جست‌وجوی استاد و پژوهشگر

• Applied Mathematics
• Mathematical Physics
• Neurosciences
• +۴ مورد دیگر

Professor Paul C. Bressloff holds the Chair in Applied Mathematics and Stochastic Processes at Imperial College London's Department of Mathematics within the Faculty of Natural Sciences. His research focuses on stochastic and non-equilibrium processes, particularly in molecular and cell biology, utilizing tools from probability theory, statistical physics, and dynamical systems. He authored a seminal textbook Stochastic Processes in Cell Biology (Springer), with a 2nd edition published in 2022. Previously, he led the graduate program in mathematical biology at the University of Utah from 2001 to 2023. Research interests include stochastic multi-particle systems, active particles, phase separation, and diffusion across semi-permeable interfaces. His work spans applications in neural field theory, cytoneme-mediated morphogenesis, and protein trafficking. He is affiliated with the Biomathematics Group and Mathematical Physics Group at Imperial. Recent articles explore stochastic resetting in search processes, narrow-capture problems, and hybrid models of switching diffusions. His advising includes over 20 graduate students, many now faculty in mathematical biology. His contributions bridge applied mathematics and biological systems, emphasizing interdisciplinary approaches to complex stochastic phenomena.

Prabir Burmanمشاهده پروفایل

استاد

• Nonparametric function estimation
• Model fitting/selection
• Image analysis
• +۷ مورد دیگر

Prabir Burman is a Professor in the Department of Statistics at the University of California, Davis, with a career spanning over three decades. His research focuses on nonparametric function estimation, model fitting/selection, image analysis, time series, and discrete data. Education: Ph.D. (1982) and Master of Statistics (1977) from University of California, Berkeley; Bachelor of Statistics (1976) from Indian Statistical Institute, Calcutta. His work bridges theoretical statistics and applied problems, including ecological studies (e.g., coyote parasites, mountain lion tracking), biomedical research (e.g., metabolic syndrome in bipolar patients), and time series forecasting. He has secured multiple NSF and NSA grants for projects on multivariate analysis, shape modeling, and covariance estimation. Recent publications highlight his expertise in predictive model fitting, stock return analysis, and stroke survivor studies. While not explicitly listing awards, his editorial roles (e.g., Journal of Multivariate Analysis) and collaborative grants underscore his academic leadership.

Stanislav Henclمشاهده پروفایل

استاد

• Mathematical Analysis
• Sobolev Spaces
• Geometric Function Theory
• +۳ مورد دیگر

Prof. Stanislav Hencl is a faculty member at the Department of Mathematical Analysis , Faculty of Mathematics and Physics , Charles University in Prague. His research focuses on mathematical analysis, particularly on Sobolev mappings, finite distortion theory, and their applications to nonlinear elasticity and geometric function theory. Research Interests : Sobolev spaces, geometric function theory, nonlinear elasticity, measure theory, and partial differential equations. Students : Supervised 18 PhD, master's, and bachelor's theses, including Jaromír Mielec (Sobolev mappings extensions), Ondřej Bouchala (noncompactness of Sobolev embeddings), and Anna Doležalová (nonlinear mapping classes). Key Publications : Monograph Lectures on mappings of finite distortion (Springer, 2014) and 15+ recent works on Sobolev homeomorphism properties, injectivity, and energy functionals. Contact : Office K255, Karlín campus, email Stanislav.Hencl@mff.cuni.cz and hencl@karlin.mff.cuni.cz .

• Financial Engineering
• Stochastic Processes
• Data Analytics
• +۳ مورد دیگر

Richard B. Sowers is a Professor at the University of Illinois at Urbana-Champaign, holding joint appointments in the Department of Industrial and Enterprise Systems Engineering, Mathematics, and Statistics (courtesy). He has held faculty positions since 1996, starting as an Assistant Professor in Mathematics and advancing to Professor across multiple departments. His research spans stochastic processes, financial engineering, and data analytics. He also serves as a Research Principal at the Office of Financial Research since 2012. Education: B.S. in Electrical Engineering (Drexel University, 1986), M.S. and Ph.D. in Applied Mathematics (University of Maryland, 1988 and 1991). Research Interests: Financial networks, stochastic systems, and applications in decision-making and control. His work bridges theoretical probability with practical domains like finance and healthcare. Recent articles focus on machine learning applications in gait analysis for neurological disorders and stochastic modeling in financial systems. Professional Contributions: Taught courses in stochastic calculus, deep learning, and financial mathematics. His research often involves interdisciplinary collaboration, including projects on credit risk, algorithmic trading, and wearable technology for health monitoring. Labs/Teams: Active in the Institute for Predictive and Computational Science, focusing on data-driven solutions for complex systems.

Konstantinos Spiliopoulosمشاهده پروفایل

استاد

• Stochastic Processes
• Applied Mathematics
• Probability Theory
• +۷ مورد دیگر

Konstantinos Spiliopoulos is a Professor and Director of Statistics at Boston University's Department of Mathematics and Statistics, part of the College of Arts & Sciences. He leads research in Applied Mathematics and Probability and Statistics groups, focusing on stochastic processes, machine learning, and mathematical finance. His research interests include stochastic analysis of complex systems, multiscale phenomena, and their applications to neural networks, PDEs, and financial modeling. Notable areas of study involve mean-field limits, rare event simulation, and asymptotic methods in stochastic differential equations. He has received grants such as DMS-EPSRC funding for analyzing online training algorithms in recurrent and deep neural networks. His work bridges theoretical advancements with practical applications in data science and computational methods. Spiliopoulos maintains an active presence in interdisciplinary research, addressing challenges in systemic risk, network dynamics, and optimization. His contributions span from fundamental probability theory to applied problems in engineering and finance.

Jan Martin Nordbottenمشاهده پروفایل

استاد

• Applied Mathematics
• Porous Media
• Geological CO2 Storage
• +۴ مورد دیگر

Jan Martin Nordbotten is a full-time Professor at the Department of Mathematics, University of Bergen (UiB), with adjunct positions at Princeton University and NORCE. His research focuses on applied mathematics, particularly in porous media, CO2 storage, fluid dynamics, and interdisciplinary applications in hydrology, biomedicine, and ecology. He completed his PhD at UiB in 2004 and became Norway's third youngest professor in 2007. His work emphasizes numerical methods, multiscale modeling, and experimental validation. Affiliations: UiB (full-time), Princeton (adjunct), NORCE (adjunct) Research Group: Center for Sustainable Subsurface Resources Research interests span mathematical modeling of subsurface processes, including flow in fractured media, geomechanics, and phase-field fracture. Notable contributions include analytical and numerical solutions for CO2 leakage, multiphase flow, and development of tools like DarSIA for image processing in porous media. Publications highlight advancements in mixed-dimensional models, finite element methods, and experimental validation of CO2 storage forecasts. His work bridges theoretical mathematics with practical applications in energy and environmental systems.

Roummel F. Marciaمشاهده پروفایل

استاد

• Optimization
• Signal Processing
• Data Science
• +۵ مورد دیگر

Roummel F. Marcia is a Professor and current Chair of the Department of Applied Mathematics at the University of California, Merced, within the School of Natural Sciences. He received his Ph.D. from UC San Diego under Professor Philip Gill and previously held postdoctoral positions at the San Diego Supercomputer Center and University of Wisconsin-Madison, as well as a research scientist position in electrical engineering at Duke University. His research spans multiple areas in optimization and its applications, with a focus on signal processing, data science, machine learning, linear algebra, and mathematical biology. Dr. Marcia's work has significant interdisciplinary impact, particularly in biomedical imaging, computational biology, and quantum computing applications. His research methodology often combines theoretical optimization approaches with practical applications in data-intensive fields. Dr. Marcia's recent publications demonstrate a strong trend toward integrating optimization theory with deep learning architectures, particularly in applications requiring sparse data handling, biomedical imaging, and quantum computing. His work shows increasing focus on developing novel optimization algorithms specifically designed for machine learning contexts, including quasi-Newton methods adapted for deep learning and specialized techniques for handling non-convex optimization problems. School of Natural Sciences Faculty Award for 'Developing or Improving Academic Programs and Tracks' (2021-22) Leadership roles in SIAM Activity Group on Applied Mathematics Education Recognition as a Math Alliance Mentor for supporting underrepresented students Dr. Marcia has successfully mentored numerous doctoral students to completion, with graduates moving to positions at Meta, Johns Hopkins University Applied Physics Laboratory, Lawrence Livermore National Laboratory, and other prestigious institutions. His research has been consistently funded by major agencies including NSF (with grants IIS 1741490, DMS 1840265, DMS 2229495, CCF 2343610), DARPA, and ARPA-E. As the current graduate chair of the Applied Math Graduate Program, he plays a key role in shaping the next generation of mathematical scientists. His work with the SMaRT (Scientific Mathematics Research and Training) team demonstrates his commitment to collaborative, interdisciplinary research.

Andy Lameyمشاهده پروفایل

عضو هیئت علمی

• Applied Ethics
• Political Philosophy
• Animal Ethics
• +۳ مورد دیگر

Andy Lamey is an Associate Teaching Professor in the Department of Philosophy at the University of California, San Diego (UCSD). He holds a PhD in Philosophy from the University of Western Australia (2011). His research focuses on applied ethics, political philosophy, and animal ethics, with notable works addressing topics like refugee rights, freeganism, and the ethics of food consumption. Lamey is the author of Duty and the Beast (2019) and Frontier Justice (2011), and co-creator of Justice: The Game , an educational role-immersion game for teaching political philosophy. His teaching includes courses on ethics, political philosophy, and free expression. Recent courses at UCSD include Phil 28 (Ethics & Society II) on free speech and Phil 172 (Topics in Political Philosophy) analyzing Robert Nozick’s Anarchy, State, and Utopia . Lamey’s work bridges philosophical theory with contemporary issues, including immigration policy, animal rights, and literature. Key contributions include analyses of refugee rights, critiques of jurisdictional arguments for immigration control, and explorations of animal ethics through figures like Temple Grandin. He has published over 25 peer-reviewed articles and book chapters, and his writings engage with thinkers like Plato, G.A. Cohen, and J.M. Coetzee.

• Partial Differential Equations
• Inverse Problems
• Bayesian Inference
• +۴ مورد دیگر

Dr. Masoumeh Dashti is an Associate Professor in Mathematics at the University of Sussex, UK, affiliated with the School of Mathematical and Physical Sciences. She holds a PhD in Mathematics from the University of Warwick (2008) and prior degrees in Mechanical Engineering from Sharif University of Technology and Tehran Polytechnic. Her research focuses on Partial Differential Equations, Inverse Problems, Bayesian Inference, and their applications in fluid dynamics and epidemiology. Key research interests include: Bayesian approaches to inverse problems, sparsity-promoting estimators, uncertainty quantification, and mathematical modeling of epidemics on networks. She has contributed to foundational work on Besov priors and MAP estimator consistency in nonparametric Bayesian frameworks. Her publications span topics like network inference from epidemic data, contraction rates of posterior distributions, and fluid-structure interaction problems. She has secured grants including 'Two-dimensional stochastically perturbed shallow water equations' (2019-2023) and 'Confronting High Dimensional Network Models With Data' (2018-2022). Currently, she serves as an Associate Editor for SIAM-ASA Journal on Uncertainty Quantification and AIMS Foundations of Data Science . Teaching expertise includes Functional Analysis, Partial Differential Equations, and Calculus of Several Variables at both undergraduate and postgraduate levels.

Mike Tehranchiمشاهده پروفایل

مدرس

• Mathematical Finance
• Stochastic Analysis
• Probability Theory
• +۳ مورد دیگر

Dr. Mike Tehranchi is a faculty member at the University of Cambridge, affiliated with the Statistical Laboratory within the Department of Pure Mathematics and Mathematical Statistics (DPMMS) . His research focuses on mathematical finance, stochastic processes, and probability theory. He holds a Lecturer position and is actively involved in academic research, with notable contributions to financial models, term structure analysis, and stochastic calculus. His work bridges theoretical probability and applied finance, addressing topics such as interest rate modeling, implied volatility, and optimal investment strategies. Tehranchi’s research often intersects with optimization, statistical methods, and interdisciplinary applications in astrophysics and fluid dynamics. He maintains an active publication record and contributes to the academic community through his role in the Statistical Laboratory. Key research trends in his articles include the analysis of financial derivatives, stochastic processes in market dynamics, and the application of advanced mathematical techniques to real-world financial problems. His work emphasizes rigorous theoretical foundations while addressing practical challenges in quantitative finance. Dr. Tehranchi has no listed students or academic awards in the provided texts. He can be reached via email and is based in Room D1.04 at the Statistical Laboratory.

Arno Bergerمشاهده پروفایل

استاد

• Dynamical Systems
• Ergodic Theory
• Benford's Law
• +۵ مورد دیگر

Dr. Arno Berger is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. He holds a Dipl.Ing. (ME) and Dipl.Ing. (MSc) in Mechanical Engineering and Applied Mathematics from TU Wien (Vienna University of Technology), followed by a Dr. techn (PhD) and Habilitation in Applied Mathematics from the same institution. His research focuses on dynamical systems, ergodic theory, Benford's Law, nonautonomous dynamics, bifurcation theory, applied probability, and dimensional analysis. He has held visiting positions at prestigious institutions including Georgia Tech, University of Warwick, Goethe University Frankfurt, and University of Canterbury. His recent work includes studies on Saint-Venant-Polya inequalities, planar curves with position-dependent curvature, and distributions of logarithmic functions. He co-authored the seminal book An Introduction to Benford's Law (2015), and maintains the Benford Online Bibliography. His teaching spans courses like Differential Equations and Real Variables. Dr. Berger’s research has explored Benford’s Law in diverse contexts, from stochastic processes to finite-time dynamics. His articles often bridge theoretical insights with practical applications, emphasizing the ubiquity of Benford’s Law in mathematical systems.

• Stochastic Analysis
• Rough Analysis
• Functional Ito Calculus
• +۵ مورد دیگر

Prof. Rama Cont is a Statutory Professor of Mathematics at the University of Oxford and a Professorial Fellow at St Hugh's College . He serves as Director of the Centre for Doctoral Training in Mathematics of Random Systems , Faculty Member of the Stochastic Analysis Group , and Senior Research Fellow at the Institute for New Economic Thinking . Additional roles include Director of the Oxford Martin Programme on Systemic Resilience , Principal Investigator at the Oxford Suzhou Centre for Advanced Research , and Editor-in-Chief of Mathematical Finance . His research interests span pathwise methods in stochastic analysis, rough analysis, functional Ito calculus, mathematical modeling in finance, systemic risk, and data-driven decision systems. Recent publications focus on causal transport, rough volatility, and deep residual networks, reflecting his interdisciplinary approach to mathematics and finance. Functional Ito calculus and pathwise integration Rough volatility and financial market dynamics Systemic risk in financial networks Deep learning applications to finance and stochastic processes He has received prestigious awards including the Louis Bachelier Prize , SIAM Fellowship, Royal Society APEX Award, and IMA Fellowship. His editorial roles and seminar leadership underscore his influence in mathematical finance and stochastic analysis.

• Twistor Theory
• Integrable Systems
• Differential Geometry
• +۳ مورد دیگر

Professor Maciej Dunajski is a University Professor of Mathematical Physics at the Faculty of Mathematics, University of Cambridge, and a Senior Lecturer at Clare College Cambridge. His career spans institutions including Oxford and Cambridge, with roles ranging from Tutorial Fellow to Senior Research Associate. He holds a DPhil from the Mathematical Institute, Oxford, and was awarded the title of Professor by the President of Poland in 2011. University Professor of Mathematical Physics, Faculty of Mathematics, University of Cambridge (2021–present) University Reader in Mathematical Physics, University of Cambridge (2020–2021) Fellow at Clare College Cambridge (2003–present) Author of Solitons, Instantons & Twistors (Oxford University Press, 2009) His research focuses on Twistor Theory , Integrable Systems , and Differential Geometry , with significant contributions to self-dual gravity, Einstein-Weyl structures, and geometric solutions to nonlinear equations. His work bridges mathematics and theoretical physics, including applications to quantum gravity and black hole thermodynamics. Dunajski's recent publications highlight advancements in conformal geometry, null Kähler structures, and higher-dimensional relativity. His collaborations span researchers like K. P. Tod, R. Penrose, and L. Mason. He is based in Room B2.14 at DAMTP, Cambridge, and maintains an active research group in high-energy physics.

Ebrahim Sarabiمشاهده پروفایل

دانشیار

• Variational Analysis
• Optimization
• Parametric Optimization
• +۲ مورد دیگر

Ebrahim Sarabi is an Associate Professor in the Department of Mathematics at Miami University, located in Oxford, Ohio. He holds a Ph.D. in Applied Mathematics from Wayne State University. His primary research interests focus on variational analysis, optimization, and parametric optimization, with an emphasis on numerical algorithms and applications in continuous optimization. Dr. Sarabi's research explores advanced topics such as tilt-stable minimizers, epi-differentiability, and the role of subgradients in polyhedral functions. His work often intersects with second-order variational analysis and composite optimization problems. His contributions span theoretical developments and practical algorithmic advancements in optimization. His publications from 2020–2025 highlight trends in augmented Lagrangian methods, smoothness of subgradient mappings, and primal-dual convergence analysis. Notable themes include the study of partly smooth functions, spectral functions, and generalized Newton algorithms. No scientific awards were explicitly mentioned in the provided texts. He advises no listed students or research teams, though his work involves collaborations in parametric optimization and variational systems. His office is located in Bachelor Hall, and he can be reached via email at sarabim@miamioh.edu .

Arthur Bousquetمشاهده پروفایل

دانشیار

• Applied Mathematics
• Numerical Analysis
• Computational Fluid Dynamics
• +۳ مورد دیگر

Arthur Bousquet is an Associate Professor of Mathematics at Lake Forest College, affiliated with the Math and Computer Science department. He holds a PhD in Applied Mathematics from Indiana University (Bloomington, IN) and a MS in Engineering in applied mathematics and scientific computing from SuP Galilee Engineering School (Paris, France). His research focuses on numerical methods for partial differential equations, including finite volume and finite element techniques, with applications to geophysical fluid dynamics, climate modeling, and biomedical problems like viral shell mechanics. Notable areas include shallow water equations, phase field modeling, and computational methods for atmospheric dynamics. Bousquet has published extensively on topics such as numerical weather prediction, electrokinetic equations, and virus nanoindentation modeling. His work often combines theoretical analysis with computational simulations to address complex systems in fluid dynamics and materials science. He has received the Rothrock Award for teaching excellence (2014) and held research fellowships including an NSF Graduate Fellowship (2009-2013). His teaching includes courses like Computational Mathematics, Multivariable Calculus, and Real Analysis.