites. Teaching & Labs: Teaches courses on structural mechanics, advanced composites, and floating offshore renewables Leads the GR-MEC lab, focusing on composite mechanics and joint behavior Supervised over 15 PhD students at EPFL Grants & Projects: Swiss National Science Foundation-funded projects on bonded composite structures and wind turbine blade materials Research on fire-resistant composite bridge decks and lightning effects on composite structures

• Physical Chemistry
• Material Modeling
• Ab-initio Molecular Dynamics
• +4 more

Enrico Bodo is a Full Professor of Physical Chemistry at the Department of Chemistry, Sapienza University of Rome. He holds a PhD in Chemical Sciences from Sapienza University (2002) and has held visiting positions at Harvard Smithsonian Center for Astrophysics and University of Paris Sud. His expertise spans material modeling, ab-initio molecular dynamics, ionic liquids, and computational spectroscopy. Education: BSc Chemistry, Sapienza University of Rome (1998) PhD in Chemical Sciences, Sapienza University of Rome (2002) Research Interests: Electrochemical systems and Li-ion batteries Protic ionic liquids and biocompatible solvents Computational studies of molecular dynamics and spectroscopy Grants & Leadership: Secured ~100 million EU computing hours for simulations Elected member of the Board of the Theoretical and Computational Chemistry Division of the Italian Chemical Society Advising: Supervised 10 PhD students, 4 postdocs, and 30 Master's students since 2014. Research groups focus on computational modeling of energy materials and electrolyte design. Labs/Teams: Leads research groups investigating molecular dynamics simulations and computational spectroscopy within the Department of Chemistry's advanced materials division.

Jeffery G. SavenView profile

Professor

• Theoretical Chemistry
• Biopolymers
• Macromolecules
• +7 more

Jeffery G. Saven is a Professor of Chemistry at the University of Pennsylvania's School of Arts & Sciences and co-Chair of the Biochemistry Undergraduate Major Program. He holds a BA from New College of Florida, a PhD from Columbia University and University of Wisconsin, and completed postdoctoral research at the University of Illinois, Urbana-Champaign (1993-1997). His research focuses on theoretical and computational chemistry, applying statistical mechanics to study biomolecules, polymers, and condensed phase systems. Key areas include computational protein design, biomolecular simulation, and understanding protein sequence-structure relationships. Collaborations involve experimental groups at Penn and other institutions, such as the DeGrado and Therien groups. Recent work includes designing proteins with nonbiological cofactors and exploring water-soluble membrane proteins. No specific awards or grants are listed, but his research emphasizes interdisciplinary projects combining theory and experiment. His lab actively develops computational tools for molecular system analysis and participates in biomolecular materials design.

Stefano MarkidisView profile

Professor

• High-Performance Computing
• Quantum Computing
• Computational Fluid Dynamics
• +5 more

Stefano Markidis is a Professor of Computer Science at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and the Digital Futures Faculty. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and an MS from Politecnico di Torino. His research focuses on high-performance computing systems, including supercomputers and quantum computers, with expertise in plasma simulations, quantum algorithms, and scalable computational frameworks. Markidis leads the development of the Neko framework for high-fidelity computational fluid dynamics and the iPIC3D particle-in-cell code for plasma physics. He teaches courses such as Quantum Computing for Computer Scientists, High-Performance Computing, and Applied GPU Programming. His work addresses exascale computing challenges, including optimizing algorithms for GPUs, quantum systems, and distributed architectures. Key research interests include: Parallel Programming Models and HPC Frameworks Quantum Computing Applications in Scientific Simulations Physics-Informed Machine Learning Exascale System Optimization Turbulence Modeling and Plasma Dynamics His publications span over 100 articles in journals like Journal of Computational Physics and Scientific Reports , focusing on topics such as scalable CFD, quantum neural networks, and plasma simulation techniques. He has advised numerous students in these areas. Markidis collaborates with institutions like Los Alamos National Laboratory and RISE Research Institutes of Sweden through the Digital Futures initiative, aiming to solve societal challenges via digital technologies.

Seung Soon JangView profile

Professor

• Nanotechnology
• Energy Materials
• Fuel Cell Technology
• +9 more

Dr. Seung Soon Jang is a Professor in the School of Materials Science and Engineering at Georgia Institute of Technology, joining in 2007. His research focuses on computational and theoretical approaches to design nanoscale systems, particularly in molecular electronics, fuel cells, and biotechnology. He holds fellowships from the American Chemical Society (ACS), American Physical Society (APS), American Society for Metals International (ASM Inter.), and Electrochemical Society (ECS). His research spans energy storage, environmental materials, and nanotechnology, with a strong emphasis on molecular simulations and DFT modeling. Education & Awards: Fellowships in ACS, APS, ASM Inter., and ECS. Research Interests: Biomolecular-solids, ceramics, nanomaterials, polymers, and energy/environmental applications. Dr. Jang advises three students and leads the CNBT Lab, exploring advanced materials for energy conversion and wearable technologies. His work integrates computational methods with experimental validation, addressing challenges in fuel cells, solar cells, and CO₂ reduction. Key achievements include developing durable electrocatalysts and novel membrane technologies.

Alexander HollbergView profile

Associate Professor

• Sustainable Design
• Optimization Processes
• Stakeholder Interaction
• +4 more

Alexander Hollberg is an Associate Professor in the Division of Building Technology at Chalmers University of Technology, within the School of Architecture and Civil Engineering. His academic role focuses on Computational Sustainable Design, emphasizing the development of digital tools for sustainable building and urban design. He holds a PhD in Parametric Life Cycle Assessment (2016) from Bauhaus University Weimar, an MSc in Architectural Engineering (2011), and a BSc in Civil Engineering (2008) from Technical University of Munich (TUM). His research interests include Sustainable Design Optimization, Stakeholder Interaction, Artificial Intelligence, and Life Cycle Assessment (LCA). He co-founded CAALA, a software and consulting startup in Munich, Germany, advancing tools for real-time environmental performance evaluation in early design stages. Recent work includes studies on digital twins for urban planning, robust renovation strategies, and AI-driven facade optimization. Hollberg was promoted to Docent (Associate Professor) in Computational Sustainable Design in 2022, focusing on bridging computational methods with sustainable environmental transitions. His collaborative projects address tool development for stakeholder engagement, BIM integration, and circular economy frameworks in construction. Key Projects: Development of Bombyx and Twinable tools for real-time LCA and urban simulation Leading the Nordic Build-LCA PhD forum and BIM-based LCSA applications Contributions to IEA EBC Annex 72 guidelines on life cycle environmental impacts Education Background: PhD in Parametric Life Cycle Assessment, Bauhaus University Weimar, 2016 MSc in Architectural Engineering, Bauhaus University Weimar, 2011 BSc in Civil Engineering, Technical University of Munich, 2008 His research outputs prioritize early design-stage decision support through parametric modeling and AI, with a focus on carbon neutrality and material circularity in construction.

Diane GuignardView profile

Assistant Professor

• Numerical Analysis
• Applied Mathematics
• Computational Mathematics
• +6 more

Diane Guignard is an Assistant Professor in the Department of Mathematics and Statistics at the University of Ottawa. Her research focuses on numerical analysis, partial differential equations, and computational methods with applications to mechanics and stochastic systems. She holds a position in a leading mathematics department and can be contacted at dguignar@uOttawa.ca . Her research interests include finite element methods, model reduction, uncertainty quantification, and optimal transport-based mesh adaptation. She explores nonlinear approximation theories for high-dimensional anisotropic functions and develops computational frameworks for thin structures and colloidal flow simulations. Her work bridges numerical analysis with practical engineering challenges, emphasizing adaptive algorithms and error estimation techniques. Her recent publications (2021-2024) highlight contributions to goal-oriented mesh adaptation, stochastic field approximations on surfaces, and large deformation analyses of prestrained plates. These studies emphasize interdisciplinary approaches combining mathematical rigor with computational innovation. Dr. Guignard has not been explicitly noted for awards in the provided materials. Her advising record is currently unspecified, though her research group likely engages in advanced numerical methods and computational mechanics projects.

Hung Yew MunView profile

Associate Professor

• Heat Transfer
• Fluid Dynamics
• Micro-scale Heat Transfer
• +4 more

Dr. Hung Yew Mun is an Associate Professor and Interim Head of the Mechanical Engineering program at Monash University Malaysia’s Malaysia School of Engineering. His expertise spans heat transfer, thermodynamics, and fluid dynamics, with a focus on micro-scale phenomena, phase-change heat transfer, and graphene-based materials. He teaches courses including MEC3454/MEC4408 (Thermodynamics and Heat Transfer) and MEC4416 (Momentum, Energy & Mass Transport). Dr. Hung’s research addresses advanced cooling solutions for electronics, energy storage, and sustainable materials. Education: PhD in Mechanical Engineering from University of Multimedia, Malaysia (2010). Research Interests: Micro-scale heat transfer, phase-change mechanisms, graphene nanostructures, and applications in thermal management. His work contributes to UN SDG goals related to affordable and clean energy (SDG7) and industry innovation (SDG9). Recent Projects: Includes studies on MXene-biochar composites for energy storage, graphene-enhanced devices for electronics cooling, and multiscale modeling of postharvest fruit water transport. He has led/co-investigated 12 projects since 2013, emphasizing interdisciplinary collaboration. Publications: Over 100 peer-reviewed articles, with recent focus on graphene-mediated heat transfer enhancement, plasma-activated cooling, and nanofluid applications. His work addresses both fundamental mechanisms and industrial applications. Labs/Teams: Active in thermal engineering and nanomaterials research groups, collaborating with institutions globally on sustainable energy and advanced materials.

Martin AchmusView profile

Professor

• Geotechnical Engineering
• Offshore Engineering
• Soil Mechanics
• +3 more

Prof. Dr.-Ing. Martin Achmus is a Professor at Leibniz University Hannover, affiliated with the Faculty of Civil Engineering and Geodetic Science and the Institute for Geotechnical Engineering. He holds multiple leadership roles, including Designated Dean of Civil Engineering and Executive Director of the Institute of Geotechnical Engineering. His research focuses on geotechnical engineering challenges in offshore wind energy, cyclic soil-pile interactions, and foundation design for renewable energy infrastructure. Positions: Designated Dean, Executive Director (Institute of Geotechnical Engineering), Board Member (Testzentrum Tragstrukturen), Exchange Coordinator (Civil Engineering/Computer-Assisted Engineering). Key Projects: Collaborative Research Center (SFB) 'Offshore-Megastructures', DFWind, ProBucket, Ho-Pile, and SEALENCE, focusing on offshore foundations, cyclic loading, and soil-structure interactions. Research Interests: Load-bearing behavior of offshore foundations, soil-pipeline interaction, cyclic loading effects on piles, and geotechnical design methodologies. His work bridges experimental testing (e.g., model tests, particle image velocimetry) and numerical simulations to address challenges in renewable energy infrastructure and geotechnical systems. Publications: Over 150 peer-reviewed articles, emphasizing cyclic soil responses, monopile foundations, suction bucket behavior, and district heating pipeline interactions. Recent work explores novel p-y curve models, capacity degradation under cyclic loading, and scaling approaches for sand behavior. Grants & Collaborations: Funded by DFG, BMWi, and EU initiatives. Collaborates with industry partners on offshore wind turbine foundations and geotechnical innovations. Labs/Teams: Leads research teams within the Institute of Geotechnical Engineering, focusing on experimental and computational geotechnics, with active participation in national and international research networks.

• Fatigue Assessment
• Structural Engineering
• Welded Metal Structures
• +7 more

Scott Walbridge is the Chair of the Department of Civil and Environmental Engineering at the University of Waterloo, where he has been actively teaching and researching since 2006. He holds a Doctorate in Civil Engineering from the Swiss Federal Institute of Technology (EPFL), a Master's from the University of Alberta, and a Bachelor's in Civil Engineering from the same institution. His research focuses on enhancing structural safety and durability through fatigue assessment, retrofitting of welded metal structures, modular construction, and life-cycle cost analysis. He chairs the CSA aluminum structures technical subcommittee for bridge design codes (S6) and actively contributes to code development for structural welding and aluminum design. Walbridge has been Program Director for Waterloo’s Architectural Engineering program (2018–2022) and serves on editorial boards for journals like Structural Engineering International and ASCE Journal of Bridge Engineering . Education: PhD, Civil Engineering (Steel Structures), EPFL, Switzerland (2005) MSc, Structural Engineering, University of Alberta (1998) BSc, Civil Engineering, University of Alberta (1996) Research Interests: Fatigue assessment, welded metal structures, modular construction, structural reliability, fracture mechanics, and life-cycle cost analysis. His work bridges theoretical frameworks with practical applications, such as improving fatigue life prediction for aluminum bridge decks and optimizing material selection for corrosion resistance. Professional Engagement: Chair of CSA S6 Aluminum Structures Subcommittee, active member of welding code committees (W59, W59.2), and contributor to national bridge design standards. His leadership in code development ensures alignment with modern material technologies and sustainability goals. Teaching & Advising: Recently taught courses like CIVE 512 (Rehabilitation of Structures) and CIVE 704 (Bridge Design). He is currently accepting graduate students in structural engineering and bridge design.