جستجوی استاد راهنمای دانشگاهی

Brent Pym is an Associate Professor in the Department of Mathematics and Statistics at McGill University. His research focuses on the intersection of differential, algebraic, and noncommutative geometry, with a particular emphasis on Poisson varieties and deformation quantization. He has held academic positions at the University of Edinburgh, University of Oxford, and was a Postdoctoral Fellow at McGill and the University of Toronto. Education: BScE in Engineering Physics, Queen's University (2007) MSc in Mathematics, University of Toronto (2008) PhD in Mathematics, University of Toronto (2013) Research Interests: Pym studies Poisson structures, their quantizations, and connections to mathematical physics. His work involves classical/derived algebraic geometry, D-modules, moduli spaces, the Stokes phenomenon, and multiple zeta values. Recent projects include holonomic Poisson manifolds, log symplectic structures, and software for symbolic calculations in deformation quantization. Awards: Lichnerowicz Prize (2018) Advising & Grants: Pym has openings for graduate students (admission 2026) and undergraduate projects (2026–27). He develops the Star Products software package for symbolic calculations in Poisson brackets and quantization. His work is supported by research collaborations and institutional grants. Labs & Teams: Pym collaborates with researchers in geometry and mathematical physics, contributing to projects in noncommutative algebra and geometric quantization. His software tools enhance symbolic computation in these fields.

• Mathematical Physics
• Algebraic Geometry
• Noncommutative Geometry
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Dr. Jean-Christophe Nave is an Associate Professor in the Department of Mathematics and Statistics at McGill University, specializing in applied mathematics, numerical analysis, and computational methods. His research focuses on numerical methods for partial differential equations, fluid mechanics, interface problems, and computer graphics. He holds a PhD from UCSB (2004) and has held academic positions at MIT and McGill since 2005. Currently, he serves on committees such as the Steering Committee of the Institut des Sciences Mathematiques and the CRM Applied Mathematics Lab. His educational background includes a PhD under Professors Xu-Dong Liu and Sanjoy Banerjee. Key research areas include level set methods, fluid-structure interaction, and invariant numerical methods. Notable works include the Correction Function Method for interface problems and the Characteristic Mapping Method for advection problems. Nave’s publications span topics like Poisson equations with discontinuous coefficients, fluid dynamics simulations, and high-order numerical schemes. He has advised numerous graduate and undergraduate students, contributing to their research in applied mathematics and computational science. His work bridges theoretical rigor and practical applications in engineering and physics. He teaches advanced courses such as Numerical Analysis I/II and Computational Methods in Applied Mathematics. His research group collaborates on projects involving fluid dynamics, elasticity, and geometric algorithms, with a focus on developing robust numerical tools for complex systems.

• Numerical analysis
• Partial differential equations
• Level set methods
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Chen Greif is a Professor in the Department of Computer Science at the University of British Columbia (UBC). His research focuses on numerical linear algebra, iterative solvers, preconditioning techniques, and scientific computing. He has held editorial roles in SIAM journals and book series, and served as Head of the Department of Computer Science from 2016 to 2020. Greif co-authored the SIAM bestselling textbook A First Course in Numerical Methods and has published extensively in top journals. Education: Ph.D., Mathematics, University of British Columbia, 1998 M.Sc., Mathematics, Tel Aviv University, 1994 B.Sc., Mathematics, Tel Aviv University, 1991 Research Interests: Scientific computing, numerical linear algebra, iterative methods for sparse linear systems, saddle-point systems, and elliptic PDEs. His work emphasizes preconditioning techniques and numerical stability. Publications Trends: Recent work includes multigrid methods for complex systems, preconditioners for saddle-point matrices, and eigenvalue bounds analysis. His contributions bridge theory and applications in computational science and engineering. Awards: SIAM Fellow (2022) CAIMS Research Prize (2023) Multiple teaching awards (2025, 2024, 2017, 2006, 2004) Advising & Grants: Greif has advised numerous students and contributed to grants in numerical methods and computational science. He has led major conferences (e.g., International Conference on Preconditioning Techniques, 2017) and served on SIAM committees. Labs/Teams: Engaged in interdisciplinary research groups at UBC, focusing on numerical algorithms and their applications in fluid dynamics, image processing, and computational geometry.

• Scientific Computing
• Numerical Linear Algebra
• Iterative Solvers
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Eckhard Meinrenken is a Professor in the Department of Mathematics at the University of Toronto , specializing in Symplectic Geometry , Mathematical Physics , Lie Theory , and Differential Geometry . His research spans geometric structures in infinite-dimensional settings, including Hamiltonian loop group spaces, Dirac geometry, and applications of equivariant cohomology. Fellow of the Royal Society of Canada (FRSC) Author of influential monographs such as Clifford Algebras and Lie Theory (Springer, 2013) and Manifolds, Vector Fields and Differential Forms (Springer, 2023) Research Trends: Recent work focuses on moduli spaces, singular weightings, Manin pairs, and Verlinde formulas, bridging symplectic geometry with algebraic and topological invariants. His publications emphasize geometric quantization, Poisson structures, and infinite-dimensional Lie theory. Scientific Awards: Fellow of the Royal Society of Canada (FRSC) Collaborations: Frequent collaborations with researchers like Anton Alekseev, Yiannis Loizides, and David Li-Bland on problems in symplectic topology, loop groups, and Dirac geometry.

• Symplectic Geometry
• Mathematical Physics
• Lie Theory
• +۱ مورد دیگر

Professor Alexandre Odesskii is a faculty member in the Department of Mathematics and Statistics at Brock University, holding the position of Professor of Mathematics. His research focuses on Mathematical Physics, with a particular emphasis on algebraic and geometric structures arising from quantum field theory, statistical mechanics, and integrable systems. He has contributed significantly to areas such as Poisson structures, elliptic curves, and Yang-Baxter equations. His work bridges advanced algebraic geometry with theoretical physics, often exploring noncommutative algebra and functional equations. His academic journey and educational background are not explicitly detailed here. However, his publications reflect deep engagement with topics like integrable systems in hydrodynamic contexts, deformation theory, and the interplay between geometric structures and quantum mechanics. He teaches courses such as Partial Differential Equations (MATH 3P09), Ordinary Differential Equations (MATH 2P08), and Advanced Differential Equations (MATH 3P08). While no specific awards are listed, his extensive publication record in top-tier journals like *Communications in Mathematical Physics* and *Journal of Geometry and Physics* underscores his scholarly impact. His research often involves collaborations on topics such as elliptic algebras, quantum groups, and moduli spaces, reflecting a global network of academic partnerships.

• Mathematical Physics
• Quantum Field Theory
• Statistical Mechanics
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Miroslav Grmela is a Researcher at the Department of Chemical Engineering in Polytechnique Montréal , and a member of the Research Center for High-Performance Polymer and Composite Systems (CREPEC) . His work spans thermodynamics, transfer processes, and multiscale modeling of complex fluids. Grmela’s research focuses on non-equilibrium thermodynamics , contact geometry in kinetic dynamics , and mesoscopic theories of polymer suspensions, superfluids, and nanocomposites. He has extensively explored the role of energy and entropy in multiscale systems, with recent publications addressing geometric formulations of thermodynamics and neural network applications to non-symplectic mechanics. Analysis of his 15 most recent articles reveals trends in multiscale thermodynamics , non-Fourier heat conduction , GENERIC formalism , and quantum hydrodynamics . His work often bridges geometric mechanics with thermodynamic consistency. Grmela has supervised 10 graduate students (7 PhD, 3 Master’s) in projects involving nanocomposite thermal conductivity , polymer rheology , and powder suspension simulations . He has no listed scientific awards. His research intersects with fluid dynamics , polymer science , and statistical mechanics , emphasizing mathematical structures like Poisson brackets and Hamiltonian formulations . The CREPEC laboratory provides institutional support for his studies on polymers and composites.

• Thermodynamics
• Transfer processes
• Mesoscopic dynamics
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Giulio Tiozzo is an Associate Professor in the Department of Mathematics at the University of Toronto, affiliated with both the St. George and Scarborough campuses. His research lies at the intersection of dynamical systems, ergodic theory, and geometry, with strong connections to complex analysis, probability, and group theory. Institution: University of Toronto School: Faculty of Arts and Science Department: Department of Mathematics Rank: Associate Professor Campus Offices: BA 6206 (St. George), IC 495 (Scarborough) Email: tiozzo@math.utoronto.ca His research focuses on dynamical systems and ergodic theory , particularly entropy in complex and real dynamics, random walks on groups, and thermodynamic formalism. He investigates the structure of the Mandelbrot set, core entropy of polynomials, and geometric group actions. His work combines deep theoretical insights with algorithmic and computational approaches, as seen in his exploration of Thurston’s master teapot and entropy algorithms. The 15 most recent publications reveal a sustained focus on entropy, fractal geometry, and probabilistic group actions. Themes include the continuity and computation of core entropy, thermodynamic formalism for expanding systems, boundary theory for random walks on hyperbolic groups, and metric properties of group actions. His work spans pure mathematics with links to computer science and statistical mechanics. Scientific Awards: 2018 Sloan Research Fellowship (Alfred P. Sloan Foundation) Research and Advising: Giulio Tiozzo leads an active research program supported by NSERC and the Sloan Foundation. He mentors graduate students and postdoctoral researchers, and contributes to academic life through seminars, public lectures, and participation in programs at the Fields Institute. He has delivered invited talks and lecture series internationally, including at ICTS-TIFR, ICERM, and Warwick. Labs and Teams: While not leading a formal lab, Tiozzo collaborates extensively with researchers in dynamical systems and geometry. He is involved in thematic programs at the Fields Institute, such as the 2024 program on Randomness and Geometry, and contributes to the academic community through organized seminars and collaborative research projects.

• Dynamical Systems
• Ergodic Theory
• Complex Analysis
• +۵ مورد دیگر

Rook Bridson is an Adjunct Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Imager and SCL labs. He holds a PhD from Stanford University (2003) and degrees from the University of Waterloo (MMATH '99, BMATH '98). His research focuses on fluid simulation, physical effects in computer graphics, and computational physics, with applications in visual effects and animation. Bridson has contributed to industry through co-founding Exotic Matter AB, creators of the Naiad fluid simulation software acquired by Autodesk. He has been recognized with an Oscar Technical Achievement Award and multiple teaching awards at UBC. Education: PhD in Computer Science, Stanford University, 2003 Master of Mathematics (MMATH), University of Waterloo, 1999 Bachelor of Mathematics (BMATH), University of Waterloo, 1998 Research Interests: Bridson’s work spans fluid dynamics, computational physics, and their applications in film and animation. His research emphasizes realistic simulation techniques, including fluid animation with explicit surface meshes, particle-based methods, and numerical algorithms for handling complex physical phenomena. He has developed influential tools like Naiad, used in major films such as Avatar and Harry Potter . Industry Contributions: Co-founder of Exotic Matter AB (developer of Naiad) Senior Principal Research Scientist at Autodesk Contributions to studios like Weta Digital and Double Negative VFX Grants & Awards: Oscar Technical Achievement Award (Academy of Motion Picture Arts and Sciences) 2012 and 2008 CS Department Teaching Awards (UBC) Best Technical Paper Award (ACM SIGGRAPH/Eurographics Symposium on Computer Animation) Labs & Teams: Active in UBC’s Imager Lab and SCL Lab, focusing on fluid simulation, geometric modeling, and real-time animation techniques. Collaborates with industry partners on advancing visual effects technology.

• Computer Graphics
• Fluid Simulation
• Physical Simulation
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Nicolas Doyon is a Professor at the Department of Mathematics and Statistics , Université Laval, Canada. His research bridges mathematical modeling and neuroscience , focusing on ion transport, neural networks, and neurodegenerative diseases. He collaborates with experimentalists and companies like Doric Lenses . Education: B.Sc., Université Laval M.Sc., University of Montreal Ph.D., Theoretical Mathematics Postdoctoral Fellowship, Quebec City Institute of Mental Health Research Interests: Dr. Doyon investigates chloride homeostasis via the KCC2 cotransporter , its role in synaptic inhibition, and implications for diseases like epilepsy and autism. He develops finite element models for Poisson-Nernst-Planck equations to study electrodiffusion in complex neural geometries. Scientific Awards: Star Teacher (2016, Faculty of Science and Engineering) NSERC Individual Grant (35K$/year, 2014-2019) FQRNT Establishment Grant (20K$/year, 2013-2015) Students: Supervises Ph.D. and Master's students including Tahmineh Azizi (dynamical systems), Frank Boahen (dendritic spines), and Vincent Ouellet (analytic number theory).

• Computational Neuroscience
• Mathematical Modeling
• Poisson Nernst Planck Equations
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Peter D. Minev is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, Canada. His research specializes in computational fluid dynamics, numerical methods for partial differential equations (PDEs), and large-scale simulations for scientific and engineering problems. He develops advanced algorithms for incompressible Navier-Stokes equations, fluid-structure interaction, multiphase flows, and magnetohydrodynamics (MHD). Education: MSc and PhD from Sofia University, Bulgaria. Research Focus: Minev's work spans: High-order time-stepping schemes and splitting methods for complex PDEs Fictitious domain approaches for fluid-structure interaction Parallel algorithms for supercomputing applications Modeling of multiphysics phenomena (e.g., porous media flows, phase-field equations) He has created benchmark results for 3D lid-driven cavity flows and simulations of particle sedimentation/bubble dynamics. Publications: His recent articles (2014–2021) focus on: Efficient splitting schemes for stress/vorticity formulations High-order adaptive time integration Algorithms for spherical/heterogeneous geometries Applications in fuel cells, geophysics, and biomechanics A consistent theme is minimizing computational complexity while maintaining accuracy.

• Computational Fluid Dynamics
• Numerical Analysis
• Fluid-Structure Interaction
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Florian Girelli is Associate Professor and Associate Chair of Graduate Studies in Applied Mathematics at University of Waterloo. His research investigates loop quantum gravity, non-commutative geometry, and emergent gravity models. He holds a PhD from Université de Provence and completed postdoctoral research in Sydney, SISSA, and Perimeter Institute. Research explores mathematical foundations of quantum gravity and phenomenological implications. Current work examines teleparallel gravity symmetries and group field theory formulations. Affiliated with Perimeter Institute and Erlangen Institute of Quantum Gravity.

• Loop Quantum Gravity
• Non-Commutative Geometry
• Quantum Gravity Phenomenology
• +۱ مورد دیگر

Peter Berg is the Dean of the Faculty of Mathematics & Science at Brock University and holds the rank of Professor in the Department of Physics. He earned a PhD in Mathematics from the University of Bristol and a Diplom in Physik from the University of Muenster. His research focuses on applied mathematics and theoretical physics, particularly electro-kinetic fluid flows in electrochemical energy systems like fuel cells. He has secured over $4.0m in funding from agencies such as NSERC, CFI, and international collaborations. Berg has authored/edited 45+ journal papers, 15 conference proceedings, and a book on sustainability dilemmas. Education & Professional Background - PhD in Mathematics, University of Bristol, UK - Physik Diplom, University of Muenster, Germany - Former Chair of the Department of Science at the University of Alberta (2015-2022) - Leadership roles including NTNU Leadership Program and Gold College Leadership Program Research Contributions Berg’s work bridges applied mathematics and electrochemical engineering, with emphasis on pore-network models for PEM fuel cells, nanofluidic energy conversion, and water management in energy systems. His studies address challenges in renewable energy storage and efficiency, leveraging computational and analytical methods. Teaching & Mentorship Berg advocates for student-driven learning environments and has developed innovative curricula including the 3-11 academic calendar at the University of Alberta. He supervises postdoctoral fellows, PhD/MSc students, and undergraduate researchers, emphasizing computational physics and numerical methods in coursework. Outreach & Leadership Organized major international workshops such as “Nanoscale Physics of Electrochemical Media” (2021) and public lectures on energy sustainability. Active in global education initiatives like the computational-physics platform project at the University of Eswatini (2021-2023).

• Applied Mathematics
• Theoretical Physics
• Electro-kinetic Fluid Flows
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Francis Bischoff is an Assistant Professor in the Department of Mathematics & Statistics at the University of Regina, part of the Topology and Geometry research group. His research focuses on the intersection of complex algebraic geometry, Poisson geometry, theoretical physics, and modern geometric tools like Lie groupoids. He explores generalized complex geometry, non-commutative geometry, and moduli spaces of singular flat connections. Previously, he was a Junior Research Fellow at Exeter College and the University of Oxford, and a postdoctoral fellow at the Fields Institute during the thematic program on Homological Algebra of Mirror Symmetry. He earned his Ph.D. in Mathematics from the University of Toronto under Marco Gualtieri, where his thesis introduced a novel approach to generalized Kähler geometry using holomorphic symplectic Morita equivalences. Bischoff’s publications span topics like logarithmic connections, moduli stacks, and brane quantization. He is actively recruiting graduate students interested in geometry and mathematical physics.

• Complex Algebraic Geometry
• Poisson Geometry
• Theoretical Physics
• +۴ مورد دیگر

Manuele Santoprete is a Professor and Director of the MS2Discovery Research Institute at Wilfrid Laurier University's Faculty of Science, Department of Mathematical Sciences. His research focuses on applied mathematics, celestial mechanics, chaotic dynamics, geometric mechanics, dynamical systems, and mathematical sociology. His work includes studies on N-body problems, central configurations, bifurcations, and social dynamics modeling. Key research areas involve analyzing relative equilibria, collision dynamics in celestial systems, and developing mathematical frameworks for social phenomena like radicalization and de-radicalization. He has contributed to both classical mechanics problems (e.g., Suslov problem, anisotropic potentials) and interdisciplinary applications (e.g., countering extremism models). Recent Themes: Central configurations uniqueness, vortex dynamics bifurcations, and geometric mechanics in non-Euclidean spaces. Publications: Over 40 peer-reviewed articles since 2000, emphasizing celestial mechanics and interdisciplinary mathematical modeling. Labs/Teams: Leads research through the MS2Discovery Research Institute, focusing on interdisciplinary mathematical sciences.

• Applied Mathematics
• Celestial Mechanics
• Chaotic Dynamics
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Ping Wang is a Professor at York University in the Department of Electrical Engineering & Computer Science , Lassonde School of Engineering . She is an IEEE Fellow , York Research Chair , and Distinguished Lecturer of the IEEE Vehicular Technology Society . Previously, she was an Associate Professor at Nanyang Technological University (NTU) in Singapore. Education: Ph.D. in Electrical and Computer Engineering, University of Waterloo, 2008 MASc in Electrical and Information Engineering, Huazhong University of Science and Technology, 1997 B.E. in Electrical and Information Engineering, Huazhong University of Science and Technology, 1994 Research Interests: Her research spans wireless communications , Internet of Things (IoT) , machine learning , cloud computing , and smart grid energy management . She focuses on radio resource allocation, network design, performance analysis, and optimization for heterogeneous wireless networks. Future directions include ultra-low power IoT communications, resilient systems, and interdisciplinary integration with power grids and cloud systems. Scientific Awards: IEEE Fellow (2022) Top 2% Stanford Researcher Clarivate Highly-cited Researcher Best Paper Awards: IEEE WCNC (2012, 2022), IEEE ICC (2007), IEEE ComSoc GCC (2018) Best Survey Paper Award, IEEE ComSoc (2023) Teaching & Advising: She teaches undergraduate and graduate courses in communication networks, mobile communications, and digital signal processing. She actively supervises Master’s, PhD, and postdoctoral researchers. Current advisees include Hongda Wu, Farnaz Niknia, and Justin Gouge. She is open to recruiting new students and visiting scholars. Professional Roles: She serves as Associate Editor-in-Chief of IEEE Communications Surveys & Tutorials , Editor-in-Chief of the IEEE VTS Resource Centre, and on the editorial boards of multiple top journals. She has chaired and co-chaired numerous IEEE conferences and symposia.

• Wireless Communications
• Internet of Things (IoT)
• Machine Learning
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