Find Academic Supervisors

• Wireless Communications
• 5G/6G Networks
• mmWave Networks
• +5 more

Dr. Haonan Hu is a UKRI Guarantee Postdoctoral Fellow in Wireless Communications at the School of Electrical and Electronic Engineering, University of Sheffield. His research focuses on cutting-edge wireless communication technologies including 5G/6G networks, mmWave systems, and reconfigurable intelligent surfaces (RIS). He explores network performance optimization, stochastic geometry modeling, and energy efficiency in heterogeneous and fog radio access networks. His work addresses challenges such as interference coordination, spectrum sharing between NR-U and WiGig networks, and secure communication design. Dr. Hu's research interests span theoretical modeling and practical applications in wireless networks. Key areas include over-the-air computing in IoT networks, pilot assignment algorithms for cell-free massive MIMO, and the impact of random blockages on mmWave coverage. He has also contributed to understanding trade-offs between small-cell densification and RIS deployment for indoor mmWave coverage enhancement. His recent publications analyze network coexistence strategies, fairness in spectrum sharing, and reliability in fog-RAN systems. While no specific grants or awards are listed, his active research portfolio demonstrates expertise in emerging wireless communication paradigms.

• Probability Theory
• Mathematical Physics
• Statistical Mechanics
• +3 more

Kurt Johansson is a Professor at the Department of Mathematics, KTH Royal Institute of Technology. His research focuses on probability theory, mathematical physics, and statistical mechanics, with a particular emphasis on random matrix theory and determinantal processes. He is known for groundbreaking work on the asymptotic analysis of random systems, including dimer models, tilings, and stochastic growth processes. His research group explores themes such as Coulomb gases, Airy processes, and universality in particle systems. Key research directions include the study of phase transitions in random tilings (e.g., the Aztec diamond), fluctuations in the KPZ universality class, and the interplay between random matrices and combinatorial structures. Recent work addresses the statistical mechanics of Coulomb gases on Jordan domains and the analysis of multi-time distribution in discrete growth models. These investigations often involve advanced techniques from complex analysis, orthogonal polynomials, and determinantal point processes. No scientific awards are explicitly mentioned in the text. Teaching responsibilities include courses such as Differential Equations I and Fourier Analysis. While no specific grants or labs are listed, his work forms the foundation for several probabilistic models widely studied in mathematical physics.

Matthew JosephView profile

Lecturer

• Topological Dynamics
• Measurable Dynamics
• Ergodic Theory
• +5 more

Matthew Joseph is a mathematician specializing in topological dynamics, measurable dynamics, and ergodic theory. Starting September 1, 2025, he will serve as a Lecturer at IMJ-PRG (Institut de Mathématiques de Jussieu - Paris Rive Gauche), Paris-Cité University, where he maintains his office in room 709 of the Sophie Germain Building. His educational background includes doctoral studies at UMPA (Unité de Mathématiques Pures et Appliquées) from 2019-2022, where he completed his PhD under the supervision of Damien Gaboriau with a thesis titled "Topological and measurable dynamics: allostery, quantitative orbit equivalence." Prior to his doctorate, he attended École Normale Supérieure de Lyon from 2015-2019. Between 2022-2024, he held a postdoctoral position at Laboratoire Mathématique d'Orsay supported by FMJH (Fondation Mathématique Jacques Hadamard). Joseph's research focuses on the intersection of topological and measurable dynamics, with particular emphasis on allostery (actions that are topologically free but not essentially free), quantitative orbit equivalence, and the study of isometry groups of Urysohn spaces. His work explores the relationships between invariant random subgroups and uniformly recurrent subgroups, as well as the ergodic and analytic properties of permutation groups. He has made significant contributions to understanding dissociated permutation groups, stabilizer rigidity for ergodic actions, and the classification of unitary representations for isometry groups of rational Urysohn spaces. His publications span prestigious journals including Transactions of the American Mathematical Society, Fundamenta Mathematicae, and Ergodic Theory and Dynamical Systems. His recent work demonstrates a consistent focus on the connections between group-theoretic properties and dynamical behavior, with particular attention to how metric structures on orbits can be distorted while preserving essential dynamical features. Joseph actively contributes to the mathematical community through seminar organization, having co-organized the Groups and Actions Seminar (2023-2024, 2024-2025) with Camille Horbez and the OE and Entropy Seminar (2022-2023) with François le Maître. These seminars explore cutting-edge topics in group actions, orbit equivalence, and entropy theory, bringing together researchers from across the mathematical community.

Martin Ostoja-StarzewskiView profile

Professor

• Mechanics of Random and Fractal Media
• Continuum Thermodynamics
• Stochastic Wave Propagation
• +7 more

Martin Ostoja-Starzewski is a Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign, with affiliate appointments at the Beckman Institute and The Institute for Condensed Matter Theory. His academic leadership includes editorial roles at Acta Mechanica , Journal of Thermal Stresses , and chairing the Managing Editor position for Mathematics and Mechanics of Complex Systems (2012-2023). Education: Ph.D. in Mechanical Engineering (Dean's Honour List), McGill University (1983) M.Eng. (Thesis option), McGill University (1980) Engineer's degree, Cracow University of Technology (1977) Ostoja-Starzewski's research spans stochastic mechanics , fractal materials , and non-equilibrium thermodynamics , focusing on tensor random fields (TRFs) for modeling heterogeneous media. His work established quantitative bounds for representative volume elements (RVEs) and pioneered continuum models with Second Law violations , connecting micromechanics to global material behavior. Recent publications examine fractional wave equations , stochastic homogenization , and electromagnetic shielding in nanocomposites. His editorial contributions include editing 16 books/journal issues and co-founding the Modern Mechanics and Mathematics book series. Scientific Recognition: Rothschild Distinguished Visiting Fellow (2023) Academia Europaea member (2024) European Academy of Sciences and Arts (2022) Worcester Reed Warner Medal (ASME, 2018) Timoshenko Distinguished Visitor (Stanford, 2012) He leads NSF's Industry/University Cooperative Research Center for Novel High Voltage/Temperature Materials and Structures and maintains active collaborations in computational mechanics, biomedical applications, and multiscale modeling.

Houcine Ben DaliView profile

Research Fellow

• Algebraic Combinatorics
• Enumerative Combinatorics
• Jack Polynomials
• +4 more

Houcine Ben Dali is a Benjamin Peirce Fellow at Harvard University and a postdoctoral researcher at the Center of Mathematical Sciences and Applications . He earned his PhD from Université de Lorraine in June 2024 under the supervision of Valentin Féray and Guillaume Chapuy. His research focuses on algebraic and enumerative combinatorics, particularly connections between Jack and Macdonald polynomials and combinatorial objects such as non-orientable maps and Łukasiewicz paths. Education: PhD in Mathematics, Université de Lorraine (2024), supervised by Valentin Féray and Guillaume Chapuy. His work bridges algebraic combinatorics with mathematical physics, topology, and representation theory. He investigates integrality properties in the Matching-Jack conjecture, differential equations for hypermaps, and combinatorial interpretations of symmetric functions. Notable contributions include a new formula for Macdonald polynomials, differential equations for hypermap series, and proofs of Lassalle's conjecture. His publications appear in top venues such as the Electronic Journal of Combinatorics , Combinatorial Theory , and Transactions of the American Mathematical Society . Scientific Awards: Best Student Paper Award, FPSAC 2022 Contact: Email: bendali@math.harvard.edu Office: Science Center Office 238, Cambridge MA 02138

Roozbeh GharakhlooView profile

Assistant Professor

• Riemann-Hilbert Problems
• Orthogonal Polynomials
• Random Matrix Theory
• +2 more

Roozbeh Gharakhloo is an Assistant Professor in the Department of Mathematics at UC Santa Cruz. His research focuses on analytical methods in mathematical physics, particularly Riemann-Hilbert problems and their applications to orthogonal polynomials, random matrix theory, and integrable systems. Primary research areas include asymptotic analysis of structured determinants, spectral theory of random matrices, and combinatorial aspects of mathematical physics. His work develops novel frameworks for solving complex problems in statistical mechanics and probability theory through rigorous mathematical approaches. Recent publications demonstrate advances in topological expansions of matrix models, bordered Toeplitz determinants, and combinatorial graph theory. His research bridges pure mathematics with theoretical physics applications.

• Biomedical Engineering
• Orthopedics
• Emergency Medicine
• +3 more

Dr. Gregory D. Jay is a Professor at Brown University with joint appointments in Emergency Medicine , Medicine , Engineering (Research) , and Orthopaedics . He serves as an attending physician at Rhode Island Hospital and held leadership roles including Director of Research (2006-2023) and Vice Chair of Research in Brown's Department of Emergency Medicine. Education : MD/PhD from SUNY Stony Brook Medical Scientist Training Program (1990), Emergency Medicine residency at University of Massachusetts (1990-1993) Professional Affiliation : Fellow of the American College of Emergency Physicians (1996), 1997 Top Knife graduate (military medical training) Dr. Jay's research focuses on joint lubrication mechanisms and biomedical device innovation . He identified lubricin as a critical boundary lubricant for cartilage and demonstrated its therapeutic potential in osteoarthritis. His work extends to non-invasive hemoglobin monitoring , respiratory diagnostics , and emergency medical technology including portable hyperbaric systems and automated pulsus paradoxus monitoring. He has secured multiple NIH and NSF grants for joint lubrication studies, holds 20 patents , and has authored over 190 peer-reviewed publications . His translational research bridges musculoskeletal biology with clinical applications for arthritis, sepsis, and respiratory diseases. Key Scientific Awards : Bruce M. Selya Award for Research Excellence (2004), Fellow of American College of Emergency Physicians (1996) Dr. Jay's grants include foundational work on lubricin isolation (Rhode Island Hospital, 1995-1996) and sustained NIH/NSF funding for joint lubrication mechanisms. He has developed clinical simulation systems for CPR training and medical device prototypes for emergency care settings.

Marj BatchelorView profile

Professor

• Algebraic Geometry
• Differential Topology
• Mathematical Physics
• +3 more

Dr. Marj Batchelor is a Professor in the Faculty of Mathematics at the University of Cambridge, affiliated with the Department of Pure Mathematics and Mathematical Statistics (DPMMS). Her research focuses on algebraic structures in differential topology, particularly measuring coalgebras, which provide a framework to extend geometric concepts like tangent spaces and bundles to non-traditional settings such as supersymmetric theories. This approach unifies algebraic and geometric perspectives, enabling analysis in contexts where classical manifold theory fails. Her work spans advanced topics including supermanifolds, noncommutative geometry, and applications to quantum groups. She has contributed to foundational papers on graded manifolds, equivariant mappings, and coalgebraic systems. Her office is located in Room D1.12 at DPMMS, and her research homepage can be found at https://www.dpmms.cam.ac.uk/~mb139 . Batchelor’s publications reflect a deep engagement with algebraic methods across geometry, topology, and mathematical physics, with notable contributions to the understanding of graded structures and their applications in theoretical frameworks like supersymmetry. She has also reflected on pedagogical approaches in mathematics education, emphasizing the evolution of undergraduate training.

Dmitry ChelkakView profile

Professor

• Mathematical Physics
• Probability Theory
• Statistical Mechanics
• +3 more

Dmitry Chelkak is the Keeler Professor of Mathematics at the University of Michigan's College of Literature, Science, and the Arts (LSA). His primary affiliation is within the Department of Mathematics, focusing on Probability Theory, Mathematical Physics, and Analysis. Chelkak holds a Ph.D. from the PDMI RAS (2003). His research interests center on critical phenomena in statistical physics, including the Ising model, dimer models, and conformal invariance. He has made significant contributions to understanding spin correlations, universality in lattice models, and the interplay between discrete and continuous systems. His work often employs advanced techniques from complex analysis and discrete geometry. Recent articles highlight investigations into universality in the Ising model on isoradial graphs, dimer models on planar graphs, and the application of tau-functions to cylindrical event probabilities. His studies frequently bridge combinatorial structures with probabilistic and geometric frameworks. No scientific awards are explicitly listed in the provided texts. Chelkak's advising record and grants are not detailed here, but his research has explored foundational topics in statistical mechanics and mathematical physics.

Gene HouView profile

Professor

• Computational Mechanics
• Multibody Dynamics
• Design Under Uncertainty
• +3 more

Gene Hou is a Professor in the Department of Mechanical & Aerospace Engineering at Old Dominion University (ODU), Batten College of Engineering and Technology. He joined ODU in 1983 and was promoted to full Professor in 1996. His research focuses on computational mechanics, multibody dynamics, and design under uncertainty, with applications in structural optimization, aeroelasticity, and CFD. He has led numerous grants totaling over $5.5 million in funding, including scholarships for marine engineering students and studies on fluid-structure interaction. Education: Ph.D. (Mechanical Engineering, University of Iowa, 1982), M.S. (Mechanical Engineering, National Taiwan University, 1976), B.S. (Mechanical Engineering, National Cheng Kung University, 1974). Research Highlights: Dr. Hou’s work spans design optimization, sensitivity analysis, and multidisciplinary applications. Recent projects include robust design of MEMS resonators, dynamic environment simulation laboratories, and AHP-based decision methodologies. Key technologies include discontinuous Galerkin methods, partitioned FSI algorithms, and reliability-based design frameworks. Articles Overview: Recent works emphasize fluid-structure interaction (FSI), reliability analysis, and educational innovations. Notable trends include partitioned computational approaches, stochastic modeling for structural systems, and pedagogical methods for technical disciplines. Awards: Includes the 1995 Ralph R. Teetor Educational Award, 1987 ASME Outstanding Faculty Award, and 1986 NSF Presidential Young Investigator Award. Grants & Labs: Over 50 grants funded projects on topics like friction stir welding, naval craft dynamics, and orthotic systems. Active involvement in capstone design projects for autonomous surface vehicles and marine engineering education.

Adrien KasselView profile

Researcher

• Probability
• Combinatorics
• Mathematical Physics
• +3 more

Adrien Kassel is a Researcher at CNRS based at École Normale Supérieure de Lyon, working within the Unit for Pure and Applied Mathematics (UMPA) in the Probabilities team. His research spans the intersection of probability theory, combinatorics, and mathematical physics, with particular focus on random structures on graphs and surfaces. Dr. Kassel's research centers on probabilistic combinatorial structures, especially determinantal point processes , random spanning trees and forests , and loop models . His work connects deep mathematical concepts from statistical mechanics with geometric and topological structures. He investigates scaling limits of discrete models, connections to conformal field theory, and applications to mathematical physics. His research often reveals profound connections between seemingly disparate areas of mathematics through the lens of probability. His publications demonstrate a consistent focus on the interplay between combinatorial structures and probabilistic phenomena. The research trajectory shows increasing sophistication in handling geometric aspects of random processes, with recent work exploring connections to quantum gravity and conformal field theory through Schramm-Loewner evolution. Dr. Kassel received the prestigious Paul R. Halmos - Lester R. Ford Award for his article "The Looping Rate and Sandpile Density of Planar Graphs" co-authored with David B. Wilson. This award recognizes expository excellence in mathematical writing. He has advised Héloïse Constantin, who successfully defended her PhD thesis on "Spanning forests and phase transition" in June 2023. Dr. Kassel teaches advanced courses including "Determinantal processes" at the Master's level and "Integration and Probability" at the undergraduate level. He has co-organized numerous academic events including the ICJ-UMPA probability seminar, workshops on random maps and matrices, and meetings between ENS Lyon and SISSA. As coordinator of MathαLyon from 2017-2022, he actively engaged in mathematical outreach, bringing exhibits to middle and high schools across the Lyon region. His commitment to popularization extends to writing for Images des Mathématiques and participating in various math circles and outreach programs.

LiuView profile

Professor

• Electrochemical Materials Science
• Energy Storage Systems
• Lithium Metal Batteries
• +5 more

Prof. Liu is a Professor in the Department of Nanoengineering at the University of California, San Diego. His research focuses on advancing electrochemical materials science for sustainable energy storage systems, including lithium metal batteries, solid electrolytes, and safety mechanisms. The Liu Research Group explores conversion reactions for nanomaterial synthesis and multifunctional electrochemical systems to address global climate challenges. Recently awarded the William Coles Endowed Chair, Prof. Liu leads initiatives such as the SPEC Battery Boot Camp and collaborates on projects like superamphiphobic surfaces and corrosion-resistant composites. The group’s mission emphasizes transitioning to carbon-neutral energy solutions through interdisciplinary innovation. Research themes include improving energy density in batteries, mitigating side reactions in solid electrolytes, and developing scalable nanomaterial production. Notable recent work spans materials characterization, corrosion analysis, and numerical simulations of fractional diffusion processes. The group also engages in cross-disciplinary studies, including peer victimization analysis and mental health interventions, reflecting Prof. Liu’s broader scientific impact.

Steven FlammiaView profile

Professor

• Quantum Information Theory
• Quantum Error Correction
• Quantum Computing
• +3 more

Steven Flammia is a Professor of Computer Science at Virginia Tech’s College of Engineering and Director of the Center for Quantum Architecture and Software Development at the Virginia Tech Innovation Campus. His research focuses on quantum error correction, quantum fault tolerance, and learning quantum noise dynamics. He has held prior roles at Amazon Web Services, University of Sydney, and University of Washington, with over 80 peer-reviewed publications and 9,000+ citations. Education & Experience: Postdoctoral Researcher, California Institute of Technology & Perimeter Institute (2000s) Professor at University of Sydney (2010s) Principal Research Scientist at Amazon Web Services (2020s) Research Interests: His work bridges theoretical foundations (e.g., quantum coding theory, representation theory) with practical implementations (e.g., noise modeling, quantum tomography). Key areas include developing fault-tolerant architectures, optimizing quantum error correction codes, and applying statistical learning to quantum systems. Recent Contributions: Recent papers explore Hamiltonian learning with Heisenberg limits, Zauner’s conjecture via number theory, and fiber bundle fault tolerance of GKP codes. His work emphasizes scalable quantum computing solutions under realistic noise conditions. Grants & Leadership: Leads the Center for Quantum Architecture, overseeing faculty hiring and strategic direction for quantum software/hardware integration. Collaborates on projects funded by industry and academic partnerships.

Samuel JaquesView profile

Assistant Professor

• Cryptography
• Quantum Computing
• Quantum Cryptanalysis
• +4 more

Samuel Jaques is an Assistant Professor in the Department of Combinatorics and Optimization at the University of Waterloo (since 2023). His research focuses on cryptography (particularly privacy/anonymity) and quantum computing, with notable work on quantum algorithms for cryptanalysis and the Landscapes of Quantum Computing blog. He completed a PhD at the University of Oxford and holds degrees from the University of Waterloo and University of Regina. Education: PhD, University of Oxford (supervised by Simon C. Benjamin and Christophe Petit) MMath, University of Waterloo (co-supervised by Alfred Menezes and Michele Mosca) B.Sc. in Math and Biology, University of Regina Research Interests: Jaques explores quantum computing's impact on cryptography, including post-quantum security, lattice-based algorithms, and quantum error correction. His work critiques quantum RAM assumptions and analyzes resource costs for breaking cryptographic systems like RSA and ECC. Recent projects include accumulator schemes for digital credentials and dynamic group signatures. Awards and Recognition: Best Young Researcher Paper (2019) for quantum claw-finding attacks on SIKE Advising & Grants: Jaques supervises graduate students and postdocs in cryptography/quantum computing. His lab focuses on real-world privacy solutions with a post-quantum lens. Recent advisees include Mojtaba Fadavi (postdoc) and Jérôme Guyot (visiting student). Labs/Teams: Active in the Institute for Quantum Computing (IQC) at Waterloo, collaborating on quantum algorithms and cryptographic security. Maintains open-source projects like the Q# quantum crypto library and surface code cost calculators.

David JacksonView profile

Professor

• Algebraic Combinatorics
• Enumerative Combinatorics
• Algebraic Geometry
• +3 more

David M.R. Jackson is a Professor in the Department of Combinatorics & Optimization at the University of Waterloo, within the Faculty of Mathematics. He holds a PhD from the University of Cambridge (1970) and has been affiliated with Waterloo since 1972. His research focuses on algebraic and enumerative combinatorics, with applications to algebraic geometry and quantum field theory. Jackson has co-founded the Journal of Algebraic Combinatorics and served as its managing editor. He is a Fellow of the Royal Society of Canada and a Member of the Academy of Mathematical and Physical Sciences. Education: PhD in Mathematics from the University of Cambridge (1970). Research Interests: Algebraic combinatorics, enumerative combinatorics, applications to algebraic geometry, quantum field theory, and map enumeration. Current projects include integrable hierarchies, Hurwitz problems, and the b-conjecture related to Jack symmetric functions. Students: Advised over 20 graduate students, including notable works on factorizations in symmetric groups, map enumeration, and combinatorial constructions. Publications: Over 100 papers on topics like matrix integrals, random matrices, and combinatorial enumeration. His work on Combinatorial Enumeration (with I.P. Goulden) is a key textbook. Awards: Recognitions include Fellowships from the Royal Society of Canada and contributions to mathematical literature via the Oxford English Dictionary Project.