جست‌وجوی استاد و پژوهشگر

• Harmonic Analysis
• Functional Calculus
• Spectral Multiplier
• +۱۲ مورد دیگر

Alessio Martini is a Full Professor of Mathematical Analysis at the Department of Mathematical Sciences "GL Lagrange" (DISMA), Polytechnic University of Turin, where he has been serving since 2025. He is actively involved in teaching and research, contributing to doctoral programs and undergraduate courses in aerospace and mathematical engineering. Full Professor of Mathematical Analysis, Polytechnic University of Turin (2025–present) Associate Professor of Mathematical Analysis, Polytechnic University of Turin (2022–2025) Senior Lecturer (Associate Professor), University of Birmingham (2019–2021) Lecturer in Mathematical Analysis, University of Birmingham (2014–2019) Postdoctoral Fellow, University of New South Wales and Christian-Albrechts-Universität zu Kiel Education: PhD in Mathematics, Scuola Normale Superiore (2010) Licentiate Degree in Mathematics, Scuola Normale Superiore (2007) Master’s Degree in Mathematics, University of Pisa (2006) Alessio Martini's research focuses on harmonic analysis, functional calculus, and analysis on Lie groups and sub-Riemannian manifolds. His work explores spectral multipliers, sub-Laplacians, singular integral operators, and Hardy spaces, with applications to geometric and analytic problems on non-Euclidean spaces. He is particularly interested in multi-parameter analysis, Grushin operators, and Riesz transforms on discrete and continuous structures. His recent publications demonstrate a consistent focus on sharp multiplier theorems, spectral theory of sub-elliptic operators, and harmonic analysis on manifolds and homogeneous spaces. The articles span topics such as optimal regularity, maximal characterizations of function spaces, and spectral cluster bounds, reflecting a deep engagement with both theoretical and structural aspects of modern analysis. Scientific Affiliations and Skills: ERC Sectors: PE1_8 (Analysis), PE1_6 (Geometry and Global Analysis), PE1_5 (Lie Groups), PE1_9 (Operator Algebras), PE1_11 (PDEs) Research Groups: Functional Analysis and Differential Geometry (DISMA) Research Areas: Analysis on Manifolds and Lie Groups, Harmonic Analysis and Discrete Differential Geometry Alessio Martini supervises PhD students in the Mathematical Sciences program at Politecnico di Torino and teaches a range of courses including Mathematical Analysis I, Functional Analysis, and advanced topics such as Modern Singular Integral Theory. He has no listed scientific awards in the provided text. He is not part of any lab but contributes to research groups within DISMA. His work continues to advance the understanding of harmonic analysis in non-Euclidean settings.

Michele Rimoldiمشاهده پروفایل

دانشیار

• Geometric Analysis
• Differential Geometry
• Riemannian Geometry
• +۳ مورد دیگر

Michele Rimoldi is an Associate Professor at the Department of Mathematical Sciences 'Giuseppe Luigi Lagrange', Polytechnic University of Turin. His research focuses on geometric analysis, with specialties in Ricci solitons, quasi-Einstein metrics, and geometric flows such as the mean curvature flow. He has contributed to studies on weighted manifolds, self-shrinkers, and isoperimetric inequalities. Research interests include: Ricci solitons and their applications Quasi-Einstein metrics and Einstein warped products Self-shrinkers and translators in mean curvature flow Myers’ and Obata’s theorems in Riemannian geometry He actively organizes academic events like the MGT²: Milano-Grenoble-Torino Meeting in Geometry and Topology (upcoming in 2025) and the Differential Geometry Seminar Turin. His 2010 paper on quasi-Einstein manifolds demonstrates expertise in geometric analysis and differential geometry. No scientific awards or grants are explicitly listed in the provided text. He co-organizes research seminars and maintains an academic homepage with accessible publications.

Christian Seisمشاهده پروفایل

استاد

• Applied analysis
• Partial Differential Equations (PDEs)
• Mathematical fluid dynamics
• +۵ مورد دیگر

Prof. Dr. Christian Seis is a Professor of Applied Mathematics at the University of Münster, affiliated with the Institute of Analysis and Numerics. He is an Investigator in Mathematics Münster and specializes in applied analysis, partial differential equations (PDEs), and mathematical fluid dynamics. His research focuses on fluid dynamics phenomena, including vortex dynamics, mixing processes, and free boundary problems, with applications to convection and nonlinear diffusions. Education & Career: PhD from University of Leipzig (2011) Postdoctoral Fellow at University of Toronto (2011–2014) Lecturer (Akademischer Rat) at University of Bonn (2014–2017) Current position since 2017 at University of Münster Research Interests: Nonlinear PDEs, particularly fluid dynamics and transport equations Vortex dynamics, mixing in fluids, and boundary layer analysis Asymptotic behavior of solutions to Navier-Stokes and Euler equations Nonlinear diffusions, including thin film and porous medium equations Stability estimates and numerical schemes for advection-diffusion equations Recent Projects: Mathematical analysis of bubble rings in ideal fluids Optimal stability estimates for advection-diffusion equations Crossover of coarsening rates in demixing viscous liquids Analysis of the vanishing viscosity limit in 2D flows Grants & Collaborations: DFG Cluster of Excellence 'Mathematics Münster' (EXC 2044) Individual DFG grants for projects on transport equations and invariant manifolds Co-organizer of workshops on fluid dynamics and geometric PDEs Labs/Teams: Leads the research group on applied analysis and PDEs at the University of Münster, focusing on rigorous mathematical analysis of fluid dynamics and diffusion processes.

• Game Theory
• Dynamic Programming
• Mathematical Economics
• +۳ مورد دیگر

Juan Pablo Rincón-Zapatero is a Professor of Economics at Universidad Carlos III de Madrid , serving as Director of the Graduate School of Economics and Political Science . His research focuses on mathematical economics, game theory, dynamic programming, and financial mathematics. He holds a prominent role in advancing theoretical frameworks for economic modeling under uncertainty. He teaches Advanced Mathematics for Economics (undergraduate) and Mathematics (graduate) courses. His work bridges pure mathematics with applied economics, particularly in stochastic processes and recursive utility models. His publications address core topics like Bellman equations, stochastic differential games, and value function analysis. Notable contributions include applying Euler-Lagrange methods to economic asset games and proving differentiability in unbounded dynamic models. Though no awards are listed here, his extensive publication record reflects sustained academic impact. He currently oversees the graduate economics program, fostering interdisciplinary research between mathematics and economics.

• Approximation Theory
• Mathematical Physics
• Radial Basis Functions
• +۵ مورد دیگر

Francis J. Narcowich is a Professor of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. He holds a Ph.D. from Princeton University (1972) and has been a faculty member since his appointment. His research focuses on approximation theory, mathematical physics, and numerical methods, with notable contributions to radial basis functions, wavelets, and spherical approximation. Education: Ph.D. in Mathematics, Princeton University, 1972 M.A. in Mathematics, Princeton University, 1970 B.S. in Mathematics, DePaul University, 1968 Teaching: Current courses (Spring 2025): Math 414 (Fourier Series and Wavelets), Math 601 (Methods of Applied Mathematics) Past courses include Analysis for Applications, Complex Variables, and Special Functions Research Interests: Dr. Narcowich's work bridges approximation theory and applied mathematics, emphasizing kernel-based methods, scattered data approximation, and numerical solutions of PDEs on spheres. His contributions include advancements in radial basis functions, localized bases, and spectral theory for operators. Publications: Over 100 peer-reviewed articles, including seminal works on spherical interpolation, meshless methods, and inverse theorems in approximation theory. Notable books include *A First Course in Wavelets and Fourier Analysis* (co-authored with Albert Boggess). Grants and Service: Extensive funding history in applied mathematics and computational science. Active in academic service, including curriculum development and graduate student mentorship.

• Nonlinear optimization
• Mathematics teaching
• Economics education
• +۳ مورد دیگر

Sebastian XHONNEUX is a faculty member in the Department of Management Sciences at the School of Management, University of Namur. He actively teaches Mathematics for Economics and Management (EFASB231) for the 2023-2025 academic years, demonstrating his ongoing institutional engagement. His educational credentials include a Bachelor's degree in Mathematical Sciences, a Higher Secondary Education Aggregation (AESS in Mathematics-Physics), and a Doctor of Science. These qualifications underpin his dual expertise in theoretical mathematics and pedagogical methodology. XHONNEUX's research centers on nonlinear optimization and mathematics teaching, with distinctive focus on didactic transposition of mathematical concepts between disciplines. His work analyzes Lagrange's Theorem across mathematics and economics education, addressing challenges in secondary-to-university transitions and curriculum design. He emphasizes practical applications in management contexts through exercise collections and computational tools. His 2009-2012 publications reveal consistent interdisciplinary themes: didactic analysis of Lagrange's Theorem, development of mathematical reasoning materials, and MATLAB programming education. These works demonstrate systematic efforts to bridge theoretical concepts with economic applications while improving pedagogical approaches in quantitative disciplines. Though no formal awards are documented, XHONNEUX has supervised doctoral and master's theses while contributing to two major research projects. He served as researcher in proximal-type optimization methods (2004-2007) and institutional analysis of Lagrange's Theorem transposition (2007-2011), securing sustained project funding. He maintains active community engagement through conferences including APMEP National Days and Belgian Mathematics Teachers' Congresses. His workshop participation in Groupe SUP initiatives focuses on secondary-university transition challenges, reflecting commitment to collaborative improvement of mathematics education in management training.

• Geometric and probabilistic functional analysis
• Random matrices, random graphs, and random tensors
• Free probability and high dimensional phenomena
• +۱۰ مورد دیگر

Djalil CHAFAÏ is a University Professor of Mathematics at Université Paris-Dauphine - PSL, with dual affiliation at CEREMADE (Centre de Recherche en Mathématiques de la Décision) and DMA (Département de Mathématiques et Applications) at École normale supérieure (Paris) - PSL. He currently serves as Directeur des études du DMA (2021-2026) and Directeur scientifique du RNBM (2021-2025). His extensive research spans multiple areas of probability theory, mathematical physics, and applied mathematics. CHAFAÏ's research interests center around geometric and probabilistic functional analysis, random matrices, random graphs, free probability, and high-dimensional phenomena. His work connects mathematical theory with applications in biology, physics, and data science. He has made significant contributions to understanding cutoff phenomena in high-dimensional diffusions, Riesz energy problems, and Coulomb gases. His research often combines theoretical analysis with visual illustrations created using computational tools like Octave, Python, and Julia. Analysis of his recent publications reveals a strong focus on cutoff phenomena in various stochastic processes, equilibrium measures in potential theory, and the mathematical properties of random matrix ensembles. His work demonstrates a consistent pattern of bridging abstract mathematical concepts with concrete physical phenomena, particularly in statistical physics. The interdisciplinary nature of his research is evident in the diverse applications ranging from mathematical biology to data science. CHAFAÏ has successfully advised numerous doctoral students whose work continues to influence the field. His current doctoral students include Samuel Chan-ashing, Rémi Bonnin, and Kewei Pan, while his former students have gone on to positions at prestigious institutions worldwide. He is actively involved in the mathematical community through organizing conferences, seminars, and workshops, including the Matrices Et Graphes Aléatoires (MEGA) project and the Conviviality project funded by ANR.

Xiangru Xuمشاهده پروفایل

استاد

• Control Theory
• Autonomous Systems
• Cyber-physical Systems
• +۳ مورد دیگر

Dr. Xiangru Xu is a Professor in the Department of Mechanical Engineering at the University of Wisconsin-Madison, leading the Autonomous & Resilient Controls Laboratory (ARC Lab). His research focuses on developing control methodologies for trustworthy autonomous systems, emphasizing safety-critical control, cyber-physical systems, and artificial intelligence applications. He holds affiliations with both the Mechanical Engineering Department and the Electrical & Computer Engineering Department within the College of Engineering. Dr. Xu earned his PhD (2014) from the Institute of Systems Science, Chinese Academy of Sciences, and a BS (2009) in Mathematics from Beijing Normal University. His work has been recognized with prestigious awards, including the NSF CAREER Award (2023) and the IEEE Best New Application Paper Award (2019). His research explores adaptive safety protocols for nonlinear systems, neural feedback systems verification, and robust control strategies. Recent publications highlight advancements in hybrid zonotope-based reachability analysis, safety-critical control barrier functions, and autonomous vehicle development. His contributions bridge theory and practice, with applications in robotics, autonomous vehicles, and control system design. Awards: NSF CAREER Award, IEEE Best Paper Award, and multiple scholarships from Beijing Normal University. Teaching: Courses include Advanced Control Systems, Dynamic Systems, and interdisciplinary design projects. Labs: ARC Lab focuses on resilient control algorithms for autonomous systems, emphasizing simulation-to-reality validation.

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

Ali Taheri is a Professor of Mathematics at the University of Sussex, affiliated with the School of Mathematical and Physical Sciences and the Department of Mathematics. He holds an ORCID identifier (0000-0001-9639-4291) and has been with the university since 2006, progressing through roles including Lecturer (2006-2011), Senior Lecturer (2011-2014), Reader (2014-2022), and current Professor since 2022. His research focuses on geometric analysis, partial differential equations (PDEs), calculus of variations, harmonic analysis, spectral theory, and nonlinear elasticity. Education: BSc in Mechanical Engineering (Tehran, Iran), MSc in Pure Mathematics (Imperial College London), PhD in Mathematics (University of Oxford under Sir John Ball). Prior Positions: Postdocs at Courant Institute (NYU) and University of Oxford, lectureships at Oxford, Bath, and Warwick. His research interests span Nonlinear PDEs , Geometric Analysis , Calculus of Variations , and Harmonic Analysis . Key contributions include studies on the topology of Sobolev spaces, quasiconvexity, and geometric flows like the Ricci-Perelman flow. He has published over 50 papers and a two-volume monograph on Function Spaces and Partial Differential Equations (Oxford University Press). Recent articles explore gradient estimates for parabolic equations, Liouville theorems, and geometric flows. His work often bridges analysis, geometry, and topology, with applications to continuum mechanics. Awards include the Sussex Teaching Innovation Prize (2016) and teaching excellence accolades. Grants: EPSRC grant (2022-2025, £580,000) on 'Topology of Sobolev Spaces and Quasiconvexity.' Teaching: Courses include Differential Geometry, Topology, and advanced PDEs. Supervised 10 PhD and over 30 MSc/MMath students. Ali Taheri organizes conferences like the Oxford Nonlinear PDEs Conference (2024) and leads research on geometric deep learning and spectral graph theory.

• Fluid Dynamics
• Aerodynamics
• Turbulence Modeling
• +۳ مورد دیگر

Nicola de Divitiis is an Associate Professor at the Department of Aerodynamics and Flight Mechanics, Sapienza University of Rome. His research focuses on turbulence modeling, fluid dynamics, and aerodynamics, particularly in the context of Lyapunov analysis, energy cascade dynamics, and the statistical properties of turbulent flows. His work bridges mathematical physics with engineering applications, addressing challenges in air traffic management and aerospace systems. De Divitiis' research interests include closure problems in turbulence equations, bifurcation analysis, and the application of Liouville theorem to fluid dynamics. He has explored topics such as temperature fluctuations in isotropic turbulence and the analysis of turbulent boundary layers using finite-scale Lyapunov exponents. His contributions extend to aerodynamic modeling for experimental re-entry vehicles and shrouded-fan UAVs, emphasizing practical applications of fluid dynamics principles. His publications reveal a consistent focus on advancing theoretical frameworks for turbulence while addressing real-world problems in aerospace engineering. Notably, he has developed methodologies for estimating unsteady force derivatives and refining Boltzmann models for conflict detection in air traffic systems. No scientific awards or grants are explicitly listed in the provided materials. His advising record is not detailed here, but his work suggests involvement in doctoral training in fluid dynamics and aerospace engineering. He maintains active research in ground-effect vehicle performance and aerodynamic stability, with ongoing contributions to computational fluid dynamics and turbulence modeling.

Elbrus Jafarovمشاهده پروفایل

استاد

• Sliding Mode Control
• Controller Design
• Parameter Perturbation
• +۵ مورد دیگر

Elbrus Jafarov serves as a Professor in the Department of Aeronautical Engineering at Istanbul Technical University's College of Aeronautics. His research focuses on advanced control systems with applications in aerospace engineering, particularly in sliding mode control methodologies. Research interests include: Sliding Mode Control and Controller Design Stability Analysis of Delayed Systems Spacecraft Attitude Control under Magnetic Actuation Turbojet Engine Dynamics and Windmilling Phenomena Robust Control for Time-Varying Systems His recent publications demonstrate significant contributions to control theory, with emphasis on practical aerospace applications. Key trends include development of sliding mode controllers for input-delayed systems, stability analysis of turbojet engines during critical phases, and magnetic-based attitude control for small satellites. Scientific recognition: h-index of 11 with 635 citations (Scopus) 64 research outputs spanning 1978-2022 Active research includes the project 'Salt Manyetik Eyleme ile Küçük Uydu Yönelme Kontrolü' (Small Satellite Attitude Control via Magnetic Actuation) funded from 2013-2017, demonstrating ongoing contributions to spacecraft control systems. His work bridges theoretical control methodologies with practical aerospace implementations across multiple engineering domains.

Lukas Kochمشاهده پروفایل

استادیار

• Calculus of Variations
• Optimal Transport
• Analysis of PDEs
• +۲ مورد دیگر

Lukas Koch is an Assistant Professor in Mathematics at the University of Sussex , School of Mathematical and Physical Sciences. He transitioned from a postdoctoral position at the Max Planck Institute for Mathematics in the Sciences (2021–2024) to his current permanent role as of 2024. His academic credentials include an MMath (2013–2017) and PhD (2017–2021) from the University of Oxford . Education MMath, University of Oxford PhD, University of Oxford Postdoctoral Training Max Planck Institute for Mathematics in the Sciences Research Interests : Dr. Koch specializes in the Calculus of Variations and Optimal Transport , focusing on Regularity Theory for nonlinear PDEs and functionals with $(p,q)$-growth. His work addresses boundary regularity, Lavrentiev gaps, and numerical approximation schemes for elliptic systems. Publication Trends : His research spans Analysis of PDEs and Calculus of Variations , with recent articles exploring entropic optimal transport , p-Laplace homogenization , and Jacobian equations in critical Sobolev spaces. Collaborations include notable mathematicians like Felix Otto, André Guerra, and Sauli Lindberg. Teaching Experience : He has taught Linear Algebra , Calculus of Variations , and advanced courses on Nonlinear Potential Theory at institutions including the University of Sussex, University of Leipzig, and Max Planck Institute. His teaching spans undergraduate to graduate levels.

• Differential Equations
• Difference Equations
• Integral Equations
• +۱۵ مورد دیگر

Murat Adivar is a Full Professor in the School of Business and Economics at Fayetteville State University , where he serves as SAP Faculty Coordinator, Director of the SAP Next-Gen Lab, and Director of the ERP and Advanced Analytics Center. He holds a Ph.D. in Applied Mathematics from Ankara University and completed postdoctoral research at Missouri University of Science and Technology. Ph.D., Applied Mathematics, Ankara University, 2003 Postdoc, Applied Mathematics, Missouri University of Science and Technology, 2004 Stanford University, Design Thinking Certification, 2019 SAP Certified Associate, 2016 Data Analytics Certificate, Johns Hopkins University, 2015 His research bridges applied mathematics and data analytics , focusing on differential and difference equations, time scales, optimization, fuzzy decision making, and machine learning applications in business. He has published extensively in mathematical and interdisciplinary journals. His recent work explores machine learning in sales research and dynamical systems on hybrid domains. The 15 most recent publications reflect a strong trend toward theoretical analysis of functional, difference, and integral equations on time scales, with increasing interdisciplinary applications in optimization, fuzzy systems, and business analytics . The keywords span applied mathematics, operations research, and data science. Scientific Awards and Recognitions: Honorary Professorship, Anhui University of Science and Technology (2013–2018) Ph.D. Fellowship, TUBITAK (1998–2003) NATO Scholarship for Postgraduate Studies (2004) He has advised numerous research projects and supervised student engagement initiatives. He has secured multiple research grants from TUBITAK and Izmir University of Economics. A dedicated educator, he teaches courses in SAP, data analytics, and business intelligence, and has led SAP academic initiatives and lab development. Dr. Adivar has organized major international conferences such as the World Congress on Global Optimization and has collaborated with researchers at North Carolina State University, University of Dayton, and Missouri S&T. He leads the SAP Next-Gen Lab, focusing on experiential learning and industry-academia collaboration.

Elmkhan Mahmudovمشاهده پروفایل

استاد

• Optimal Control
• Differential Inclusions
• Fractional Systems
• +۳ مورد دیگر

Elmkhan Mahmudov is a Professor in the Department of Mathematics Engineering at Istanbul Technical University, with over 100 publications since 1987 and an h-index of 16. His research establishes foundational contributions to optimal control theory and differential inclusions, spanning theoretical frameworks to engineering applications across five decades. His expertise focuses on necessary optimality conditions for singular controls, fractional systems (particularly Caputo derivatives), and differential inclusions with discrete/continuous dynamics. Key specialties include: Elliptic/hyperbolic boundary-value optimization Time-optimal control of linear systems Higher-order delay differential inclusions Impulsive systems with duality principles Polyhedral differential inclusions Locally adjoint mapping techniques Recent publications (2024-2025) demonstrate intensifying focus on fractional-order extensions, state-constrained systems, and hybrid boundary conditions. His work consistently applies Pontryagin Maximum Principle adaptations to novel system classes, with notable output surges in 2023 (17 publications) indicating active research momentum. No scientific awards were documented in the source material. Professor Mahmudov secured two SRP-funded projects in 2023: Optimal Control of Elliptic Type Polyhedral Inclusions (July 2023-February 2024) addressing elliptic system optimization, and Optimization of First Boundary Value Problem for Hyperbolic-Type Polyhedral Discrete and Differential Inclusions (January-July 2023) targeting hyperbolic systems. These projects reflect his sustained grant acquisition capacity in core research domains. No laboratory affiliations or research team structures were specified in the available profile.

Martin Jurášمشاهده پروفایل

استاد

• Mathematics
• Cryptography
• Algebra
• +۳ مورد دیگر

Martin Juráš is Professor of Mathematics in the School of Liberal Arts at Savannah College of Art and Design (SCAD), Savannah, GA, holding this position since August 2015. He earned dual Ph.D. degrees in Mathematical Sciences from Utah State University and Mathematical Engineering from Brno University of Technology, along with an M.S. in Information Systems and Theoretical Computer Science from Univerzita J.E. Purkyně. His research spans algebra, cryptography, topological rings, and computational mathematics, with applications in encryption systems and invariant theory. Key domains include public-key cryptosystems, polynomial irreducibility, and differential equations. Recent scholarly work demonstrates a strong trend toward cryptographic mathematics, with 10+ publications on group invariants applied to security systems. Notable theoretical contributions include extensions of Eisenstein-Dumas irreducibility criteria. Qatar National Research Foundation Grants (2012-2016, 2013-2017)