جست‌وجوی استاد و پژوهشگر

• Electromagnetics
• Nonlinear Optics
• High-Performance Computing
• +۶ مورد دیگر

Mohammad Zunoubi is an Associate Professor in the Department of Engineering Programs at SUNY New Paltz, part of the School of Science & Engineering. He holds an undergraduate degree from the University of Mississippi and a postgraduate degree from the University of Illinois at Urbana-Champaign. His research focuses on High-Performance Computing solutions for electromagnetic problems, Nonlinear Optics, and Microwave/Antenna Design. He has conducted extensive work in Computational Electromagnetics, utilizing methods like FDTD and FEM. His teaching interests span Electromagnetics, Numerical Methods, and EMC/EMI. He has been recognized with multiple awards, including the SUNY Provost’s Research Award (2005) and several United States Air Force Summer Faculty Fellowships (2009–2017). His research often involves collaboration with the Air Force, focusing on advanced electromagnetic modeling and high-power microwave effects. Dr. Zunoubi’s publications highlight contributions to antenna design, electromagnetic compatibility, and high-performance computing techniques. His work bridges theoretical electromagnetics with practical applications in aerospace, medical physics, and material science.

Nicholas Kevlahanمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Fluid Dynamics
• Geophysical Fluid Dynamics
• +۵ مورد دیگر

Dr. Nicholas Kevlahan is a Professor in the Department of Mathematics and Statistics at McMaster University. He holds a BSc in Physics from the University of British Columbia (1985–1989), a PhD in Applied Mathematics from the University of Cambridge (1990–1994), and completed a Marie Curie postdoctoral fellowship at École Normale Supérieure in Paris (1998). He has held visiting positions at institutions including Université Grenoble-Alpes, INRIA, and the University of Cambridge. His research focuses on advanced computational and mathematical methods for fluid dynamics, including the development of the WAVETRISK code for adaptive climate modelling, data assimilation techniques, fluid-structure interaction, and compressive sampling. His work integrates interdisciplinary approaches across applied mathematics, geophysics, and engineering. Key research areas include geophysical fluid dynamics, numerical analysis, partial differential equations, and wavelet-based methods. He has published extensively on topics such as ocean circulation models, turbulence simulation, and adaptive numerical methods. Dr. Kevlahan teaches courses in numerical methods, differential equations, asymptotic analysis, and mathematical physics. He mentors a diverse group of PhD, MSc, and BSc students in his active research laboratory.

Monica Kohlerمشاهده پروفایل

استاد پژوهشی

• Earthquake Engineering
• Seismic Tomography
• Structural Health Monitoring
• +۵ مورد دیگر

Monica Kohler is a Research Professor in the Department of Mechanical and Civil Engineering at the California Institute of Technology (Caltech). She holds a B.A. from Harvard University (1988) and a Ph.D. from Caltech (1995). Prior to her current role, she served as an Assistant Research Engineer at UCLA (1998–2011), Visiting Associate at Caltech (2007–2011), and Research Assistant Professor (2011–2017). Her work focuses on earthquake engineering, seismic tomography, and structural health monitoring using advanced sensor technologies. Her research integrates observational seismology and engineering principles to detect damage in buildings and infrastructure through dense sensor networks like the Community Seismic Network (CSN). Projects include developing methods for damage identification using seismic data, tsunami early warning systems, and real-time monitoring of urban vibrations from human activity (e.g., concerts). Key areas of exploration include earthquake-induced building response, wave propagation analysis, and the application of Bayesian learning and Gaussian process regression for ground-motion modeling. She advises graduate students at UCLA in civil engineering and collaborates on interdisciplinary projects involving oceanography, structural dynamics, and computational modeling. Her contributions span over 150 publications, including studies on the 2019 Ridgecrest earthquakes, tsunami wavefront mapping, and high-rise structural identification. She also leads efforts to deploy seafloor sensors and improve early warning systems for natural disasters. Labs/Teams: Active in the Caltech CSN project, structural health monitoring initiatives, and tsunami hazard research groups. Her team includes researchers like Viviana Vela, Gloria Hyun, and Richard Guy.

Vikram Raviمشاهده پروفایل

استادیار

• Neutron Stars
• Black Holes
• Fast Radio Bursts (FRBs)
• +۵ مورد دیگر

Vikram Ravi is an Assistant Professor of Astronomy at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics and Astronomy. He leads the astronomy department's research on relativistic astrophysical phenomena and instrumental development. His academic journey includes a B.S. from the Australian National University (2009) and a Ph.D. from the University of Melbourne (2014), followed by postdoctoral roles at Caltech and Harvard-Smithsonian Center for Astrophysics. His research focuses on neutron stars, black holes, fast radio bursts (FRBs), and tidal disruption events (TDEs). He pioneered the DSA-2000 radio telescope project, aiming to revolutionize transient astronomy. Key contributions include gravitational wave predictions from supermassive black hole binaries and FRB-based studies of galaxy halos and dark matter. Ravi's honors include the Charlene Heisler Prize and Stefano Braccini Prize for his Ph.D. work on pulsar-timing constraints on gravitational waves. He actively mentors students and postdocs in instrumentation, computational astrophysics, and observational campaigns. His groups at Caltech and Owens Valley Radio Observatory develop cutting-edge tools like the Deep Synoptic Array (DSA) telescopes, enabling breakthroughs in FRB localization, TDE surveys, and cosmic baryon mapping. Future projects include the DSA-2000's fast-time-domain surveys and dark matter searches.

• Renewable Energy
• Fluid Dynamics
• Turbine Design
• +۳ مورد دیگر

Christopher Vogel is a Research Fellow at New College and a Senior Research Associate in the Department of Engineering Science at the University of Oxford. He holds a first-class BE(Hons) in Engineering Science from the University of Auckland and completed his DPhil at Oxford under the Oxford Martin School’s Programme on Globalising Tidal Power Generation. His work focuses on advancing renewable energy technologies, particularly in tidal and wind energy systems. His research interests include fluid dynamics of tidal turbines, aerodynamic performance optimization, blade design under erosion, and large-scale renewable energy array modeling. He has contributed to projects like the Tidal Energy Research Group and the FastBlade facility for full-scale tidal blade testing. Vogel’s work integrates computational fluid dynamics (CFD), experimental testing, and multi-scale analytical models to address challenges in energy extraction efficiency, structural durability, and system reliability. Recent publications highlight advancements in actuator line methods for turbine wake prediction, uncertainty quantification in blade-element momentum theory, and dynamic loading analysis of tidal arrays. His studies often bridge theory and application, emphasizing practical solutions for marine and wind energy deployments. Collaborations include the Tidal Benchmarking Project and investigations into hybrid systems combining wave energy converters with breakwaters. Vogel’s interdisciplinary approach addresses both technical and environmental dimensions of sustainable energy systems.

Hongwei Anمشاهده پروفایل

مدرس ارشد

• Fluid Dynamics
• Coastal Engineering
• Environmental Engineering
• +۳ مورد دیگر

Hongwei An is a Senior Lecturer at the University of Western Australia (UWA), affiliated with the School of Engineering's Civil, Environmental and Mining Engineering Department and the UWA Oceans Institute. He holds a PhD from UWA and an ME from Dalian University of Technology. His research focuses on fluid dynamics, coastal engineering, and offshore infrastructure stability, with notable contributions to scour mechanics, sediment transport, and wave-current interactions. Education: PhD in Civil Engineering, University of Western Australia (20xx) Master of Engineering (ME), Dalian University of Technology (20xx) Research Interests: Dr. An’s work centers on fluid-structure interactions, local scour around marine structures, and the dynamics of oscillatory flows. He investigates topics like pipeline stability in coastal environments, wave modeling under ambient currents, and the environmental impacts of offshore renewable energy systems. Grants & Collaborations: Lead investigator in the ARC Research Hub for Transforming Energy Infrastructure (2021–2026) Industry partnerships: Inpex Operations Australia, MMA Offshore, Fugro Australia Labs/Teams: Active member of the UWA Oceans Institute, collaborating on projects related to marine growth stabilization, sediment dynamics, and offshore energy infrastructure resilience.

Jonathan Sprinkleمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Autonomous Systems
• Traffic Control
• +۳ مورد دیگر

Jonathan Sprinkle is Chair and Professor of Computer Science at Vanderbilt University's School of Engineering, with additional roles as Professor in Civil and Environmental Engineering and Electrical and Computer Engineering. Previously, he was Litton Industries John M. Leonis Distinguished Associate Professor at the University of Arizona and Interim Director of the Transportation Research Institute. His research focuses on model-based cyber-physical systems, autonomous systems, and traffic control, emphasizing industry impact. He holds a Ph.D., M.S., and B.S. in Electrical Engineering from Vanderbilt University and Tennessee Technological University. Key awards include the NSF CAREER Award (2013), UA Distinguished Scholar (2020), and NSF I-Corps Best Team (2012). His work spans traffic wave dissipation, autonomous vehicle safety, and large-scale field experiments like the CIRCLES consortium's 100-AV test. He leads initiatives in data-driven control systems and smart infrastructure through collaborations with NSF and industry. Research highlights include developing control barrier functions for automated vehicles, integrating LLMs for traffic analysis, and deploying ROS-based frameworks for vehicle communication. His contributions aim to bridge theoretical models with real-world applications, addressing challenges in energy efficiency, safety, and scalability.

Edwin P. Gerberمشاهده پروفایل

استاد

• Climate Variability
• Climate Change
• Atmospheric Dynamics
• +۳ مورد دیگر

Edwin P. Gerber is a Professor of Mathematics and Atmosphere/Ocean Science at New York University’s Courant Institute of Mathematical Sciences. He holds joint affiliations with the Department of Environmental Studies and the Center for Data Science. His research focuses on understanding climate variability and dynamics, particularly the role of stratosphere-troposphere interactions and simplified climate models. Gerber earned his Ph.D. in Applied and Computational Mathematics from Princeton University (2006), following an M.A. (2002) and B.S. in Mathematics and Chemistry from the University of the South (2000). His work bridges theory and Earth System models, investigating topics like the Brewer-Dobson Circulation, sudden stratospheric warmings, and ozone layer dynamics. Key achievements include the DynVarMIP initiative for CMIP6 and contributions to gravity wave parameterization. Gerber has received awards such as the Friedrich Wilhelm Bessel Research Award (2021) and Hertz Foundation Fellowship (2000-2005). His research has been supported by grants from NSF, NASA, and international collaborations. Gerber’s lab explores machine learning applications in climate modeling, including data-driven parameterization of gravity waves. He serves as Associate Editor for the Quarterly Journal of the Royal Meteorological Society and has led initiatives like the SPARC Reanalysis Intercomparison Project (S-RIP). His recent studies address tropical teleconnections, stratospheric ozone responses to global warming, and extreme event predictability. Gerber’s teaching includes courses on atmospheric dynamics, climate change, and differential equations. He emphasizes interdisciplinary approaches, integrating theory, computation, and observational data to advance climate science understanding.

Leslie Greengardمشاهده پروفایل

استاد

• Integral Equation Methods
• Electromagnetics
• Acoustics
• +۵ مورد دیگر

Leslie Greengard is a Silver Professor of Mathematics and Computer Science at New York University's Courant Institute, part of the Faculty of Arts and Science. His research focuses on integral equation methods for electromagnetics, acoustics, plasma physics, and fluid dynamics, with recent work extending to kernel-based methods in statistical inference. He leads the Courant Mathematics and Computing Laboratory and contributes to novel electromagnetic simulation techniques. Education: Ph.D. and M.D. in Computer Science and Medicine from Yale University (1987) B.A. in Mathematics from Wesleyan University (1979) Research Interests: Greengard's group develops fast solvers for complex geometries in electromagnetics and fluid dynamics. Notable contributions include the Fast Multipole Method (FMM) for particle simulations and Quadrature by Expansion (QBX) for layer potential evaluations. His work bridges computational mathematics and applications in physics, engineering, and biomedicine. Recent Article Trends: Recent publications emphasize fast algorithms (e.g., FMM, adaptive Gauss transforms), biomedical applications (e.g., deep brain stimulation modeling), and cosmological simulations. His methods address challenges in high-dimensional data, multiscale problems, and real-time computation. Awards & Recognition: While no specific prizes are listed, his foundational work on FMM has had a transformative impact on computational science. Advising & Collaborations: Collaborations span academia and industry, with co-authors including V. Rokhlin, M. O’Neil, and others. No formal advisees are listed here, though his research involves postdoctoral fellows and graduate students. Labs & Teams: Active in the Courant Mathematics and Computing Laboratory, focusing on electromagnetic simulation and design methodologies.

• Scientific Computing
• Computational Fluid Dynamics
• Finite Element Methods
• +۳ مورد دیگر

Johan Jansson is an Associate Professor in Scientific Computing at KTH Royal Institute of Technology and BCAM (Basque Center for Applied Mathematics). He leads research in predictive Direct FEM Simulation (DFS) for aerodynamics and multiphase flows, and co-founded Icarus Digital Math as CEO. His work includes the FEniCS open-source finite element software project and MOOC-HPFEM educational initiatives. He holds roles as Director of the Center for Digital Math and collaborates internationally in computational science. Research focuses on high-performance computing (HPC), fluid-structure interaction (FSI), biomedical modeling, and renewable energy systems. Notable contributions include adaptive FEM frameworks for turbulent flow, vocal fold simulations, and wave energy converter modeling. His work bridges academic research with industrial applications, leveraging FEniCS-HPC and Unicorn solvers. Key achievements include election to the IVA Royal Swedish Academy of Sciences 100-list and securing the Severo Ochoa Center of Excellence Award. He has pioneered open-source tools like SimTek and contributed to major projects like the Salter Sink and vocal production modeling. Teaching responsibilities include courses on database technology, computational fluid mechanics, and research methodology. He actively engages in large-scale simulation projects involving marine energy, cardiac ablation protocols, and aerodynamic optimization.

Yan (Cindy) Sunمشاهده پروفایل

مدرس

• Wireless Network Protocols
• Mobile Ad Hoc Networks (MANET)
• Energy Efficiency in IoT
• +۳ مورد دیگر

Dr. Yan (Cindy) Sun is a Lecturer in Telecommunications at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on routing strategies for ad hoc wireless networks, energy efficiency in IoT systems, and cross-layer design for next-generation wireless networks. She teaches modules on Ad Hoc Networks and Telecommunications Systems, emphasizing protocols like TCP/F, MANET routing (DSDV/ABR/AODV), and wireless broadband access technologies. Research Interests: Optimized routing in heterogeneous wireless environments Energy-saving mechanisms for IoT devices Cross-layer protocol design for 5G/6G networks Her publications (2017-2023) address VANET privacy, game-theoretic intrusion detection, and mMTC network optimization. Active in both theoretical and applied research, she has contributed to eHealth systems integrating wearable sensors with IoT frameworks. Teaching responsibilities include modules taught in collaboration with BUPT (Beijing), covering information theory, queuing theory, coding principles, and wireless network fundamentals.

Isabelle Lecomteمشاهده پروفایل

استاد

• Geophysics
• Seismic Imaging
• Reservoir Characterization
• +۶ مورد دیگر

Isabelle Lecomte is a Professor in Reservoir and Near-Surface Geophysics at the University of Bergen's Department of Earth Science. Her research focuses on seismic modeling, reservoir characterization, and near-surface geophysics, with applications to paleokarst reservoirs, fault zone analysis, and archaeological geophysics. She has supervised numerous master's theses and contributed to projects funded by the Research Council of Norway. Her work integrates field observations, numerical modeling, and geophysical data interpretation to advance understanding of subsurface structures and processes. Affiliations: Department of Earth Science, University of Bergen Research Groups: Geodynamics and Basin Studies Research Interests: Development of seismic modeling techniques for reservoir characterization and near-surface imaging Application of ground-penetrating radar (GPR) in archaeology and environmental studies Seismic expression of faults, sand injectites, and carbonate systems Paleokarst reservoir dynamics and flow simulation Publications: Over 30 peer-reviewed articles focus on seismic modeling, subsurface imaging, and geohazard assessment. Recent work emphasizes 3D/4D seismic interpretation, fault zone analysis, and outcrop-subsurface analogues. Grants & Awards: Involved in projects funded by the Research Council of Norway, including studies on paleokarst reservoirs and CO2 storage feasibility. Advising: Supervised 14 master's students, with thesis topics ranging from seismic attribute analysis in archaeology to reservoir characterization of paleokarst systems.

Joannes Westerinkمشاهده پروفایل

استاد

• Computational fluid dynamics
• Finite element methods
• Coastal ocean modeling
• +۳ مورد دیگر

Joannes Westerink is the Joseph and Nona Ahearn Professor in Computational Science and Engineering at the University of Notre Dame's College of Engineering. He holds concurrent faculty titles in the Departments of Aerospace and Mechanical Engineering, Earth Sciences, Computer Science and Engineering, and other disciplines. His research focuses on computational fluid dynamics, tidal hydrodynamics, and hurricane storm surge prediction. He earned his Ph.D. from MIT in 1984, followed by M.S. and B.S. degrees in Civil Engineering from SUNY Buffalo. Key research interests include finite element methods, coastal circulation modeling, and geophysical turbulence. In 2025, he was awarded the International Coastal Engineering Award for his contributions to storm surge forecasting and coastal hazard mitigation. Westerink leads the Computational Hydraulics Laboratory, advancing numerical models like STOFS (Surge and Tide Operational Forecast System) for global water level predictions. His recent work integrates AI-driven nudging techniques and machine learning to enhance model accuracy, with applications in disaster risk assessment and climate adaptation.

Michael Shelleyمشاهده پروفایل

استاد

• Fluid Dynamics
• Active Matter
• Biophysics
• +۳ مورد دیگر

Michael Shelley is the Lilian and George Lyttle Professor of Applied Mathematics at New York University's Courant Institute of Mathematical Sciences. He holds additional roles as Professor of Mathematics, Neural Science, and Mechanical Engineering. His research focuses on fluid dynamics, active matter, and biophysical systems, with notable contributions to microswimmer dynamics, cytoplasmic flows, and fluid-structure interactions. Shelley leads the Applied Mathematics Laboratory at Courant and directs the Center for Computational Biology at the Flatiron Institute. His work bridges theoretical, computational, and experimental approaches to understand complex biological and physical phenomena. Research interests include nonlinear dynamics of fluids, collective behavior in active matter systems, and biomechanical processes such as mitosis and cellular transport. Recent studies involve modeling microtubule networks, cytoplasmic stirring, and spindle positioning in cells. His publications span topics like fluid-structure interactions, viscoelastic flows, and the mechanics of swimming organisms. Key projects include the dynamics of erodible bodies in fluid flows, optimization of microswimmer designs, and the rheology of active suspensions. Shelley collaborates across disciplines, integrating applied mathematics with biology, physics, and engineering. His work has advanced understanding of self-organization in living systems and fluid-driven morphological changes.

Ryan Hurleyمشاهده پروفایل

دانشیار

• Mechanics of Structurally Complex Materials
• Granular and Geologic Materials
• Multiscale Materials Modeling
• +۱۲ مورد دیگر

Ryan Hurley is an Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering, with a secondary appointment in the Department of Civil and Systems Engineering. He is a Fellow of the Hopkins Extreme Materials Institute (HEMI) and leads a research group focused on the mechanics of granular and geologic materials, multiscale modeling, and 3D materials characterization. PhD, California Institute of Technology (Caltech), 2015 Postdoctoral Research, Lawrence Livermore National Laboratory (LLNL), 2015–2017 Joined JHU Faculty, 2018 His research interests center on understanding the mechanical behavior and failure mechanisms of granular materials, rocks, concrete, and ceramics through novel experiments and numerical models. He specializes in in-situ X-ray imaging and diffraction to observe deformation at micro and mesoscales. Key areas include impact physics, wave propagation, and rapid compaction, with applications in asteroid deflection and structural safety. His group develops digital twin models to simulate material behavior across scales. The research publications reveal a strong trend in multiscale experimental mechanics of geomaterials, combining high-resolution imaging with computational modeling. His work frequently appears in top journals such as Journal of the Mechanics and Physics of Solids , Proceedings of the National Academy of Sciences , and International Journal of Solids and Structures , focusing on granular dynamics, fracture, compaction, and constitutive modeling. Scientific awards include: NSF CAREER Award (2020) AFOSR Young Investigator Program (YIP) Award (2022) AEOP Mentor of the Year (2021) Department of Energy Secretary’s Appreciation Award (2017) Hurley has secured significant research funding from NSF, AFOSR, ARL, DOE, and DTRA . He actively mentors PhD, postdoctoral, and undergraduate students, and his group has produced numerous publications. He serves as co-editor of Open Geomechanics and has reviewed for major journals and funding agencies. Since 2021, he has chaired the annual Mach Conference. His research group operates within the Hopkins Extreme Materials Institute (HEMI) and utilizes advanced facilities including synchrotron X-ray sources and high-speed imaging systems for impact experiments.