Find Academic Supervisors

Jacopo De SimoiView profile

Professor

• Hyperbolic Dynamics
• Billiards
• Rigidity
• +4 more

Jacopo De Simoi is a Professor in the Department of Mathematics at the University of Toronto, holding appointments at both the St. George and Mississauga campuses. His research focuses on dynamical systems, particularly hyperbolic dynamics, billiards, and rigidity phenomena. He has held roles at institutions like Université Paris Diderot and the University of Maryland, College Park, and currently teaches courses such as Game Theory and Real Analysis. His work explores the interplay between deterministic systems and stochastic processes, with contributions to topics like Fermi acceleration and KAM theory. Education: Ph.D. in Mathematics from the University of Maryland (2009), Diploma di Licenza in Physics from Scuola Normale Superiore (2005), and M.Sc./B.Sc. in Physics from Università di Pisa. Research interests include stochastic properties of dynamical systems, conservative dynamics, and the ergodic theory of billiards. He has published extensively on spectral rigidity, entropy rigidity, and applications of renormalization group techniques. His recent work addresses inverse problems in billiard geometry and the statistical behavior of fast-slow systems. Teaching includes undergraduate and graduate courses in analysis, calculus, and dynamical systems. Collaborations span institutions globally, and he serves on editorial boards for journals like Communications in Mathematical Physics.

Jayson PauloseView profile

Associate Professor

• Theoretical Soft Matter Physics
• Biophysics
• Evolutionary Dynamics
• +3 more

Jayson Paulose is an Associate Professor of Physics at the University of Oregon, affiliated with the College of Arts and Sciences and the Institute for Fundamental Science. His research spans theoretical soft matter physics, biophysics, evolutionary dynamics, and metamaterials design, focusing on the intersection of topology, geometry, and statistical mechanics in artificial and biological systems. Academic Roles: Faculty member in the Department of Physics, Director of the MSTC Program. Research Themes: Designer matter (topological and active metamaterials), biological systems (elasticity of thin shells, evolutionary genetics), and mechanical principles in soft structures. Collaborations: Partners with experimentalists and theorists in physics, materials science, and biology at UO and institutions like Leiden University. Lab: Paulose Group, which includes graduate and undergraduate researchers, explores problems such as topological protection in metamaterials and genetic propagation in populations. Research Interests include: Topological soft matter: Using symmetry and geometry to design materials with robust mechanical properties. Evolutionary dynamics: Modeling the impact of long-range dispersal on genetic diversity and population structure. Elastic mechanics: Analyzing thin shells and membranes relevant to biological systems. Active matter: Studying non-equilibrium systems like rotating dimer particles and synthetic metamaterials. Publications reflect his interdisciplinary focus, with recent work (2023–2024) on mechanical metamaterials, elastic shells, and stochastic population genetics, and earlier contributions to active spinner materials and topological protection in biological systems. Education & Training of students in his lab emphasizes theoretical rigor and computational techniques, with alumni transitioning to postdoctoral positions and industry roles in mechanical engineering, data science, and software development. Contact: jpaulose@uoregon.edu | Office: 375 Willamette Hall, University of Oregon.

Michael MolloyView profile

Professor

• Graph Theory
• Probabilistic Method
• Random Graphs
• +2 more

Michael Molloy is a Professor in the Department of Computer Science at the University of Toronto, with a cross-appointment to the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC). He teaches courses in Discrete Mathematics and the Probabilistic Method, including CSC/MAT A67 and CSC2427/MAT1500 . Research Focus: Graph Theory, Probabilistic Methods, Random Graphs, Constraint Satisfaction Problems, and Markov Chain analysis. His work includes foundational contributions to graph coloring, such as adaptable/conflict coloring and correspondence coloring, and exploring phase transitions in random graphs. He has supervised numerous graduate students, including Lora Hrisch, Jurgen Aliaj, and Hamed Hatami, advancing combinatorial and algorithmic research. Recent publications analyze random graph processes, the freezing threshold for k-colorings, and the resolution complexity of constraint satisfaction problems. These studies intersect theoretical computer science, combinatorics, and probabilistic modeling, often revealing deep structural insights through rigorous mathematical proofs.

Niels Anne Jacob ObersView profile

Professor

• String Theory
• Quantum Field Theory
• Gravity
• +7 more

Niels Anne Jacob Obers is a Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Theoretical High Energy, Astroparticle, and Gravitational Physics. He leads research in string theory, quantum field theory, and gravity, with a focus on non-relativistic gravity, holography, and higher-dimensional black holes. Education: PhD in Physics (1991) from the University of California, Berkeley, and earlier studies at Universiteit Nijmegen (cum laude Drs, 1987). His research spans AdS/CFT correspondence , black hole dynamics , non-perturbative string dualities , and non-Lorentzian geometries . He has published extensively on matrix theories, gravitational solitons, and the interplay between string theory and holography. Recent work explores non-relativistic string theory and its applications to gravity and thermodynamics. Scientific awards include a CERN-Fellowship . He teaches foundational and advanced courses such as General Relativity , Advanced Quantum Field Theory , and String Theory . Fluent in Dutch, English, and Danish, with proficiency in French and German.

Yakov B. PesinView profile

Professor

• Dynamical Systems
• Nonuniform Hyperbolicity Theory
• Partial Hyperbolicity Theory
• +11 more

Yakov B. Pesin is a Distinguished Professor in the Department of Mathematics at the Pennsylvania State University, within the Eberly College of Science. He is also the Director of the Anatole Katok Center for Dynamical Systems and Geometry, a leading research hub in dynamical systems. He holds a tenured, full-time faculty position and is actively engaged in research and academic leadership. B.S./M.S. in Mathematics, Moscow State University (1970) Ph.D. in Mathematics, Gorky State University (1979) Pesin's research is centered on dynamical systems , with profound contributions to nonuniform hyperbolicity theory (known as Pesin Theory), partial hyperbolicity , ergodic theory , dimension theory , and mathematical physics . His work underpins the mathematical understanding of deterministic chaos, particularly through the Pesin entropy formula , which links entropy to Lyapunov exponents. He has also made seminal advances in the study of SRB measures, geodesic flows, and coupled map lattices. The trends in his recent publications (2016–2023) reveal a sustained focus on extending thermodynamic formalism to non-uniformly hyperbolic and partially hyperbolic systems, constructing SRB measures via geometric methods, analyzing equilibrium states , and exploring multifractal and dimensional properties of invariant measures. His collaborations span leading figures in the field, and his work appears in top-tier journals such as Annals of Mathematics , Communications in Mathematical Physics , and Ergodic Theory and Dynamical Systems . Pesin has received numerous honors, including: Fellow of the American Mathematical Society (Inaugural Class, 2012) Member of Academia Europaea (2019) Member of the American Academy of Arts and Sciences (2023) Michael Brin Prize in Dynamical Systems He has advised many PhD students and contributed significantly to mathematical education through the MASS program at Penn State. While specific student names are not listed in the provided texts, his role as a thesis advisor is explicitly mentioned. Pesin has also been invited to deliver distinguished lectures worldwide, including at SIAM and AMS meetings and the Bernoulli Lecture series. His research is supported by long-standing academic and collaborative networks rather than specific grant details mentioned here. He leads the Anatole Katok Center, which fosters interdisciplinary research in dynamics and geometry.

Christian A ParkinsonView profile

Assistant Professor

• Mathematical Modeling
• Applied Mathematics
• Computational Mathematics
• +5 more

Christian A Parkinson is an Assistant Professor at Michigan State University , affiliated with the Departments of Mathematics and Computational Mathematics, Science and Engineering. His research spans mathematical modeling, computational methods, and interdisciplinary applications in epidemiology, control theory, and differential geometry. Research Interests : Mathematical epidemiology, path planning algorithms, reaction-diffusion systems, stochastic modeling, differential geometry, and network science. Email : chparkin@msu.edu His recent publications focus on: Hamilton-Jacobi equations for optimal path planning in multi-agent systems Reaction-diffusion models for epidemics with human behavior Differential geometry approaches to hyperbolic surfaces Network models for disease-opinion coevolution Environmental crime modeling using level sets He teaches MTH 890: Readings in Mathematics , emphasizing advanced computational and theoretical frameworks.

Thomas G. J. ChandlerView profile

Assistant Professor

• Applied Mathematics
• Fluid Dynamics
• Solid Mechanics
• +5 more

Thomas G. J. Chandler is an Assistant Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill, with his office located in Phillips Hall 396. Prior to joining UNC Chapel Hill, he was a Van Vleck Visiting Assistant Professor in the Department of Mathematics at the University of Wisconsin-Madison. Dr. Chandler completed his MMath and DPhil in the Oxford Centre for Industrial and Applied Mathematics at the Mathematical Institute, University of Oxford. His doctoral research, supervised by Prof. Dominic Vella, explored the mechanics of thin elastic materials and their interaction with soft matter. His postdoctoral research at Wisconsin, supervised by Prof. Saverio Spagnolie, focused on the interaction of anisotropic fluids with soft matter. Dr. Chandler's research focuses on solving physically motivated problems using applied mathematics techniques, particularly asymptotic, numerical, and complex analysis. His primary research areas include fluid dynamics (especially nematic liquid crystals and active matter), solid mechanics (particularly thin elastic materials), and mathematical biology. He investigates how active stresses in anisotropic fluids interact with deformable bodies, how geometry affects the rigidity of thin elastic sheets, and how turgor pressure influences cellular structures in biological systems. His research combines analytical methods, particularly complex variable techniques, with numerical simulations to address problems at the intersection of mathematics, physics, and biology. Dr. Chandler's work has revealed fundamental insights into phenomena such as curvature-induced rigidity in thin elastic materials, the mechanics of pressurized cellular sheets, and the interaction of deformable bodies with active nematic fluids. Dr. Chandler has published extensively in high-impact journals including Physical Review Research, Journal of Fluid Mechanics, SIAM Journal on Applied Mathematics, and Proceedings of the Royal Society A. His research demonstrates a consistent trajectory from fundamental mathematical theory to applications in materials science and biological systems. As an educator, Dr. Chandler teaches a variety of mathematics courses at UNC Chapel Hill. In Fall 2025, he will be teaching Math 383: First Course in Differential Equations. His previous teaching includes courses in Linear Algebra, Differential Equations, Applied Dynamical Systems, and The Theory of Single Variable Calculus. At the University of Oxford, he served as a Class Tutor and Teaching Assistant for graduate-level courses in Fluid Mechanics, Elasticity, and Solid Mechanics.

Jorge ViñalsView profile

Professor

• Soft Matter Physics
• Materials Science
• Biomechanics
• +5 more

Jorge Viñals is a Professor at the School of Physics and Astronomy , University of Minnesota, and Director of Graduate Studies. His research focuses on theoretical and computational studies of nonequilibrium phenomena in extended systems, with applications to Soft Matter Physics, Materials Science, and Biomechanics. Affiliation: Director of Graduate Studies, School of Physics and Astronomy Institution: University of Minnesota Collaborations: Minnesota Supercomputing Institute, University of Oslo, Cornell, Carnegie Mellon His work examines mesoscale theories of systems outside thermodynamic equilibrium, particularly unstable interfaces and moving topological defects. Current projects include studies of chiral symmetry breaking in nematic liquid crystals, field dislocation mechanics in defected solids, and biomechanics of epithelial tissue with orientational order. Recent publications highlight computational approaches to nematic defect structure , topological charge quantification , and plasticity modeling . Key journals include Soft Matter , Proceedings of the Royal Society A , and Physical Review B . Key collaborators: Lucas Myers, C.D. Schimming, Luiza Angheluta, Manas Upadhyay Grants: NSF-funded projects on active matter and liquid crystal dynamics, Department of Defense research on intraosseous catheters

Florian ZaussingerView profile

Professor

• Thermal Convection
• Fluid Dynamics
• Astrophysics
• +6 more

Prof. Florian Zaussinger is a faculty member at the Faculty of Applied Computer and Life Sciences at Mittweida University of Applied Sciences. His research focuses on thermal convection, fluid dynamics, and numerical simulations in both geophysical and astrophysical contexts. He has contributed extensively to studies on microgravity experiments, including the GeoFlow and AtmoFlow projects conducted on the International Space Station (ISS). University: Mittweida University of Applied Sciences Faculty: Applied Computer and Life Sciences Department: Mathematics Contact: +49 3727 58-1381 | florian.zaussinger@hs-mittweida.de | Building 6, Room 6-131 His research involves advanced numerical modeling of complex fluid systems, including spherical convection, dielectric heating, and double-diffusive processes. He has developed and applied computational tools like the ANTARES code to simulate convection in DA white dwarfs, planetary atmospheres, and Earth's mantle. His work bridges theoretical fluid mechanics with experimental validation in space-based microgravity environments. Recent publications highlight his expertise in thermo-electrohydrodynamic convection, planetary fluid flow analysis, and microgravity-induced instabilities. While the scraped data does not list scientific awards or students directly, his academic profile emphasizes interdisciplinary collaboration with engineering and life sciences, particularly in applied mathematics for fluid dynamics and experimental data processing.

Damiano PiovesanView profile

Associate Professor

• Protein function prediction
• Intrinsically disordered proteins (IDPs)
• Machine learning in bioinformatics
• +5 more

Damiano Piovesan is Associate Professor in Bioinformatics (SSD BIO/10) at the Department of Biomedical Sciences , University of Padua , Italy. Since March 2022 he has held this rank, having previously served as Assistant Professor (2022) and PostDoc researcher (2019) in the same department. Education 2013 – PhD in Biotechnology, Pharmacology and Toxicology, University of Bologna 2009 – MSc in Bioinformatics, University of Bologna 2007 – BSc in Biotechnology, University of Bologna Research Focus Piovesan’s research integrates machine-learning approaches with structural bioinformatics to advance understanding of intrinsically disordered proteins (IDPs) and protein function prediction . He develops widely used resources such as MobiDB for disorder annotation, DisProt for functional curation of disordered regions, and RING for residue interaction networks. Additional interests include tandem repeat proteins , cancer-related IDP targets , and community benchmarking initiatives (CAFA, CAID, CAGI). Publication Trends His 2024–2025 output is dominated by updates to flagship databases ( InterPro , DisProt , MobiDB ), next-generation disorder predictors leveraging deep learning ( PredIDR , MobiDB-lite 4.0 ), and large-scale genomics challenges ( CAGI6 ). Across the decade, recurring themes include methodological advances in disorder prediction, creation of interoperable bioinformatics platforms, and rigorous benchmarking to ensure community-wide reliability. Scientific Awards No specific awards are listed in the provided materials. Advising & Grants No individual students or grant details are explicitly supplied; however, his leadership in multi-institutional consortia (e.g., InterPro, DisProt, CAFA) implies substantial supervisory and funding coordination roles. Labs & Teams Piovesan is affiliated with the BioComputingUP Lab ( https://biocomputingup.it/ ) at the University of Padua, a hub for computational biology and bioinformatics tool development.

Brandon ShuckView profile

Assistant Professor

• Solid-Earth Geophysics
• Tectonic Processes
• Active-Source Seismic Imaging
• +5 more

Brandon Shuck is an Assistant Professor in the Department of Geology & Geophysics at Louisiana State University (LSU), part of the College of Science. His research focuses on solid-earth geophysics, particularly tectonic processes within plate boundaries and mature tectonic settings. He uses active-source seismic reflection and wide-angle ocean-bottom seismometer data to image subsurface lithospheric architecture and integrate interdisciplinary datasets including bathymetry, borehole logs, and geodynamic models. Education: Ph.D. in Geological Sciences (2021) from the University of Texas at Austin; B.S. in Geology (Petroleum Emphasis) and Mathematics (2015) from Western Colorado University. Previously served as a Postdoctoral Fellow at Lamont-Doherty Earth Observatory, Columbia University (2021–2024). Research Interests: Tectonic evolution of the lithosphere at plate boundaries, feedbacks between lithospheric stress and fluid-rock interactions, geologic hazards related to subduction zones, and mantle dynamics during continental breakup. Active projects include studies of subduction initiation in the Tyrrhenian Sea, megathrust fault segmentation in Cascadia, and water content in the Cocos Plate offshore Mexico. Current opportunities include an NSF-funded PhD position (starting Fall 2025) investigating mantle dynamics during early Atlantic seafloor spreading, involving seismic data acquisition on the R/V Langseth. His group emphasizes collaborative, interdisciplinary approaches combining seismic imaging, field geology, and modeling. Awards: None explicitly listed, though his work has been supported through NSF funding and institutional grants. Lab/Team: Directs the LSU Solid-Earth Geophysics Research Group, which integrates geophysical data analysis with field observations to address tectonic questions at multiple scales.

Shiguo JiangView profile

Associate Professor

• Geospatial Information Technologies
• Land Use/Land Cover Change
• Forest Ecosystem Dynamics
• +4 more

Shiguo Jiang is a tenured Associate Professor in the Department of Geography, Planning, and Sustainability at the University at Albany's College of Arts and Sciences. Currently on sabbatical during Fall 2025, he maintains active research leadership through the Spatial Analysis Laboratory. His affiliations extend to the PhD Program in Information Science (College of Emergency Preparedness, Homeland Security and Cybersecurity) and the MS Program in Biodiversity, Conservation, and Policy (Department of Biological Sciences), reflecting his interdisciplinary approach. Dr. Jiang's educational background includes a PhD from Ohio State University (2012), an MS from Peking University (2004), and dual BS/BA degrees from Peking University (2001). His research integrates geospatial technologies with spatial statistics to investigate land use dynamics, forest ecosystems, and human-environment interactions. Key application areas include urban systems analysis, climate change modeling, and crime pattern detection, with notable fieldwork in the Maya Forest of Belize. His publication portfolio reveals an evolution from urban fractal analysis (early Beijing studies) toward integrated socio-ecological research, with recent emphasis on crime geospatial modeling and climate-ecosystem interactions. The 15 most recent articles demonstrate methodological innovation in remote sensing reconstruction and spatial statistics, applied across environmental, criminological, and public health domains. Dr. Jiang actively mentors graduate students across departments including Geography, Sociology, Information Science, and Criminal Justice. While currently unable to fund Graduate Research Assistants, he collaborates with students who secure external funding. His Spatial Analysis Laboratory requires technical proficiency in programming (Python/R/Matlab) and geospatial software, welcoming undergraduates through postdoctoral researchers with relevant skills.

Yuan GaoView profile

Assistant Professor

• Partial Differential Equations
• Computational and Applied Mathematics
• Stochastic Analysis
• +7 more

Yuan Gao is an Assistant Professor of Mathematics at Purdue University's Department of Mathematics (College of Science). His research focuses on analysis and computations of PDEs in materials science, biology, and microfluidics, with recent emphasis on optimal control, Hamilton-Jacobi equations, and non-equilibrium chemical reactions. His work is supported by NSF awards DMS-2204288 and DMS-2440651. Previously, he held the William W. Elliott Assistant Research Professor position at Duke University (2019-2021). Research interests include PDE analysis in materials science (crystal growth, dislocation dynamics), numerical methods for interface dynamics, applied stochastic analysis (Langevin dynamics, transition path theory), and mean-field games for fluid systems. He organizes the PSU-Purdue-UMD Joint Seminar on Mathematical Data Science. Key publications span topics like dislocation evolution, Wasserstein gradient flows, and stochastic algorithms for rare events. Awards include NSF CAREER funding recognizing his contributions to mathematical analysis of non-equilibrium systems.

• Climate Resilience
• Building Physics
• Urban Heat Island Effect
• +3 more

Tristan Kershaw is a Senior Lecturer at the University of Bath's Department of Architecture & Civil Engineering. His research focuses on climate resilience, building physics, and urban microclimate adaptation. He holds an MPhys (2004) and PhD in low-temperature solid-state physics (2008) from the University of Exeter. His work explores how urban design and green/blue infrastructure can mitigate climate change impacts on buildings and communities. He has led projects funded by EPSRC, the Royal Academy of Engineering, and the EU, addressing topics like heatwave mitigation, sustainable land management, and climate adaptation in underserved regions. Key contributions include the CIBSE Napier Shaw Medal (2012) for developing probabilistic future weather models. His research emphasizes long-term building sustainability, thermal comfort, and nature-based solutions for urban resilience. He collaborates internationally and actively supervises doctoral students in climate change resilience, urban heat islands, and zero-carbon design. Education: MPhys (Exeter, 2004), PhD (Exeter, 2008) Affiliations: Centre for Climate Adaptation & Environment Research (CAER), Centre for Regenerative Design & Engineering (RENEW) Grants: EPSRC-funded projects on urban green infrastructure and heatwave impacts Recent projects include designing climate-resilient buildings in Qatar and developing urban models for thermal observation. His work aligns with UN SDGs related to climate action (SDG13) and sustainable cities (SDG11).

• Partial Differential Equations
• Shape Optimization
• Numerical Analysis
• +3 more

Arian Novruzi is a Full Professor in the Department of Mathematics and Statistics at the University of Ottawa, Faculty of Science. His expertise lies in partial differential equations (PDEs), shape optimization, numerical analysis, and mathematical modeling. He holds an MSc from the University of Tirana and a PhD from the University of Nancy. His research integrates theoretical and applied mathematics, with a focus on fluid dynamics, biomedical applications, and engineering challenges. Education: MSc in Mathematics, University of Tirana PhD in Mathematics, University of Nancy Dr. Novruzi’s research interests include the analysis and numerical solutions of PDEs, optimization of geometric shapes for engineering systems, and modeling of complex physical phenomena such as blood flow and tumor radiation therapy. His work bridges pure mathematics with practical applications, addressing problems in fluid mechanics, materials science, and biomedical engineering. His recent publications highlight advancements in non-diffusive neural network methods for hyperbolic conservation laws, blood flow modeling using Navier-Stokes equations, and the optimization of convex domains for energy maximization. These studies emphasize both theoretical rigor and computational innovation. Awards: No scientific awards explicitly mentioned in the provided texts. Dr. Novruzi has supervised students such as Terence C. Ngouoko. His grants and collaborations are not detailed here, but his research has implications for energy-efficient engineering designs and medical treatments. He has authored a Springer textbook on PDEs, reflecting his commitment to educational resources in mathematical sciences.