جست‌وجوی استاد و پژوهشگر

Liam Stantonمشاهده پروفایل

دانشیار

• Mathematical Modeling in Physics and Biology
• Multiscale and Multiphysics Methods
• Non-equilibrium Many-Body Systems
• +۳ مورد دیگر

Liam Stanton is an Associate Professor of Applied Mathematics at San Jose State University (SJSU), part of the College of Science. He holds a Ph.D. in Applied Mathematics from Northwestern University (2009), an M.S. from the same institution (2005), and a B.S. in Physics & Mathematics from Boston College (2004). His research focuses on multiscale modeling of non-equilibrium many-body systems, with applications in physics and biology. Key areas include mathematical modeling of plasma dynamics, transport phenomena, and stochastic approaches in biological systems. Stanton’s work emphasizes analytical and computational methods, including molecular dynamics, density functional theory, and continuum mechanics. His recent studies explore plasma transport in high-energy-density systems, inertial confinement fusion, and biophysical modeling of cellular membranes. He has developed novel algorithms for hydrodynamic density functional theory and machine learning-driven surrogate models to bridge scales in complex systems. His publications span plasma physics, computational methods, and interdisciplinary applications, reflecting a commitment to advancing both fundamental theory and practical simulation techniques. Stanton collaborates widely, contributing to projects like the Cimarron Initiative for large-scale plasma simulations. He is actively involved in teaching and mentoring, though no student names are publicly listed. Office hours are held Monday-Thursday 9am–12:30pm/1:30pm–4pm and Friday 9am–12:30pm.

Xuanting Haoمشاهده پروفایل

استادیار

• Small-scale air-sea interaction
• Computational fluid dynamics
• Submesoscale physical oceanography
• +۳ مورد دیگر

Xuanting Hao is an Assistant Professor at the Marine Physical Laboratory , part of the Scripps Institution of Oceanography at UC San Diego. His research focuses on small-scale physical processes at the atmosphere–ocean interface, employing physics-based and data-driven models to study air-sea interactions. Key areas include computational fluid dynamics, submesoscale oceanography, and boundary layer meteorology. Education: PhD, Mechanical Engineering, University of Minnesota (Twin Cities) B.E., Automotive Engineering, Tsinghua University, Beijing Research Interests: Development of high-performance computing models for air-sea processes Simulation of ocean-atmosphere interactions using adjoint-based methods and LES Analysis of coastal bathymetry, internal waves, and turbulence dynamics Integration of machine learning for improved predictive modeling His recent work emphasizes advancing numerical methods for coastal and oceanic systems, with applications to wave dynamics, bioluminescence quantification, and SAR data assimilation. He collaborates across disciplines to bridge fluid dynamics with environmental science. Key Contributions: Advances in adjoint-based high-order spectral methods for coastal bathymetry reconstruction Pioneering machine learning integration in LES for turbulence prediction Development of novel models for ocean surface wave modulation by internal waves His research is conducted at the Marine Physical Laboratory , a leading center for oceanography and atmospheric science.

Keith Abramsمشاهده پروفایل

استاد

• Health Technology Assessment (HTA)
• Biostatistics
• Clinical Trials
• +۵ مورد دیگر

Keith Abrams is an Honorary Professor at the University of York's Centre for Health Economics and Partner/ Director at Visible Analytics. Previously, he held a Professorship in Medical Statistics at the University of Leicester, leading the Biostatistics Research Group. His work focuses on methodological advancements in Health Technology Assessment (HTA), including Bayesian statistical methods for clinical trials, evidence synthesis, natural history modeling for rare diseases, and analysis of large-scale electronic health records (EHR). He has extensive involvement with UK regulatory bodies like NICE (National Institute for Health and Care Excellence), serving on multiple committees including the Technology Appraisals Committee and Diagnostics Advisory Committee. His methodological contributions are supported by grants from ESRC, MRC, and industry partnerships. Research interests emphasize statistical innovations for HTA, particularly in oncology, rare diseases, and multimorbidity. He has authored/co-authored seminal books on meta-analysis, Bayesian approaches, and evidence synthesis in healthcare. Recent work includes evaluating surrogate endpoints in Alzheimer's disease and prostate cancer trials, analyzing pandemic impacts using EHR data, and developing natural history models for Duchenne Muscular Dystrophy (DMD). His cross-disciplinary collaborations bridge academia, industry, and policy, addressing evidence-based decision-making challenges in healthcare. Key accolades include NIHR Senior Investigator Emeritus status, Royal Statistical Society Fellowship, and Chartered Statistician designation. His research spans 20+ years, with over 200 peer-reviewed publications and methodological guidelines influencing international HTA practices.

Bodo Ahrensمشاهده پروفایل

استاد

• Mesoscale Meteorology
• Climate Modeling
• Hydrological Modeling
• +۳ مورد دیگر

Prof. Bodo Ahrens is a Professor of Mesoscale Meteorology and Climate at Goethe University Frankfurt, leading the Mesoscale Meteorology and Climate group within the Institute for Atmospheric and Environmental Sciences. He holds a Ph.D. from the University of Bonn (1996) and habilitation from the University of Vienna (2004). His research focuses on climate modeling, hydrological extremes, and atmospheric dynamics, with expertise in regional climate projections, convective processes, and climate change impacts. Prof. Ahrens has held key roles including Acting Director of his institute (2008-2009), chairs the Scientific Advisory Board of the COSMO-CLM Community, and leads the LOEWE Biodiversity and Climate Research Centre's climate modeling projects. He serves on editorial boards for journals like Meteorology and Atmospheric Physics and actively participates in climate policy advisory roles across Europe. His work bridges climate science and societal impacts, with recent emphases on Third Pole climate dynamics, flood risk analysis, and machine learning applications. He coordinates international initiatives for high-resolution climate ensembles and collaborates on interdisciplinary projects linking climate change to disease vectors and infrastructure resilience.

• Electromagnetic dosimetry
• Numerical methods
• Stochastic modeling
• +۳ مورد دیگر

Joe Wiart is a Professor and Holder of the C2M Chair at Institut Mines-Télécom (IMT), where he leads research in electromagnetic dosimetry and wireless systems. His work focuses on numerical methods, statistical modeling, and AI applications in electromagnetism. He directs the Radio-Frequency Microwaves and Millimeter Waves (RFM²) Laboratory and coordinates large-scale projects like LEXNET, ACTE, and AMPERE. His research covers five main axes: digital/experimental dosimetry, statistical exposure modeling, network technology impacts, exposure standardization, and societal risk perception. He holds leadership roles at CENELEC TC106x, URSI Commission K, and Paris's Observatoire Ondes committee. Previously, he headed Orange's human exposure research unit. Research interests span stochastic dosimetry, RF exposure characterization, and network architecture impacts. His publications demonstrate consistent focus on electromagnetic safety across telecommunications and biomedical applications. Honors include Senior IEEE membership and Emeritus status at SEE. His team collaborates internationally on projects like MOBI-Kids investigating mobile phone radiation health effects.

Benjamin Seiboldمشاهده پروفایل

استاد

• Applied and Computational Mathematics
• Traffic Flow Modeling
• Radiative Transfer
• +۷ مورد دیگر

Benjamin Seibold is a Professor of Mathematics and Physics at Temple University's College of Science and Technology. He leads the Center for Computational Mathematics and Modeling and holds dual appointments in Mathematics and Physics. His research focuses on Applied and Computational Mathematics, with expertise in high-order numerical methods, traffic flow modeling, radiative transfer, and invasive species dynamics. He has been at Temple since 2009, previously serving as an Instructor at MIT and earning his Dr.rer.nat. from the University of Kaiserslautern. His education includes a Diplom in Technomathematics (1997–2000) and a PhD in Applied Mathematics (2006) from the University of Kaiserslautern, with postdoctoral work at Lawrence Berkeley Lab and MIT. He has received prestigious awards such as the 2013 Greenshields Prize and the 2024 IEEE ITS Institutional Lead Award. His work spans computational modeling, numerical analysis, and real-world system analysis. Research Interests: Traffic flow modeling and control using autonomous vehicles Level set methods and jet schemes for interface evolution Meshfree/particle methods for fluid dynamics Radiative transfer moment approximations Invasive species population modeling (e.g., spotted lanternfly) Key Contributions: Developed the Particleclaw and StaRMAP software tools Advanced understanding of jamiton dynamics in traffic Received over $10M in NSF/USDA grants for traffic, radiative transfer, and invasive species projects Lab Activities: Directs Temple's Applied Mathematics and Scientific Computing Group, collaborating with global institutions on traffic control, radiation transport, and ecological modeling.

Jae-Ho Pyeonمشاهده پروفایل

دانشیار

• Construction Engineering and Management
• Project Risk Management
• Sustainable Construction
• +۴ مورد دیگر

Dr. Jae-Ho Pyeon is an Associate Professor in the Department of Civil & Environmental Engineering at San José State University. He specializes in construction engineering and management, with a focus on project delivery systems, risk management, and sustainable construction practices. Dr. Pyeon holds a Ph.D. from the University of Florida and has extensive experience in developing decision support systems for optimizing construction processes. His research explores innovative contracting methods, such as incentive/disincentive provisions, and their impact on project time and cost performance. Notable areas include traffic management during highway construction, the application of BIM and VR technologies, and environmental sustainability in construction equipment. He has published widely on topics like blockchain-based environmental monitoring systems, synthetic data generation for hazard scenarios, and cost estimation hybrid algorithms. Dr. Pyeon is affiliated with the Construction Research Council and Construction Institute, contributing to industry-standard practices. His work emphasizes bridging technological advancements with practical construction challenges, such as reducing carbon emissions through hybrid/electric equipment and enhancing safety through digital twin simulations. His research also addresses post-disaster infrastructure recovery frameworks and global trends in long tunnel construction.

Alina Lazarمشاهده پروفایل

استاد

• Machine Learning
• Data Science
• Database Systems
• +۵ مورد دیگر

Dr. Alina Lazar is a Professor in the Department of Computer Science & Information Systems at Youngstown State University (YSU), part of the STEM College. She holds a Ph.D. in Computer Science from Wayne State University (2002) and a BS from Western University of Timisoara, Romania (1995). Her research focuses on Machine Learning, Data Science, and High Energy Physics applications, including Graph Neural Networks for particle tracking and traffic modeling using probe vehicle data. She has received multiple awards, including YSU Distinguish Professorships for Teaching (2025), Research (2022), and Service (2017). Lazar has secured a $600k grant from the DOE’s FAIR initiative for her work on large-scale models in HEP pattern recognition. Her teaching includes advanced courses like Deep Learning and Data Science. She has advised numerous master's theses and projects, with students focusing on topics like bug detection, database systems, and code readability. Lazar serves on NSF and DOE review panels and chairs conferences like OCWiC. Her interdisciplinary collaborations span physics (Lawrence Berkeley Lab), transportation, and software engineering.

• Physical Oceanography
• Coastal and Estuarine Dynamics
• Tsunami Currents
• +۵ مورد دیگر

Greg Crawford is the Dean of the Faculty of Science at Ontario Tech University in Oshawa, Ontario. He holds a B.Sc. (Honours Physics) and M.Sc. from the University of Victoria, a Ph.D. in Oceanography from UBC, and an MPA from California State University Dominguez Hills. As Dean, he oversees academic leadership, faculty development, and program strategy while maintaining research interests in physical oceanography and coastal dynamics. Dr. Crawford’s research focuses on ocean mixing processes, coastal currents, tsunami impacts, and remote sensing technologies. His work integrates observational data with numerical models to study environmental systems, climate change effects, and marine resource management. He has led interdisciplinary projects in California and the Pacific region, emphasizing sustainable partnerships between academia and industry. Prior to his current role, he held leadership positions at Humboldt State University and Vancouver Island University. He advocates for experiential learning and has established collaborations with government agencies, NGOs, and private companies to advance science-based solutions. His career bridges applied research, education innovation, and institutional governance in higher education.

• Computational Astrophysics
• N-body Simulations
• Parallel Computing
• +۶ مورد دیگر

Dr. James Wadsley is a Professor of Computational Astrophysics and SHARCNET Chair in the Department of Physics and Astronomy at McMaster University. He holds cross-appointments at the Origins Institute and the School of Computational Sciences and Engineering. His work integrates deeply with Canadian high-performance computing infrastructure, including leadership roles in Compute Canada (Digital Research Alliance of Canada), SHARCNET, and the Canadian Astronomical Society (CASCA). His research focuses on multi-scale astrophysical simulations, particularly in: Galaxy Formation & Evolution: Cosmological simulations of galaxy assembly, star formation regulation, dark matter interactions, and environmental effects in clusters. Computational Methods: Development of advanced numerical tools like the GASOLINE SPH code, radiative transfer algorithms (TREVR, TREVR2), magnetohydrodynamics (MHD), and novel conduction models. Planetary System Origins: Planetesimal formation via streaming instability, giant planet formation mechanisms, and protoplanetary disk dynamics. Interstellar Medium (ISM): Structure of molecular clouds, magnetic field coupling, superbubble feedback, and gas cycling in galaxies. His recent publications demonstrate a strong emphasis on high-resolution simulations of feedback processes in dwarf galaxies, advancements in radiative transfer techniques, MHD implementations for star formation, and cosmological structure formation. Key trends include validating cold dark matter models, quantifying environmental quenching, and developing testable predictions for observatories like ALMA. Wadsley leads significant computational projects and collaborates internationally (e.g., VERTICO survey, AGORA collaboration). He directs research leveraging SHARCNET resources for large-scale simulations of galaxy evolution and ISM physics. No specific awards, students, or funded grants are detailed in the source text.

Fernando Porté-Agelمشاهده پروفایل

استاد

• Environmental Fluid Mechanics
• Turbulence
• Computational Fluid Dynamics
• +۳ مورد دیگر

Fernando Porté-Agel is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), leading the Wind Engineering and Renewable Energy Laboratory (WIRE) within the School of Architecture, Civil and Environmental Engineering (ENAC). His expertise spans Environmental Fluid Mechanics, Turbulence, and Wind Energy. He holds a Ph.D. from Johns Hopkins University (1999) and has held academic positions at the University of Minnesota before joining EPFL in 2010. Education: Ph.D., Environmental Engineering, Johns Hopkins University (1999) M.Sc., Hydrologic Engineering, IHE Delft (1995) B.S., Civil Engineering, Universidad Politécnica de Cataluña (1992) Research Interests: Large-eddy simulation of atmospheric boundary layers Wind turbine wakes and wind farm optimization Environmental fluid dynamics and turbulence modeling Wind energy systems and renewable energy technologies Awards: McKnight Presidential Fellow (2006–2009) NASA Young Investigator Award (2001–2004) NSF CAREER Award (2001–2006) Teaching & Advising: PhD Students: Duan Guiyue, Jamshidmofid Mohammad, and others Courses: Fluid Mechanics (for SIE), Environmental Transport Phenomena Labs & Teams: Directs the WIRE lab, collaborating on projects involving wind farm layout optimization, lidar-based wake measurements, and turbulence modeling.

Peter Howard Haynesمشاهده پروفایل

استاد

• Atmosphere-Ocean Dynamics
• Climate Modeling
• Fluid Mechanics
• +۳ مورد دیگر

Professor Peter Howard Haynes is a faculty member at the University of Cambridge's Faculty of Mathematics, specializing in Atmosphere-Ocean Dynamics. His research bridges theoretical fluid mechanics, climate modeling, and atmospheric physics, with a focus on stratosphere-troposphere interactions, convective processes, and climate variability. He leads the Atmosphere-Ocean Dynamics research group, contributing to fundamental understanding of geophysical fluid systems. His work emphasizes: Dynamics of convective overshoots impacting stratospheric water vapor Climate sensitivity of Southern Ocean convection Stochastic modeling of atmospheric jets QBO influences on tropical clouds Fluid mechanical analysis of mixing processes Recent publications demonstrate consistent focus on climate change impacts, with 80% of articles addressing warming-related feedbacks, model uncertainties, and hydrological cycle interactions. Methodology combines theoretical frameworks, machine learning techniques, and observational validation.

Johannes Betzمشاهده پروفایل

استاد

• Autonomous Systems
• Vehicle Control
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Johannes Betz is a Rudolf Mößbauer Professor at the Technical University of Munich (TUM), leading the Chair of Autonomous Vehicle Systems within the Department of Mobility Systems. His research focuses on software development for autonomous vehicles, emphasizing algorithms for environmental perception, path planning, and control to enable safe, efficient autonomous operation. He holds a B.Eng. and M.Sc. in Automotive Engineering from Coburg University and the University of Bayreuth, followed by a Ph.D. in Engineering from TUM (2019). Notable achievements include founding the TUM Autonomous Motorsport Team, which won the Indy Autonomous Challenge ($1M prize), and extensive postdoc work at TUM and the University of Pennsylvania. Education: B.Eng., Automotive Engineering, Coburg University of Applied Sciences (2013) M.Sc., Automotive Engineering, University of Bayreuth (2013) Ph.D. in Engineering, Technical University of Munich (2019) Research Interests: Autonomous vehicle software architecture Real-time trajectory and behavior planning Adaptive control for high-performance systems Simulation and validation frameworks Ethics of autonomous decision-making Awards: IEEE ITS Young Professional Travel Fellowship (2022) 1st Place, Indy Autonomous Challenge (2021) New Generation Star Project Award (2024) Outstanding Reviewer Award (2024) Labs & Teams: TUM Autonomous Motorsport Team (race competition leader) AVS Lab (Autonomous Vehicle Systems)

Hong Guoمشاهده پروفایل

استاد

• Quantum Transport Theory
• Nanoelectronics
• Materials Physics
• +۴ مورد دیگر

Hong Guo is the James McGill Professor of Physics at McGill University's Department of Physics. He holds a Ph.D. from the University of Pittsburgh (1987). His research focuses on quantum electronic transport theory in nanoelectronics and materials physics of nanotechnology, emphasizing first-principles computational methods like NEGF-DFT and the RESCU real-space electronic structure technique. He teaches courses such as Electricity and Magnetism (PHY-242) and Quantum Physics I (PHY-357) and is affiliated with the Overseas Chinese Physics Association (OCPA). Education: Ph.D., Physics, University of Pittsburgh, 1987. Research interests include developing theoretical frameworks for quantum transport properties and innovative computational tools for materials physics. His group pioneered the NEGF-DFT formalism and the RESCU method, enabling large-scale simulations of nanoscale systems. Publications span topics from nanoelectronics to environmental chemistry and vision science, reflecting interdisciplinary collaboration. Publications highlight advancements in sensor technology, environmental contaminant analysis, and athlete vision testing. While no specific awards are listed, his contributions to computational physics and nanotechnology are notable. Active in teaching and mentoring, he maintains affiliations with academic and professional organizations. Labs/Teams: Research group specializing in quantum transport and materials modeling, with applications in nanoelectronics and environmental analysis.

Adria Junyent-Ferreمشاهده پروفایل

دانشیار

• Power Electronics
• HVDC Transmission
• Renewable Energy Systems
• +۲ مورد دیگر

Adria Junyent-Ferre is an Associate Professor in Power Electronics at Imperial College London's Department of Electrical and Electronic Engineering, part of the Faculty of Engineering. He holds a PhD from Universitat Politècnica de Catalunya (UPC) and has extensive experience in power electronics, HVDC transmission, and renewable energy integration. His research focuses on grid-forming inverter control, HVDC grids, and low-voltage distribution systems. He leads the RENGA project, addressing mini-grid expansion in developing regions. He is a Senior Member of IEEE and serves as an Associate Editor for IEEE Transactions on Power Delivery and Sustainable Energy. He teaches control of power electronic converters and real-time signal processing, and directs the Electrical and Electronic Engineering undergraduate program. Education: PhD (2011), MEng (2007) in Electrical Engineering from UPC. Affiliations: Control and Power Research Group, Energy Futures Lab, IEEE PES/CSS. Grants: RENGA project (Global Challenges Research Fund), multiple industry collaborations. Research interests span HVDC systems, modular multilevel converters, and grid resilience. He has authored over 100 publications, focusing on power electronics control, DC microgrids, and renewable integration. His work emphasizes practical applications in smart grids and sustainable energy distribution.