جست‌وجوی استاد و پژوهشگر

Hugo N. Ulloaمشاهده پروفایل

استادیار

• Geophysical Fluid Dynamics
• Environmental Fluid Mechanics
• Aquatic Transport and Mixing
• +۳ مورد دیگر

Hugo N. Ulloa is an Assistant Professor in the Department of Earth & Environmental at the University of Pennsylvania School of Arts & Sciences . His research focuses on geophysical and environmental fluid dynamics, particularly transport and mixing processes in natural waters such as lakes and coastal seas. He integrates theory, numerical modeling, laboratory experiments, and field observations to develop mathematical models explaining aquatic environment dynamics. Education: Ph.D. (2015): Fluid Dynamics, Universidad de Chile Civil Engineer Diploma (2011), Universidad de Chile B.Sc. Engineering Sciences & Geophysics (2010), Universidad de Chile Research Interests: Study of mechanically and buoyancy-driven flows in rotating/stratified environments, confinement effects on fluid dynamics, suspended/dissolved tracer behavior, and thermal siphon dynamics in stratified basins. His work emphasizes practical applications to climate change impacts on waterbodies and cryospheric systems. Teaching: Hydrology (EESC 4630/5630) Environmental Fluid Dynamics (4360/6360) Independent Study: Geophysical/Environmental Fluid Dynamics Affiliations: Regular member of AGU, EGU, IAHR, and EUROMECH. Key Research Themes: Thermal convection in ice-covered lakes, buoyancy-driven flows in superconfined systems, and hydrodynamic interactions in aquatic ecosystems. His computational models address both fundamental physics and real-world environmental challenges.

• Computer Science
• Machine Learning
• Data Science
• +۴ مورد دیگر

Yong Zhang is affiliated with Tsinghua University's Research Institute of Information Technology in Beijing, China. His research focuses on machine learning, optimization algorithms, edge computing, and their applications in areas like time series analysis, federated learning, and sensor networks. He has collaborated on projects involving neural networks, scheduling problems, and privacy-preserving techniques. Education: Yong Zhang earned a PhD in Computer Science and Engineering from Fudan University in 2007. His academic career includes roles at institutions like the Chinese Academy of Sciences and the University of Hong Kong, reflecting a strong interdisciplinary background. Research Contributions: His work spans theoretical computer science, algorithm design, and applied machine learning. Notable areas include developing efficient scheduling algorithms for energy systems, creating robust federated learning frameworks for industrial demand forecasting, and advancing methods for sentiment analysis using multimodal data. He has also contributed to biomedical engineering through smartphone-based health monitoring systems. Collaborations: He frequently collaborates with researchers at institutions like the University of Electronic Science and Technology of China, Nanyang Technological University, and The Hong Kong Polytechnic University. Key projects involve data caching optimization in edge computing, distributed algorithms for dynamic networks, and combinatorial optimization problems. Labs & Future Work: His team explores cutting-edge topics in AI-driven systems, including trust-aware machine learning, distributed resource allocation, and real-time data processing for IoT applications. Current research emphasizes scalable solutions for complex optimization challenges in both academic and industrial settings.

Helga Huntleyمشاهده پروفایل

استادیار

• Geophysical Fluid Dynamics
• Oceanography
• Atmospheric Science
• +۷ مورد دیگر

Dr. Helga Huntley is an Assistant Professor in the Department of Mathematics at Rowan University's College of Science & Mathematics. Her research applies mathematical principles to solve complex problems in oceanography and atmospheric science, with expertise in Geophysical Fluid Dynamics, Transport and Dispersion Analysis, and Applied Dynamical Systems. She teaches mathematics courses ranging from remedial to graduate level and mentors students in research projects related to her expertise. Her educational background includes: Ph.D. in Mathematics from the Courant Institute, New York University M.S. in Mathematics from the Courant Institute, New York University B.S. in Mathematics from the University of Notre Dame Dr. Huntley's research examines transport patterns in ocean flows, their predictability, and integration of models across different scales. She investigates data assimilation to improve models based on observations and sea ice dynamics. As a data manager in a multi-institutional research consortium, she has developed expertise in preparing, archiving, and sharing diverse research data from lab experiments to field observations and model outputs. Analysis of Dr. Huntley's publication record reveals a strong focus on oceanographic processes using Lagrangian methods to study surface flows and transport phenomena. Her work spans theoretical mathematical modeling, field data analysis, and practical applications related to marine pollution, predator distribution, and climate impacts. A recurring theme is the investigation of submesoscale ocean dynamics and their implications for understanding larger-scale oceanographic processes, with consistent publication output in high-impact journals. Dr. Huntley actively encourages students interested in her research areas to contact her for research opportunities. While specific grant information isn't detailed in the provided materials, her extensive publication record across multiple high-impact journals suggests successful research funding. Her work often involves collaboration with interdisciplinary teams across various institutions. As a data manager in a multi-institutional research consortium, Dr. Huntley has developed expertise in research data management best practices. Her research methodology often involves oceanographic instrumentation and drifter technologies to collect data on surface ocean dynamics, contributing to our understanding of complex fluid dynamics in natural systems.

HASAN GÜNGÖRمشاهده پروفایل

استاد

• Environmental Economics
• Financial Economics
• Development Economics
• +۴ مورد دیگر

Prof. Dr. Hasan Gungor is a Professor of Economics at the Faculty of Business & Economics, Eastern Mediterranean University. He holds a PhD in Banking from Marmara University, an MBA in Business Administration from Eastern Mediterranean University, and a BA in Business Administration from the same institution. His research focuses on environmental economics, financial development, energy policy, and macroeconomic dynamics with a particular emphasis on emerging markets and policy uncertainty effects. His academic contributions include over 30 supervised theses, advising PhD and Master's students on topics such as renewable energy impacts, economic policy uncertainty, and sustainable development. He has published extensively in peer-reviewed journals, addressing global challenges like carbon neutrality, cryptocurrency volatility, and climate policy efficacy. His work often integrates advanced econometric techniques such as nonlinear ARDL models and wavelet coherence analysis. Education: 1994–1999: PhD in Banking, Marmara University 1992–1994: MBA in Business Administration, Eastern Mediterranean University 1986–1992: BA in Business Administration, Eastern Mediterranean University Research interests span environmental sustainability, financial market dynamics, and the interplay between globalization and economic growth. His recent articles highlight the role of policy uncertainty in shaping energy markets, cryptocurrency returns, and carbon emissions in G7 and BRICS economies. He actively contributes to policy discussions on sustainable development and financial stability in emerging markets.

• Hydraulics
• Environmental Fluid Mechanics
• Multiphase Flow
• +۶ مورد دیگر

Dr. Amir H. Azimi serves as a Professor in the Department of Civil Engineering at Lakehead University and holds an appointment at the Centre of Excellence for Sustainable Mining & Exploration. His expertise centers on fluid dynamics within environmental and engineering contexts. His academic credentials include: BSc from Azad University of Science and Technology, Iran MSc from Iran University of Science and Technology, Iran PhD from the University of Alberta Research focuses on hydraulics and environmental fluid mechanics, specializing in multiphase flows (bubbly/sediment-laden systems), mixing mechanisms in slurry/bubbly jets and plumes, sediment/pollutant transport in aquatic environments, erosion-deposition dynamics, weir/spillway hydraulics, and non-Newtonian fluid behavior. His methodological approach integrates experimental techniques (flow visualization, digital image processing, fiber optic probe signal analysis) with numerical modeling through custom research code development. As a licensed Professional Engineer (P.Eng.), he contributes to sustainable mining research through the Centre of Excellence for Sustainable Mining & Exploration, advancing practical applications in sediment management and fluid system design.

R. Edward Beighleyمشاهده پروفایل

استاد

• Hydrologic Modeling
• Remote Sensing
• Climate Change Impacts
• +۳ مورد دیگر

R. Edward Beighley is the COE Distinguished Professor and Interim Chair of Civil and Environmental Engineering at Northeastern University. He is also affiliated with the Marine and Environmental Sciences program. His research focuses on hydrologic and hydraulic modeling, remote sensing of the hydrologic cycle, and flood hazard assessment. He holds a Ph.D. from the University of Maryland (2001), an M.S. from Pennsylvania State University (1996), and a B.S. from the same institution (1995). Key honors include the 2024 Distinguished Faculty Award, 2019 Fostering Engineering Innovation Award, and leadership roles in NASA’s SWOT Satellite Mission. His work emphasizes sustainable water resource management through interdisciplinary approaches combining remote sensing, field data, and hydrologic models. Research projects include evaluating microplastic accumulation in floodplains, global river baseflow analysis via GRACE/GRACE-FO satellites, and improving SWOT discharge estimation algorithms. The Beighley Lab collaborates on flood risk assessment and climate change impacts at local to global scales. Grants: SWOT Science Team (NASA), NSF Microplastics Project, North Carolina Hurricane Relief Research. Students: Advises PhD student Max Rome on floating wetlands and urban water quality. Labs/Teams: Beighley Lab focuses on terrestrial water systems and satellite applications.

Martin Ostoja-Starzewskiمشاهده پروفایل

استاد

• Continuum Mechanics
• Stochastic Mechanics
• Fractal Media
• +۷ مورد دیگر

Martin Ostoja-Starzewski , Ph.D. (McGill), is a Professor of Mechanical Science & Engineering at the University of Illinois at Urbana-Champaign , with affiliate appointments at the Beckman Institute and National Center for Supercomputing Applications . His research spans continuum mechanics , stochastic wave propagation , and fractal media , focusing on scaling laws and the statistical-to-representative volume element transition. 2006–Present: Professor, UIUC 2001–2005: Canada Research Chair, McGill University 2023: Rothschild Distinguished Visiting Fellow, University of Cambridge 2022: Member, European Academy of Sciences and Arts 2024: Academia Europaea Foreign Member His work pioneered continuum mechanics with spontaneous second law violations and tensor random fields for stochastic PDEs. He authored four foundational books, including Tensor-Valued Random Fields for Continuum Physics (2019), and edited 16 special issues. Recent 2025–2023 articles explore odd elasticity , fractal thermodynamics , and stochastic wavefronts , bridging non-equilibrium thermodynamics to granular Couette systems . Scientific accolades include the Worcester Reed Warner Medal (2018) and ASME , AAM , SES fellowships. As part-time faculty at Beckman Institute (2008–Present), he integrates bioimaging with mechanics across electrosurgery and traumatic brain injury modeling.

Alex Kiselevمشاهده پروفایل

استاد

• Fluid Mechanics
• Partial Differential Equations (PDEs)
• Mathematical Biology
• +۳ مورد دیگر

Alex Kiselev is the William T. Laprade Professor of Mathematics at Duke University, part of the Trinity College of Arts & Sciences. He holds a B.S. in Physics from St. Petersburg State University (1992) and a Ph.D. in Mathematics from Caltech (1996). His research focuses on partial differential equations, fluid mechanics, mathematical biology, combustion, and Schrödinger operators. He has held positions at the University of Chicago, University of Wisconsin-Madison, Rice University, and Duke University since 2018. Kiselev's work explores fluid dynamics, singularity formation in PDEs, and mathematical biology, with notable contributions to chemotaxis and turbulence. He has been honored with the Alfred P. Sloan Research Fellowship and the Guggenheim Fellowship. Education: B.S., Physics, St. Petersburg State University, 1992 Ph.D., Mathematics, California Institute of Technology, 1996 Awards: Alfred P. Sloan Research Fellowship Guggenheim Fellowship Editorial Roles: Managing Editor, Duke Mathematical Journal Associate Editor, Communications in Mathematical Sciences

Ian Walkerمشاهده پروفایل

استاد

• Coastal Geomorphology
• Sediment Transport
• Aeolian Processes
• +۵ مورد دیگر

Dr. Ian Walker is a Professor in the Department of Geography at the University of California, Santa Barbara (UCSB). He specializes in physical geography and geomorphology, with expertise in sediment transport, coastal and aeolian processes, environmental fluid dynamics, and dune ecosystem restoration. He holds a B.Sc. in Geography and Environmental Science from the University of Toronto and a Ph.D. in Geography from the University of Guelph, Canada. Prior to UCSB, he served as faculty at Arizona State University and the University of Victoria (Canada). His research focuses on coastal and desert environments, employing field and lab methods such as terrestrial laser scanning (TLS), unmanned aerial systems (UAS), wind tunnel simulations, and computational fluid dynamics (CFD). Key projects include dust emissions mitigation at Oceano Dunes (collaborating with California Department of Parks) and invasive plant removal studies in Humboldt Bay. He has secured over $6M in research funding and advised over 40 students/post-docs. Education: B.Sc. (University of Toronto), Ph.D. (University of Guelph) Editorial Roles: Earth Surface Processes & Landforms , Annals of the American Association of Geographers , Journal of Coastal Research Professional Affiliations: Member of NASEM Scientific Advisory Panel for Owens Valley Dust Studies His articles emphasize coastal morphodynamics, restoration strategies, and climate change impacts. Notable work includes comparing UAS/TLS methods for geomorphic change detection and modeling airflow over dunes using CFD. He teaches courses on physical geography, geomorphology, and remote sensing. Grants and partnerships include collaborations with US Fish & Wildlife Service, NOAA, and state agencies. His lab focuses on integrating geospatial technologies with field experiments to address coastal sustainability challenges.

• Belt Conveyor Systems
• Bulk Solids Handling
• Energy Efficiency in Material Transportation
• +۵ مورد دیگر

Professor Craig Wheeler is a distinguished academic in the School of Engineering at the University of Newcastle, specializing in Mechanical Engineering with a focus on bulk solids handling and belt conveyor technology. As Associate Director of the Centre for Bulk Solids and Particulate Technologies and Deputy Chairman for the Australian Society for Bulk Solid Handling, he has established the university as a global leader in fundamental and applied research within this field. Wheeler's research interests primarily center on reducing the energy intensity and environmental impact of ore and mineral transportation globally. His work develops novel theoretical approaches to model and optimize belt conveyor and bulk handling systems, with significant contributions in energy-efficient transportation, dust emission control, and innovative conveying technologies like the Rail Conveyor system. His research bridges fundamental computational techniques with practical industrial applications, addressing real-world challenges in bulk material handling. His extensive publication record demonstrates trends toward increasingly sophisticated modeling techniques, combining continuum mechanics, discrete element methods, and computational fluid dynamics to solve complex problems in bulk material flow and energy consumption. Recent work shows particular emphasis on large-diameter idler rollers for energy savings, rail-running conveyor systems, and advanced dust control methodologies. 2023 Engineers Australia - Australian Society for Bulk Solids Handling 2017 Significant Contributions to Engineers Australia's Warman Design and Build Competition (Weir Minerals) 2017 Australian Council of Engineering Deans National Award for Engineering Education Excellence 2016 Innovative Technology Award (Australian Bulk Handling) 2010 Rising Star Award (Newcastle Innovation, The University of Newcastle) 2009 Pro-Vice Chancellor's Award for Research Excellence 2006 Best Research and Development Project (Australian Bulk Handling Review) 2000 A.W. Roberts Award (Australian Society for Bulk Solids Handling) Professor Wheeler has successfully led numerous Linkage Projects with major companies including Rio Tinto, Veyance Technologies, and Laing O'Rourke, securing significant cash and in-kind contributions for research projects. His industrial consulting experience, built on a 10-year engineering career with BHP, provides valuable insights that bridge fundamental research with practical applications. He actively supervises research students and contributes to professional development courses both within Australia and internationally. As a key member of the Centre for Bulk Solids and Particulate Technologies in association with TUNRA Bulk Solids, Wheeler leads research teams focused on developing eco-friendly conveying solutions. His work has resulted in new licensed technologies, internationally recognized testing methods, design guidelines, and Australian Standards that have transformed industry practices worldwide.

Bo Guoمشاهده پروفایل

دانشیار

• Subsurface Hydrology
• Contaminant Transport
• Multiscale Modeling
• +۲ مورد دیگر

Bo Guo is Associate Professor of Hydrology and Atmospheric Sciences at the University of Arizona, with joint appointment in Applied Mathematics. His research develops computational models for fluid flow and contaminant transport in geological systems. Research focuses on subsurface hydrology, particularly PFAS contamination mechanisms, multiscale porous media flow, and environmental remediation strategies. Recent work advances machine learning approaches for flow simulation and interfacial contaminant behavior in vadose zones. Publications address practical environmental challenges including groundwater contamination, carbon sequestration, and shale gas production. Research integrates experimental validation with computational modeling across scales from pore-level to field applications.

Tove Helsمشاهده پروفایل

دانشیار

• Traffic Safety
• Transportation Engineering
• Road User Behavior
• +۷ مورد دیگر

Tove Hels is an Associate Professor in the Department of the Built Environment at the Faculty of Engineering and Science, Aalborg University, Denmark. She is a key member of the Traffic Research Group, focusing on transportation safety, road user behavior, and traffic policy. Her work bridges engineering, public health, and social science to improve road safety outcomes. Research Interests: Her research spans traffic safety, cyclist-motorist interactions, speed enforcement, accident risk modeling, and the impact of vehicle technologies. She investigates both infrastructure design and behavioral factors influencing road safety, with a strong emphasis on data-driven analysis and policy evaluation. The recent publications reveal a consistent focus on improving cyclist safety through infrastructure (e.g., advanced stop boxes, roundabout design), addressing under-reporting of traffic injuries, and evaluating behavioral interventions for speeding. Her work integrates epidemiological methods, statistical modeling, and real-world policy applications. Scientific Contributions: Principal Investigator in the Danmarks Trafikulykker cohort study (2025–2029) Project participant in EASE: Intervention against speed offenders (2019–2025) Author of over 29 research outputs including journal articles, reports, and policy briefs Frequent contributor to national media and advisory bodies like Dansk Vejforening Advising and Grants: While no formal students are listed, her leadership in major funded research projects indicates a supervisory role in training junior researchers. She has secured and contributed to significant research grants related to traffic safety monitoring and intervention evaluation. Labs and Teams: She is part of the Traffic Research Group at Aalborg University, collaborating closely with researchers such as H. Lahrmann, T.K.O. Madsen, and A.V. Olesen. The group conducts field studies, data linkage projects, and policy evaluations with national impact.

• Nonlinear Partial Differential Equations
• Mathematical Physics
• Semiconductor Theory
• +۷ مورد دیگر

Ansgar Jüngel is a Full Professor for Analysis of Nonlinear Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Vienna), affiliated with the E101-Institute for Analysis and Scientific Computing. His academic journey includes roles at universities in Berlin, Konstanz, Mainz, and Vienna since 1991. He specializes in mathematical analysis of cross-diffusion systems, entropy methods, semiconductor models, and quantum fluid dynamics. Notable achievements include an ERC Advanced Grant (2021) and the Tsungming-Tu Award (2011). Research focuses on nonlinear PDEs with applications in physics, engineering, and biology, emphasizing rigorous existence theory, numerical methods, and entropy-based approaches. Recent projects include 'Emerging network structures and neuromorphic applications' and 'Taming complexity in partial differential systems.' His teaching includes courses on partial differential equations, calculus of variations, and computational finance. Publications span over 200 works, with key contributions on cross-diffusion models, quantum hydrodynamics, and energy-transport systems. He has supervised numerous PhD students and collaborates internationally on topics like semiconductor simulations and stochastic interacting particle systems. Grants include an FWF Special Research Programme and ERC funding.

Etienne Méminمشاهده پروفایل

استاد

• Stochastic Modeling
• Geophysical Flows
• Fluid Mechanics
• +۳ مورد دیگر

Etienne Mémin is a Research Director (Full Professor status) at Inria and leads the Odyssey research group, which is affiliated with multiple institutions including University of Rennes, IRMAR, Ifremer, LOPS, UBO, IMT Atlantique, and Lab-STICC. He serves as a Visiting Professor at the Department of Mathematics, Imperial College London (2020–2026) and is the Principal Investigator of the ERC STUOD grant. His research spans the intersection of geophysical sciences, fluid mechanics, computational sciences, and applied mathematics, focusing on stochastic modeling of fluid flows, data assimilation, and uncertainty quantification. He has developed frameworks for stochastic geophysical flows, coarse-scale simulations, and robust motion estimation techniques. Recent publications highlight his work on stochastic Navier-Stokes equations, ensemble forecasting, and data assimilation for ocean and atmospheric models. He has applied these methods to numerical weather prediction, turbulence analysis, and real-time flow reconstruction using sparse measurements. Scientific Awards: ERC STUOD grant PhD Students: Francesco Tucciarone (ERC STUOD, NEMO code) Benjamin Dufée (Ensemble Kalman filters, ATER position) Berenger Hug (Stochastic Navier-Stokes analysis, teaching) Antoine Moneyron (Stochastic ocean models) Collaborations: Imperial College London (D. Crisan, S. Laizet), Zhejiang University (S. Cai, C. Xu), MétéoFrance (P. Arbogast, O. Pannekoucke), Ifremer (B. Chapron), IRSTEA Lyon (L. Pénard), IRMAR (R. Lewandovsky), University of Buenos Aires (G. Artana), ISSI Beijing (T. Corpetti).

• Hydrogeology
• Mine Drainage
• Groundwater Contamination
• +۴ مورد دیگر

Roger Beckie is a Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), part of the Faculty of Science. His research focuses on physical, geochemical, and biological processes in environmental systems, particularly in hydrogeology, mine drainage, and groundwater contamination. He holds a B.A.Sc. from the University of Waterloo and a Ph.D. from Princeton University, and is a Professional Engineer (P.Eng.). Key research areas include fugitive gas migration from energy wells, mine waste rock geochemistry, and groundwater hydrology. His work addresses challenges such as acid rock drainage prediction, metal attenuation mechanisms, and the impacts of subsurface gas migration in petroleum development regions. He collaborates with industry and government to advance environmental management strategies and has contributed to large-scale field experiments, including controlled gas release studies in northeastern British Columbia. Beckie supervises graduate students in interdisciplinary projects, emphasizing field investigations and numerical modeling. He is affiliated with UBC's Institute of Applied Mathematics and teaches advanced courses in groundwater hydrology and contamination. His research integrates hydrological, geochemical, and isotopic tools to address complex environmental systems, with applications in mining, oil and gas, and groundwater sustainability.