Find Academic Supervisors

• Casting Simulation
• Thermal Analysis
• Computational Mechanics
• +3 more

Prof. Dr. Norbert Hofmann is a Lecturer in thermo-mechanical and casting simulation at the Institute of Thermal and Fluid Engineering within the School of Engineering and Environment at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) . His career spans over 25 years of research and teaching in computational mechanics and advanced manufacturing processes. Roles : Lecturer, Researcher, Conference Organizer Expertise : Numerical simulation, casting optimization, thermal analysis Collaborations : Swiss Nanoscience Institute, ETHZ, international automotive/energy sectors Research Interests focus on: Thermo-mechanical simulation of industrial casting processes Advanced solidification modeling with finite element methods Process optimization using automated systems Thermal management in electronics packaging Microspecimen mechanical testing at extreme temperatures Publication Trends show consistent contributions to casting technology innovation, spanning from aerospace turbine blades (1990s) to modern nanoscale bonding applications. His work bridges computational modeling with experimental validation across disciplines. Scientific Awards : Best Paper Award (2000) for innovative casting process development Outstanding ranking for thermophysical property data contributions As educator, he has mentored numerous students in Computational Mechanics and Advanced Manufacturing through hands-on simulation projects. His research has been supported by collaborations with ABB Turbo Systems AG , Honda Research Center , and Ford Research Center . Labs & Teams : Active participant in the Final COST526 Workshop and APOMAT research consortium. Maintains close ties with Foundry Center FHNW and Swiss NanoScience Institute at Basel University.

• Biomedical Engineering
• Medical Physics
• Computational Modeling
• +3 more

Vahid Badeli is a researcher at the Institute of Fundamentals and Theory in Electrical Engineering, Graz University of Technology. He specializes in biomedical engineering applications of electrical impedance and computational modeling, with a focus on cardiovascular diagnostics and aortic dissection detection. His work bridges electrical engineering, fluid dynamics, and clinical medicine. Key affiliations: Graz University of Technology, University of Oslo (visiting researcher) Research themes: Bioimpedance signal analysis, digital twin development for arterial assessment, medical device prototyping His publication trends (2014-2025) emphasize numerical simulation , Bayesian inference , and finite element modeling of bioimpedance phenomena. Recent projects include MedShapeNet (3D medical shape dataset) and BioImpedanceDigiTwin (digital twins for arterial assessment). Badeli actively collaborates across Europe, with presentations at IEEE and COMPEL journal. He has contributed to openCFS simulations and developed wearable biosensors like flexible electrode straps for arterial monitoring. His methodological innovations include nonconforming finite element formulations and multi-sensor Bayesian classification systems.

• Artificial Intelligence
• E-health
• Machine Learning
• +7 more

Marco Agostino Deriu is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Vice Coordinator of the Biomedical Engineering College and is a member of the PolitoBIOMed Lab - Biomedical Engineering Lab. His extensive academic portfolio includes teaching courses in biomechanical design, rational drug design, and multiscale biomechanics across multiple academic years. Professor Deriu's research spans multiple cutting-edge domains including artificial intelligence, e-health, machine learning, molecular modeling, multiphysics modeling, multiscale modeling, and pathology dynamics. His work bridges computational approaches with biomedical applications, with particular emphasis on translating research into clinical strategies. His expertise is reflected in the ERC sectors he works within: Bioinformatics, Biophysics, Computational Biology, Industrial Bioengineering, and Health Services Research. His publication portfolio demonstrates strong trends toward AI applications in healthcare, particularly in neonatal care, neurodegenerative disease modeling, and medical image analysis. The research shows increasing integration of machine learning with traditional biomedical engineering approaches, with a growing emphasis on explainable AI systems for clinical decision support. Recent work focuses on preterm infant monitoring, neurodevelopmental disorder diagnosis, and molecular-level disease modeling. Professor Deriu actively supervises numerous PhD students working on diverse biomedical engineering topics. His research portfolio includes significant grant funding from multiple sources including National Research projects (LANGMOL, DGDMF2, AIFood), EU Horizon 2020 projects (PARENT, CRYSTAL, VIRTUOUS), and private foundation research (GALATEA). He leads the PolitoBIOMed Lab - Biomedical Engineering Lab and is part of the Biomechanics of Solids and Fluids research group within DIMEAS. His collaborative network spans multiple institutions, including collaborations with University of Applied Sciences of Southern Switzerland (SUPSI), and involvement in international research consortia focused on neonatal health, neurodegenerative diseases, and AI applications in medicine.

• Solid-State Batteries
• Electrochemistry
• Materials Science
• +5 more

Mohamed El Marini is an active Assistant Professor in the Department of Materials and Chemistry at the Faculty of Engineering, Vrije Universiteit Brussel (VUB). His research focuses on advanced electrochemical systems and energy storage materials, particularly solid-state batteries and electrochemical interfaces. His primary research interests include: Solid electrolytes and electrode interfaces for all-solid-state batteries In situ electrochemical characterization using TEM (EC-TEM) Multiscale modeling of electrochemical processes Electrochemical nucleation and growth mechanisms Energy storage materials development His recent publications demonstrate a strong emphasis on combining experimental techniques like electron microscopy with computational modeling to understand fundamental processes in battery materials. Key trends include the investigation of solid-electrolyte interfaces, electrochemical-radiolysis coupling, and high-throughput electrochemical characterization methods. No scientific awards were explicitly mentioned in the source materials. El Marini actively participates in doctoral scholarship programs and collaborates extensively within VUB's research ecosystem. His work involves significant interdisciplinary collaboration across materials science, chemistry, and engineering disciplines, particularly through VUB's research groups focused on sustainable materials engineering. While specific grant details aren't provided, his research output suggests involvement in projects related to next-generation battery technologies and electrochemical characterization methods. His research appears to be conducted within VUB's advanced materials characterization facilities, with particular emphasis on in situ electrochemical transmission electron microscopy (EC-TEM) capabilities and multiscale modeling infrastructure for studying solid-state battery interfaces.

• Solar Energy Conversion
• Photoelectrochemical Water Splitting
• Semiconductor Physics
• +5 more

Professor Roel van de Krol is a leading materials scientist at the Helmholtz-Zentrum Berlin's Institute for Solar Fuels, specializing in photoelectrochemical systems for solar energy conversion. With an extensive publication record spanning from 2013 to 2025, he maintains an active research program focused on developing advanced materials for solar water splitting and hydrogen production. His work bridges fundamental materials science with practical solar fuel applications. Dr. van de Krol's research interests center on semiconductor photoelectrodes, particularly metal oxide systems like bismuth vanadate (BiVO 4 ) and copper bismuth oxide (CuBi 2 O 4 ). His team investigates charge carrier dynamics, surface modification strategies, and novel deposition techniques to enhance photoelectrochemical efficiency. Recent work explores bubble management in water splitting systems, biomass valorization through photoelectrochemical oxidation, and the integration of multi-junction absorbers for artificial leaf structures. Analysis of his recent publications reveals a strong emphasis on understanding fundamental charge transport limitations in photoabsorbers while simultaneously addressing practical engineering challenges in solar fuel devices. His work spans from ultrafast electron dynamics studies to techno-economic assessments of integrated solar fuel systems, demonstrating both depth in fundamental science and breadth in applied technology development. Professor van de Krol maintains extensive collaborations across the international solar fuels research community, frequently working with groups at HZB, TU Berlin, and international institutions. His research program includes both fundamental materials investigations and device-level engineering, contributing significantly to the advancement of solar-driven hydrogen production technologies.

• Nanotechnology
• Spintronics
• Magnonics
• +4 more

Professor Adekunle Adeyeye is the Principal of Trevelyan College and a Professor in the Department of Physics at Durham University, where he has been affiliated since January 2020. He holds a First Class Honors Degree in Physics from the University of Ilorin (1990), an MPhil in Microelectronic Engineering and Semiconductor Physics (1993), and a PhD from the University of Cambridge (1996). He was a Junior Research Fellow at Trinity College, Cambridge, and previously held academic positions at the National University of Singapore, rising to Full Professor in 2012. His research focuses on nanomagnetism and spintronics , with emphasis on nanomagnets for non-volatile memory, magnonics, spin wave devices, and magnetic biosensors. Key areas include: Fundamental physics of spin dynamics and magnetization in nanostructures Design of functional nanomaterials for spintronic applications Advanced nanofabrication techniques for magnetic devices Recent publications (2022-2025) predominantly explore spin wave manipulation, 3D spin textures, and magnetization dynamics in nanostructures, reflecting a consistent focus on tunable magnonic systems and interfacial coupling effects. Trends show increasing complexity in geometric designs (e.g., artificial spin ice, trilayer nanowires) and hybrid magnetomechanical systems. Awards and Fellowships: TR100 Top 100 Young Innovators (MIT) IEEE Magnetics Society Distinguished Lecturer (2013) Fellow of the American Physical Society Fellow of the Institute of Physics Royal Society Wolfson Fellow He currently supervises four postgraduate research students: Angus Hodgkiss, Debi Rianto, Jay Scott, and Szymon Oramus. His group utilizes advanced nanofabrication facilities and collaborates internationally on magnonics and spintronics projects.

Vadim SilberschmidtView profile

Professor

• Mechanics of Materials
• Composite Materials
• Fracture Mechanics
• +7 more

Professor Vadim Silberschmidt holds the Chair of Mechanics of Materials at Loughborough University's Wolfson School of Mechanical and Manufacturing Engineering, UK. He leads the Mechanics of Advanced Materials Research Group and chairs the 'Materials and Measurement' research theme. As Director of the International Centre of Vibro-Impact Systems (ICoVIS), his work spans interdisciplinary mechanics and materials science. Previously, he was a Senior Researcher at Technische Universität München and a Humboldt Foundation Fellow at DLR. His research focuses on composite materials, fracture mechanics, biomedical applications, and additive manufacturing. Key contributions include computational modeling of material behavior under extreme conditions, damage analysis in composites, and biomaterials for medical devices. He has pioneered studies on the thermomechanical behavior of cast irons and fracture processes in advanced materials. Education: DiplEng and PhD from USSR institutions, followed by postdoctoral roles at Russian Academy of Sciences. Awards: Honorary Professorships, Tokyo University of Science Prize, Humboldt Fellowship, and Soviet/Russian academic medals. Professional Affiliations: Chartered Engineer, Fellow of the Institution of Mechanical Engineers, and Fellow of the Institute of Physics. His publications (2025–2024) emphasize interdisciplinary material science, with trends in computational modeling of dynamic material behavior, composite durability under environmental loads, and biomedical applications of advanced materials. Recent work highlights biomimetic scaffold design and nanostructure-based drug delivery systems for cancer therapy. Awards: Multiple honors recognizing his contributions to materials science and mechanics. Grants & Leadership: Extensive research leadership roles and international collaborations, including ICoVIS initiatives. Labs/Teams: Active in the Mechanics of Advanced Materials Group and ICoVIS, focusing on material degradation, fracture mechanics, and computational methods.

Shima ShahabView profile

Associate Professor

• Structural Dynamics
• Wave Propagation
• Smart Materials
• +6 more

Shima Shahab is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech, with a secondary appointment at the Virginia Tech Research Center (VTRC) in Arlington, VA. She directs the Multiphysics Intelligent and Dynamical Systems (MInDS) Laboratory, focusing on structural dynamics, wave propagation in smart materials, and ultrasound-driven technologies. Her research spans applications like wireless acoustic power transfer, acoustic holograms, and biomedical devices. Education: Ph.D. (2015), M.S. (2013), and B.S. (2004) in Mechanical Engineering from Georgia Institute of Technology, University of Kerman (Iran), and Georgia Tech, respectively. Research interests include ultrasound-responsive polymers, nonlinear acoustics, and interdisciplinary systems. Key achievements: NSF CAREER Award (2022), Gary Anderson Early Achievement Award (2023), and recognition as an Emerging Leader in Smart Materials (2024). She has published extensively and collaborates across engineering and liberal arts fields. Grants and funding include NSF awards totaling $3.8M for MInDS, including CAREER and EAGER grants. Her lab supports 13 PhD candidates and 20 undergraduates. Awards also include ASME honors and fellowships like the Mary V. Jones Faculty Fellowship. Labs/Teams: MInDS Lab (focusing on multiphysics systems) and collaborations with biomedical engineering, mining safety, and arts disciplines.

• Mathematical Biology
• Numerical Simulation
• Fluid-Structure Interaction
• +4 more

Prof. Elfriede Friedmann is a Professor at the University of Kassel's Department of Numerics and Mathematical Modelling. Her research focuses on interdisciplinary applications of numerical methods in biomedical engineering, particularly in ophthalmology and systems biology. She specializes in fluid-structure interaction, pharmacokinetics modeling, and developing computational tools for medical diagnostics and treatment optimization. Education: Advanced degrees in mathematics and applied sciences (details not explicitly provided) Key Research Areas: Mathematical modeling of ocular systems, drug delivery mechanisms, and biological signaling pathways Her work emphasizes translating complex biological systems into mathematical frameworks, such as the 'Virtual Eye' project simulating human eye dynamics. Recent studies investigate retinal neurogenesis, intraocular lens stability, and viscoelastic fluid dynamics in ocular environments. Prof. Friedmann collaborates with clinical partners to validate numerical models against experimental data. Notable contributions include: Development of coupled PDE/ODE systems for intercellular signaling Optimization algorithms for medical device performance High-resolution MRI-based anatomical modeling Numerical methods for drug diffusion analysis Her lab integrates computational fluid dynamics, finite element analysis, and systems biology to address unmet clinical needs in ophthalmology. Current projects explore personalized treatment simulations for retinal diseases and glaucoma.

• Photovoltaics
• Solar Energy
• Renewable Energy
• +3 more

Prof. Rutger Schlatmann is a Professor at HTW Berlin and Head of the Solar Energy Division at the Helmholtz-Zentrum Berlin (HZB). He leads strategic initiatives in photovoltaic technologies through roles like Chair of the European Technology and Innovation Platform for Photovoltaics (ETIP PV), focusing on advancing solar energy innovation and European industrial resilience. His research emphasizes next-generation solar cell materials, including perovskite-based tandem systems and hydrogen storage technologies. He holds a central role in fostering international collaborations, such as the Memorandum of Understanding between HZB and the National University of Kyiv-Mohyla Academy to establish a Joint Research Lab addressing Ukraine’s energy-climate integration with the EU. His work bridges academia and industry, with contributions to solar cell efficiency, stability, and sustainable energy systems. Key research themes include perovskite solar cells, tandem architectures, and hydrogen technologies. Recent studies focus on material stability, laser patterning optimization, and catalyst development for hydrogen pumps. He actively promotes the European photovoltaic sector through policy advocacy and interdisciplinary partnerships.

• Topology Optimization
• Multi-material Systems
• Composite Materials
• +11 more

Xiaojia Zhang is an Assistant Professor in the Departments of Civil and Environmental Engineering and Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC), and also holds an appointment at the National Center for Supercomputing Applications (NCSA). He is a David C. Crawford Faculty Scholar. His research focuses on topology optimization, multi-material systems, composite materials, and sustainable design, with applications in mechanical, biomedical, and environmental engineering. Zhang’s work integrates computational mechanics, advanced material science, and additive manufacturing to develop innovative materials and structures. His key research interests include the design of meta-devices, programmable materials, and structures optimized for mechanical performance, energy dissipation, and environmental impact. Zhang has received prestigious awards such as the DARPA Director’s Fellowship Award (2024), DARPA Young Faculty Award (2022), and NSF CAREER Award (2021). His contributions span theoretical frameworks, computational tools (e.g., FEniTop software), and experimental validations of optimized structures. Labs/Teams : Active contributor to NCSA’s high-performance computing initiatives and collaborative projects in the College of Engineering. Advising & Grants : NSF CAREER-funded research in topology optimization and sustainability-focused grants. No formal advisee list provided.

Irena KnezevicView profile

Professor

• Quantum Transport
• Nanoelectronics
• Nanophotonics
• +5 more

Prof. Irena Knezevic is a Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with an additional affiliation in Materials Science & Engineering. Her research focuses on theoretical and computational modeling of nanoscale systems, including quantum transport in semiconductor nanostructures, nanoscale thermal transport, and multiphysics simulations. She leads a collaborative team working on topics such as nanophotonics, thermoelectrics, and exciton transport in organic solar cells, supported by funding from DOE, NSF, and AFOSR. Education: PhD 2004 in Physics from Arizona State University. She has taught courses including Electrodynamics I, Transport in Semiconductor Devices, and graduate research supervision across ECE and Physics departments. Research interests emphasize: quantum/semiclassical electronic transport, heat transport at nanoscale, decoherence in nanostructures, multiphysics simulation (electronic/thermal/electromagnetic coupling), nanophotonics/plasmonics, and exciton dynamics in organic photovoltaics. Her work bridges theoretical physics, computational methods, and experimental collaborations. Notable awards include the NSF CAREER Award (2006), AFOSR YIP (2009), Vilas Distinguished Achievement Professorship (2022), and multiple teaching awards including Chancellor’s Distinguished Teaching Award (2020). She has also held the Patricia and Michael Splinter Professorship in ECE (2017). Her group’s research spans semiconductor nanostructures, graphene-based materials, quantum cascade lasers, and thermoelectric materials. Current projects involve terahertz electronics, plasmonic effects, and high-performance nanodevice simulation tools like DECaNT for exciton diffusion modeling.

Changhong KeView profile

Professor

• Experimental Mechanics of Nanostructures
• Nanoscale Adhesion and Interfaces
• Nanocomposites
• +5 more

Changhong Ke is a Professor in the Department of Mechanical Engineering at Binghamton University. His research focuses on experimental mechanics of nanostructures, nanoscale adhesion, nanocomposites, bio-inspired systems, and NEMS. He holds editorial roles for Dataset Papers in Nanotechnology and Multiscale & Multiphysics Mechanics , and leads the Nanomechanics Laboratory. Education: BS and MS in Mechanical Design/Fluid Mechanics – Beijing Institute of Technology PhD in Mechanical Engineering – Northwestern University Postdoctoral Research – Duke University (DNA/RNA elasticity and radiation-induced DNA damage) Research Interests: His work explores the mechanics of 1D/2D nanostructures, bio-inspired sensor design, and advanced materials like boron nitride nanotubes. Key areas include nanocomposite reinforcement, thermal and mechanical properties of nanomaterials, and additive manufacturing techniques. Key Contributions: Recent studies address bio-inspired acoustic sensors, oxidation-resistant interfaces in composites, and novel manufacturing methods. His work bridges nanotechnology with practical applications in sensors, biomedical systems, and advanced materials. Awards & Grants: Not explicitly stated in the text, but his research on corrosion-resistant composites and micromanufacturing has attracted NSF funding (e.g., 2022 NSF grant for tinier circuit techniques). Labs & Teams: Directs the Nanomechanics Laboratory, focusing on nanoscale characterization and device fabrication. Collaborations span multidisciplinary projects in nanotechnology and materials science.

Dehao LiuView profile

Assistant Professor

• Advanced Manufacturing
• Materials Science
• Multiscale Modeling
• +3 more

Dehao Liu is an Assistant Professor in the Department of Mechanical Engineering at Binghamton University. He holds a BS from Tsinghua University (2016) and a PhD from Georgia Institute of Technology (2021). Before joining Binghamton in 2022, he was a postdoctoral researcher at Texas A&M University. His research focuses on advanced manufacturing processes, particularly multiscale multiphysics modeling, physics-informed machine learning, and optimization methodologies. He leads the Intelligent Manufacturing & Materials Design Lab and is affiliated with Binghamton’s College of Engineering and Applied Sciences. Education: Bachelor of Science in Mechanical Engineering, Tsinghua University, 2016 Doctor of Philosophy in Mechanical Engineering, Georgia Institute of Technology, 2021 Research interests include: Multiscale multiphysics modeling and simulation Physics-informed machine learning for materials design Process monitoring and control in additive manufacturing Optimization and uncertainty quantification His recent work emphasizes predictive modeling of material microstructures and integrating AI with physical constraints to enhance manufacturing precision. He has contributed to exascale microstructure reconstruction, generative models for large-scale objects, and data-driven process optimization in metal additive manufacturing. Notable collaborations include projects funded by the National Science Foundation and industry partnerships in sustainable energy and biomedical materials. His lab actively explores applications in MEMS devices, microbial fuel cells, and biomaterial scaffolds.

• Electromagnetic Modeling
• Finite Element Analysis
• Computational Electromagnetics
• +3 more

Jianming Jin is the Y. T. Lo Chair and Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. He also serves as Assistant Dean for Zhejiang University-UIUC Institute Engagement. His research focuses on computational electromagnetics, finite element methods, and high-frequency device modeling. Key contributions include physics-informed machine learning for electromagnetic optimization, 3D finite element analysis of resonators, and thermal modeling of nonlinear materials. Affiliations: UIUC Grainger College of Engineering, Zhejiang University-UIUC Institute Key Awards: IEEE Fellow (2001), Harrington-Mittra Award (2017), ACES Awards (2014-2016) Research interests span electromagnetic simulation, multiphysics modeling, and quantum nanowire physics. Recent work emphasizes integrating AI with traditional computational methods to enhance efficiency in high-frequency device design. Collaborations include studies on nonlinear magnetic materials and resonator dynamics. Labs/Teams: Computational Electromagnetics Group at UIUC