Find Academic Supervisors

Joel P JohnsonView profile

Associate Professor

• Geomorphology
• Landscape Evolution
• Sediment Transport
• +3 more

Dr. Joel P. Johnson is an Associate Professor in the Department of Earth and Planetary Sciences at The University of Texas at Austin's Jackson School of Geosciences. His research focuses on quantifying active surface processes, including geomorphic feedbacks, landscape evolution, and sediment transport dynamics. He explores topics like lithologic controls on topography, tsunami deposit analysis, and morphodynamics in mountain rivers. His work integrates field studies, laboratory experiments, and numerical modeling. Education: BS in Earth Sciences, PhD from MIT, postdoc at USGS. He teaches courses like Earth Wind and Fire, Geomorphology, and Professional Ethics in Geosciences. He co-leads the Jackson Scholars program, fostering student engagement and professional development. Research Themes: (1) Climatic and lithologic influences on landscape evolution, (2) Mountain river morphodynamics using smartrocks and flume experiments, (3) Tsunami and storm surge deposit analysis for hazard assessments. Key projects include Guadalupe Mountains lithology studies, Martian canyon comparisons, and Hawaii climate-erosion feedbacks. Advising: Supervises PhD/Master’s students and undergrad researchers (e.g., Grace Guryan, Morgan Carrington). Collaborates with institutions like Tulane University and Durham University. Publications span 20+ peer-reviewed articles since 2003, focusing on fluvial processes, sediment transport, and geomorphic modeling. Labs/Teams: Active in experimental flume research at UT, smartrock tracer technology development, and comparative planetology studies. His group emphasizes interdisciplinary approaches to address Earth system challenges.

Amneet BhallaView profile

Associate Professor

• Fluid-Structure Interaction
• Multiphase Flows
• Aquatic Locomotion
• +7 more

Dr. Amneet Bhalla serves as an Associate Professor in the Department of Mechanical Engineering within the College of Engineering at San Diego State University (SDSU). His primary contact email is asbhalla@sdsu.edu, with office located in Engineering Building Room 323-G, and phone number (619) 594-2043. Education: Ph.D., Mechanical Engineering, Northwestern University (2013) M.S., Mechanical Engineering, Indian Institute of Technology Kharagpur (2009) B.S., Mechanical Engineering, Indian Institute of Technology Kharagpur (2004-2008) Postdoctoral Training: University of North Carolina at Chapel Hill (Mathematics Department) and Lawrence Berkeley National Laboratory (Computational Research Division) Research Interests: Dr. Bhalla develops advanced numerical methods and high-performance computing techniques for computational fluid dynamics (CFD) and fluid-structure interaction (FSI) problems. His work spans aquatic locomotion, renewable energy device modeling, multiphase flows, vehicular aerodynamics, and bioengineering applications. He creates mathematical models to interrogate underlying flow physics for engineering design optimization, with emphasis on open-source software development through the IBAMR library. Publication Trends: Recent publications (2023-2025) focus on robust numerical frameworks for multiphase flows with phase change, acoustic streaming, and fluid-structure interaction. Key themes include mass conservation in level set methods, adaptive mesh refinement, and solvers for non-isothermal gas-liquid-solid systems. Applications range from aquatic locomotion and renewable energy devices to microfluidics and biomedical flows, demonstrating commitment to both theoretical advances and practical engineering solutions. Scientific Awards: No awards mentioned in the provided text Advising and Grants: Dr. Bhalla secured an NSF CAREER award (2023) for "Consistent Continuum Formulation and Robust Numerical Modeling of Non-Isothermal Phase Changing Multiphase Flows". As PI of the CFD Lab, he mentors graduate students in computational mechanics, leveraging prior industrial experience at ExxonMobil Upstream Research Company. His research integrates industrial practicality with academic rigor through collaborations with national laboratories. Laboratory and Team: The Computational Fluid Dynamics and Flow Physics Laboratory (CFD Lab) develops the open-source IBAMR software—a distributed-memory parallel implementation of the immersed boundary method with adaptive mesh refinement. The lab emphasizes transparency, community engagement, and reproducibility, establishing cross-institutional collaborations while advancing computational methods for complex flow phenomena in engineering and biological systems.

• Space Plasma Physics
• Heliospheric Physics
• Interstellar Medium
• +5 more

Harald Kucharek is a Research Professor in the Physics & Astronomy Department at the University of New Hampshire (UNH), part of the College of Engineering and Physical Sciences. He is affiliated with the Space Science Center and holds a dual Ph.D. in Physics from the Technical University of Munich and an M.S. in Physics from the University of Regensburg. His research focuses on heliospheric physics, interstellar medium interactions, and space plasma dynamics, leveraging data from missions like IBEX and Solar Orbiter. Dr. Kucharek's work centers on understanding the global structure of the heliosphere, interstellar neutral gas flow, and particle acceleration at shocks. He has contributed to studies of pickup ions, energetic neutral atoms (ENAs), and magnetic reconnection processes. His teaching includes courses on Space Plasma Physics and Magnetohydrodynamics of the Heliosphere. He has been involved in over 22 grants (2005–2024), including mission-related research for IMAP and interstellar probe concepts. Key research trends include analyzing IBEX observations of interstellar helium and oxygen, investigating shock dynamics and ion acceleration, and modeling the heliospheric boundary. His recent work explores the implications of hybrid simulations and multi-spacecraft data for understanding plasma behavior in extreme environments. Collaborations with institutions like NASA and ESA highlight his role in advancing space physics through both observational and theoretical contributions.

Guillaume DuclosView profile

Assistant Professor

• Biophysics
• Soft Condensed Matter Physics
• Active Matter
• +5 more

Dr. Guillaume Duclos is an Assistant Professor in the Martin A. Fisher School of Physics at Brandeis University, where he leads the Duclos Lab. His research focuses on the physics of active matter, biomimetic systems, and the interplay between molecular motors and soft materials. He holds a PhD from Institut Curie and Pierre et Marie Curie University (Paris, France). His lab investigates pattern formation in active materials, topological defects in nematics, and collective cell migration. Key funding includes NSF CAREER (2021–2026) and DOE Early Career (2023–2028) awards. Current students include Annemarie Winters (co-advised with Hannah Yevick), Benjamin Strain, Bennett Sessa, and Adrielle Cusi. Alumni include Dr. Bibi Najma (now at Caltech) and Dr. Salman Alam (at Lam Research). The lab emphasizes interdisciplinary training in biophysics, soft matter, and quantitative biology. Recent work includes studies on 3D pattern formation in protein-membrane systems, microtubule-motor interactions, and active nematic droplets. Research facilities support cutting-edge microscopy and computational modeling.

Jill A. OlinView profile

Assistant Professor

• Community Ecology
• Trophic Interactions
• Marine Ecology
• +3 more

Jill A. Olin is an Assistant Professor in the Department of Biological Sciences at Michigan Technological University, affiliated with the College of Sciences and Arts. She holds a PhD in Environmental Science from the University of Windsor, an MS in Marine Biology from Hofstra University, and a BS in Marine & Freshwater Biology from the University of New Hampshire. Her research focuses on community ecology, trophic interactions, and marine ecosystems, with an emphasis on conservation through biomarker and modeling approaches. Key interests include ecosystem stability, anthropogenic impacts, and food web dynamics. She teaches Ecology and Evolution, Marine Ecology, and Ecogeochemical Tracer Techniques. Her work integrates stable isotope analysis, DNA metabarcoding, and ecological modeling to address questions about species distribution, trophic niche partitioning, and resilience to environmental stressors. Notable projects include studies on Lake Superior fish ecotypes, Gulf of Mexico oil spill impacts, and salt marsh restoration. Dr. Olin collaborates with NOAA on restoration research and has published extensively on trophic ecology, resource partitioning, and ecosystem responses to human activities. While no formal grants or awards are listed, her contributions highlight interdisciplinary approaches to ecological challenges.

Benjamin StammView profile

Professor

• Numerical Analysis
• Scientific Computing
• High-Performance Computing (HPC)
• +7 more

Prof. Benjamin Stamm is a Professor of Numerical Mathematics at the University of Stuttgart, leading the Chair of Numerical Mathematics for High Performance Computing within Faculty 08. He holds a Ph.D. and master's degree in mathematics from École Polytechnique Fédérale de Lausanne (EPFL) and has previously worked at RWTH Aachen University, Sorbonne Université UPMC Paris 6, UC Berkeley, and Brown University. His research focuses on numerical analysis, scientific computing, and simulations, particularly efficient discretizations for PDEs, eigenvalue problems, error certification, reduced basis methods, and HPC implementations. He develops scalable numerical methods for problems in computational chemistry and physics, emphasizing accuracy, efficiency, and interdisciplinary collaboration with chemists, physicists, and materials scientists. Prof. Stamm’s work includes contributions to domain decomposition methods, polarization energy calculations, and software development like the ddX library. His publications span topics such as model order reduction, quantum simulations, and molecular dynamics. Collaborations and software tools underscore his commitment to bridging computational methods with real-world scientific challenges.

Tom GleesonView profile

Professor

• Groundwater Sustainability
• Hydrogeology
• Environmental Science
• +7 more

Dr. Tom Gleeson is a Professor and President’s Chair in the Department of Civil Engineering at the University of Victoria, Canada. His research focuses on groundwater sustainability, mega-scale groundwater systems, groundwater-surface water interactions, and fluid dynamics in geologic structures. He integrates geocomputation, data science, numerical modeling, field hydrogeology, and sustainability science to address interdisciplinary challenges. Gleeson holds a PhD from Queen’s University and is a licensed Professional Engineer (P.Eng.). Education: PhD (Queen’s University), P.Eng. License Research Themes: Groundwater sustainability, climate change impacts, socio-ecological systems, and planetary boundaries His work emphasizes global groundwater governance, environmental flow management, and Indigenous reconciliation in water science. Recent research highlights include quantifying groundwater’s role in planetary boundaries, evaluating nitrate contamination risks, and developing open-access groundwater modeling tools (e.g., GroMoPo). He advocates for community-based and arts-informed approaches to hydrogeology. His team, the Groundwater Science and Sustainability (GSAS) group, collaborates internationally to advance sustainable water management. Publications focus on groundwater’s socio-ecological connections, climate adaptation strategies, and innovative modeling frameworks. He actively engages with policymakers, Indigenous communities, and the public through blogs, social media, and open-access platforms.

Marius ParaschivoiuView profile

Professor

• Computational Fluid Dynamics
• Finite Element Methods
• Aerodynamic Simulations
• +7 more

Marius Paraschivoiu is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University, within the Faculty of Engineering and Computer Science. His research focuses on computational fluid dynamics (CFD), finite element methods, and aerodynamic simulations with applications to wind energy systems, acoustic simulations, and turbulence modeling. He holds a PhD in engineering and has expertise in parallel computing and urban wind energy potential assessment. His work emphasizes optimizing vertical axis wind turbine (VAWT) performance in urban environments, including roof-mounted installations, wake interactions, and turbulence effects. Paraschivoiu has extensively studied the impact of building geometry, corner placements, and fluid-structure interactions on turbine efficiency. His CFD-based analyses address challenges like mesh adaptation, multiphase flows, and real-gas modeling for hydrogen systems. Key research themes include improving wind energy harvesting through innovative turbine designs, mitigating aerodynamic noise, and enhancing flow uniformity in complex configurations. Paraschivoiu’s contributions span over 50 peer-reviewed articles, with recent focus on urban microclimate effects, VAWT array optimization, and turbine blade morphing concepts. He maintains an active research website at Concordia University and collaborates on applied projects involving CFD validation and industrial gas turbine combustor emissions.

Jan BernauerView profile

Associate Professor

• Nuclear Physics
• Particle Physics
• Proton Structure
• +3 more

Jan Bernauer is an Associate Professor in the Department of Physics and Astronomy at Stony Brook University with a joint position at RIKEN BNL Research Center. He obtained his Ph.D. from Johannes Gutenberg University Mainz in 2010 and previously held research positions at MIT from 2010-2018. Education: Ph.D. in Nuclear Physics, Johannes Gutenberg University Mainz (2010) Diplom in Physics, Johannes Gutenberg University Mainz His research focuses on precision nuclear physics at the intersection of particle and nuclear physics, including proton form factor measurements, two-photon exchange effects, and beyond-Standard-Model searches. Current projects involve sPHENIX streaming readout, MUSE (muon scattering), and TPEX (two-photon exchange) experiments. Research outputs emphasize precision measurement techniques, with recent work on detector development (40% of publications) and QCD fundamentals (30%). Collaborative projects span 15+ institutions including MIT, DESY, and Jefferson Lab. Awards & Recognition: Infinite Kilometer Award (MIT, 2017) NSF Career Award Stony Brook Foundation Award Research Teams: Leads a group with 2 postdocs, 3 graduate students, and 4 undergraduates developing novel detector systems for RHIC and EIC. Current grants support instrumentation development for streaming readout in particle physics experiments.

• Microscale fluid flow
• Stochastic dynamics
• Electrokinetics
• +3 more

Dr. Amir Nourhani is an Assistant Professor and BRIC Core Faculty member at the University of Akron, with joint appointments in Mechanical Engineering and Biology. His research explores microscale transport phenomena, including electrokinetics, acoustofluidics, and bio-fluid dynamics. He develops theoretical models for active particle systems, stochastic dynamics of microswimmers, and biomimetic swarm behaviors. Current projects include CAREER: Biomimetic Swarm of Active Colloids with Off-Center Interaction Sites. Recognitions include the David H. Rank Memorial Physics Award and Honorable Mention for the Peter Clay Eklund Graduate Lectureship Award.

Farid FarrokhiView profile

Associate Professor

• International Trade
• Spatial Economics
• Environmental Economics

Farid Farrokhi serves as an Associate Professor of Economics at Boston College, maintaining an office in Maloney Hall, room 341. His professional correspondence is facilitated through farid.farrokhi@bc.edu . His academic foundation includes: B.Sc. from Sharif University M.Sc. from Sharif University Ph.D. from Penn State Professor Farrokhi's research bridges International Trade , Spatial Economics , and Environmental Economics , with particular emphasis on trade-induced agricultural transformation, spatial migration patterns, and climate-trade policy interactions. His methodological approach integrates theoretical modeling with empirical analysis of global economic systems. Analysis of his 2019-2025 publications reveals a consistent focus on trade-environment synergies, notably examining deforestation dynamics and climate mitigation through trade policy. Concurrently, his spatial economics work investigates urban wage structures and refugee resettlement networks, while agricultural trade studies explore productivity shifts and food consumption patterns. No scientific awards were documented in the provided materials. The available information does not specify current advisees, grant funding, or research supervision activities. His professional resources include a curriculum vitae and research statement accessible through institutional channels. There is no indication of laboratory affiliations or dedicated research teams within the source documentation.

Sergei FedotovView profile

Professor

• Random Walk Theory
• Reaction-Diffusion Systems
• Non-Markovian Processes
• +3 more

Professor Sergei Fedotov is a Professor of Applied Mathematics in the Department of Mathematics at the University of Manchester. He holds a PhD from Ural Federal University (1986) and has held academic positions in London, Aachen, Wuppertal, and Berlin before joining Manchester in 1998. His research focuses on random walk theory, reaction-transport systems, and anomalous transport phenomena with applications to biophysics, nanotechnology, and cancer biology. His expertise includes non-Markovian models, fractional calculus, and interdisciplinary collaborations in areas such as intracellular transport, nanoparticle dynamics, and DNA repair. Fedotov has led major grants, including EPSRC-funded projects on nanoparticle transport in radiotherapy and FAPESP-UoM collaborations on correlated memory in biological systems. He has supervised PhD students including Anna Gavrilova, Daniel Han, and Helena Stage, and collaborates with institutions globally, such as Universitat Autònoma de Barcelona and The Christie Hospital. Key research themes include stochastic models of subdiffusion/superdiffusion, fractional partial differential equations, and the application of statistical mechanics to biological systems. His work contributes to sustainable development goals through advancements in medical physics and environmental modeling. Recent publications explore heterogeneous transport in C. elegans, stochastic water flow dynamics, and the modeling of radiation-induced DNA damage. Fedotov’s team develops novel frameworks to bridge theoretical mathematics with experimental biology, emphasizing the role of memory effects and non-equilibrium processes. Grants managed include the EPSRC £702k project on improving radiotherapy via nanoparticle transport modeling (2021–2025) and the FAPESP-UoM study on correlated memory in biological systems (2018–2022). His work integrates mathematical rigor with experimental validation, addressing challenges in cellular logistics and disease mechanisms.

Timothy VerstynenView profile

Professor

• Cognitive Neuroscience
• Cognitive Science
• Computational Neuroscience
• +1 more

Timothy Verstynen is a Professor of Psychology and Neuroscience Institute at Carnegie Mellon University, affiliated with the Dietrich College of Humanities and Social Sciences. His research focuses on cognitive neuroscience, cognitive science, computational modeling, and learning science. He investigates how neural pathways regulate action planning, skill learning dynamics, and structure-function relationships in the brain. His work integrates psychophysics, computational models, and neuroimaging techniques (fMRI, TMS, diffusion imaging). Key research themes include: 1) Action selection and stopping mechanisms under sensory input; 2) Neurobiological bases of skill acquisition timelines; 3) White matter architecture's role in cognitive functions. Recent studies explore links between brain structure, cardiovascular health, and decision-making processes using multimodal imaging and machine learning. Notable publications address cortico-basal ganglia-thalamic circuits' role in decision policies, stress-brain connectivity, and reward-based learning. His CoAx Lab develops tools like CBGTPy for modeling decision-making systems. Research spans neuroimaging methodological advancements (e.g., local connectome fingerprinting) and translational health neuroscience projects.

Martin ErininView profile

Assistant Professor

• Experimental fluid mechanics
• Multiphase flows
• Free-surface flows
• +11 more

Martin Erinin is an Assistant Professor in the Department of Mechanical Engineering at the University of Michigan . His research focuses on experimental fluid mechanics , with broad interests in multiphase flows , free-surface flows , and surfactant-dominated flows , alongside the development of optical measurement techniques for thermos-fluids . His work has significant environmental , naval , and industrial applications . Contact Details: Office: 2027 Automotive Lab, 1231 Beal, Ann Arbor, MI 48109-2133 Lab: G019 Automotive Lab Email: merinin@umich.edu Research Highlights: Studies ocean waves , air-sea interaction , and wave-particle transport mechanisms. Investigates ice accretion on marine structures and wave-ice sheet interactions . Develops experimental methods to analyze complex fluid dynamics systems.

Michael C. GurnisView profile

Professor

• Computational Geodynamics
• Mantle Dynamics
• Plate Tectonics
• +12 more

Michael C. Gurnis is the John E. and Hazel S. Smits Professor of Geophysics at the California Institute of Technology and has served as Director of the Seismological Laboratory (2009-2024) and Schmidt Academy for Software Engineering (2019-). With a B.S. from the University of Arizona (1982) and a Ph.D. from Australian National University (1987), he has held faculty positions at Caltech since 1994, becoming full Professor in 1996 and Smits Professor in 2005. His research spans computational geodynamics, mantle convection, and plate tectonics. California Institute of Technology Division of Geological and Planetary Sciences Seismological Laboratory Schmidt Academy for Software Engineering Research Interests: Gurnis focuses on computational geodynamics to link mantle convection to surface tectonics, using forward/inverse models to study plate motion dynamics , subduction zone mechanics , and deep mantle structures . His work bridges present-day geophysics with historical models through 4D Earth modeling , integrating seismic tomography, mineral physics, and paleogeography via the GPlates consortium. Recent projects include dynamic emergence of continents , plume interactions , and impact-driven subduction . Publications: Gurnis' research spans high-resolution global models of mantle flow, subduction zone rheology, and cratonic basin dynamics. Key trends include multi-physics coupling , Bayesian inversion techniques , and planetary-scale tectonic drivers . His 2024 papers address nonlinear mantle viscosity , shear zone weakening , and impact origins of tectonics . Scientific Awards: Gordon Bell Prize Finalist (2008, 2010) Springer CSE Prize (2011) for plate tectonics simulation work Advising: Mentors graduate students in computational geodynamics, including Jiaqi Fang, Erin Hightower, Yida Li, and Ojashvi Rautela. Collaborates with postdocs and international institutions like ETH-Zurich and National University of Mexico on mantle wedge dynamics and seismic geography. Labs & Teams: Leads the Seismological Laboratory and co-founded the Schmidt Academy for Software Engineering , driving innovations in geodynamic simulations and computational tools.