Find Academic Supervisors

Michael J. MiksisView profile

Professor

• Theoretical Fluid Mechanics
• Computational Fluid Mechanics
• Materials Science
• +6 more

Michael J. Miksis is a Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering, with a courtesy appointment in Mechanical Engineering. He serves as Director of MS Studies for Engineering Sciences and Applied Mathematics. His expertise spans theoretical and computational fluid mechanics, materials science, and biophysics, with a focus on microfluidics, electrohydrodynamics, and soft matter theory. He holds fellowships from the AAAS, APS, and SIAM. His research explores multiscale phenomena, such as nanostructure formation in Ge/Si systems and interfacial dynamics in multiphase flows. Education: Ph.D. Applied Mathematics, New York University, 19?? M.S. Applied Mathematics, New York University, 19?? B.S. Physics, Drexel University, 19?? Professional Service: SIAM Vice President for Publications (2014–2019) Editor-in-Chief, SIAM Journal on Applied Mathematics (2009–2014) Associate Editor, Journal of Fluid Mechanics (2000–2003) His recent work addresses universal self-similarity in bulk diffusion-driven topological changes, strain-dependent surface energies in semiconductor nanostructures, and electric-field-induced phenomena in soft matter systems. He has advised numerous graduate students and collaborates extensively in multiscale modeling and computational methods.

Nigel WildingView profile

Professor

• Theoretical Physics
• Condensed Matter Physics
• Computational Physics
• +3 more

Professor Nigel Wilding holds a position in the School of Physics at the University of Bristol. His research focuses on computational and theoretical studies of complex fluids and soft matter systems, employing advanced simulation techniques to investigate phase transitions, colloidal systems, and liquid crystal behavior. He earned his BSc and PhD from the University of Edinburgh. His work bridges statistical mechanics, material science, and applied mathematics, with applications to both fundamental and applied problems in condensed matter physics. Key research themes include molecular dynamics of liquid crystals, critical phenomena in fluids, and the development of novel simulation methodologies (e.g., DL_MONTE library). His contributions address challenges in interfacial physics, active matter systems, and the thermodynamic behavior of polydisperse colloidal suspensions. Professor Wilding's laboratory is based at the HH Wills Physics Laboratory, Bristol. His interdisciplinary approach integrates computational modeling with theoretical analysis, addressing topics like hydrophobic solvation, phase coexistence in multi-component systems, and the role of many-body interactions in material properties. Publications from 2020 onward highlight advancements in simulating hard-sphere mixtures, active Brownian particles, and critical drying phenomena. His work frequently appears in top physics and chemistry journals, emphasizing rigorous computational methods and their validation against experimental observations.

Omar HusseinView profile

Researcher

• Materials Science
• Applied Mathematics
• Computational Methods
• +5 more

Omar Hussein is a Postdoctoral Researcher in the Physics & Astronomy Department at George Mason University, affiliated as Research Faculty. He is also an external collaborator at the MaCl Institute at Lawrence Livermore National Laboratory. His work focuses on materials science, engineering, and applied mathematics, with emphasis on computational methods like atomistic simulation and phase-field modeling. Education: PhD & MS in Mechanical Engineering (Clemson University, 2023/2022), BSc from University of Jordan (2019) Research Interests: Materials interfaces, thermodynamics/kinetics of materials, radiation damage, mechanical behavior, and nanoscale manufacturing His recent work investigates metal-nonmetal interphase boundary diffusion using atomistic modeling. Publications span topics like sintering mechanisms, grain boundary instabilities, and nanocrystalline alloy stabilization. Notable awards include the GEMS Award and multiple travel grants for conference presentations. Collaborations include Yuri Mishin's research group and the MaCl Institute. His research bridges theoretical analysis with experimental validation, addressing challenges in materials design and manufacturing at micro/nanoscales.

Randall EllingsonView profile

Professor

• Photovoltaics
• Solar energy materials
• Semiconductor nanocrystals
• +7 more

Randall Ellingson is a Professor of Physics and the Wright Center for Photovoltaics Innovation and Commercialization (PVIC) Endowed Chair at the University of Toledo, where he leads research in advanced photovoltaic materials and devices. He is affiliated with the Department of Physics and Astronomy within the College of Natural Sciences and Mathematics. Ph.D. in Applied Physics, Cornell University (1994) Bachelor's degree, Carleton College (1987) Ellingson's research focuses on the development, characterization, and application of novel materials for improved photovoltaic performance. His group specializes in understanding energy loss mechanisms in nanoscale light absorbers and advancing assembly methods using colloidal semiconductor nanocrystals for thin-film solar cells. The Ellingson Group has made significant contributions to iron chalcogenides research, particularly iron pyrite nanocrystals (FeS2), and their application as back contacts in CdTe solar cells. They employ advanced optical spectroscopy techniques including time-resolved photoluminescence and pump-probe (transient absorption) to investigate charge carrier dynamics and exciton transport processes in semiconductor thin films. Analysis of Ellingson's recent publications (2023-2025) reveals a strong focus on high-efficiency tandem solar cells, particularly perovskite-CdSeTe configurations pushing toward 30% efficiency. His work also emphasizes defect engineering in perovskite materials, doping strategies for CdTe-based devices, and novel processing techniques for scalable manufacturing. The research spans fundamental charge carrier dynamics to practical device implementation, with significant contributions to both thin-film and emerging photovoltaic technologies. Wright Center for Photovoltaics Innovation and Commercialization (PVIC) Endowed Chair Dr. Ellingson spent 14 years at the National Renewable Energy Laboratory (NREL) working with Arthur Nozik, where he contributed to experimental evidence for multiple exciton generation in colloidal semiconductor quantum dots. Since joining the University of Toledo faculty in 2008, he has established a productive research program that bridges fundamental materials science with practical photovoltaic applications. His group has secured significant research funding and collaborates extensively with national laboratories and industry partners in the solar energy sector. The Ellingson Group maintains state-of-the-art facilities for nanomaterials synthesis, thin-film deposition, and advanced optical characterization. They have developed specialized capabilities in colloidal nanocrystal synthesis, device fabrication for various photovoltaic architectures, and time-resolved spectroscopy for studying ultrafast charge carrier processes. The group actively collaborates with other research teams at the University of Toledo and national laboratories to advance photovoltaic technology.

• Gravitational Physics
• General Relativity
• Gravitational Waves
• +4 more

Leo Stein is an Associate Professor in the Department of Physics and Astronomy at the University of Mississippi, affiliated with the College of Liberal Arts. He holds a B.S. from Caltech (2006) and a Ph.D. from MIT (2012). His research focuses on Einstein's theory of gravity, particularly using astrophysical observations to test general relativity through gravitational wave studies of black hole systems. He has contributed to numerical simulations and analytical modeling of black hole mergers, exploring theories beyond GR and their observational signatures. Dr. Stein's expertise includes gravitational wave physics, numerical relativity, and post-Newtonian approximations. Key recognitions include the Sloan Research Fellowship (2023–25), NSF CAREER Award (2021–2026), and MIT's Henry Kendall Teaching Award (2011). His work bridges theoretical predictions with cutting-edge detector technology, aiming to advance fundamental physics through gravitational wave astronomy. His teaching spans graduate and undergraduate courses in electromagnetism, mechanics, and gravitational physics. Stein’s research also involves developing open-source tools like GWSurrogate and collaborating with the SXS Collaboration for black hole simulations. Future directions include refining waveform models for next-generation detectors and probing modified gravity theories via merger signals.

Kaihang ShiView profile

Assistant Professor

• Quantum Chemical Modeling
• Molecular Simulation
• Multiscale Modeling
• +6 more

Dr. Kaihang Shi is an Assistant Professor in the Department of Chemical and Biological Engineering at the University at Buffalo (UB), School of Engineering and Applied Sciences. He leads the Digital Porous Materials Laboratory (DP Lab) and serves as an affiliate member of the Acceleration Consortium. His research integrates machine learning, atomistic simulations, statistical mechanics, and mathematical modeling to study molecular adsorption, reaction, and transport in porous media for energy, sustainability, and healthcare applications. Education: PhD in Chemical Engineering (North Carolina State University, 2020), BS in Polymer Materials and Engineering (East China University of Science & Technology, 2015) Professional Affiliations: American Institute of Chemical Engineers (AIChE), American Association for the Advancement of Science (AAAS), International Adsorption Society (IAS) Dr. Shi's research focuses on computational discovery of nanoporous materials, particularly metal-organic frameworks (MOFs), using quantum chemical modeling, molecular simulations, and interpretable machine learning. His group develops tools like gRASPA for GPU-accelerated simulations and MOFX-DB for computational adsorption data sharing. Recent trends in his publications span: Machine learning for adsorption prediction in nanoporous materials Molecular transport mechanisms in MOFs and composites Microscopic pressure tensor analysis in confined systems CO2 capture and methane activation catalysts GPU algorithms for efficient simulation Scientific honors include: ACS PRF Doctoral New Investigator Award (2024) Best Poster Award, Diffusion Fundamentals XI (2025) Team Science Contest Winner, US Department of Energy (2021) James K. Ferrell Outstanding Ph.D. Graduate Award (NCSU 2020) Multiple teaching and conference presentation awards Dr. Shi mentors students in computational materials science, with Master’s graduates Asritha and Asha contributing to molecular transport studies. His group actively collaborates on CO2 capture projects and has secured grants from NSF, UB, and ACS for advanced materials research.

• Textile Design
• Digital Fabrication
• 3D Printing
• +4 more

Mark Beecroft is a Senior Lecturer in Textiles in Practice at the Manchester School of Art, Manchester Metropolitan University. He holds a BA (Hons) in Embroidery and an MA in Textiles from the same institution. His research focuses on integrating digital fabrication techniques like 3D printing with traditional textile processes, exploring material innovation, new materiality, and hybrid technologies. His academic background includes studies funded by the Arts and Humanities Research Council, and he is part of the Design Research Hub. Notable projects include 'Digital Interlooping,' which uses 3D printing to create seamless textile forms based on knit structures. His work has been exhibited globally, including in the USA, China, and Slovenia, and he has presented at conferences such as ID Tech Ex and Advanced Building Skins. Key research areas include additive manufacturing, material science in textiles, and the application of mathematical modeling to artistic processes. His publications span journals like the International Journal of Fashion Design and conference proceedings on material innovation. Despite no listed awards, his contributions to textile design and digital fabrication are widely recognized through exhibitions and academic engagements. Mark is affiliated with Rogue Artists and collaborates on projects merging textiles with architecture and technology. He teaches on the Textiles in Practice program and actively engages with industry through exhibitions and demonstrations.

Thomas E. BakerView profile

Assistant Professor

• Quantum Computing
• Quantum Algorithms
• Entanglement Renormalization
• +4 more

Dr. Thomas E. Baker is an Assistant Professor and Canada Research Chair in Quantum Computing for Modelling of Molecules and Materials at the University of Victoria. He holds joint appointments in the Departments of Physics & Astronomy and Chemistry. His research focuses on quantum computing, quantum algorithms, and entanglement renormalization, with applications to quantum chemistry and density functional theory. He leads the sensing and quantum materials cluster under the Office of the VPRI and is a member of Quantum BC and the Centre for Advanced Materials and Related Technology. Education: M.Sc. (California State University Long Beach), PhD (University of California, Irvine), postdoctoral fellow at the Institute for Quantum Computing (IQ) at Université de Sherbrooke, and Fulbright U.S. Scholar at the University of York, UK. Research interests include quantum information processing, quantum error correction, and tensor networks. His team develops the DMRjulia library, a Julia-based tool for entanglement renormalization computations. Recent work emphasizes quantum algorithm design for near-term quantum computers and theoretical foundations of quantum materials. Scientific Awards: Fulbright U.S. Scholar (2018). Teaching includes graduate courses on quantum physics, computational methods, and tensor networks. He actively mentors students across physics, chemistry, and computer science backgrounds. Labs/Teams: Principal Investigator of the sensing and quantum materials cluster, co-developer of DMRjulia, collaborator in Quantum BC.

• Nuclear Energy
• Medical Physics
• Radiation Safety/Security
• +7 more

Professor Wei Ji holds the William H. Hernstadt '57 Faculty Fellow position in Nuclear Engineering at Rensselaer Polytechnic Institute (RPI), where he also directs the Walthousen Reactor Critical Facility. He leads the Nuclear Computing and Multi-Physics (NuCoMP) Research Group, focusing on advanced computational techniques for nuclear energy, medical physics, and space exploration applications. He earned his B.S. and M.S. from Tsinghua University and his Ph.D. from the University of Michigan. His research addresses challenges in reactor design, radiation therapy, Monte Carlo methods, and rad-hard electronics for space missions, supported by over $14M in funding from agencies like DOE, NASA, and NIH. Education: B.S. in Engineering Physics, Tsinghua University (1999) M.S. in Engineering Physics, Tsinghua University (2002) M.S. in Nuclear Engineering, University of Michigan (2004) Ph.D. in Nuclear Engineering, University of Michigan (2007) Research Interests: Professor Ji’s work bridges computational methods with nuclear applications, including: Neutron transport modeling and reduced-order methods Advanced reactor design and safety analysis Radiation therapy dose computation Space-compatible power device reliability Multiphysics coupling for reactor transient analysis His recent studies emphasize cryogenic propulsion systems, molten salt reactor chemistry, and radiation-hardened electronics for extreme environments. Notable Achievements: Over 160 peer-reviewed publications since 2008 DOE/ANS awards for research excellence 2019 NEAGS Teaching Award and 2018 RPI Education Innovation Award Grants & Advising: Total funding: $14M+ from DOE, NASA, NIH, NRC, and industry Focus areas include NEAMS Program contributions, NRC safety assessments, and NASA ESI-funded space technology Labs & Teams: His NuCoMP Group collaborates with national labs (LANL, ANL) and industry partners to develop next-generation simulation tools and hardware for nuclear systems. Current projects include: Metamodel-driven Monte Carlo workflows Equation-free multiscale fluid modeling Radiation effects on SiC/Si devices

Xinfang JinView profile

Associate Professor

• Thermal fluids
• Transport phenomena
• Energy storage and conversion
• +3 more

Xinfang Jin is an Associate Professor at the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas , specializing in Mechanical Engineering. Her research bridges thermal fluids, transport phenomena, and energy storage/conversion technologies. Ph.D., Mechanical Engineering (2014), University of South Carolina M.S., Refrigeration and Cryogenic Engineering (2007), University of Science & Technology, Beijing B.S., Thermal and Dynamic Engineering (2004), University of Science & Technology, Beijing Dr. Jin focuses on multi-physics modeling and microstructure design for systems like solid oxide fuel/electrolysis cells, lithium-ion batteries, and redox batteries. Her work integrates electrochemical characterization and mathematical algorithm development , particularly for electric vehicle battery control. Recent publications highlight advancements in membrane reactor design , crack growth prediction in electrolysis cells, and non-aqueous redox flow battery optimization . Themes include energy efficiency, materials durability, and system integration. 2024 NSF CAREER Award 2019 UMass Lowell recognition for prolific publications Outstanding graduate and mentor awards from Beijing (2007, 2006) Her affiliations include the Mechanical Engineering Faculty and Jonsson School at UT Dallas, with research collaborations spanning electrochemical systems and renewable energy integration.

Mark YampolskiyView profile

Associate Professor

• Cybersecurity
• Additive Manufacturing Security
• Internet of Things (IoT)
• +4 more

Mark Yampolskiy is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on cybersecurity in additive manufacturing (AM), internet of things (IoT), and computer networks. Yampolskiy leads efforts to secure AM processes against cyber-physical attacks, including sabotage and data theft. He has received prestigious awards such as the ASTM International Additive Manufacturing Young Professor Award and led high-profile grants totaling over $685,000. Education: Ph.D. in Computer Science, Ludwig Maximilian University M.S. in Computer Science, Technical University Munich B.S. in Applied Mathematics, Moscow State Institute of Radiotechnics, Electronics and Automation Research Interests: Cybersecurity of digital & additive manufacturing IoT security and network defense Cyber-physical system vulnerabilities 3D printing integrity and sabotage detection Key Contributions: Developed frameworks for AM security awareness and threat modeling Pioneered studies on side-channel attacks in manufacturing Co-organized ASTM AM Security Working Groups and AMSec workshops Advocated for legal standards in AM intellectual property protection Awards: ASTM International Additive Manufacturing Young Professor Award America Makes Award ($260k+ for cybersecurity training) NSF Grant ($425k for sabotage prevention research) Labs/Initiatives: Active in Auburn's National Center for Additive Manufacturing Excellence (NCAME), McCrary Institute for Cyber and Critical Infrastructure Security.

Mohammad El SmailyView profile

Associate Professor

• Partial Differential Equations
• Nonlinear Analysis
• Reaction-Diffusion Models
• +7 more

Dr. Mohammad El Smaily is an Associate Professor in the Department of Mathematics and Statistics at the University of Northern British Columbia (UNBC), part of the Faculty of Science and Engineering. He holds a PhD in Mathematics from Aix-Marseille Université (2008). Before joining UNBC, he held postdoctoral positions at the University of British Columbia (PIMS postdoc), Carnegie Mellon University, and the University of Toronto (NSERC postdoc). His research focuses on Partial Differential Equations (PDEs) , dynamical systems , and their applications in population dynamics , mathematical biology , and ecology . Key areas include reaction-diffusion models, integro-difference equations, and the analysis of traveling waves in heterogeneous environments. Recent work explores mixed local/nonlocal operators , nonlinear advection-diffusion systems , and free boundary problems in ecological contexts. His publications span topics like front propagation in shear flows, Wolbachia infection models, and spectral analysis of nonlocal operators. Dr. El Smaily currently advises students in MSc and PhD Mathematics programs at UNBC. His research has been supported by collaborations with institutions globally, including the University of New Brunswick and INRAE (France). Publications (selected): Over 20 peer-reviewed articles, including work on KPP equations, integro-difference systems, and predator-prey dynamics with free boundaries. Full list available on Google Scholar .

Konstantin KlyukinView profile

Assistant Professor

• computational materials design
• electrochemical interfaces
• surface science
• +2 more

Konstantin Klyukin is an Assistant Professor in the Department of Materials Engineering at Auburn University's College of Engineering. His research focuses on computational materials design, electrochemical interfaces, surface science, nanoelectronics, and energy conversion using quantum-mechanical calculations and high-performance computing. Education: Ph.D. in Condensed Matter Physics, Saint Petersburg State University M.S. and B.S. in Applied Mathematics and Physics, Saint Petersburg State University Research Interests Our group investigates atomic-scale processes to design novel materials for clean energy and information technologies, including defect engineering in ferroelectric tunnel junctions and polarization-controlled resistivity mechanisms. Grants & Recognition Recipient of a $1.2 million NSF DMREF grant for 2D materials research (2023). Labs & Teams Klyukin leads a computational materials group at Auburn University, leveraging high-performance facilities to predict material properties and advance sustainable technologies.

Juntao HuangView profile

Assistant Professor

• Computational Mathematics
• Applied Mathematics
• Numerical Analysis
• +6 more

Juntao Huang is an Assistant Professor at the University of Delaware , specializing in computational mathematics and applied mathematical modeling. His research bridges numerical analysis, machine learning, and physical systems, focusing on hyperbolic partial differential equations, kinetic theory, and high-order numerical methods. Dr. Huang's work emphasizes machine learning-based moment closures for equations in fluid dynamics, radiative transfer, and semiconductor physics. He develops implicit-explicit (IMEX) schemes for stiff hyperbolic systems and investigates bound-preserving discontinuous Galerkin methods in reactive flows. His publications highlight adaptive sparse grid algorithms and stability-preserving time integrators . His recent article trends include machine learning integration into kinetic models (BGK equations, Boltzmann transport), multi-scale hyperbolic systems , and thermodynamically stable PDE formulations . This aligns with his interest in non-equilibrium flow modeling and numerical methods for Vlasov-Maxwell equations in plasma physics. Dr. Huang's advising and grant information isn't present in the provided texts, but his technical contributions span from lattice Boltzmann methods for convection-diffusion equations to curved interface treatments in kinetic simulations. His work also explores information theory through generalized Kullback-Leibler divergences in Tsallis statistics.

Joseph D. FehribachView profile

Professor

• Porous Electrodes
• Kirchhoff Graphs
• Applied Differential Equations
• +3 more

Joseph D. Fehribach is a Professor of Mathematical Sciences at Worcester Polytechnic Institute (WPI), where he has taught and led mathematical research efforts since 1992. His office is located in Stratton Hall 316, and he can be reached at +1 (508) 8315000 x5069. His educational background includes: BA in Mathematics and Physics from Centre College, Summa Cum Laude (1980) MA in Mathematics from Duke University (1982) PhD in Mathematics from Duke University (1985) Professor Fehribach's research spans the theoretical and applied mathematics domains, with primary focus on Kirchhoff graphs and porous electrodes in electrochemical systems. His Kirchhoff graph work explores how null and row spaces of matrices form orthogonal complements, providing circuit diagram representations for chemical reaction networks. In electrochemistry, he investigates diffusion-reaction-conduction processes in porous electrodes, particularly for fuel cell applications. His approach combines rigorous mathematical theory with practical scientific computing techniques to solve complex problems in energy technology. Analysis of his publication history reveals an evolving research trajectory from specific fuel cell modeling in the 1990s-2000s toward more general mathematical frameworks like Kirchhoff graphs in later years. His work consistently bridges abstract mathematical concepts with tangible electrochemical applications, demonstrating how graph theory can illuminate complex chemical reaction networks and how differential equations model physical phenomena in energy systems. His scientific recognition includes: Faculty Honors Convocation (2017) Professor Fehribach has maintained an active research program for over three decades at WPI. He has engaged with contemporary issues, authoring a 2020 opinion piece for the Telegram & Gazette on widespread COVID-19 testing strategies. While specific details about his advised students aren't provided, his sustained research output suggests significant mentorship activities. His work on mathematical modeling of electrochemical systems likely involves interdisciplinary collaborations across mathematics, chemical engineering, and materials science departments. Though not explicitly detailed in available materials, Professor Fehribach's research program likely operates within WPI's mathematical sciences infrastructure, potentially connecting with energy research centers focused on fuel cell technology and electrochemical systems where his expertise in porous electrode modeling provides critical mathematical foundations.