جست‌وجوی استاد و پژوهشگر

Jürgen Bielaمشاهده پروفایل

استاد

• Power Electronics
• Multi-physics Modeling
• High Power Electronic Systems
• +۶ مورد دیگر

Prof. Dr. Jürgen Biela serves as Full Professor at ETH Zurich within the Department of Information Technology and Electrical Engineering, where he leads the Laboratory for High Power Electronic Systems. His academic career at ETH Zurich has progressed from doctoral studies to his current position as head of his research laboratory, with significant contributions to power electronics research and education. Biela earned his diploma with honors from Friedrich-Alexander University in Erlangen, Germany in 2000 and completed his Ph.D. at ETH Zurich in 2005, both in electrical engineering. His educational background includes specialized work on resonant DC-link inverters at Strathclyde University and active control of series connected IGCTs at the Technical University of Munich. His research program focuses on multi-physics modeling, design and optimization of power electronic systems , with particular emphasis on applications for future energy distribution and transmission, pulsed power systems, and advanced medium voltage power electronics based on novel semiconductor technologies like silicon carbide (SiC). He also investigates integrated passive components for ultra-compact and ultra-efficient high-power converter systems, pushing the boundaries of power density and efficiency in electronic power conversion. Analysis of his recent publications reveals strong trends in high-frequency power conversion , with significant work on transformer and inductor design, insulation systems for medium-frequency applications, thermal management of power components, and advanced modeling techniques for electromagnetic phenomena. His research bridges fundamental electromagnetic theory with practical engineering applications, particularly in high-voltage and high-power scenarios where traditional approaches face limitations. As a prolific researcher, Biela has published over 85 journal papers and 210 conference papers while holding more than 35 patents. He serves as an Associate Editor for the IEEE Transactions on Power Electronics and regularly reviews for leading journals and conferences in the field. His work demonstrates consistent contributions to advancing power electronic systems through rigorous theoretical analysis combined with practical implementation. Biela has supervised numerous doctoral and master's students, with recent publications indicating active mentorship of researchers working on advanced power electronic components and systems. His laboratory at ETH Zurich serves as a hub for innovation in high-power electronics, with connections to industry research projects that translate theoretical advances into practical applications. Current research directions include developing cost-effective alternatives to traditional components like Litz wire, improving insulation systems for high-voltage applications, and creating more accurate models for predicting thermal and electromagnetic behavior in power electronic systems.

Tsun-Ming Tsengمشاهده پروفایل

استاد

• Microfluidic Large-Scale Integration
• Optical Network-on-Chip
• Microfabrication
• +۳ مورد دیگر

Tsun-Ming Tseng is a Professor and principal investigator at the Chair of Electronic Design Automation at the Technical University of Munich (TUM). He leads the Emerging Technology Group and oversees multiple DFG/BMBF-funded research projects in the areas of microfluidic large-scale integration, optical network-on-chip design, and novel microfabrication techniques. Dr. Tseng's research focuses on design automation for emerging technologies, with particular expertise in three main areas: microfluidic large-scale integration, optical network-on-chip systems, and novel microfabrication processes. His work bridges the gap between electronic design automation and cutting-edge applications in bioengineering, photonics, and advanced manufacturing. His research group develops sophisticated algorithms and tools for optimizing design, reliability, and performance in these emerging domains. Analysis of Dr. Tseng's recent publications reveals a strong focus on practical implementation challenges in emerging technologies. His work spans both theoretical algorithm development and practical system implementation, with particular emphasis on reliability, performance optimization, and manufacturing considerations. The research shows increasing integration between different technology domains, particularly the convergence of microfluidics, optical networking, and electronic design automation. Dr. Tseng has been awarded multiple significant research grants including: "DE-TW-CloudWRONoC" (BMBF-NSTC project, PI, 2025-2028, EUR 797.7K) "DE-TW-PI3D" (BMBF-NSTC project, PI, 2024-2027, EUR 391.6K) "Physical Design for Microfluidic Large-Scale Integration" (DFG research grant, PI, 2024-2026, EUR 331.9K) Multiple other DFG and industrial projects totaling over EUR 3 million in funding He has successfully supervised numerous doctoral researchers and postdoctoral fellows, with current group members including Jiahui Peng, Debraj Kundu, Liaoyuan Cheng, and several others. Dr. Tseng leads the Emerging Technology Group at TUM, which focuses on developing design automation methodologies for next-generation technologies. The group maintains strong collaborations with international institutions, including partnerships with researchers in Taiwan and Hong Kong. The team operates state-of-the-art facilities for research in microfluidics, optical networking, and advanced microfabrication techniques.

Michael Rubinsteinمشاهده پروفایل

استاد

• Polymer Theory
• Computer Simulations
• Polymer Entanglements
• +۶ مورد دیگر

Michael Rubinstein is the Aleksandar S. Vesic Distinguished Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University. He also holds professorships in Physics, Biomedical Engineering, and Chemistry. His research spans polymer theory, computer simulations, and the application of these principles to biological systems, particularly mucus biophysics. Dr. Rubinstein earned his Ph.D. from Harvard University in 1983. His educational background in polymer physics has formed the foundation for his extensive research career spanning several decades. Dr. Rubinstein's research focuses on developing simple physical models of soft matter and biological systems ranging from polymeric elastomers and gels to extracellular matrix and mucus in human lungs. His work encompasses several key areas: Mucus Research: Investigating airway surface layer properties and their relationship to respiratory diseases like cystic fibrosis Polymer Entanglements: Studying the dynamics of entangled polymers including ring-linear blends and bottle-brush polymers Reversible Networks: Developing theories for interpenetrating elastomers and gels with both permanent and reversible components Charged Polymers: Extending scaling theory to describe complexes of oppositely charged polymers Analysis of Dr. Rubinstein's recent publications (2023-2025) reveals a strong focus on advanced polymer systems with applications in biomedicine and materials science. His work bridges fundamental polymer physics with practical applications, particularly in understanding mucus biophysics for respiratory diseases and developing novel polymer networks with self-strengthening and adaptive properties. Key themes include chromatin organization, hydrogel mechanics, fracture behavior in polymer networks, and topological constraints in ring polymers. Dr. Rubinstein has received several notable awards including the Nelson W. Taylor Award from Penn State University (2022), a University Distinguished Professorship from Duke University (2020), and recognition from the Royal Society of Chemistry (2019). Dr. Rubinstein leads an active research group (the Rubinstein Lab) that extensively collaborates with experimental, computational, and theoretical groups at Duke and worldwide. His lab combines theoretical modeling, computer simulations, and experimental validation to advance understanding of soft matter systems. While specific grant information isn't detailed in the provided text, his numerous high-impact publications suggest substantial research funding supporting his work. The Rubinstein Lab focuses on several interconnected research thrusts including mucus biophysics, self-assembly of amphiphilic systems, reversible networks and gels, polymer entanglements, and charged polymer systems. The lab employs a multi-pronged approach combining theoretical modeling, computer simulations, and experimental collaborations to develop fundamental understanding of soft matter systems with applications to biomedical challenges.

Jason Ostanekمشاهده پروفایل

استادیار

• Energy Storage
• Turbulence
• Heat Transfer
• +۵ مورد دیگر

Jason Ostanek is an Assistant Professor at Purdue University's School of Engineering Technology and Environmental and Ecological Engineering. He directs the Applied Thermofluids Laboratory and Powertrain Technology Laboratory, focusing on battery safety and thermal management systems. Ph.D. in Mechanical Engineering from Penn State M.S. in Mechanical Engineering from Penn State B.S. in Mechanical Engineering from Virginia Tech His research explores energy storage systems, thermal runaway phenomena, heat transfer mechanisms in Li-ion batteries, fluid dynamics, and internal combustion engine thermal management. He has developed analytical models for battery degradation, thermal abuse simulations, and innovative cooling strategies for large-scale energy systems. Key publication trends show expertise in: Li-ion battery thermal runaway modeling Heat transfer in confined geometries Thermal management for energy storage systems Renewable energy forecasting Computational fluid dynamics applications Scientific awards include: 2020 Purdue Teaching Academy's Award for Exceptional Teaching and Instructional Support during the COVID-19 Pandemic 2020 SOET Outstanding Faculty in Engagement 2019 SOET Outstanding Faculty in Discovery 2015 NAVSEA Commander’s Award for Innovation 2013 ASME IGTI Young Engineer Travel Award 2007 DOD SMART Fellowship Recipient As director of Purdue's Applied Thermofluids Laboratory, he leads research on battery safety mechanisms, combustion dynamics, and thermal systems optimization. His work spans fundamental and applied research with industrial collaborators.

Heikki Remesمشاهده پروفایل

دانشیار

• Marine Engineering
• Structural Engineering
• Fatigue and Fracture Mechanics
• +۳ مورد دیگر

Heikki Remes serves as Associate Professor in the Department of Energy and Mechanical Engineering at Aalto University's School of Engineering, where he investigates high-performance steel structures for marine environments with emphasis on lightweight ship designs using advanced materials and manufacturing techniques. His research integrates fundamental fatigue and fracture mechanics with practical structural challenges, spanning from crystal-level material behavior to continuum-scale modeling. Key focus areas include welded joint integrity, additive manufacturing defects, and computational analysis of marine structures under extreme conditions. Recent publications reveal strong trends in fatigue assessment methodologies for complex welded geometries, experimental validation of distortion effects, and AI-enhanced damage prediction systems, reflecting his commitment to bridging theoretical mechanics with shipbuilding applications. Scientific Awards: Aalto Education Impact Award (2018) for establishing Marine Technology study programs SNAME Honorable Mention for 2018 Vice Admiral E. L. Cochrane Award Teaching Award of Aalto School of Engineering (2012) for educational tools No specific student advising or grant information appears in available sources, though his active publication record indicates ongoing research leadership. He contributes significantly to the Marine and Arctic Technology research group, driving projects on structural integrity assessment and advanced manufacturing solutions for next-generation marine vessels.

Hamidreza Karamiمشاهده پروفایل

دانشیار

• Production Engineering
• Multiphase Flow
• Artificial Lift
• +۳ مورد دیگر

Hamidreza Karami is an Associate Professor in the School of Petroleum and Geological Engineering at the University of Oklahoma. His research focuses on multiphase flow, production engineering, artificial lift, and flow assurance, with applications in unconventional wells, geothermal systems, and hydrogen transportation. BSc, Petroleum Engineering, Sharif University of Technology (2009) MSc, Petroleum Engineering, The University of Tulsa (2011) PhD, Petroleum Engineering, The University of Tulsa (2015) Karami's work combines experimental and computational fluid dynamics (CFD) with machine learning to address challenges in gas lift, downhole separators, well cleanout, and leak detection. Recent publications emphasize data-driven modeling of multiphase flow systems and optimization of artificial lift methods. His lab at the University of Oklahoma investigates advanced technologies for flow assurance, including paraffin and asphaltene deposition, foam lifting, and surfactant applications. Collaborative projects involve Tulsa University Fluid Flow Projects (TUFFP) and industry stakeholders.

Amir Bahadoriمشاهده پروفایل

استاد

• Radiation Protection
• Radiation Transport
• Radiation Dosimetry
• +۵ مورد دیگر

Amir Bahadori serves as Professor and Nuclear Engineering Program Director in the Department of Mechanical and Nuclear Engineering at Kansas State University's Carl R. Ice College of Engineering, holding the Hal and Mary Siegele Professorship in Engineering. He directs the Radiological Engineering Analysis Laboratory (REAL) and established the Institute for Radiation Health Studies (IRHS) in 2024, focusing on radiation protection, space radiation environments, and radiation health effects. His educational background includes: Ph.D. in Biomedical Engineering, University of Florida (2012) M.S. in Nuclear Engineering Sciences, University of Florida (2010) B.S. in Mechanical Engineering and Mathematics, Kansas State University (2008) Bahadori's research spans radiation transport modeling, dosimetry, and risk assessment with applications in space exploration, medical physics, and radiation epidemiology. He develops computational frameworks for radiation exposure scenarios and biological response prediction, emphasizing space radiation protection for Artemis missions and chronic exposure studies through the Million Person Study collaboration. Analysis of his recent publications reveals dominant themes in space radiation measurement (Artemis missions), radiation epidemiology (Million Person Study innovations), and advanced detection systems (miniaturized neutron spectrometers). His work increasingly integrates big data approaches for radiation risk assessment and electrostatic shielding concepts for deep-space exploration. His scientific recognition includes: NASA Graduate Student Research Fellowship (2009) Certified Health Physicist designation Big 12 faculty fellowship (2022-2023) NCRP council election (2024) Two USPTO patents Bahadori secures substantial research funding from NASA for space radiation instrumentation, Department of Energy projects via the Kansas City National Security Campus, and collaborative epidemiological studies. He mentors nuclear engineering graduate students while leading interdisciplinary teams developing radiation protection solutions for aerospace and medical applications. His laboratory infrastructure includes the REAL with Beocat high-performance computing resources, radiation detectors, and a 3D printer, plus the IRHS with a Precision X-ray XRad320 irradiator and radon chamber. These facilities support collaborations across K-State colleges and external organizations for radiation health effect studies.

Mahroo Eftekhariمشاهده پروفایل

استاد

• Building Energy Management Systems
• HVAC Systems Optimization
• Thermal Comfort Modeling
• +۵ مورد دیگر

Professor Mahroo Eftekhari is a Professor in Building Services Engineering at Loughborough University, leading the Low Energy Building Services Engineering MSc programme. Her research focuses on energy-efficient building systems, thermal comfort, HVAC optimization, and renewable integration. She has pioneered control systems for airports and buildings, including MPC-based strategies to reduce energy use while enhancing occupant well-being. Notable contributions include the development of BISPA (Building & Industrial Services Pipework Academy), a national center for BIM and pipework training. Education: Holds qualifications including CEng (Chartered Engineer), DPhil (Doctor of Philosophy), FCIBSE (Fellow of Chartered Institution of Building Services Engineers), and SFHEA (Senior Fellow of the Higher Education Academy). Her academic career is marked by collaborations with Tata Steel, Mitsubishi R&D, and Vexo, yielding applied research in sustainable building technologies. Research Interests: Indoor Air Quality, Thermal Comfort Modeling, Zero Energy Buildings, Digital Twins, and Advanced Control Systems. She has developed innovative solutions like AI-driven thermal management for Building Energy Management Systems (BEMS) and interfaces to synchronize airport operations with energy systems. Awards & Grants: Secured funding from diverse bodies for projects such as adaptive thermal comfort models, BISPA infrastructure, and energy-efficient HVAC strategies. Her work emphasizes practical applications, including reducing CO₂ emissions via airport terminal optimization and improving renewable energy use in buildings. Lab & Teams: Leads the Building Energy Research Group, managing projects in closed-loop heating systems, IEQ monitoring, and hydronic system efficiency. The Civil Engineering labs house interactive BIM rigs launched with institutional and industry support.

Monica Olvera de la Cruzمشاهده پروفایل

استاد

• Polymer Science
• Soft Materials
• Condensed Matter Physics
• +۵ مورد دیگر

Monica Olvera de la Cruz is the Lawyer Taylor Professor of Materials Science and Engineering, Chemistry, and Chemical & Biological Engineering at Northwestern University, with a courtesy appointment in Physics and Astronomy. She directs the Center for Computation & Theory of Soft Materials and serves as Deputy Director of the Center for Bio-Inspired Energy Science. Her research focuses on designing responsive materials, including polymers, electrolytes, and complex fluids, with applications in biotechnology and energy. She holds a Ph.D. from Cambridge University (1985) and a B.A. from UNAM (Mexico). Her research interests include self-assembly of heterogeneous molecules, ionic-driven assembly mechanisms, and functional materials design. Recent work highlights include modeling electrostatic effects in biomimetic systems and exploring superionic conductors. Awards include National Academy of Sciences membership (2012), APS Polymer Prize (2017), and American Philosophical Society membership (2020). Professional service roles: Gordon Research Conferences Board, DOE Basic Energy Sciences, Max Planck Institute advisory board Led over 150 publications since 2020, emphasizing soft matter physics and materials innovation Her group's innovations bridge theoretical physics and applied materials science, with notable achievements in bio-inspired materials and electrochemical systems.

Beth Anne Bennettمشاهده پروفایل

مدرس ارشد

• Combustion Phenomena
• Fluid Dynamics
• Heat Transfer
• +۴ مورد دیگر

Beth Anne Bennett is a Senior Lecturer in the Department of Mechanical Engineering at Yale University. Her research focuses on computational methods for solving complex fluid dynamics and combustion problems, particularly involving adaptive grid refinement techniques for nonlinear PDEs. She holds a Ph.D. from Yale University, where her doctoral work centered on developing efficient numerical algorithms for multidimensional combustion phenomena. Her research interests include laminar combustion, fluid dynamics, heat transfer, and solidification processes. She has pioneered solution-adaptive gridding techniques like Local Rectangular Refinement (LRR) for both nonreacting and reacting flows, with applications to steady and unsteady multidimensional systems. Bennett has been recognized with the National Science Foundation ADVANCE Fellows Award (2002-2006). Her publications span computational studies of ethanol/dimethyl ether blending effects in flames, oxygen-enhanced methane flames, and axisymmetric coflow flames. She actively contributes to professional societies including The Combustion Institute, ASME, SIAM, ASEE, and SWE. Her work integrates computational innovation with experimental validation, addressing challenges in parallelization, sparse matrix treatments, and algorithm optimization for convection-diffusion problems. Bennett's research bridges fundamental numerical methods and applied combustion engineering, advancing both theoretical frameworks and practical applications in energy systems.

• Offshore Renewable Energy
• Marine Engineering
• Coastal Structural Design
• +۳ مورد دیگر

Dr. Rameeza Moideen is a Researcher at the University of Edinburgh's School of Engineering, affiliated with the Energy Systems Research Institute. Her work focuses on offshore renewable energy infrastructure, coastal structural resilience, and fluid-structure interaction dynamics. Research Interests Her research spans vortex-induced vibrations in marine power cables, extreme wave impacts on coastal decks, and climate change adaptation for port infrastructure. She applies advanced numerical simulations to analyze hydrodynamic forces, structural stresses, and material degradation mechanisms. Key Research Trends Recent work emphasizes lazy wave dynamic cables under varying currents (2025), focused wave impacts on bridge decks (2023-2021), and marine growth effects on tubular structures (2021). These studies combine computational modeling with real-world climate scenarios to improve offshore energy systems and coastal infrastructure durability. Awards & Grants No specific awards or grants mentioned in available texts. Research is likely funded through institutional and collaborative projects within the Energy Systems Institute. Labs & Teams Active within the Energy Systems Research Institute at Edinburgh, collaborating on offshore renewable energy projects and coastal engineering initiatives.

• Colloid Science
• Biotechnology
• Atomic Force Microscopy (AFM)
• +۵ مورد دیگر

Professor Paul Luckham is a leading academic in the Department of Chemical Engineering at Imperial College London , holding the title of Professor in Particle Technology . He is affiliated with the Centre for Doctoral Training (CDT) in Chemical Biology and the Institute of Chemical Biology Materials Laboratory , where he contributes as a supervisor. Education : PhD in Physical Chemistry (University of Bristol, 1980), BSc in Chemistry (University of Bristol, 1978). Research Interests focus on controlling suspension properties through particle interactions using atomic force microscopy (AFM) and molecular dynamics simulations. His work spans rheology , polymer adsorption , and cell/protein adhesion to surfaces, with applications in oil & gas, environmental science, and materials engineering. Recent Publications highlight studies on shake gels , polymer-calcite systems , viscoplastic fluid mixing , and environmental impact modeling . These works emphasize nanoindentation , scattering techniques , and multiscale characterization . Professional Experience includes roles as Professor (1996–present), Reader (1992–1996), and Lecturer (1983–1992) at Imperial College London, and a Research Associate at the Cavendish Laboratory, Cambridge University (1981–1983). Labs & Teams : Associated with the Materials Laboratory at Imperial College, focusing on AFM-based particle interaction measurements and polymer retention mechanisms.

Li Songمشاهده پروفایل

استاد

• Building Energy System Optimization
• HVAC System Fault Detection
• Energy Efficiency Technology
• +۳ مورد دیگر

Li Song is a Professor and holds the Lesch Centennial Chair & Lloyd G. and Joyce Austin Presidential Professor at the University of Oklahoma's Aerospace & Mechanical Engineering Department. He leads the Building Energy Efficiency Lab and serves as AME Associate Director for Research. His expertise spans building energy systems, HVAC optimization, and fault detection technologies. Education: Ph.D. (Thermal/Fluid Science, 2004) from University of Nebraska-Lincoln; M.S. (Thermal/Fluid Science, 1996) from Harbin Institute of Technology; B.S. (Thermal Energy Systems, 1993) from Shengyang University of Civil Engineering and Architecture. Research focuses on energy-efficient HVAC systems, fault detection algorithms, and building performance analytics. Notable contributions include the ULEM-FDD system for high-performance buildings and virtual sensor technologies for airflow/water flow measurement. Awards include the ConocoPhillips Energy Prize (2011 finalist) and Bes-Tech Innovation Award (2006). Publications emphasize HVAC control strategies, energy modeling, and IoT-enabled diagnostics. Courses taught include Thermodynamics, Energy Efficient Building Systems Design, and HVAC Systems Engineering.

Yongjie Jessica Zhangمشاهده پروفایل

استاد

• Finite Element Method
• Isogeometric Analysis
• Image-Based Geometric Modeling
• +۵ مورد دیگر

Dr. Yongjie Jessica Zhang is a Professor at Carnegie Mellon University, holding appointments in both the Department of Mechanical Engineering and the Department of Biomedical Engineering . She received her B.S. and M.S. in Engineering Mechanics from Tsinghua University, followed by an M.S. in Aerospace Engineering and a Ph.D. in Computational Engineering and Sciences from the University of Texas at Austin. After a postdoctoral fellowship at ICES, she joined CMU in 2007, advancing from assistant to full professor by 2016. Research Interests : Image-based geometric modeling, mesh generation, finite element analysis (FEA), isogeometric analysis, and applications in computational biomedicine, materials science, and computer-assisted surgery. Leadership Roles : Chair of Solid Modeling Association (2019-2020), USACM Executive Committee Member-at-Large (2017-2021), and ELATE Fellow (2017-2018). Her work addresses the critical challenge of automating high-fidelity geometric modeling and mesh generation for complex domains (e.g., human anatomy), which traditionally consumes ~80% of FEA time. Her group develops AI-driven methods for multiscale modeling (molecular to organ), with applications in neuroscience , biomechanics , and 4D printing . Notable awards include the Presidential Early Career Award (PECASE) , NSF CAREER Award , and ASME Van C. Mow Medal (2025) . Dr. Zhang’s publications span over 170 peer-reviewed articles, focusing on truncated hierarchical B-splines , polycube meshing , and neurite transport modeling . She has advised more than 40 students, including PhD candidates and postdoctoral fellows. Her editorial roles include Associate Editor of Computer Aided Geometric Design and editorial board memberships in Computer-Aided Design and Engineering with Computers .

• Materials Science
• Geotechnical Engineering
• X-ray Computed Tomography
• +۵ مورد دیگر

Dr Yulai Zhang is a researcher in the Department of Materials Physics at the Australian National University . His work focuses on advanced imaging techniques for material and geological analysis. Expertise: X-ray micro-computed tomography (μCT), pore-scale and multiscale modeling, coal seam and ore characterization Collaborations: International partnerships in coal bed methane, mineral liberation, and rock failure analysis His research applies 4D/X-ray tomography to study dynamic processes in copper ores, shale, and coal, including fragmentation, diffusion, and fracture networks. Recent publications highlight innovations in super-resolution imaging , feature extraction methods , and in-situ studies of mineral behavior under stress. Dr Zhang actively supervises students and contributes to ore beneficiation, CO2 geo-sequestration, and unconventional reservoir characterization. Collaborative projects involve institutions in Australia and Indonesia, with a focus on digital rock physics and microstructural evolution .