Find Academic Supervisors

• Physical Oceanography
• Coastal and Estuarine Dynamics
• Tsunami Currents
• +5 more

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
• +6 more

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-AgelView profile

Professor

• Environmental Fluid Mechanics
• Turbulence
• Computational Fluid Dynamics
• +3 more

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 HaynesView profile

Professor

• Atmosphere-Ocean Dynamics
• Climate Modeling
• Fluid Mechanics
• +3 more

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 BetzView profile

Professor

• Autonomous Systems
• Vehicle Control
• Machine Learning
• +3 more

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 GuoView profile

Professor

• Quantum Transport Theory
• Nanoelectronics
• Materials Physics
• +4 more

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-FerreView profile

Associate Professor

• Power Electronics
• HVDC Transmission
• Renewable Energy Systems
• +2 more

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.

Martin O. SaarView profile

Professor

• Geophysical Fluid Dynamics
• Geodynamics
• Subsurface Fluid Transport
• +3 more

Prof. Martin O. Saar is a Full Professor at ETH Zürich's Department of Earth and Planetary Sciences, leading the Geothermal Energy and Geofluids research group, funded by the Werner Siemens Foundation. His work focuses on geophysical fluid dynamics, subsurface multiphase fluid processes, and geothermal energy innovation. Key research areas include CO2-Plume Geothermal (CPG) systems, numerical modeling of geodynamic processes, and CO2 storage integration. His research group develops advanced numerical codes like I2(EL)VIS and I3(EL)VIS for simulating tectonic and planetary processes, incorporating fluid-rock interactions, melt transport, and seismic dynamics. Recent projects address the techno-economic feasibility of CPG systems, plasma-pulse drilling (PPGD), and subsurface energy utilization. Notable contributions include advancing geothermal heat pump systems, optimizing CO2 storage-geothermal energy co-production, and assessing geothermal potential in regions like the Ethiopian Rift and Switzerland. His work bridges fundamental geoscience with applied energy solutions, emphasizing sustainability and climate mitigation. Current initiatives include the BedrettoLab underground research facility, exploring subsurface processes, and policy briefs for fossil-fuel independence in Switzerland. His research portfolio reflects a commitment to transformative geothermal and carbon management technologies.

Paul E. DimotakisView profile

Professor

• Fluid Mechanics
• Turbulence
• Combustion
• +3 more

Paul E. Dimotakis holds the John K. Northrop Professorship in Aeronautics and is a Professor of Applied Physics at Caltech's Division of Engineering and Applied Science. A Caltech alumnus (B.S. 1968, M.S. 1969, Ph.D. 1973), he has served on the faculty since 1973, progressing from Research Fellow to his current named chair while also directing JPL's technology strategy as Chief Technologist (2006-2011). His research centers on experimental and computational fluid physics, with emphasis on turbulent mixing dynamics, chemically reacting flows, and combustion across subsonic to hypersonic regimes. Key investigations include scalar dispersion in turbulence, interface geometry in shear flows, hypersonic propulsion systems, and space-related applications such as Europa melt-probe technology for subsurface ocean exploration, asteroid retrieval missions, and atmospheric remote sensing from orbit. Recent publications reveal a strong computational focus, particularly large-eddy simulations for turbulent mixing and combustion, alongside innovative space technology concepts. His work consistently bridges fundamental fluid dynamics with aerospace engineering challenges, yielding insights for propulsion systems, planetary science, and renewable energy applications like concentrating solar thermal arrays. His scientific accolades include: Election to the National Academy of Engineering AIAA Fluid Dynamics Award NASA Group Achievement Award Fellow of AIAA Fellow of AAAS As JPL Chief Technologist, he guided technical strategy for space missions including entry-descent-landing systems and planetary exploration. His research group collaborates with NASA and DoD on grants supporting hypersonics and planetary science, though specific student advising details aren't documented. He teaches core courses including Classical Thermodynamics and Advanced Fluid Mechanics. His laboratory integrates experimental diagnostics with high-fidelity computational methods to study complex fluid phenomena, maintaining Caltech's leadership in aerospace research through partnerships with JPL and national laboratories.

William BoosView profile

Associate Professor

• Atmospheric Dynamics
• Monsoons
• Climate Science
• +3 more

William Boos is an Associate Professor at the University of California, Berkeley and a Faculty Scientist at the Lawrence Berkeley National Laboratory. He serves as editor for the Journal of the Atmospheric Sciences and teaches courses on atmosphere-ocean dynamics, extreme weather, and career development for students. His research centers on large-scale atmospheric dynamics with emphasis on monsoons, extreme weather phenomena, and Earth's hydrological cycle. He investigates how atmospheric circulations, radiative transfer, ocean interactions, and land surface processes govern global heat and water distribution, with particular focus on phase changes of water in atmospheric systems and their role in planetary-scale flows. Analysis of his recent publications reveals dominant research themes in monsoon low pressure systems, orographic precipitation sensitivity, elevation-dependent warming, and climate change impacts on extreme temperatures. His work consistently integrates theoretical frameworks, observational data, and numerical modeling to address unresolved problems in atmospheric science. Scientific recognition includes: James R. Holton Junior Scientist Award (2010) Boos leads an active research group studying atmospheric dynamics while mentoring students through specialized career development initiatives. His dual affiliation with UC Berkeley and Lawrence Berkeley National Laboratory enables comprehensive climate modeling research with real-world applications.

• Transportation Policy
• Public Transport Economics
• Mobility as a Service (MaaS)
• +3 more

Professor David Hensher is a Professor of Management and Founding Director of the Institute of Transport and Logistics Studies (ITLS) at the University of Sydney Business School. The ITLS is ranked 'well above world standards' (ERA Level 5) and globally ranked 8th in its field. He holds a BCom (Hons I) and PhD from UNSW, and is a Fellow of multiple institutions including FASSA, FCILT, and FAITPM. His research focuses on transport policy, public transport economics, and sustainable urban mobility, with notable contributions to Mobility as a Service (MaaS), bus transport systems, and post-pandemic travel behavior. Education: Bachelor of Commerce (Honours I) from UNSW PhD in Transport Studies from UNSW Education in Kenya, England, and Australia Research Interests: Prof. Hensher’s work bridges theoretical and applied aspects of transport systems, emphasizing policy design, demand modeling, and sustainability. Key areas include: MaaS frameworks and regional implementation challenges Economic impacts of public transport reforms Post-pandemic travel behavior and work arrangements Zero-emission vehicle adoption and infrastructure needs Grants & Awards: 2023: Member (AM) of the Order of Australia for services to transport and logistics. 2024: Lead investigator on grants including 'Investigation into the economy-wide implications of large-scale price reductions in public transport' and 'Promoting Sustainable University Travel Choices.' Media & Outreach: Prof. Hensher frequently engages with media and policymakers on transport issues, including commentary on Sydney’s traffic patterns, hybrid work productivity, and the regulation of ride-hailing services like Uber. Labs & Teams: Directs the ITLS, a multidisciplinary hub for transport and logistics research, collaborating globally with institutions like the Economic Research Institute for ASEAN and East Asia (ERIA).

• Sustainable Energy Engineering
• Battery Technologies
• Fuel Cell Performance
• +3 more

Paul Shearing is a Professor of Sustainable Energy Engineering at the University of Oxford's Department of Engineering Science and Director of the ZERO Institute. He holds the Royal Academy of Engineering Chair in Emerging Battery Technologies. His roles include shaping the ZERO Institute's strategy, research, and teaching programs. He was elected a Fellow of the Royal Academy of Engineering in 2024. His research focuses on battery safety, electrochemical systems, and sustainable energy technologies. Key areas include lithium-ion and solid-state batteries, fuel cells, and advanced materials for energy storage. His work integrates experimental techniques like neutron imaging, X-ray tomography, and acoustic diagnostics with computational modeling. Notable contributions include studies on thermal runaway mechanisms, battery degradation pathways, and innovative charging strategies. He has pioneered community-driven infrastructure for battery innovation and emphasized interdisciplinary approaches to address energy challenges. Awards: Royal Academy of Engineering Fellowship (2024) Key Projects: Director of ZERO Institute, Royal Academy of Engineering Chair in Emerging Battery Technologies Grants/Advising: Leads large-scale research initiatives in battery safety and energy storage systems His lab develops advanced diagnostic tools for real-time battery monitoring and collaborates with industry to transition research into commercial applications, emphasizing sustainability and scalability.

Anil VullikantiView profile

Professor

• Randomized Algorithms
• Combinatorial Optimization
• Distributed Computing
• +6 more

Anil Vullikanti is a Professor in the Department of Computer Science and a core faculty member of the Biocomplexity Institute at the University of Virginia. He holds affiliations within the School of Engineering and Applied Science. His research bridges theoretical computer science and applied domains like epidemiology, critical infrastructure, and public health. Previously, he held roles at Virginia Tech (2005–2018) and Los Alamos National Lab (2003–2005), and completed postdoctoral work at the Max Planck Institute for Computer Science. Education: B. Tech from Indian Institute of Technology, Kanpur (1993); PhD from Indian Institute of Science, Bangalore (1999). Research Interests: Randomized Algorithms, Combinatorial Optimization, Distributed Computing, Network Science, Machine Learning, and AI applied to epidemiological modeling, infrastructure protection, and healthcare systems. His work emphasizes scalable algorithms for real-world systems like pandemic forecasting, evacuation planning, and infection control. Key Awards: College of Engineering Faculty Fellow Award (Virginia Tech, 2017) Excellence in Research Award (Biocomplexity Institute, 2017) DOE Early Career Award (2010) NSF CAREER Award (2009) Grants & Projects: Focus on large-scale computational epidemiology, disaster management systems, and AI-driven public health interventions. His lab develops frameworks for epidemic scenario modeling, agent-based simulations, and privacy-preserving analytics. Labs & Teams: Leads research groups at the Biocomplexity Institute, collaborating on interdisciplinary projects with engineers, epidemiologists, and policymakers to address societal challenges like pandemic response and infrastructure resilience.

Eran GinossarView profile

Associate Professor

• Quantum Optics
• Superconducting Circuits
• Quantum Information Processing
• +4 more

Dr. Eran Ginossar is an Associate Professor and Associate Head for Research & Innovation at the Advanced Technology Institute within the School of Mathematics and Physics at the University of Surrey. He holds a PhD from the Weizmann Institute of Science (2008) and has conducted postdoctoral research at Yale University. His research focuses on quantum optics, superconducting circuits, and quantum information processing at the intersection of quantum mechanics and solid-state physics. Key interests include quantum optimal control, topological states of matter, and quantum simulations. He has held an EPSRC Fellowship (2011–2014) and is a member of the Institute of Physics (IoP) and the American Physical Society (APS). His teaching includes advanced courses such as Advanced Quantum Mechanics and Superconducting Quantum Processors . He supervises PhD students (current: Niril George, Anthony Balchin) and postdoctoral researchers (e.g., Priya Sharma). Notable past advisees include Matthew Elliott and Joseph Allen. His work contributes to UK leadership in quantum computing through initiatives like the Surrey-led quantum computing roadmap. Research themes emphasize developing protocols for quantum information processing using solid-state devices, with methodologies combining non-equilibrium modeling and large-scale simulations. Recent projects address Majorana states, topological insulators, and robust quantum computing architectures. His lab is affiliated with the Advanced Technology Institute, fostering interdisciplinary innovation in quantum technologies. Awards: EPSRC Fellowship (2011–2014) Grants: Contributions to UK quantum computing initiatives Publications: Over 50 articles in journals like Physical Review Letters and Nature Communications , focusing on quantum circuits, topological systems, and quantum control.

Anh PhanView profile

Lecturer

• Fluid-rock interactions
• CO2 capture and storage
• Gas hydrate management
• +4 more

Dr Anh Phan is a Lecturer in Chemical Engineering at the University of Surrey within the School of Chemistry and Chemical Engineering. Her research focuses on fluid-rock interactions, CO2 capture and storage, gas hydrate management, and nanopore transport phenomena. She utilizes advanced simulation techniques to bridge atomic-scale observations with large-scale applications. Education: PhD in Chemical Engineering, University College London (UCL), 2016 Graduate studies at The University of Oklahoma, 2011–2013 Research Scientist at Institute of High-Performance Computing (A*STAR, Singapore), 2017–2018 Her research interests include sustainable energy solutions, environmental engineering, and the application of molecular simulations to understand fluid behavior in confined environments. Key projects include contributions to the Horizon 2020 Science4CleanEnergy initiative and hydrate management collaborations with Colorado School of Mines. Publications highlight work on hydrate anti-agglomerants, CO2 storage mechanisms, and nanopore transport dynamics. Recent studies explore green chemistry advancements for methane storage and machine learning applications in environmental monitoring. Dr Phan’s work bridges fundamental science and practical engineering challenges in energy and environmental systems.