جست‌وجوی استاد و پژوهشگر

• Partial Differential Equations
• Stochastic Processes
• Functional Analysis
• +۳ مورد دیگر

Dr. Zeev Sobol is a Senior Lecturer in Mathematics at Swansea University's School of Mathematics and Computer Science. His research focuses on elliptic and parabolic partial differential equations, functional analysis, and stochastic processes. He has contributed to studies on semigroup theory, nonlinear analysis, and mathematical physics. Dr. Sobol teaches modules such as Fundamental Geometry (MA-004), Credibility, Liability and Ruin (MA-274), and Probability and Statistics for Finance (MA-M49). His work includes analysis of Einstein's Brownian motion model, stability of solutions to Forchheimer equations, and singular solutions to elliptic inequalities. His research spans over two decades, with notable contributions to operator theory and infinite-dimensional stochastic systems. Research Highlights: Key contributions include revisiting Einstein's Brownian motion model (2023), analyzing semigroups with singular coefficients (2017), and exploring degenerate quasi-linear parabolic equations (2011). Dr. Sobol collaborates on international projects and maintains an active presence in academic publishing, with works featured in journals like the Proceedings of the London Mathematical Society and Annals of Probability . His teaching reflects expertise in actuarial science and mathematical finance, integrating programming tools like R for statistical analysis.

• Geometric Mechanics
• Differential Geometry
• Numerical Analysis
• +۳ مورد دیگر

George Patrick is an academic with a focus on geometric mechanics, differential geometry, and numerical analysis. He served as an Instructor from 2010 to 2020, teaching advanced mathematics courses including Calculus II-IV, Differential Equations, and Differential Geometry. His research emphasizes theoretical and computational aspects of dynamical systems, nonholonomic mechanics, and variational integrators. He developed CPOLYCC, a C++ library for multiprecision characteristic polynomial calculations, addressing precision challenges in numerical linear algebra. Research Interests: Geometric Mechanics, Hamiltonian Systems, Numerical Stability Analysis, Nonholonomic Dynamics, Variational Principles, and Computational Geometry. Publications: Over 15 key articles spanning 1985–2023, including foundational work on variational integrators, nonholonomic systems, and stability analysis of relative equilibria. His work bridges pure mathematics and computational methods, with applications in robotics, fluid dynamics, and dynamical systems. The CPOLYCC library demonstrates his focus on precision-critical numerical algorithms, addressing challenges in high-dimensional matrix computations.

Chongchun Zengمشاهده پروفایل

استاد

• Applied Dynamical Systems
• Nonlinear Partial Differential Equations
• Fluid Dynamics
• +۷ مورد دیگر

Chongchun Zeng is a Professor in the School of Mathematics at Georgia Institute of Technology since 2009, previously holding roles at the University of Virginia and New York University's Courant Institute. His research focuses on applied dynamical systems and nonlinear PDEs, particularly fluid dynamics, nonlinear waves, and invariant manifold theory. Education PhD in Mathematics (1997), Brigham Young University Bachelor of Mathematics (1993), Nankai University, China Research Interests Explores regularity and dynamics of nonlinear PDEs, invariant manifolds in semiflows, and applications to fluid equations (e.g., water waves) and Schrödinger-type systems. Recent work addresses stability of traveling waves, spectral analysis of linearized operators, and inviscid damping phenomena. Awards & Grants Sloan Fellowship (2004) AMS Fellow (2019) NSF grants (2003–present, including DMS-2350115 for fluid dynamics research) Grants & Collaborations Analysis of Fluids and Nonlinear Waves (NSF DMS-2350115, 2024–2027) Studies on gravity water waves and nonlinear Schrödinger equations Lab/Team Affiliation Active in Georgia Tech's School of Mathematics research groups focused on PDEs and dynamical systems.

Omar Ghattasمشاهده پروفایل

استاد

• Computational Geosciences
• Inverse Problems
• Uncertainty Quantification
• +۹ مورد دیگر

Dr. Omar Ghattas is a Professor and the Ernest & Virginia Cockrell Chair in Engineering at The University of Texas at Austin, leading the Center for Computational Geosciences within ICES. He holds courtesy appointments in Computer Science, Biomedical Engineering, the Institute for Geophysics, and the Texas Advanced Computing Center. His research focuses on computational geosciences, inverse problems, and large-scale simulation of geophysical and biological systems. Prior to UT Austin, he was a professor at Carnegie Mellon University for 16 years, earning degrees from Duke University (BS, MS, PhD, 1984–1988). Education: BS, MS, PhD in Engineering from Duke University (1984–1988). Affiliations: Director of the KAUST-UT Austin Alliance, member of multiple editorial boards, and recipient of prestigious awards including the Gordon Bell Prize. His research interests span computational geosciences, inverse problems, uncertainty quantification, and high-performance computing. Key areas include mantle convection modeling, seismic wave propagation, ice sheet dynamics, and subsurface flows. He has pioneered methods for large-scale inverse problems on supercomputers, addressing challenges in computational efficiency and statistical rigor. Recent work emphasizes real-time Bayesian inference for disaster prediction (e.g., tsunamis) and advanced neural operator techniques for high-dimensional Bayesian inverse problems. His publications explore topics like derivative-informed neural operators, multifidelity sampling, and scalable computational frameworks for geophysical applications. Awards: Allen Newell Medal, Gordon Bell Prize, SIAM Fellowship, and multiple HPC awards. Grants & Leadership: Directorships of ICES research centers and international alliances, funded by NSF and DOE. Labs/Teams: The Center for Computational Geosciences in ICES, collaborations with KAUST, and leadership in interdisciplinary computational science initiatives.

Michele Coti Zelatiمشاهده پروفایل

استاد

• Partial Differential Equations
• Infinite-Dimensional Dynamical Systems
• Fluid Dynamics
• +۴ مورد دیگر

Michele Coti Zelati is a Royal Society University Research Fellow and Professor of Mathematics at Imperial College London's Department of Mathematics within the Faculty of Natural Sciences. Her research focuses on partial differential equations, particularly infinite-dimensional dynamical systems, fluid dynamics, and nonlocal equations, supported by grants from the EPSRC Horizon Europe Guarantee and Royal Society. She contributes to editorial boards of journals including the Journal of Functional Analysis and Proceedings of the Royal Society of Edinburgh Section A: Mathematics. Current affiliation: Imperial College London (Faculty of Natural Sciences, Department of Mathematics) Previous roles: Chapman Fellow (Imperial), Brin Postdoctoral Fellow (University of Maryland) Key research areas include: Enhanced dissipation and mixing mechanisms Stability of shear and stratified flows Stochastic effects in fluid dynamics Dynamo action and magnetic field amplification Asymptotic behavior of PDEs Scientific awards: Royal Society University Research Fellowship EPSRC Horizon Europe Guarantee grant (EP/X020886/1) Former ERC-StG STABLE-CHAOS grant She teaches courses on partial differential equations, statistical mechanics in fluid flows, and Landau damping, with historical teaching roles spanning stochastic differential equations to advanced calculus. Her work appears in top journals like Archive for Rational Mechanics and Analysis, Communications in Mathematical Physics, and Annals of PDE.

• Partial Differential Equations
• Numerical Analysis
• Wave Propagation
• +۵ مورد دیگر

Dr. Martin Halla is a Junior Research Group Leader at the Karlsruhe Institute of Technology (KIT), specifically within the Institute for Applied and Numerical Mathematics, which operates under the Department of Mathematics. He assumed this faculty position in 2025 after completing several prestigious postdoctoral appointments. Dr. Halla completed his PhD at TU Wien in 2019 with the exceptional honor of "Promotio sub auspiciis Praesidentis rei publicae" in 2021, a distinction reserved for outstanding doctoral achievements in Austria. His academic path included postdoctoral positions at RICAM (2024-2025), University of Göttingen (2022-2024, 2020-2021), and the Max Planck Institute for Solar System Research in Göttingen (2021-2022, 2019-2020). His research focuses on advanced mathematical techniques for wave phenomena across multiple physical domains. He specializes in the analysis and numerical methods for partial differential equations, with particular expertise in wave propagation (acoustics, elasticity, electromagnetism, plasmonics, meta materials, stellar oscillations), eigenvalue problems (holomorphic, non-selfadjoint), transparent boundary conditions (perfectly matched layers, infinite elements), compatible discretizations (T-coercivity), and target signatures in inverse scattering. His work bridges theoretical mathematical analysis with practical computational methods. Dr. Halla's recent publications reveal a strong emphasis on developing robust numerical frameworks for complex wave phenomena, particularly addressing challenges with sign-changing coefficients, anisotropic media, and dispersive materials. His research shows a consistent trajectory toward creating innovative solutions for previously intractable wave propagation problems. DFG Sonderforschungsbereich 1173 "Wave Phenomena: Analysis and Numerics" (2025-present) DFG Emmy-Noether Project "T-coercivity and Target Signatures in Computational Wave Propagation" (2025-present) DFG Sachbeihilfe Project on "Analysis of eigenvalue problems arising in qualitative methods for inverse scattering" (2022-2024) Dr. Halla actively contributes to the academic community through organizing conferences and workshops, including a minisymposium at the Conference on Mathematics of Wave Phenomena (2025), the Spring School on "Novel Imaging Techniques with Waves" (2024), and serving on the organizing committee for the 11th Applied Inverse Problems Conference (2023).

Marc Chamberlandمشاهده پروفایل

استاد

• Differential Equations
• Number Theory
• Classical Analysis
• +۳ مورد دیگر

Marc Chamberland is a Professor and the Department Chair of Mathematics and Statistics at Grinnell College. He holds the endowed Myra Steele Professorship in Natural Sciences and Mathematics. He received his B.M., M.M., and Ph.D. degrees from the University of Waterloo. His research spans differential equations, number theory, classical analysis, experimental mathematics, discrete dynamics, and combinatorics. Specific interests include the 3x+1 problem, Ducci sequences, the Jacobian Conjecture, and combinatorial identities. With NSF grant support, he has developed materials to integrate computer discovery into mathematics education. Awards: Myra Steele Professor of Natural Sciences and Mathematics (endowed chair) He mentors students in research and collaborates widely, with over 50 publications and 20 co-authors.

• Functional Analysis
• Operator Theory
• Several Complex Variables
• +۷ مورد دیگر

Francisco Javier Falco Benavent is an Associate Professor in the Department of Mathematical Analysis at the Faculty of Mathematics, University of Valencia, Spain. His research is centered on functional analysis, operator theory, and several complex variables. He is a member of the research group ESALDI (Spaces and Algebras of Differentiable Functions), focusing on holomorphic functions and norm-attaining operators. His research interests include: Functional Analysis and Operator Theory Norm-attaining operators and multilinear maps Several complex variables and holomorphic functions Polynomial convexity and invariant polynomials Hypercyclicity and linear dynamics Approximation theory in complex analysis The trends in his recent publications reflect a deep engagement with the interplay between algebraic structures and analytic properties in infinite-dimensional spaces. His work often explores separation theorems, Bishop-Phelps-type properties, and algebrability in function spaces, with a strong emphasis on group-invariant structures and boundary behavior in complex domains. He has collaborated extensively with leading mathematicians such as Manuel Maestre, Domingo García, Richard Aron, and Paul Gauthier. While no scientific awards are explicitly mentioned, his consistent publication record in high-quality journals like Advances in Mathematics , Journal of Mathematical Analysis and Applications , and Studia Mathematica underscores his active and impactful research presence. He completed his PhD in 2014 at the University of Valencia under the supervision of Dr. Domingo García Rodríguez, Dr. Manuel Maestre Vera, and Dr. Pilar Rueda. There is no indication of part-time status, retirement, or former staff status—he appears to be an active, full-time faculty member.

Sorin Micuمشاهده پروفایل

استاد

• Partial Differential Equations
• Control Theory
• Numerical Analysis
• +۳ مورد دیگر

Sorin Micu is a Professor in the Department of Mathematics at the Faculty of Mathematics and Natural Sciences, University of Craiova, Romania. He is actively involved in research and teaching, with a strong focus on partial differential equations and their control. University: University of Craiova School: Faculty of Mathematics and Natural Sciences Department: Department of Mathematics Email: sd_micu@yahoo.com Office: Room 309, Central Building, AI Cuza 13, 200585 Craiova, Romania Research Interests: His primary research areas include the control of partial differential equations (PDEs), numerical analysis of PDEs, and mathematical modeling. He investigates controllability properties of various PDEs such as the heat, wave, Schrödinger, and Korteweg-de Vries equations, often using tools like Carleman estimates, duality methods, and finite element approximations. His work bridges theoretical analysis with numerical simulation, particularly in the context of semidiscretized and discrete systems. Publication Trends: The articles span from 1995 to 2017, showing sustained contributions in control theory for PDEs. The research evolves from classical equations (heat, wave) to more complex models (nonlocal, degenerate, nonlinear), with increasing focus on numerical approximation and discrete controllability. Keywords consistently revolve around controllability , stabilization , numerical methods , and nonlinear dynamics . Scientific Projects: Bilateral Contract Romania-France (2009–2010), Capacities Program, Module III Bilateral Project Romania-France (English version) Project PN-II-ID-PCE-2011-3-0257 Teaching and Advising: Professor Micu teaches courses such as Numerical Analysis, Algorithmics and Numerical Simulation in C++, Modeling and Simulation, and Finite Element Methods at both undergraduate and master’s levels. While formal advisees are not listed, his teaching and research supervision likely involve mentoring graduate students. He offers consultations every Thursday from 15:00 to 16:00 in Room 309. Laboratories and Teams: He is affiliated with research groups working on PDE control and numerical analysis at the University of Craiova. His collaboration with French institutions indicates participation in international research networks focused on applied mathematics and control theory.

Marko Lindnerمشاهده پروفایل

استاد

• Functional Analysis
• Numerical Analysis
• Operator Theory
• +۸ مورد دیگر

Marko Lindner is a Professor at the Institute of Mathematics, Hamburg University of Technology (TUHH), where he holds the Chair of Applied Analysis. His research lies at the intersection of functional analysis and numerical analysis, particularly focusing on the spectral and Fredholm theory of infinite matrices and linear operators. He has led significant research projects funded by the European Union through Marie-Curie grants and has collaborated with institutions and industries including BAE Systems, UK Met Office, and Schlumberger Ltd. Hamburg University of Technology (TUHH), Institute of Mathematics Chair of Applied Analysis Email: lindner@tuhh.de Office: Room 3,094, Building E, Am Schwarzenberg-Campus 3, D-21073 Hamburg His research interests include operator theory, spectral theory, pseudospectra, finite section methods, discrete Schrödinger operators, and applications in mathematical physics and wave scattering. He investigates the stability and convergence of numerical approximation schemes for infinite-dimensional operators, with deep theoretical contributions to limit operator theory and collective compactness. The recent publications highlight a strong trend in spectral approximation of non-selfadjoint operators, particularly Schrödinger-type operators with periodic, aperiodic, and random potentials. His work combines rigorous functional analytic foundations with computational insights, often involving pseudospectra, condition number asymptotics, and subword-based approximation techniques. The integration of numerical methods with spectral theory is a consistent theme, especially in the context of wave propagation and scattering problems. Scientific awards include: Individual Marie-Curie Fellowship (EU, 2005–2007) Individual Marie-Curie Grant (EU, 2008–2011) Marko Lindner has supervised various research projects, particularly in the areas of wave scattering in unbounded domains and the spectral analysis of infinite matrices. His collaborations span applied mathematics, mathematical physics, and engineering, with funding from both public and private sectors. He is actively involved in the academic community, organizing events such as the Operator Theory Workshop and participating in SIAM & GAMM Chapter activities. He leads and contributes to research teams working on applied operator theory, with a focus on developing stable and efficient numerical methods for complex physical systems. His work bridges theoretical operator algebras and practical computational techniques.

Bozenna Pasik-Duncanمشاهده پروفایل

استاد

• Stochastic Adaptive Control
• System Identification
• Stochastic Systems
• +۵ مورد دیگر

Bozenna Pasik-Duncan is a Professor of Mathematics at the University of Kansas, with courtesy appointments in Electrical Engineering & Computer Science (EECS) and Aerospace Engineering (AE). She holds affiliations with the Information and Telecommunication Technology Center (ITTC) and is a Chancellor’s Club Teaching Professor. Her research focuses on stochastic adaptive control, stochastic systems, and STEM education. Pasik-Duncan has held prestigious roles in IEEE, IFAC, and SIAM, including Chair of the Technical Committee on Control Education and Deputy Chair of IEEE CSS Technical Committee on Control Education. She is an IFAC Fellow, IEEE Fellow, and recipient of numerous awards, including the Kemper Award and KU Chancellor’s Club Teaching Professorship. Education: M.Sc. in Mathematics from Warsaw University (1970), Ph.D. and Habilitation from Warsaw School of Economics (1978, 1986). Active in global academic leadership, she has organized international conferences and workshops, promoting control education and outreach. Her work bridges research and teaching, emphasizing interdisciplinary STEM approaches. Awards and Recognitions: Includes the HOPE Award, L. Hay Award, Steeples Service to Kansas Award, and recognition in the KU Women’s Hall of Fame. She is an advocate for women in STEM, founding the KU AWM Student Chapter and leading initiatives like Mathematics Awareness Month. Professional Contributions: Editor-in-Chief of Springer’s 'Women in Control Around the Globe,' and founder of the Women in Control (WIC) group. Her involvement spans IEEE WIE, IFAC Technical Board, and leadership roles in control education at global venues.

George Vossenمشاهده پروفایل

استاد

• Optimal Control
• Partial Differential Equations
• Numerical Methods
• +۴ مورد دیگر

George Vossen serves as Professor of Applied Mathematics and Computer-Aided Simulation at the Department of Engineering and Computer Science, Niederrhein University of Applied Sciences. He holds the administrative position of Chairman of the University Examination Board and teaches core mathematics courses including Mathematik 1 and 2 for bachelor programs, Numerische Methoden for master programs, and Angewandte Mathematik - Optimierung as an elective. His office is located in room B 410 with consultation hours by email appointment. Professor Vossen's research focuses on optimal control theory for partial differential equations with industrial applications. His work develops mathematical models for laser cutting processes to minimize surface roughness and stabilize melt flow boundaries, optimizes charging protocols for lithium-ion batteries using electro-chemical models, and advances model reduction techniques for complex systems. He has made significant contributions to switching time optimization in bang-bang control and proper orthogonal decomposition methods for parabolic control problems. His publication record from 2010-2018 demonstrates consistent interdisciplinary work bridging mathematics with engineering challenges. The research shows strong thematic continuity in developing numerical methods for real-world optimal control problems, with applications spanning laser technology, energy systems, and biomedical engineering. His collaborative approach is evident through numerous co-authored publications addressing practical industrial constraints.

Ivan B. Penkovمشاهده پروفایل

استاد مدعو

• Lie Theory
• Representation Theory
• Algebraic Geometry
• +۲ مورد دیگر

Ivan B. Penkov is an Adjunct Professor of Mathematics at Constructor University Bremen, Germany, with a distinguished career in Lie theory, representation theory, and algebraic geometry. He earned his Master's degree from Moscow State University (1982) and Ph.D. from Steklov Mathematical Institute (1987). His academic journey includes tenured professorships at the University of California at Riverside (1991-2004) and a long-standing professorship at Jacobs University Bremen (2004-2023), followed by his current adjunct role. Education: Master in Mathematics, Moscow State University (1982) Candidate of Physical and Mathematical Sciences (PhD), Steklov Mathematical Institute (1987) Penkov's research focuses on representations of finite and infinite-dimensional Lie algebras and superalgebras, generalized Harish-Chandra modules, geometry of supermanifolds, and homogeneous ind-spaces. His work bridges pure mathematics with mathematical physics, emphasizing infinite-dimensional structures and their applications. Recent publications highlight advancements in bounded weight modules for Lie superalgebras at infinity, topological tensor representations, and automorphism groups of ind-varieties of generalized flags. These works reflect his deep engagement with categorification, geometric methods, and infinite-dimensional algebraic structures. Scientific awards and grants include multiple NSF and DFG grants, a Volkswagen Foundation grant, and the Batsheva de Rothschild Fellowship (2023). He has coorganized significant conferences and programs, such as the California Lie Theory Program and the German-Israeli workshop on symplectic geometry and representation theory. Penkov's advisees include PhD and MSc students like Aleksandr Fadeev, Elitza Hristova, Siarhei Markouski, and Todor Milev, many of whom have contributed to Lie theory and algebraic geometry. He has also mentored postdocs and collaborated with institutions worldwide, including Yale University, UC Berkeley, and the Max Planck Institute of Mathematics in Bonn.

Wilfrid Gangboمشاهده پروفایل

استاد

• Calculus of Variations
• Nonlinear Analysis
• Partial Differential Equations
• +۷ مورد دیگر

Wilfrid Gangbo is a Professor of Mathematics at UCLA, specializing in nonlinear analysis, partial differential equations, and calculus of variations. He received his Ph.D. from EPFL (Switzerland) in 1992 and maintains active research in mathematical physics and optimization theory. Research interests focus on: Calculus of variations and nonlinear PDEs Optimal transport theory and Wasserstein spaces Mean field games and kinetic theory Functional analysis with applications to fluid mechanics Recent publications demonstrate strong focus on: Hamilton-Jacobi equations in metric spaces Structure of Wasserstein spaces Connections between optimal transport and game theory Regularity theory for polyconvex energies Professional activities include founding EcoAfrica, an organization supporting mathematical sciences in African countries through workshops and collaborative projects since 1990. Current teaching includes advanced mathematics courses such as Math 131BH (Winter 2025).

Noemi Petraمشاهده پروفایل

دانشیار

• Large-scale inverse problems
• PDE-constrained optimization
• Uncertainty quantification
• +۴ مورد دیگر

Noemi Petra is an Associate Professor in the Department of Applied Mathematics at the University of California, Merced , with research focusing on large-scale inverse problems , PDE-constrained optimization , uncertainty quantification , and optimal experimental design . Her work bridges mathematical theory with practical applications in geophysics and energy systems. Current Role: Associate Professor at UC Merced Research Interests: Large-scale inverse problems, PDE-constrained optimization, uncertainty quantification Her research has produced significant contributions in Bayesian inference for ice sheet modeling, power system estimation , and scalable optimization algorithms . She has developed open-source software frameworks like hIPPYlib-MUQ for data-model integration. Key research trends include: Bayesian Methods for geophysical inverse problems Optimization Techniques for power systems and ice dynamics Scalable Algorithms for high-dimensional uncertainty quantification Software Development for large-scale inverse problems Scientific awards: NSF CAREER award (2017) for large-scale Bayesian inverse problems She actively collaborates on ice sheet dynamics and power grid modeling , with software tools adopted in academic and industrial applications.