Find Academic Supervisors

• Numerical Analysis
• Scientific Computing
• Data Science
• +4 more

Per-Gunnar J. Martinsson serves as Deputy Director of the Oden Institute and Professor of Mathematics at the University of Texas at Austin, holding the W. A. "Tex" Moncrief, Jr. Endowment in Simulation-Based Engineering and Sciences. He maintains an affiliated professorship at the Royal Institute of Technology (KTH) in Stockholm, where he chairs the MathDataLab scientific advisory board. Previous appointments include faculty positions at the University of Oxford, University of Colorado Boulder (2005-2017), and Yale University. His educational background includes: Ph.D. in Computational and Applied Mathematics, University of Texas at Austin, 2002 Dr. Martinsson's research spans numerical analysis, scientific computing, and data science, with emphasis on randomized linear algebra methods, accelerated direct solvers for elliptic PDEs, structured matrix computations, and numerical techniques for scattering problems, computational fluid dynamics, and acoustics. His work extends to applied harmonic analysis, fast multipole methods, boundary integral equations, and modeling of heterogeneous materials and bandgap phenomena. His notable recognition includes: Germund Dahlquist Prize by SIAM (2017) He actively contributes to the Center for Numerical Analysis and Center for Scientific Machine Learning at the Oden Institute, while providing strategic leadership to KTH's MathDataLab through its scientific advisory board.

Kevin Van GeemView profile

Professor

• Thermochemical Reaction Engineering
• Sustainable Chemistry
• Kinetic Modeling
• +4 more

Kevin Van Geem is a full professor at Ghent University's Faculty of Engineering and Architecture, leading the Laboratory for Chemical Technology (LCT) and directing the Center of Sustainable Chemistry. His research focuses on thermochemical reaction engineering, transitioning fossil-based processes to renewable feedstocks, and integrating machine learning with chemical analysis. Director of Ghent University's pilot plants for steam cracking and chemical recycling Author of over 400 publications and founder of a spin-off company Specializes in kinetic modeling, process intensification, and sustainable chemistry His work spans chemical recycling, olefin production, and advanced analytical techniques for complex hydrocarbon mixtures. Recent articles highlight AI-driven catalysis, pyrolysis of polymers, and plasma-assisted CO2 utilization. Scientific awards include: Fulbright Research Scholar He bridges academia and industry through patented technologies and collaborative pilot-scale projects.

Xinfeng GaoView profile

Professor

• Computational Fluid Dynamics (CFD)
• High-Performance Computing (HPC)
• Shock Waves
• +7 more

Xinfeng Gao is a Professor of Mechanical & Aerospace Engineering at the University of Virginia, leading the CFD & Propulsion Laboratory. She specializes in high-performance computing (HPC) algorithms for fluid dynamics, combustion, and plasma systems. Her work integrates numerical methods, parallel computing, and data analytics to address complex engineering challenges. Prior to UVA, she held a professorship at Colorado State University from 2011 to 2023, establishing the CFD and Propulsion Lab there. She earned her PhD in Aerospace Engineering from the University of Toronto in 2008, followed by postdoctoral research at Lawrence Berkeley National Laboratory (LBNL). Her research focuses on three core areas: high-order CFD methods for high-speed flows, parallel adaptive algorithms for spatial and temporal domains, and HPC combined with data analytics for aerospace design optimizations. Applications include reduced-order models for turbulence, propulsion device innovation, and quantum computing for fluid simulations. She collaborates with national labs (LLNL, LBNL), aerospace industries (Boeing), and software companies to translate research into practical solutions. Her recent grants include the NSF Mid-Career Advancement Award (2022–2025) for CFD+DA integration in commercial tools and UVA’s RIG Award (2025–2026) for gas-surface material studies under extreme conditions. She teaches MAE 6720 (Computational Fluid Dynamics) and MAE 3420 (Computational Methods). Key awards include the 2023 University of Virginia Research Achievement Award and the 2022 NSF MCA Award. Her work emphasizes cross-disciplinary innovation, blending computational science with experimental validation through initiatives like the Gas-Surface-Materials RIG project, involving experts from MAE, MSE, Chemistry, and Physics.

Callum AtkinsonView profile

Senior Lecturer

• Turbulent flows
• Heat transfer
• Aerodynamics
• +5 more

Dr. Callum Atkinson is a Senior Lecturer in Mechanical & Aerospace Engineering at Monash University, specializing in turbulent flow dynamics and experimental fluid mechanics. His research focuses on understanding and controlling turbulent shear flows in pipes, boundary layers, jets, and rocket engines, combining high-fidelity numerical simulations with advanced optical diagnostics like holographic PIV and tomographic techniques. He has developed novel methodologies for 3D velocity and density measurements, contributing to drag reduction studies, heat transfer analysis, and flow control in aerospace and mechanical systems. His work addresses UN Sustainable Development Goals related to energy efficiency and sustainable transport. Current roles include leading collaborative projects on adverse pressure gradient boundary layers and flow mixing, and he actively participates in peer review for journals like Journal of Fluid Mechanics and Physics of Fluids . He supervises PhD students in topics such as hybrid rocket engine optimization and turbulence modeling, leveraging Monash's engineering research infrastructure. Notable contributions include one of the world's largest adverse pressure gradient simulations and pioneering volumetric flow visualization techniques. His experimental toolkit includes laser diagnostics, tomographic PIV, and background-oriented schlieren systems. Recent work has explored superhydrophobic surface drag reduction, thermal jet behavior, and the dynamics of high-speed jet flows. He maintains a strong focus on bridging experimental and computational fluid dynamics to advance fundamental understanding and industrial applications.

Theodore KimView profile

Professor

• Computer Graphics
• Computer Animation
• Solid Mechanics
• +3 more

Theodore Kim is a Professor of Computer Science at Yale University, where he co-leads the Computer Graphics Group with Julie Dorsey and Holly Rushmeier. His research focuses on physics-based simulation, including fluid dynamics, solid mechanics, and fractal growth structures. He holds a PhD from the University of North Carolina at Chapel Hill and has held academic positions at UCSB and the University of Saskatchewan. His work has been applied in over two dozen films, earning him SciTech Oscars in 2012 and 2022. He previously served as a Senior Research Scientist at Pixar, contributing to projects like *Cars 3*, *Coco*, and *Incredibles 2*. Education: Ph.D., Computer Science, University of North Carolina at Chapel Hill (2006) M.S., Computer Science, University of North Carolina at Chapel Hill (2006) B.S., Computer Science, Cornell University (2001) Research Interests: Kim’s work bridges academia and industry, emphasizing practical applications of physics-based simulation. Notable areas include hair and skin simulation for animation, fluid dynamics, and the historical context of computer graphics innovations. His research also addresses racial biases in graphics, such as in hair and skin modeling. Articles Trends: Recent work emphasizes diverse representation (e.g., Black hair simulation), biomechanical accuracy (feather modeling), and historical analysis of technical contributions (e.g., Búi Tướng Phong’s legacy). Earlier publications focus on fluid subspace methods, wavelet turbulence, and efficient simulation techniques. Awards: Academy Award for Scientific and Technical Achievement (2012, 2022) NSF CAREER Award (2013–2018) UCSB Harold J. Plous Award (2015) Best Paper Awards at SCA (2011, 2016, 2018) Grants & Labs: Leads Yale’s Critical Computing Initiative and directs undergraduate studies in CS. His lab collaborates with industry (e.g., Pixar) and emphasizes open-source software. Current projects include fractal design tools and anti-racist graphics research.

• Mechanical Engineering
• Aerospace Engineering
• Automotive Engineering
• +12 more

Ricardo Martinez-Botas is a Professor of Turbomachinery and Associate Dean for Industry Partnerships at the Department of Mechanical Engineering, Imperial College London. He holds affiliations with the Electrochemical Science and Engineering, Energy Materials, Grantham Institute, Mechanics of Materials, and Network of Excellence in Air Quality. His academic career includes a DPhil from the Rolls Royce University Technology Center at the University of Oxford (1993) and an MEng in Aeronautical Engineering from Imperial College London. He also serves as a Visiting Professor at University Teknologi Malaysia. His research focuses on unsteady flow aerodynamics in turbochargers, supercritical CO2 systems, and thermal-fluids engineering. Notable contributions include advancements in turbine aerodynamics, pulsating flow control, and generative AI-driven design methodologies. He leads the Thermofluids Division and the Hybrid and Electric Vehicles Theme at the Energy Futures Lab. His work integrates computational fluid dynamics (CFD), experimental methods, and one-dimensional modeling for turbomachinery optimization. Key Awards: Dugald Clerk Prize (2011), ASME Turbomachinery Best Paper Awards (2010, 2009). Editorial Roles: Associate Editor of the Journal of Turbomachinery (ASME) and Journal of Mechanical Engineering Science (IMechE). Facility Leadership: Developed the TURBODYNA dynamic simulator for radial turbomachinery and commissioned a blowdown facility for dense gas vapor research. His research portfolio spans interdisciplinary topics like battery technology, organic Rankine cycle turbines, and sustainable automotive emissions control. He actively collaborates with industry partners to translate academic innovations into real-world applications, emphasizing energy efficiency, waste heat recovery, and low-carbon transportation solutions.

• Fluid Mechanics
• Acoustics
• Environmental Fluid Dynamics
• +3 more

Catherine Le Ribault is a Researcher (CNRS) at the Laboratoire de Mécanique des Fluides et d’Acoustique (LMFA), affiliated with École Centrale de Lyon. Her research focuses on fluid mechanics and acoustics with specialization in granular flows, environmental fluid dynamics, and turbulence modeling. She is part of the Fluides Complexes et Transfert group, contributing to studies on dune dynamics, particle transport, and multiphase flows. Key research areas include aeolian processes, boundary layer interactions, and computational simulations of geophysical phenomena. Her work addresses applications in environmental engineering and geophysics. At LMFA, she collaborates on projects related to environmental flows and experimental/numerical methods, leveraging the lab’s infrastructure for fluid mechanics research.

Pouyan AhmadiView profile

Researcher

• Hydrogeology
• Environmental Science
• Computational Fluid Dynamics (CFD)
• +3 more

Dr. Pouyan Ahmadi is a Researcher in the Department of Hydrogeology at the Helmholtz Centre for Environmental Research - UFZ, focusing on computational fluid dynamics (CFD), microplastic transport, and multiphase flow in porous media. He holds a PhD in Hydrogeology (2023) and M.Sc. in Reservoir Engineering (2017) from institutions including UFZ and Shiraz University. His research addresses environmental challenges such as microplastic distribution in lakes and the hyporheic zone, supported by projects like the TRACER PhD college and Helmholtz International Research School. Education: 2024–current: Researcher, UFZ Hydrogeology 2019–2023: PhD in Hydrogeology, UFZ & University of Bayreuth 2017–2018: Reservoir Engineer, Shiraz University 2014–2017: M.Sc., Reservoir Engineering, Shiraz University Research interests span CFD modeling, microplastic fate, and rock-fluid interactions. His work contributes to initiatives like the Sonderforschungsbereich 1357 on microplastics, emphasizing interdisciplinary approaches to environmental sustainability.

Natalia BerloffView profile

Professor

• Applied Mathematics
• Theoretical Physics
• Quantum Computing
• +6 more

Professor Natalia Berloff is a Professor of Applied Mathematics at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), where she has been a faculty member since 2002. She is also a Fellow of Jesus College, Cambridge. From 2013 to 2016, she served as Professor, Dean of Faculty, and Director of the Photonics and Quantum Materials Program at Skoltech. Previously, she held positions at the University of California, Los Angeles, including UC President's Research Fellow (1997-1999) and PIC Assistant Professor (1999-2002). Her research focuses on quantum fluids, physics-inspired computing, and non-equilibrium quantum systems. Key areas include coherence in quantum systems, superfluidity, Bose-Einstein condensates, and classical/quantum simulators. Her work bridges applied mathematics and theoretical physics, with applications in optical computing and quantum technologies. Recent studies emphasize Ising machines, photonic networks, and analog computing solutions for optimization problems. Her publications span over two decades, with recent trends in analog optical computing, gain-based systems, and quantum annealing. She leads the Quantum Fluids group, exploring novel computational paradigms using quantum fluids and polariton condensates. Her contributions have advanced interdisciplinary fields like quantum simulation and photonic-based AI. Education: Doctorate in Applied Mathematics (details not explicitly stated but implied via career progression). Grants/Awards: No specific grants or awards listed, though her leadership roles imply significant external funding. Labs/Teams: Leads the Quantum Fluids group and the Physics-inspired Computing team at DAMTP.

• Computational Fluid Dynamics
• Multiphase Flow
• Computational Physics
• +3 more

Fabien Pascal Daniel Evrard is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois. His research focuses on computational fluid dynamics, multiphase flow, and advanced simulation techniques for complex fluid systems. He specializes in developing numerical methods for Euler-Lagrange simulations, interface tracking, and turbulence modeling. Key research areas include: Volume of Fluid Method Wall-bounded two-way coupled systems Crater morphology analysis in plume-surface interactions Geometric interface reconstruction Recent work emphasizes improving computational efficiency through semi-analytical approaches and data-driven characterization of fluid-structure interactions. His publications (43 total) demonstrate contributions to both fundamental theory and applied engineering solutions.

Arturo MacchiView profile

Professor

• Multiphase reactor engineering
• Gas hydrates
• Microreactors
• +3 more

Arturo Macchi is a Professor in the Department of Chemical and Biological Engineering at the University of Ottawa, Faculty of Engineering. He holds a Ph.D. from the University of British Columbia, and MASc and B.Eng. degrees from the École Polytechnique de Montréal. His research focuses on multiphase reactor engineering, particularly fluidized bed systems, gas hydrates, microreactors, and CO₂ capture technologies. Collaborations include institutions like CanmetEnergy-Ottawa, NRC-ICPCE, and industry partners such as Syncrude Canada Ltd. and Lonza Inc. Key research areas include high-pressure multiphase reactors, CO₂ capture via dual fluidized beds, and microreactor design for pharmaceutical applications. His work integrates computational fluid dynamics (CFD) modeling with experimental validation to address challenges in energy efficiency, process intensification, and sustainable energy storage. Recent projects explore calcium looping processes for thermochemical storage and oxy-fuel combustion technologies. Publications highlight advancements in fluidization dynamics, bubble column hydrodynamics, and scale-up methodologies for industrial hydroprocessors. His contributions span both fundamental and applied research, bridging academic insights with industrial applications in petrochemical, environmental, and pharmaceutical sectors.

Borja Valverde PérezView profile

Associate Professor

• Microalgae Biotechnology
• Resource Recovery
• Life Cycle Assessment
• +3 more

Borja Valverde Pérez is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU). His research advances sustainable water resource recovery through biotechnology innovations. Research focuses on microalgae cultivation, microbial protein production, and bioelectrochemical systems for water treatment. Key projects explore nutrient recovery from waste streams and greenhouse gas mitigation in biological processes. Recent publications demonstrate innovative approaches to wastewater valorization, including microalgae-bacteria consortia for pollutant degradation and inorganic bioelectric systems for low-temperature denitrification. Work integrates experimental validation with life cycle assessment. He coordinates projects on industrial symbiosis and circular economy applications in water systems. Current initiatives investigate decarbonization pathways for water resource recovery facilities through energy-flexible operation.

Chew Lock YueView profile

Professor

• Complex Systems
• Nonlinear Dynamics
• Quantum Physics
• +5 more

Professor Chew Lock Yue is an Associate Dean (Students) in the College of Science and a Full Professor in the School of Physical & Mathematical Sciences at Nanyang Technological University (NTU). He holds a B.Eng (Hons) in Electrical Engineering from the National University of Singapore (1991), an M.Sc in Electrical Engineering from the University of Southern California (1997), and a Ph.D. in Theoretical Physics from NUS (2004). His research focuses on complex systems, nonlinear dynamics, quantum thermodynamics, and urban systems modeling. Current projects include thermodynamics of information processing, machine learning integration with complex systems, and statistical physics of sea-level rise. Professional roles span technical leadership at DSO National Laboratories (1992-2005), academic appointments since 2005 (Assistant Professor to Full Professor), and administrative roles including Cluster Deputy Director at NTU’s Data Science & Artificial Intelligence Research Centre (2018-2021). He has received multiple teaching awards, including the Nanyang Award for Excellence in Teaching (2007) and the Best Faculty Mentor Award (2013). Research interests also encompass social-ecological systems, quantum heat engines, and spatial agglomeration patterns in urban contexts. His work bridges physics with interdisciplinary challenges like climate modeling and machine learning, with over 150 publications in peer-reviewed journals. Active in education, he teaches courses on quantum mechanics, nonlinear dynamics, and statistical physics.

Gregory J. WagnerView profile

Associate Professor

• Additive Manufacturing
• Multi-scale Simulations
• Multi-physics Modeling
• +4 more

Gregory J. Wagner is an Associate Professor of Mechanical Engineering and Director of Graduate Studies at Northwestern University's McCormick School of Engineering. His research focuses on developing computational methods for multi-scale and multi-physics problems in additive manufacturing, fluid dynamics, and heat transfer. He leads the Wagner Research Group, which specializes in high-performance computing tools for complex engineering simulations. Education includes a Ph.D., M.S., and B.S. in Mechanical Engineering from Northwestern University and Boston University. His work integrates machine learning with traditional computational methods to model material behavior, microstructure evolution, and process-structure-property relationships in advanced manufacturing. Notable contributions include the GO-MELT framework for thermal simulations and the C-HiDeNN neural network approach for large-scale systems. Research interests span additive manufacturing process modeling, multiphysics coupling, and data-driven approaches for material design. Awards include the Bette and Neison Harris Chair in Teaching Excellence. Publications emphasize thermal modeling, phase change phenomena, and computational fluid dynamics innovations. His lab's work bridges mesoscopic and multiscale modeling, with applications in energy systems, biomedical devices, and environmental engineering. Collaborations focus on experimental validation and industrial-scale simulation challenges.

• Geophysics
• Seismology
• Geodesy
• +3 more

Walter Szeliga is a Professor and Department Chair at Central Washington University. He holds a Ph.D. from the University of Colorado (2010). His research focuses on seismology, GPS, and InSAR technologies, with emphasis on earthquake early warning systems, crustal deformation monitoring, and natural hazards mitigation. Dr. Szeliga leads efforts in integrating real-time geodetic data streams for disaster response and has contributed to the development of ShakeAlert® systems. His work spans global geophysical networks, ionospheric perturbations, and paleotsunami studies. Key research interests include: Real-time GNSS applications for seismic monitoring Crustal deformation analysis using InSAR and GPS Earthquake source characterization through multi-method approaches Historical seismotectonic reconstructions Disaster forecasting and early warning system optimization Recent studies highlight advancements in trapping atmospheric lee waves detection via GNSS, volcanic plume dynamics during the 2022 Tonga eruption, and long-term paleotsunami records in Chile. His work bridges geophysical instrumentation with computational modeling to address critical questions in tectonic processes and hazard assessment. Scientific contributions include 50+ peer-reviewed articles on topics ranging from Cascadia subduction zone dynamics to global navigation satellite system innovations. His research has implications for civil infrastructure resilience, space weather impacts, and international geohazard collaboration frameworks.