جست‌وجوی استاد و پژوهشگر

• Emergency Medicine
• Urgent Care Systems
• Health Services Research
• +۴ مورد دیگر

Suzanne Mason is a Professor of Emergency Medicine at the School of Medicine and Population Health , University of Sheffield, and a Consultant in Emergency Medicine at Sheffield Teaching Hospitals Trust. Her career spans over three decades, with a focus on evaluating complex interventions in urgent and emergency care, particularly for older adults and frail populations. Education: MBBS (1990), FRCS, FFAEM, MD (Emergency Medicine) Key Research Areas: Emergency care systems, clinical decision-making, geriatric emergency care, health informatics, and multi-centre mixed-methods studies Her research has directly influenced emergency care delivery, including studies on exit block in EDs , trauma networks , and digital ambulance records . She has led major projects such as Connected Health Cities (2016–2018) and RADOSS (risk prediction for seizures). Grants include £1.4 million from NIHR and £692,206 from the Department of Health . Scientific awards include an MD from Royal College of Surgeons Research Fellowship and leadership roles in NIHR-funded initiatives . She has pioneered collaborative models for ambulance services , care home integration , and frailty screening in EDs. Her work bridges clinical practice, policy evaluation, and digital innovation, with over 150 publications and mentorship in BMJ Open and Emergency Medicine Journal editorials.

Daniel Valleroمشاهده پروفایل

استاد مدعو

• Environmental Engineering
• Air Pollution
• Climate Change
• +۵ مورد دیگر

Daniel Vallero is an Adjunct Professor in the Department of Civil and Environmental Engineering at Duke University . He holds a Ph.D. from Duke (2000) , an M.S. from the University of Kansas (1996) , and a B.A. from Southern Illinois University (1974) . His career spans environmental engineering, exposure assessment, and climate change adaptation, with affiliations including North Carolina Central University (2012-2013) as Associate Professor. Education B.A., Southern Illinois University, 1974 M.S., University of Kansas, 1996 Ph.D., Duke University, 2000 Key Research Areas Environmental systems science Air pollution modeling and control Hazardous waste bioremediation Climate change governance Exposure-based chemical prioritization Biogeochemical cycling under climate stress Publication Trends Focus on PFAS exposure pathways , climate adaptation strategies , and pollutant fate in ecosystems Recent work includes high-throughput exposure models and environmental justice in global warming Scientific Awards Federal Honor Awards (2025) from the U.S. EPA Jeffrey B. Taub Award (1999) at Duke University Notable Contributions Authored Air Pollution Calculations and Environmental Systems Science Developed exposure prioritization tools like Ex Priori Post-9/11 environmental contamination studies in New York City

Jeff Derbyمشاهده پروفایل

استاد

• Transport Phenomena
• Advanced Material Processing
• Numerical Simulations
• +۹ مورد دیگر

Jeff Derby is a Professor at the University of Minnesota within the College of Science and Engineering , affiliated with the Department of Chemical Engineering and Materials Science . He leads the Derby Group , focusing on computational modeling of materials processing. His research integrates transport phenomena , phase change , and reaction dynamics to advance crystalline material growth techniques. Contact: derby@umn.edu | 612/625-8881 | 239 Amundson Hall, 421 Washington Avenue SE, Minneapolis, MN 55455 Research Interests span nonlinear phenomena in crystal growth , microstructure evolution , defect formation , and high-pressure growth processes for semiconductors (e.g., II-VI crystals), silicon, sapphire, and diamond substrates. His group develops open-source computational tools to model incompressible fluid dynamics , heat/mass transfer , and radiation heat transfer . Scientific Awards : Distinguished McKnight University Professor Labs & Collaborations : The Derby Group collaborates with experimental teams to validate simulations and optimize materials processing across applications in semiconductors , photovoltaics , and optical systems .

Curt von Keyserlingkمشاهده پروفایل

دانشیار

• Quantum Many-Body Systems
• Topological Phases of Matter
• Quantum Information Theory
• +۴ مورد دیگر

Dr. Curt von Keyserlingk is a Reader (equivalent to Associate Professor) in theoretical physics at King's College London, based in the Theory & Simulation of Condensed Matter Group within the Department of Physics, Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on understanding complex quantum systems through both analytical and numerical approaches. His educational background includes an MMath from the University of Cambridge, followed by DPhil studies at the University of Oxford under Professor Steve Simon. Prior to his current position at King's, he held a postdoctoral research fellowship at the Princeton Center for Theoretical Science and was a lecturer at the University of Birmingham. Dr. von Keyserlingk's research centers on interacting quantum systems, studying exotic phenomena such as superconductivity, topological order, localization, and time crystallinity. His work bridges the gap between fundamental quantum mechanics and practical applications in quantum computing. He develops both analytical frameworks and numerical tools to understand how quantum systems evolve and behave under various conditions, with particular emphasis on non-equilibrium dynamics, quantum information processing, and topological phases of matter. His recent publications reveal a strong focus on quantum many-body systems, with particular attention to topological phases in three dimensions, operator dynamics in quantum systems, and the interplay between dissipation and quantum information. His work spans from fundamental theoretical questions about quantum thermalization to practical applications in quantum error correction and quantum computing architectures. Dr. von Keyserlingk is the recipient of a prestigious UKRI Future Leaders Fellowship, which supports his research on robust many-body quantum phenomena. His current projects include 'Robust Many-body Quantum Phenomena Through Driving And Dissipation' (2025-2028) and 'Robust many-body Quantum phenomena through Driving and Dissipation' (2022-2025). He actively supervises PhD students and runs the physics intercollegiate programme between King's College London and Royal Holloway, University of London. His research group focuses on developing new theoretical frameworks to understand quantum systems that could potentially be harnessed for quantum computing applications.

Carolyn Conner Seepersadمشاهده پروفایل

استاد

• Design for Additive Manufacturing
• Engineering Design
• Additive Manufacturing
• +۴ مورد دیگر

Carolyn Conner Seepersad serves as the J. Mike Walker Professor of Mechanical Engineering at the University of Texas at Austin and directs the Center for Additive Manufacturing and Design Innovation. She holds membership in the U.T. System Academy of Distinguished Teachers and maintains active leadership in the additive manufacturing community through roles such as co-organizer of the Solid Freeform Fabrication Symposium and ASME Design Engineering Division Executive Committee membership. Her academic credentials include: PhD in Mechanical Engineering from Georgia Tech (2004) MA/BA in Philosophy, Politics and Economics from Oxford University (1998, Rhodes Scholar) BS in Mechanical Engineering from West Virginia University (1996) Dr. Seepersad's research centers on computational design methodologies and additive manufacturing innovation , with particular expertise in simulation-based design of complex systems, environmentally conscious product development, and materials engineering. Her work bridges theoretical design frameworks with practical manufacturing applications, emphasizing sustainability and performance optimization across aerospace, automotive, and energy systems. Current projects explore reactive extrusion additive manufacturing, negative stiffness materials, and machine learning integration for process-aware design. Analysis of her 15 most recent publications reveals a dominant focus on process innovation in additive manufacturing (70%), particularly stereolithography and selective laser sintering, with growing emphasis on data-driven design approaches (20%) and sustainable engineering applications (10%). Her work demonstrates consistent progression from fundamental material design toward integrated system optimization and industrial scalability. Her scientific recognition includes: International Outstanding Young Researcher Award in Freeform and Additive Manufacturing (2009) UT System Regents’ Teaching Award (2010) ASME Design Automation Committee Outstanding Young Investigator Award (2010) ASEE Outstanding New Mechanical Engineering Educator Award (2013) Multiple ASME and ASEE best paper awards U.T. System Academy of Distinguished Teachers membership Dr. Seepersad maintains an extensive advising portfolio with 48 graduate students (16 PhD, 24 MS, and 8 current) plus 2 postdoctoral researchers, reflecting sustained research productivity and educational impact. Her Product, Process, and Materials Design Lab fosters interdisciplinary collaboration between mechanical engineering, materials science, and computational design teams.

• Semiconductor Physics
• Microwave Engineering
• Cryogenic Electronics
• +۳ مورد دیگر

Niklas Rorsman is a Research Professor at the Microwave Electronics group, part of the Department of Microtechnology and Nanoscience at Chalmers University of Technology . His work focuses on advanced semiconductor devices, particularly gallium nitride (GaN) and silicon carbide (SiC) high-electron-mobility transistors (HEMTs) for microwave and cryogenic applications. Expertise : Semiconductor device physics, microwave electronics, cryogenic transistor characterization Key Technologies : GaN HEMTs, SiC MESFETs, graphene FETs Rorsman's research investigates trapping effects, thermal management, and material optimization in GaN/SiC devices. Recent studies explore field plates for cryogenic stability, recessed ohmic contacts, and high-κ dielectric interfaces. His publications demonstrate a focus on improving device linearity, noise performance, and reliability through structural and process innovations. Selected trends in his work include: Cryogenic GaN HEMTs with superconducting Nb gates Buffer-free AlGaN/GaN heterostructures for high breakdown voltage Graphene integration for millimeter-wave communication systems Advanced SiNx passivation and gate stack engineering Contact: niklas.rorsman@chalmers.se

Seyed Mojtaba Hoseyniمشاهده پروفایل

مدرس

• Process Safety
• Hydrogen Safety
• Risk Assessment
• +۶ مورد دیگر

Dr. Seyed Mojtaba Hoseyni is a Lecturer in Process Safety and Loss Prevention at the School of Chemical, Materials and Biological Engineering, University of Sheffield. Previously a Postdoctoral Research Associate at the same institution (2022-2024), he holds a PhD in Energy Engineering from Politecnico di Milano (2021). His research focuses on enhancing system resilience, risk assessment, and decision-making under uncertainty in engineering systems, particularly for decarbonization applications. Royal Academy of Engineering Global Talent (Exceptional Promise) in Chemical and Process Engineering His work spans hydrogen safety, climate change risk, nuclear engineering safety, and predictive maintenance. Recent publications emphasize integrating resilience metrics into HAZOP analysis and optimizing sensor placement for risk-informed decision-making. Teaching activities include the Hazards and Protections module (CPE61020). Specializes in RAMS (Reliability, Availability, Maintainability, and Safety) analysis Develops safety frameworks for hydrogen energy systems Applies advanced computational techniques to nuclear and industrial safety

Christian Engwerمشاهده پروفایل

استاد

• Partial Differential Equations
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

Christian Engwer is a full Professor at the University of Muenster in the Institute for Applied Mathematics, specializing in Analysis and Numerics. He leads the Engwer Group focused on Applications of Partial Differential Equations and is actively involved in the Cells in Motion initiative as a supervisor in the CiM-IMPRS Graduate Programme. His research centers on developing numerical methods for partial differential equations, particularly addressing challenges in complex geometries and multi-physics applications. He specializes in Unfitted Discontinuous Galerkin methods, which allow simulations on complex geometries without requiring domain-fitted meshes. His work spans porous media modeling, biological systems, and bioelectromagnetism applications, with significant contributions to EEG/MEG forward modeling in neuroscience. Analysis of his recent publications reveals a strong focus on model order reduction techniques, stabilized numerical schemes for cut-cell meshes, and applications in bioelectromagnetism. His work demonstrates a consistent trajectory toward developing robust, efficient numerical methods applicable to real-world problems in medical imaging and biological modeling, with increasing emphasis on high-performance computing implementations. Professor Engwer actively supervises doctoral students, with recent completions including Lukas Renelt (2025), Michael Wenske (2021), and Maria Carla Piastra (2019), among others working on topics related to numerical methods and biomedical applications. He leads several major research projects including BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG Imaging (NIH-funded since 2019), multiple EXC 2044 Cluster of Excellence projects through 2025, and the InterKI interdisciplinary teaching program on machine learning and artificial intelligence. His group develops several important software packages including DUNE (Distributed and Unified Numerics Environment), duneuro (for bioelectromagnetism applications), and TPMC (Topology Preserving Marching Cubes). These tools support research in numerical methods and their applications to complex scientific problems.

• Food Engineering
• Thermal Engineering
• Biophysics
• +۳ مورد دیگر

Thijs Defraeye is a Senior Scientist at Empa (Swiss Federal Laboratories for Materials Science and Technology) and Adjunct Professor at Dalhousie University. He holds a PhD in Building Physics from KU Leuven (2011) and a Master's in Civil Engineering (2006). His work focuses on optimizing food supply chains through multiphysics simulations and digital twins, addressing challenges in refrigerated transport, postharvest quality preservation, and energy-efficient food processing. He leads the SimBioSys group, developing solutions for perishable goods logistics and electrohydrodynamic technologies. Research interests include: Biophysics of food systems Digital twin applications in agriculture Electrohydrodynamic drying Thermal management in cold chains Sustainable food technologies Recent work emphasizes reducing food loss through physics-based modeling of refrigerated containers, ventilated packaging optimization, and scalable evaporative cooling systems. His studies bridge engineering principles with biological processes, aiming to enhance global food security and environmental sustainability.

Fabrizio Marinelliمشاهده پروفایل

دانشیار

• Biophysics
• Molecular Simulation
• Membrane Transport
• +۳ مورد دیگر

Fabrizio Marinelli is an Associate Professor of Biophysics and Data Science at the Medical College of Wisconsin (MCW), effective July 2025, and holds an adjunct senior investigator position at the Versiti Blood Research Institute. He previously served as a staff scientist at the National Heart, Lung, and Blood Institute (NHLBI/NIH) and conducted postdoctoral research at the Max Planck Institute of Biophysics and NIH. Educational background includes a PhD in Statistical and Biological Physics from the International School for Advanced Studies (Trieste, Italy), an MS in Chemistry from La Sapienza University (Rome), and postdoctoral training in molecular biophysics. His research focuses on computational modeling of molecular mechanisms in membrane transport, signaling, and morphological changes, integrating advanced simulation techniques with experimental data (e.g., EPR/DEER, HDX-MS, cryo-EM). Key methodologies include enhanced sampling methods, free-energy calculations, and machine learning. Research highlights include elucidating mechanisms of Na+/Ca2+ exchangers, ion selectivity in lysosomal K+ channels, and structural interpretation of DEER and HDX data. He leads the Biophysics Graduate Program’s recruitment efforts and actively collaborates with experimental labs to bridge theory and experiment. Lab members include postdocs William Brown and Sandra Byju, and graduate student Tyler Trask. Publications emphasize computational tools (e.g., PLUMED, Colvars library) and reproducibility in molecular simulations. His work aims to advance therapies for infectious diseases, drug resistance, and cancer through mechanistic insights into proteins and membranes.

Prineha Narangمشاهده پروفایل

استاد

• Quantum Materials
• Quantum Information Science
• Non-Equilibrium Dynamics
• +۷ مورد دیگر

Dr. Prineha Narang is a Professor of Physical Sciences and Electrical and Computer Engineering at the University of California, Los Angeles (UCLA). Previously, she held positions as an Assistant Professor at Harvard University and a Research Scholar at MIT. Her research focuses on quantum materials, quantum information science, and non-equilibrium dynamics, with interdisciplinary contributions to photonics, topological materials, and cavity quantum electrodynamics (QED). She leads the Narang Lab, which develops theoretical and computational methods to design quantum systems and explores applications in quantum networks and energy conversion. Dr. Narang has held leadership roles in major initiatives such as the DOE Quantum Science Center and the NSF Center for Quantum Networks. She is also the founder and CTO of Aliro Quantum, a company advancing quantum networking technologies. Education: M.S. and Ph.D. in Applied Physics from the California Institute of Technology (Caltech). Her work has been recognized with prestigious awards, including the Mildred Dresselhaus Prize, NSF CAREER Award, and being named a Moore Inventor Fellow. She serves on editorial boards for journals like ACS Nano and Applied Physics Letters , and chairs international conferences. Outside academia, she advises organizations like arXiv and actively engages in promoting quantum technologies through industry collaborations. Research Interests: Quantum materials engineering, quantum networks, non-equilibrium phenomena, topological quantum states, and quantum defect physics. Current projects include designing scalable quantum repeaters, developing error-corrected quantum systems, and studying light-matter interactions in novel materials. Her lab’s SpaRTaNS code enables spatially-resolved transport simulations, advancing understanding of electron and phonon dynamics. Awards and Grants: Over 20 major awards, including the Guggenheim Fellowship (2023), ONR Young Investigator Award (2022), and leadership roles in DOE and NSF-funded centers. Her work bridges academia and industry, with partnerships at companies like Applied Materials and Northrop Grumman.

Kenneth S Schweizerمشاهده پروفایل

استاد

• Statistical Mechanics
• Soft Materials
• Complex Fluids
• +۵ مورد دیگر

Professor Kenneth S Schweizer is the G. Ronald and Margaret H. Morris Professor of Materials Science and Engineering, and holds concurrent professorships in Chemistry, Chemical and Biomolecular Engineering, and the Materials Research Laboratory at the University of Illinois at Urbana-Champaign (UIUC). He earned his B.S. (summa cum laude) from Drexel University and his Ph.D. in Physics from UIUC. His research focuses on statistical mechanics of soft materials, including polymers, colloids, and complex fluids, with emphasis on their thermodynamics, phase transitions, and nonlinear rheology. Key contributions include theories of glass transition dynamics, nanoparticle-polymer suspensions, and vitrimer networks. Schweizer has received prestigious awards such as the American Academy of Arts and Sciences membership (2021), APS Polymer Physics Prize (2008), and Hildebrand Award (2016). He has led major NSF-funded initiatives, including the Nanoscale Science and Engineering Center for Directed Assembly of Nanostructures. His work bridges fundamental theory and practical material design, addressing challenges in energy storage, biomaterials, and nanotechnology. Research interests span structural organization in soft materials, dynamic arrest phenomena, and the interplay between thermodynamics and relaxation processes. Recent studies explore ion transport in polymerized ionic liquids, activated dynamics in colloidal suspensions, and elastic properties of vitrimers. His theoretical frameworks, such as elastically collective activated dynamics and self-consistent hopping models, provide predictive tools for material innovation. Teaching and advising excellence is highlighted by UIUC awards including the 2022 Campus-wide Award for Excellence in Graduate Teaching. Schweizer’s labs and collaborations involve interdisciplinary teams addressing cutting-edge topics like biomolecular condensates and nanoconfined systems.

• Transportation Systems Analysis
• Traffic Engineering
• Sustainable Transportation
• +۳ مورد دیگر

Yu Nie is a Professor in the Department of Civil and Environmental Engineering at Northwestern University, affiliated with the NU-TREND research group within the McCormick School of Engineering. His work focuses on optimizing transportation networks, integrating human behavior, infrastructure design, and network topology to enhance mobility, reliability, and sustainability. He holds a Ph.D. from the University of California, Davis, an M.S. from the National University of Singapore, and a B.S. (cum laude) from Tsinghua University. His research interests span interdisciplinary approaches combining optimization, network science, traffic flow theory, economics, and statistics. Key areas include congestion pricing strategies, ride-hailing market dynamics, autonomous vehicle integration, and transit system design. He has contributed to studies on dockless bike-sharing systems, ethics-aware transit design, and traffic management in autonomous vehicle zones. Nie’s recent publications (2024–2025) highlight advancements in modular autonomous vehicle systems, co-modal freight solutions, and policy frameworks for sustainable urban mobility. His work often bridges theoretical insights with practical applications, addressing challenges like EV charging chaos and ride-pooling impacts. He received the 2021 Transportation Science Meritorious Service Award for his editorial contributions. His research also explores freight exchange platforms, taxi market resilience during pandemics, and the role of route choice models in transit design. Labs/Teams: Yu Nie is associated with the NU-TREND research group, specializing in innovative transportation solutions through interdisciplinary collaboration.

Chijun Sunمشاهده پروفایل

استادیار

• Paleoclimatology
• Climate Modeling
• Biomarker Analysis
• +۳ مورد دیگر

Dr. Chijun Sun is an Assistant Professor in the Department of Earth and Planetary Sciences at the University of California, Davis. He holds a Ph.D. from The University of Texas at Austin (2021) and completed postdoctoral research as an ASP Fellow at the National Center for Atmospheric Research. His research focuses on paleoclimatology, utilizing biomarkers and climate models to reconstruct past climate changes and assess model performance. Key themes include orbital-to-millennial climate variability, ocean-atmosphere dynamics, and paleoextreme weather events. He integrates proxy data with high-resolution simulations to explore mechanisms driving abrupt climate shifts and their implications for future climate projections. Dr. Sun’s work emphasizes understanding climate forcings (e.g., volcanic activity, orbital changes) and their impacts on hydroclimate patterns, monsoons, and Arctic expansion. His lab recruits graduate students to advance interdisciplinary research at the intersection of geochemistry, climate modeling, and paleoenvironmental reconstruction. Current projects address the role of land-ocean interactions in Northern Hemisphere glaciation and the influence of meltwater events on deglacial climate dynamics. Education: Ph.D., The University of Texas at Austin (2021) Postdoctoral Training: National Center for Atmospheric Research (NCAR) Labs/Teams: UC Davis Paleoclimate Research Group His research bridges observational proxy records (e.g., biomarkers, isotopic analyses) with advanced climate models to address unresolved questions about climate system sensitivity and past climate extremes. Recent efforts focus on atmospheric rivers, mesoscale convective systems, and tropical cyclone dynamics under past and future climate scenarios.

• Fluid Mechanics
• Geophysics
• Solidification Processes
• +۵ مورد دیگر

Professor M. Grae Worster is a renowned academic in fluid dynamics and geophysics, affiliated with the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP) within the Faculty of Mathematics. He holds the title of Professor and specializes in fluid mechanics, solidification processes, and geophysical flows. His research focuses on buoyancy-driven flows, magma dynamics, sea ice evolution, and phase-change phenomena in porous media. Worster earned his Ph.D. in 1983 from Cambridge University with a thesis on "Convective Flow Problems in Geological Fluid Mechanics." His work bridges theoretical and experimental approaches, addressing complex fluid dynamics in natural systems like magma chambers, lava lakes, and sea ice formation. Key areas of expertise include mushy-layer convection, premelting dynamics, and viscous gravity currents. His research interests span fluid mechanics, solidification physics, and environmental fluid dynamics, with a strong emphasis on geophysical applications. Recent studies explore hydrogel mechanics, grounding-line dynamics in ice sheets, and thermal regelation in colloidal systems. He has authored over 140 peer-reviewed articles and co-edited influential works like Perspectives in Fluid Dynamics and Understanding Fluid Flow . Worster's contributions to fluid dynamics include groundbreaking studies on sea ice dynamics, where he developed models for brine drainage and ice growth mechanisms. His work on solidification processes in alloys and colloidal suspensions has advanced materials science and geophysics. Collaborations with experimentalists ensure his theoretical models are grounded in empirical validation.