Dr. Ivana Kovacevic is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. Her research focuses on power electronics, semiconductor device modeling, and electromagnetic analysis of wide bandgap devices. ETH Zürich, Department of Information Technology and Electrical Engineering Contact: kovacevic@aps.ee.ethz.ch Her research explores SiC power MOSFETs, emphasizing their dynamic performance, reliability, and optimization through advanced modeling techniques like the Partial Element Equivalent Circuit (PEEC) method. She investigates parasitic extraction, thermal behavior, and stability issues in power modules, contributing to design improvements for high-efficiency systems. Her publications highlight trends in electromagnetic modeling, device-circuit interactions, and reliability analysis under extreme conditions. Key subfields include gate resistance dynamics, frequency-dependent capacitances, and multi-chip module design. Current projects involve virtual prototyping for power electronics and mission profile-based optimization of wearable power systems.
Sheldon Andrews is an Associate Professor of Software Engineering and IT at École de technologie supérieure (ETS) in Montreal, Canada, with an adjunct appointment in Computer Science at McGill University. He is a member of the Multimedia Research Laboratory and has established himself as a leading researcher in physics-based computer animation and simulation. Andrews earned his Ph.D. in Computer Science from McGill University (2015), MASc in Electrical and Computer Engineering from the University of Ottawa (2007), and B.Eng. in Computer Engineering from Memorial University (2004). His academic journey reflects a strong foundation in both theoretical and applied aspects of computer engineering and graphics. His research focuses on real-time physics simulation, articulated mechanism simulation, 3D character animation, motion capture, computational contact mechanics, and virtual environment modeling. Andrews' work bridges the gap between theoretical physics and practical applications in computer graphics, with particular emphasis on creating physically plausible animations that can run in real-time. His research has significant implications for video games, virtual reality, and robotics applications. Analysis of his recent publications (2022-2025) reveals a strong trend toward increasingly sophisticated physics-based character animation techniques, with growing integration of machine learning approaches. His work spans multiple subfields including collision detection, deformable object simulation, vehicle physics, and reinforcement learning for character control, demonstrating both breadth and depth in his research program. VRIPHYS 2012 best paper award for 'Policies for goal directed multi-finger manipulation' Andrews has advised numerous graduate students through their PhD and Master's degrees, with many going on to positions at major companies like DNEG, CM Labs Simulations, and AMD. His professional service is extensive, having served as Program Chair for SCA 2025 and MIG 2024, Conference Chair for I3D 2019, and on program committees for major conferences including SIGGRAPH, SCA, and MIG for multiple years. He has also been active in the Montreal SIGGRAPH Chapter as Secretary from 2018-2021. As a core member of the Multimedia Research Laboratory, Andrews collaborates with researchers across multiple disciplines to advance the state of the art in physics-based simulation. His lab maintains strong industry connections, including a visiting researcher position at Roblox Research, ensuring that theoretical advances translate to practical applications in gaming and virtual environments.
Professor Mohammad Reza Movahhedy is affiliated with the Department of Mechanical Engineering at Sharif University of Technology , Tehran, Iran. He holds the academic rank of Professor and specializes in Manufacturing Engineering . His research focuses on Additive Manufacturing, Machining Dynamics, and FEM Simulation. Education: PhD, Mechanical Engineering, University of British Columbia (2000) M.Sc., Mechanical Engineering, University of Waterloo (1994) B.Sc., Mechanical Engineering, University of Tehran (1988) Research Interests: Additive Manufacturing (3D Printing, Laser Cladding) Meta-Materials Fabrication Hybrid Machining Processes (Ultrasonic/Laser Assisted) Machining Dynamics and Machine Tool Behavior FEM Simulation of Metal Cutting/Forming Experimental Modal Analysis Computer-Aided Tolerancing Professional Contact: Email: movahhed@sharif.edu
Muhammet Kayfeci is a Professor at Karabük University , Faculty of Technology, Department of Energy Systems Engineering, Turkey. He holds a PhD in Mechanical Engineering from Süleyman Demirel University (2011) and a Master's in Mechanical Education from Zonguldak Karaelmas University (2005). His academic career spans roles from Instructor (2008-2011) to Associate Professor (2016-2021) and Professor (since 2021), with administrative roles including Dean (2021-2024) . Education : PhD (Mechanical Engineering) - Süleyman Demirel University (2006-2011) Master's (Mechanical Education) - Zonguldak Karaelmas University (2004-2005) BSc (Mechanical Engineering) - Bartın University (2014-2016) Kayfeci’s research focuses on thermodynamics , renewable energy systems , and hydrogen storage , particularly through metal hydride reactors and nanofluid applications . His work integrates computational modeling and experimental validation for energy efficiency improvements in photovoltaic/thermal (PV/T) systems and hydrogen storage technologies. Recent publications indicate a strong trend in nanofluid-enhanced cooling systems for solar panels, metal hydride reactor optimization , and machine learning applications for energy systems. He has supervised 13 theses (PhD and Master’s) and secured funding for projects like "Biomimetic Flow Channels in PEM Electrolysis Development" (2025-2026). Scientific Awards : TÜBİTAK-ULAKBİM International Scientific Publications Encouragement (UBYT) Award (2009-2014) He teaches courses including Fuel Cells and Electricity Production (Doctoral), Heat Exchangers , and Thermodynamics at undergraduate and graduate levels.
Assistant Professor Jackson Crane at Queen's University (Smith Engineering, Mechanical and Materials Engineering) specializes in renewable energy conversion technologies, electrocatalysis, and low-carbon combustion. His research spans detonation fundamentals for high-efficiency engines and CO2-reduction electrocatalysis for alternative fuel synthesis. Education: SB (MIT), MSc & PhD (Stanford), Postdoc (Queen's University) His research combines electrochemical CO2 conversion with detonation dynamics , focusing on multiphysics modeling and experimental validation. Current projects include: High-pressure CO2 reduction systems Detonation propagation in curved channels Pulse electrolysis for stable CO2 reduction Scientific awards include: Bernard Lewis Fellowship (2024) NSF Graduate Research Fellow (Stanford) Stanford Graduate Fellow
Piotr Kulik is an Assistant Professor at the University of Central Florida (UCF) in the Department of Electrical and Computer Engineering within the College of Engineering and Computer Science. His research focuses on nanofabrication of thin-film materials, microsystems for sensing and communication, and multiphysics devices. Ph.D. in Electrical Engineering, Northeastern University (2020) Dr. Kulik’s research bridges advanced materials synthesis with microwave and MEMS device design. His work on magnetodielectric composites and ferrite thin films enables next-generation RF components for wireless systems. Current projects explore spatiotemporal modulation techniques to achieve magnetic-free non-reciprocal devices, reducing size and complexity in communication hardware. His recent publications emphasize broadband impedance tuning, miniaturized RF circulators, and zero-power wake-up receivers. These contributions leverage multiphysics modeling and nanofabrication to optimize microwave performance in magnetic-free topologies and composite materials. Scientific Awards Association of Old Crows, Nonprofit for Electronic Spectrum Management, Future 5 Award (2022) Experiential PhD Leadership Program (LEADERs Fellow), Gordon Institute of Engineering Leadership (2020) Dr. Kulik actively contributes to academic communities as an affiliate member of the IEEE Microwave Theory & Techniques Society (MTT-13) and serves as a reviewer for journals including IEEE Microwave and Wireless Components Letters and Thin Solid Films . He collaborates with teams in the AIMS Lab on microwave magnetics and system design challenges.
Davood Pourkargar is an Assistant Professor in the Tim Taylor Department of Chemical Engineering at Kansas State University. He is also a Graduate Faculty Member at the Food Science Institute and a Faculty Researcher at the Johnson Cancer Research Center. His work focuses on integrating data with first-principle models to understand complex systems across multiple scales. Ph.D. in Chemical Engineering from Pennsylvania State University (2015) M.S. in Process Simulation and Control from Sharif University of Technology (2010) B.S. in Chemical Engineering from Sharif University of Technology (2008) His research interests span computational multiscale modeling, digital twin development, applied artificial intelligence, and optimization-based control of complex process networks. Dr. Pourkargar's work integrates process systems engineering with artificial intelligence to address challenging problems in chemical, biological, energy, and food systems. He develops intelligent frameworks for controlling complex process networks, designing cyber-physical architectures for smart manufacturing, and advancing system identification using machine learning and process data analytics. A significant aspect of his research involves physics-informed machine learning applied to cancer dynamics modeling and drug distribution in the human body. Dr. Pourkargar's publication record shows a strong focus on predictive modeling and control of chemical processes, particularly ammonia synthesis systems, polysilicon reactor systems, and food extrusion processes. His recent work increasingly incorporates machine learning techniques, especially transformer architectures and physics-informed approaches, applied to both traditional chemical processes and emerging areas like organ-on-a-chip systems for drug discovery. 2024 Carl R. Ice College of Engineering Outstanding Assistant Professor Award NSF EPSCoR Research Fellowship 2023 Kansas EPSCoR First Award AFOSR Faculty Fellowship Big XII Faculty Fellowship Robert F. Smith School Distinguished Junior Researcher Award from Cornell University (2017) O. Hugo Schuck Best Paper Award (2014) Dr. Pourkargar has successfully mentored numerous graduate students through their master's and doctoral research, with several receiving departmental and college-level awards. His research has been supported by significant grants from the National Science Foundation, Kansas EPSCoR, and K-State's Global Food Systems initiative. His lab has presented extensively at major conferences including AIChE Annual Meetings and American Control Conferences. The Intelligent Systems and Process Systems Laboratory (ISPSL) led by Dr. Pourkargar operates computational and experimental facilities in Durland Hall. The lab is expanding into robotic additive manufacturing and autonomous biomanufacturing, supported by research infrastructure grants. The group maintains active collaborations with the Johnson Cancer Research Center and the Terasaki Institute for Biomedical Innovation.
John Q. Xiao is the UNIDEL Professor of Physics & Astronomy at the University of Delaware's College of Arts & Sciences. His research focuses on spintronic devices, magnetism in nanostructured materials, metamaterials, and high-frequency magnetic materials. He is affiliated with the Physics & Astronomy department and has contributed to groundbreaking work on magnetic tunnel junctions, magnon dynamics, and terahertz spintronic systems. Xiao's work integrates experimental and theoretical approaches, often involving advanced characterization techniques like thin-film deposition and time-resolved spectroscopy. Research Areas: Spintronics, Magnetism, Metamaterials, Nanostructured Composites Affiliations: UNIDEL Professor role emphasizing interdisciplinary research His studies explore phenomena such as spin-polarized transport, ultrafast demagnetization, and magnon-photon interactions. Recent projects include developing flexible magnetic composites for microwave absorption and investigating quantum effects in layered materials like Fe5GeTe2. Xiao collaborates on projects involving advanced materials for high-frequency electronics and quantum sensing applications. Xiao’s publications span topics from topological insulators to nanomaterial synthesis, with a focus on practical applications in energy-efficient devices and electromagnetic systems. His work is supported by grants addressing spin-orbit torques, magnonics, and novel 2D materials.
Dr. Simone Falco is a Research Fellow at the Department of Engineering Science, University of Oxford, and a Lecturer at Oriel College. He holds a DPhil (Oxon) in Engineering Science. His research focuses on numerical modeling of polycrystalline materials, micromechanical behavior of ceramics, and multi-scale approaches. He has contributed to projects involving high-rate testing, explosive materials simulation, and flash sintering techniques. His work bridges computational methods with experimental validation, emphasizing practical applications in materials engineering. Education: Bachelor’s and Master’s in Aerospace Engineering, University of Naples Federico II (2006, 2009) PhD in Engineering Science, University of Oxford (2015) Research Interests: Generation of numerical models for real polycrystalline microstructures Numerical simulation of brittle material failure Multi-scale homogenization techniques High-rate material testing Modeling of material manufacturing processes Key Awards: Ross Coffin Purdy Award, American Ceramic Society (2019) JCS 2018 Award, Journal of the Ceramic Society of Japan (2019) Excellence Award, University of Oxford (2019) Lab/Team Affiliations: Impact Engineering and Materials Engineering groups at the University of Oxford.
Professor Wang Shiren is a faculty member in the Department of Industrial & Systems Engineering at Texas A&M University, holding the Jill & Charles F. Milstead '60 Faculty Fellowship. He is affiliated with Biomedical Engineering and Materials Science & Engineering. His research focuses on additive manufacturing, bio/nano-manufacturing, brain-inspired AI, and decarbonization. He leads the Manufacturing Intelligence and Nanotechnology Innovation (MINI) Lab, emphasizing sustainable manufacturing and commercialization. Education: Ph.D. in Industrial & Manufacturing Engineering from Florida State University (2006) Research interests span advanced materials, energy-efficient manufacturing, and AI integration. Recent work includes low-carbon ceramics, thermoelectric materials, and nanozyme-based therapies. Over 100 peer-reviewed publications demonstrate expertise in additive manufacturing, nanocomposites, and energy harvesting. Awards include NSF CAREER Award (2010-15) and multiple faculty fellowships. Awards: NSF CAREER Award, AFOSR Fellowship, Texas A&M TEES Fellowship, and 3M Non-tenured Award. Grants and collaborations focus on AI-driven manufacturing, eco-friendly processes, and medical device innovation. The MINI Lab develops smart materials and sustainable solutions for industrial and biomedical applications. Labs/Teams: MINI Lab at Texas A&M, specializing in nanotechnology and manufacturing intelligence.
Robert Jackson is the Albert Smith Jr. Professor in the Department of Mechanical Engineering at Auburn University’s Samuel Ginn College of Engineering. He holds a Ph.D., M.S., and B.S. in Mechanical Engineering from the Georgia Institute of Technology and is a leading researcher in tribology, contact mechanics, friction, wear, and lubrication. He serves as Editor-in-Chief of the ASME Journal of Tribology and leads a research group focused on multiscale modeling, electrical contact reliability, and sustainable biolubricants. His research interests include: tribology, friction, wear, surface engineering, surface fatigue, lubrication, nano-lubricants, surface texturing, and multiphysics modeling. He applies these to challenges in electric vehicles, aerospace systems, and biomedical devices. His work integrates experimental validation with finite element and statistical modeling to understand contact behavior across scales. His recent publications focus on electrical erosion in EV bearings, nanoparticle-enhanced greases, mixed lubrication models, and biolubricants from waste oil. These works reflect a strong trend toward sustainable engineering, advanced materials, and predictive modeling in mechanical systems. His interdisciplinary approach bridges mechanical, materials, and electrical engineering. ASME Fellow Fellow, Society of Tribologists and Lubrication Engineers (STLE) Ralph Beard Memorial Academic Award Editor-in-Chief, ASME Journal of Tribology Dr. Jackson advises graduate students such as Jack Janik and collaborates with researchers on projects involving electrical connectors, solenoid valves, and biolubricant development. His lab engages in both fundamental contact mechanics and applied industrial problems. He leads the tribology minor and student sections of ASME and STLE at Auburn.
T M Indra Mahlia , a Distinguished Professor at the School of Civil and Environmental Engineering , University of Technology Sydney (UTS), leads cutting-edge research in sustainable energy systems and environmental engineering. As a core member of the Centre for Technology in Water and Wastewater and the Centre for Advanced Modelling and Geospatial Information Systems , he bridges engineering innovation with practical climate solutions. PhD from University of Malaya (Kuala Lumpur, Malaysia) Fluency in English, Indonesian, Malay, and Achinese for peer review His research spans Techno-Economic Analysis , Circular Economy , and Water-Energy Nexus challenges, supported by over $5 million in grants. His work focuses on: Hydrogen energy systems optimization Advanced materials for energy storage Low-cost water purification technologies Sustainable biodiesel production Thermal management innovations As a Highly Cited Researcher (Clarivate Analytics, 2017-2022) and The Australian 's 2019/2025 Sustainable Energy Leader , he mentors future researchers - notably guiding two Highly Cited PhD students ( H.C. Ong and A.S. Silitonga ). His publications across 2024-2026 demonstrate technical advancements in: Hydrogen carrier systems Microalgae-derived lubricants High-entropy alloy corrosion resistance Artificial neural network optimization Phase change material thermal sinks Biohydrogen production pathways
Kumar Ankit is an Associate Professor of Materials Science and Engineering (MSE) and Graduate Program Chair in the School for Engineering of Matter, Transport and Energy at Arizona State University. His research focuses on computational materials science with emphasis on phase-field modeling of microstructural evolution in materials. He leads the 4D ICE (Laboratory for 4D Interface Control & Engineering) research group, which develops computational tools for discovering efficient processing routes for advanced materials synthesis. Education: Ph.D. (Dr.-Ing.) Summa Cum Laude, Mechanical Engineering, Karlsruhe Institute of Technology, Germany (2015) Integrated Dual Degree (B.Tech/M.Tech) Metallurgical Engineering, Indian Institute of Technology-BHU (2010) Dr. Ankit's research spans multiple domains of computational materials science, with particular expertise in quantitative phase-field modeling. His work integrates computational approaches with machine learning to address fundamental challenges in microstructure science and engineering. His group investigates phenomena including solidification, solid-state transformations, grain coarsening in multicomponent alloys, electromigration-induced damage, and self-organization in polymers and vapor-deposited films. A growing emphasis in his recent work involves developing data-driven emulators that can predict complex microstructural evolution more efficiently than traditional simulation methods. Analysis of Dr. Ankit's recent publications reveals a strong trend toward integrating machine learning with traditional computational materials science methods. His work increasingly focuses on developing data-driven approaches to model complex microstructural evolution, particularly in electromigration and phase separation phenomena. The research spans multiple disciplines including materials science, computational physics, and machine learning, with applications in semiconductor manufacturing, microelectronics reliability, and advanced materials processing. Scientific Awards: 2024 Wenner-Gren Fellow (Sweden) 2022 NSF Early Career Award (CAREER) 2022 Editors' choice award, Journal of Phase Equilibria and Diffusion 2018 Robert W. Cahn prize of Springer Nature and the Journal of Materials Science 2016 Early Career Investigator Award of the German Research Foundation (DFG) Dr. Ankit has successfully secured significant research funding including a $560,000 NSF CAREER award for studying pearlite discontinuities in eutectoid microstructures, a $5 million DOE Earthshots grant as co-PI for carbon-free steelmaking technology, and multiple NSF grants focused on electromigration and materials characterization. He mentors several PhD students who work on diverse research projects spanning computational modeling of electromigration, nanostructural self-assembly, and capillary-mediated interface phenomena. Dr. Ankit co-founded the MateriAlZ Seminar series with collaborators at ASU and the University of Arizona to promote student engagement and increase the visibility of Arizona universities in Materials Science and Engineering. Dr. Ankit directs the 4D ICE research laboratory, which focuses on developing computational tools for rapid discovery of time-, energy-, and cost-efficient processing routes for materials with tailored functionality. The lab's work lies at the intersection of phase-field modeling, machine learning, and high-performance computing. Current projects include investigating capillary-mediated solid-liquid interface energy fields (funded by NASA), electromigration-induced defects in electronic materials (funded by NSF), and nanostructural self-assembly in vapor-deposited films (funded by ASU College of Engineering). The lab maintains strong collaborations with researchers at national laboratories and in industry.
Lars Duggen is a researcher and Head of Unit at SDU Mechatronics Center, University of Southern Denmark, specializing in advanced manufacturing, sensor systems, and mechanical design. His work bridges 3D printing, piezoelectricity, and industrial mechatronics. Institute of Mechanical and Electrical Engineering, University of Southern Denmark Head of Unit, SDU Mechatronics Research Focus: 3D printing of multi-material systems, piezoelectric gas sensors, microcantilever dynamics, and hybrid flexible electronics. Recent projects explore nonlinear sensor behavior, fault diagnosis algorithms, and biomedical applications like non-invasive glucose monitoring. Scientific Contributions: Key articles address machining forces in multi-material printing, functionalization layer modeling, and transfer learning for machinery diagnostics. His work has been cited in fields spanning mechanical engineering, materials science, and sensor technology. Honored with BHJ-priser (2022) Recognized in Sønderjylland research excellence (2022) Teaching & Supervision: Supervises mechatronics projects including fluid behavior modeling and mechanical component design. Collaborates on EU-funded initiatives like EUROFusion BB RH facility and Medical Microtechnology.
Sophia Haussener is an Associate Professor at the Laboratory of Renewable Energy Science and Engineering (LRESE) within the School of Engineering at École polytechnique fédérale de Lausanne (EPFL). She contributes to research in Renewable Energy , Electrochemistry , and Materials Science , with a focus on solar energy conversion and CO2 reduction technologies. Her leadership extends to academic committees such as the Commission des prix de la recherche and Academic Strategy Committee . Her research group explores Multiphysics Modeling , CO2 Electrolysis , and Photoelectrochemical Systems , emphasizing scalability and industrial integration. Recent publications highlight advancements in Gas Diffusion Electrodes , Photostability , and Membrane Engineering , reflecting her interdisciplinary approach to renewable energy solutions. Scientific Awards Yellott Award (2024): ASME Solar Energy Division Cell Press’s 50 Scientists that Inspire (2024) Raymond Viskanta Award (2019): Elsevier & Journal of Quantitative Spectroscopy ABB Forschungspreis (2012) ETH Medal (2011) Dimitris N. Chorafas Prize (2011) PhD Students Agarwal Venu Gopal Delgado Díaz William Orlando Lorenzutti Francesca Mora-Monteros Jérémy Raphaël van Rooij Sarah and 21 others Article Trends Focus on CO2 Electrolysis , Photoelectrochemical Systems , and Multiphysics Modeling Key themes: Gas Diffusion , Membrane Technology , Photostability , and Industrial Integration
