جست‌وجوی استاد و پژوهشگر

• Differential Geometry
• Geometry of PDEs
• Contact Geometry
• +۷ مورد دیگر

Giovanni Manno is a Full Professor in the Department of Mathematical Sciences (DISMA) at the Polytechnic University of Turin, where he also serves as Vice Coordinator of the College of Mathematical Engineering. His research lies at the intersection of differential geometry and the geometric theory of partial differential equations, with a strong focus on contact and symplectic structures, Monge-Ampère equations, and integrable systems. Position: Full Professor (L. 240) Institution: Polytechnic University of Turin Department: Department of Mathematical Sciences (DISMA) Email: giovanni.manno@polito.it His research interests include differential geometry, geometry of PDEs, contact geometry of PDEs, Monge-Ampère equations on contact manifolds, and metrics admitting geodesic symmetries. These areas are deeply interconnected, focusing on the geometric structures underlying differential equations and their symmetries. The recent publications (2023–2025) reflect a consistent trend in geometric analysis of PDEs, particularly exploring c-projective and projective symmetries in Kähler and Riemannian geometries, moment maps in symplectic Monge-Ampère theory, and invariant PDEs on hypersurfaces. These works demonstrate advanced techniques in Lie symmetry analysis, geometric structures, and integrability. His scientific awards include: INdAM Fellowship (Marie Skłodowska-Curie cofunded), 2012 MIUR "Future in Research", 2013 University of Padua Young Scholars Funding, 2013 INdAM Project on Projective Connections and Integrable Systems, 2018 He has been actively involved in academic service, serving on the editorial boards of Mathematical Seminar Reports and Banach Center Publications , and participating in the organizing and scientific committees of international conferences such as the Geometry of Lagrangian Grassmannians and Nonlinear PDEs. He has held a fixed-term Senior Researcher position at the National Institute of Higher Mathematics "Francesco Severi" (2014). Manno has taught in PhD programs at both the Polytechnic University of Turin and the University of Turin, and regularly teaches advanced and foundational courses such as Differential Manifolds and Tensors, Projective Differential Geometry, and Linear Algebra and Geometry across aerospace and computer science engineering programs. He is a member of the research group Functional Analysis and Differential Geometry (DISMA) and contributes to the Geometry of PDEs research area.

Eugénio A.M. Rochaمشاهده پروفایل

استادیار

• Partial Differential Equations
• Nonlinear Control Theory
• Educational Software
• +۱۲ مورد دیگر

Eugénio A.M. Rocha is an Assistant Professor in the Department of Mathematics at the University of Aveiro, Portugal. He holds multiple roles including Co-Coordinator of GEOMETRIX and Board member of the Portuguese Mathematical Society (2014-2022) and the Centro Internacional de Matemática (CIM) General Assembly (2008-2022). His research focuses on Partial Differential Equations, Nonlinear Control Theory, and interdisciplinary topics like Epidemiology of HIV/Tuberculosis and Underwater AUVs Navigation. Research affiliations: Member of CIDMA (Center for Research & Development in Mathematics and Applications) Key projects: Mathdir open science platform and Multiplication Tables Online Games development His recent work includes studies on Schrödinger-Poisson systems and tuberculosis epidemiology modeling. He has contributed to deep learning frameworks like Blocks and Fuel (2016). Active in academic governance, he balances pure mathematics research with educational software initiatives and international collaboration.

Benjamin Anderson-Sackaneyمشاهده پروفایل

استادیار

• Quantum Groups
• Abstract Harmonic Analysis
• Operator Algebras
• +۱ مورد دیگر

Benjamin Anderson-Sackaney is an Assistant Professor in the Department of Mathematics and Statistics at the University of Victoria. He holds a PhD from the University of Waterloo (2022). His research focuses on quantum groups, operator algebras, and abstract harmonic analysis, particularly studying operator algebras associated with quantum groups and their noncommutative dynamics. His work explores connections between algebraic structures and representation theory, with applications to boundary actions, amenability, and harmonic analysis. Anderson-Sackaney’s research also intersects with topological boundaries of representations, coideals in quantum groups, and entropy in group dynamics. He actively participates in international conferences, such as the CMS Summer Meeting and BIRS workshops, and collaborates with researchers globally. As an Indigenous mathematician from the Fort Albany First Nation, he promotes representation and inclusivity in mathematics. His recent publications address topics like C*-simplicity, Poisson boundaries of random walks, and fusion modules. He has contributed to correcting technical nuances in foundational papers, ensuring precision in operator algebra theory.

• Nonlinear Partial Differential Equations
• Cross-Diffusion Systems
• Mathematical Modeling in Semiconductor Devices
• +۵ مورد دیگر

Ansgar Jüngel is a Full Professor for Analysis of Nonlinear Partial Differential Equations at TU Wien, Austria. He leads the Institute of Analysis and Scientific Computing within the Faculty of Mathematics and Geoinformation. His research focuses on mathematical modeling, analysis, and numerical simulation of complex systems, particularly in semiconductor physics, quantum hydrodynamics, and biological transport phenomena. Jüngel holds a PhD from TU Berlin (1994) and habilitation (1997), with prior academic roles at University of Konstanz and University of Mainz. His work spans nonlinear PDEs, cross-diffusion systems, entropy methods, and applications in semiconductor modeling (e.g., quantum drift-diffusion, Maxwell-Stefan systems). Notable contributions include rigorous derivation of energy-transport models, analysis of quantum fluid models, and development of entropy-dissipative numerical schemes. Awards include the ERC Advanced Grant (2021) and Tsungming-Tu Award (2011). Teaching emphasizes advanced mathematical topics: cross-diffusion systems, partial differential equations, and computational finance. Active in PhD supervision and collaborative projects, he co-authored books on transport equations, entropy methods, and semiconductor modeling. His team includes postdocs and PhD students working on topics like multi-species populations, tumor growth modeling, and stochastic cross-diffusion systems.

Ruihua Liuمشاهده پروفایل

استاد

• Financial Mathematics
• Computational Finance
• Stochastic Optimal Control
• +۵ مورد دیگر

Ruihua Liu is a Professor in the Department of Mathematics at the University of Dayton, College of Arts and Sciences. He has been a full-time faculty member since 2004, achieving tenure as Associate Professor in 2010 and promotion to Full Professor in 2016. Educational Background: Ph.D., Engineering Science (Control Theory and Application), Nankai University, China, 1994 Ph.D., Mathematics, University of Georgia, 2001 M.S., Computer Science, University of Georgia, 2001 M.E., Engineering Science, Nankai University, 1988 B.E., Engineering Science, Nankai University, 1985 Ruihua Liu's research lies at the intersection of financial mathematics and stochastic control. His work emphasizes computational finance , particularly in developing numerical methods such as recombining trees and lattice models for pricing options under complex dynamics. A central theme in his research is the use of regime-switching models to capture structural changes in financial markets. He investigates optimal investment and consumption strategies , often incorporating realistic features like proportional transaction costs. His analytical focus includes stochastic optimal control, optimal stopping, and singular control problems, with applications in portfolio optimization and stock liquidation strategies. The 15 most recent publications show a consistent trajectory in applying advanced stochastic analysis to financial decision-making under uncertainty. Key trends include the development of computational algorithms for regime-switching frameworks, solving optimal control problems with state-dependent switching rates, and modeling market behaviors using multi-scale and diffusion processes. These works span top journals in applied mathematics, control theory, and financial engineering, indicating a strong interdisciplinary impact. Scientific Awards and Honors: No specific awards mentioned in the provided text. Advising and Grants: While no formal list of students is provided, his extensive publication record with multiple collaborators suggests active involvement in mentoring graduate students and junior researchers. Though specific grants are not listed, his research output in high-impact journals implies successful acquisition of external funding to support his work in financial mathematics and stochastic modeling. Laboratories and Research Teams: Ruihua Liu is affiliated with the Department of Mathematics at the University of Dayton. While no named lab or center is mentioned, his collaborative work with researchers such as G. Yin, Q. Zhang, and P. Eloe suggests participation in a research group focused on stochastic systems and financial applications.

Peter Schuppمشاهده پروفایل

استاد

• Mathematical Physics
• Theoretical Physics
• Classical and Quantum Gravity
• +۷ مورد دیگر

Peter Schupp is a full Professor of Physics in the School of Science at Constructor University in Bremen, Germany, a position he has held since 2002. He previously served as visiting fellow and lecturer at Princeton University (1997-1999) and as assistant professor at the University of Munich (1994-1997, 1999-2002). His office is located in Research III, Room 65 on the Constructor campus. Education: PhD (Physics), University of California at Berkeley, 1990–1993 MSc (Physics), California Institute of Technology, 1989–1990 Vordiplom (Physics), University of Heidelberg, 1986–1989 Habilitation, University of Munich, 2001 Research Interests span a broad range of topics in mathematical and theoretical physics, including: Classical and quantum gravity Quantum field theory and string theory Generalized, graded and non-commutative geometry Coherent states, entropy and quantum information Non-geometric fluxes and nonassociative structures Cosmological data analysis (CMB anisotropy & non-Gaussianity) His publications reveal a steady focus on non-commutative and nonassociative extensions of geometry and gravity, as well as their implications for quantum field theory and cosmology. Recent work couples sophisticated algebraic techniques (graded Poisson algebras, Hopf algebras) to concrete physical problems such as CMB entropy measures and axion-gravity interactions. Scientific Awards & Fellowships : Heisenberg Fellowship, Deutsche Forschungsgemeinschaft (DFG), 2002 Studienstiftung des deutschen Volkes, 1986–1992 Max-Kade-Foundation Fellow, 1997–1998 Theodore S. Brown & Edith N. Brown Fellowship / Ephraim Weiss Scholarship, 1991–1992 Dora Garibaldi Scholarship, 1990–1991 Earl C. Anthony Fellowship, Caltech, 1989–1990 University Fellow, Renker GmbH & Co. KG, 1989–1991 International Physics Olympiad Silver Medal (Portorož 1985, 7th overall) International Physics Olympiad Bronze Medal (London 1986) Contact & Collaboration : Prof. Schupp welcomes inquiries at pschupp@constructor.university or by phone at +49 421 200-3224. While the text does not list specific PhD advisees, his long tenure and extensive publication record indicate active supervision of graduate researchers in theoretical and mathematical physics.

Drazen Fabrisمشاهده پروفایل

دانشیار

• Nanoscale Heat Transfer
• Electronics Cooling
• Energy Efficiency
• +۲ مورد دیگر

Dražen Fabriš is an Associate Professor in the Department of Mechanical Engineering at Santa Clara University's School of Engineering. With a Ph.D. and M.S. from the University of California, Berkeley, and a B.S. from the California Institute of Technology, his expertise spans experimental and computational thermal-fluid sciences. He co-developed Santa Clara's microscale boiling laboratory and contributed to nanoscale thermal transport projects. Education: Ph.D., University of California at Berkeley, 1996 M.S., University of California at Berkeley, 1993 B.S., California Institute of Technology, 1990 His research focuses on: Nanoscale heat transport : Developing experimental and computational methods for metallic thin films and carbon nanostructures. Electronics cooling : Creating carbon nanotube thermal interfaces and spray cooling systems. Energy systems : Modeling data center efficiency and coal-to-syngas heat exchangers. Computational methods : Spectral techniques for Poisson equations and domain decomposition. Recent publications emphasize carbon nanofiber applications, bubble dynamics in boiling, climate impact modeling, and computational fluid dynamics, reflecting interdisciplinary collaboration across energy, nanotechnology, and instrumentation. Awards: Regents Fellowship, University of California at Berkeley Coopers and Lybrand Technology Challenge winner He secured $3.9M in research funding (as PI/Co-PI), including NSF support for curriculum development. He advises graduate research and leads the microscale boiling lab, focusing on high-speed nucleation and spray cooling physics.

• Risk Theory
• Actuarial Mathematics
• Bankruptcy Theory
• +۴ مورد دیگر

Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications

Sajidah Ahmedمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Nuclear Fusion
• Turbulence
• +۲ مورد دیگر

Sajidah Ahmed is a plasma physicist affiliated with the University of York and actively contributes to nuclear fusion research. Her work focuses on turbulent phenomena in magnetically confined fusion plasmas, particularly the dynamics of scrape-off layer (SOL) fluctuations and their impact on plasma-wall interactions. Doctoral research (2023) on Intermittent fluctuations in the boundary of magnetically confined fusion plasmas . Published studies in leading fusion journals on topics such as filament propagation, MHD instabilities, and pulse superposition modeling. Research Highlights: Her research addresses critical challenges for commercial fusion reactors, including: Characterizing blob-like turbulent structures in SOL regions. Reconstructing intermittent time series using deconvolution methods. Investigating density limits and plasma confinement in devices like Alcator C-Mod and MAST Upgrade.

• Partial Differential Equations
• Fluid Dynamics
• Mathematical Physics
• +۲ مورد دیگر

Klaus Widmayer is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, focusing on partial differential equations and fluid dynamics. His research bridges mathematical analysis and physical applications, particularly in plasma physics and fluid stability. Current affiliations: Faculty of Mathematics, Department of Mathematics Dr. Widmayer's research explores the stability of fluid flows and plasma systems. Key themes include: Long-time behavior of Boussinesq and Euler equations Landau damping in Vlasov-Poisson systems Rotation effects in 3D Euler equations Stationary structures near fluid flows Asymptotic analysis of kinetic models His recent work (2021–2024) investigates nonlinear stability, dispersive effects, and equilibrium structures in fluid and plasma models. Publications span journals like Annals of PDE , Communications on Pure and Applied Mathematics , and Inventiones Mathematicae . Collaborators include prominent researchers like Benoit Pausader and Alexandru Ionescu.

• Generalized Geometry
• Poisson Geometry
• Lie Groupoids
• +۴ مورد دیگر

Marco Gualtieri is a mathematician affiliated with the Department of Mathematics at the Barcelona Polytechnic School of Building , part of the Polytechnic University of Catalonia (UPC) , and the University of Toronto . He focuses on geometry and mathematical physics, particularly developing mathematical structures with applications to quantum field theory. Education : B. Sc. from McGill University, D. Phil. in Mathematics from the University of Oxford under supervisor Nigel Hitchin. Experience : Research fellowships at the Fields Institute and MIT, followed by academic appointments at the University of Toronto (since 2008) and UPC Barcelona Tech (since 2025) in the SYMCREA lab. His research spans generalized geometry, Poisson geometry, and Lie groupoids, with a strong emphasis on connecting abstract mathematical structures to theoretical physics. While no explicit scientific awards or publications are listed in the provided texts, his career highlights include interdisciplinary work at the intersection of mathematics and quantum field theory.

• Mathematics
• Computer Science
• Representation Theory
• +۷ مورد دیگر

Alexander L Dvorsky is an Associate Professor at the Department of Mathematics, College of Arts and Sciences, University of Miami, with research spanning representation theory, Lie algebras, and deformation quantization. Research Interests: Representation theory of classical and infinite-dimensional Lie groups Deformation quantization and invariant distributions Algebraic geometry in homogeneous spaces Key Contributions: His work includes decomposition of tensor products of minimal representations of orthogonal groups, studies on Kontsevich quantization, and analysis of parabolic subalgebras.

Fraydoun Rezakhanlouمشاهده پروفایل

استاد

• Probability theory
• Partial differential equations
• Mathematical analysis
• +۷ مورد دیگر

Professor Fraydoun Rezakhanlou is a faculty member at the Department of Mathematics , University of California, Berkeley , where he has been since 1991. His academic roles include serving as an Equity Advisor in the university's Senate Faculty and teaching advanced courses such as Math 270: Topics in Symplectic Geometry , Math 219: Dynamical Systems , and Math 279: Stochastic PDEs . He has also contributed to lecture notes on Symplectic Geometry, Dynamical Systems, and Stochastic PDEs. Research Interests: Rezakhanlou's work spans probability theory , partial differential equations , and their intersections with mathematical physics . His research includes coagulation-fragmentation models , kintetic theory , stochastic processes , and homogenization . He has explored applications to Navier-Stokes equations , Hamilton-Jacobi equations , and symplectic geometry . Article Trends: His publications focus on stochastic PDEs , Hamilton-Jacobi equations , and coagulation models . Recent articles analyze random tessellations , metastability in zero-range processes , and kintetic descriptions of scalar conservation laws. Older works address equilibrium fluctuations , Smoluchowski equations , and random walks in random environments . Advising: He has advised multiple PhD students, including Haotian Gu (2023), Kyeongsik Nam (2020), and Chanwoo Oh (2019), among others since the 1990s.

Salah Mehdiمشاهده پروفایل

استاد

• Harmonic Analysis
• Representation Theory
• Lie Theory
• +۵ مورد دیگر

Professor Salah Mehdi is a distinguished mathematician at the University of Lorraine, where he serves as Head of the Analysis and Number Theory research team at the Institut Elie Cartan de Lorraine (IECL), a joint research unit (UMR 7502) of the CNRS. He also holds an Adjunct Professor position at Georgia Tech Europe. Previously, he has held positions at the University of Paris Ouest and has had visiting appointments at prestigious institutions worldwide including New York University Abu Dhabi, Oklahoma State University, Mathematisches Institut in Göttingen, and Tata Institute of Fundamental Research in Mumbai. Professor Mehdi completed his doctoral thesis in mathematics at Denis Diderot University - Paris VII in December 1996, followed by his accreditation to supervise research (Habilitation) in December 2004. His academic journey has included two full-time delegations to the CNRS (2012 and 2019-2020) and leadership roles including heading the mathematics department of the UFR MIM at the University of Lorraine (2014-2018). His research focuses on the deep connections between harmonic analysis on Lie groups, representation theory, and mathematical physics. Professor Mehdi's work spans Dirac operators on homogeneous spaces, Dirac cohomology, nilpotent orbits, quantization, and the spectral theory of locally symmetric spaces. His approach combines algebraic, geometric, and analytic techniques to address fundamental questions in modern mathematics. He has published 39 research papers with recent work concentrating on Dirac cohomology and its relationship to Howe's Θ-correspondence, approximation of nilpotent orbits, and the spectrum of semisimple locally symmetric spaces. Professor Mehdi actively contributes to the mathematical community through organizing international conferences such as 'Excursions in Mathematical Physics' (2024), 'Representation Theory and harmonic analysis' (2023), and 'Groups and representations' (2024), which honor prominent mathematicians in his field. As head of the Analysis and Number Theory team, he leads a vibrant research group of approximately fifty members including doctoral students, fostering the next generation of mathematicians in Lie theory and related areas. His research has significant implications for theoretical physics, particularly in understanding the mathematical structures underlying quantum mechanics and particle physics. Professor Mehdi continues to be an active contributor to both pure mathematics and its applications, maintaining collaborations with leading researchers worldwide including Pavle Pandžić, David Vogan, and Martin Olbrich.

Rafael de Andrade Moralمشاهده پروفایل

استاد

• Statistical Modelling
• Ecology
• Wildlife Management
• +۳ مورد دیگر

Rafael de Andrade Moral is a Professor of Statistics at Maynooth University's Faculty of Science & Engineering (since 2025), with prior roles as Associate Professor (2023-2025) and Assistant Professor (2018-2023). He holds a PhD in Statistics (University of São Paulo, 2014-2017) and dual bachelor's degrees in Biology and Education. His work bridges Statistical Ecology , Computational Biology , and Data Science , focusing on modeling ecological systems, agricultural pest dynamics, and biodiversity-ecosystem function relationships. Key research themes include Bayesian modeling , multivariate ecological forecasting , and machine learning applications . He founded the Theoretical and Statistical Ecology Research Group and serves on committees like the Young-ISA Chair . His recent articles span topics like insect abundance forecasting , weed-crop competition under climate change , and neuroinformatics-based learning analysis , reflecting interdisciplinary engagement. Scientific accolades include the Young Statistician Showcase Prize (2018), A-mu-sing Competition First Place (2021), and Maths Week Award (2022). He has advised three PhD students and contributed to over 50 peer-reviewed publications. Active in teaching innovation (e.g., Teaching Statistics through Music ), he also provides statistical consultancy to organizations like NIBIO and Jomakol .