جست‌وجوی استاد و پژوهشگر

Michael Klasenمشاهده پروفایل

استاد

• Particle Physics
• Quantum Chromodynamics
• Physics beyond the Standard Model
• +۳ مورد دیگر

Prof. Dr. Michael Klasen is a leading theoretical physicist at the Institute of Theoretical Physics at the University of Münster, where he heads his eponymous research group. His work bridges nuclear and particle physics, with significant contributions to quantum chromodynamics and physics beyond the Standard Model. His research focuses on Particle Physics , Quantum Chromodynamics , and Physics beyond the Standard Model , with particular emphasis on understanding the quark-gluon structure of atomic nuclei and dark matter phenomena. His innovative approach connects microscopic quark-gluon dynamics with nuclear binding phenomena, creating a crucial bridge between nuclear and particle physics. Prof. Klasen's recent work analyzing nucleon binding at the quark-gluon level was recognized as a "Breakthrough of the Year 2024" by Physics World. His research group's publication in Physical Review Letters demonstrated how quarks and gluons behave differently in nucleon pairs than in free nucleons, fundamentally advancing our understanding of nuclear binding. Breakthrough of the Year 2024 from Physics World Leadership of Research Training Group 2149 "Strong and weak interactions - from hadrons to dark matter" Supervision of award-winning doctoral research including the Infineon Dissertation Prize 2025 Prof. Klasen has successfully mentored numerous PhD students, with 20 of his group's graduates continuing their academic careers at prestigious institutions including CERN and Stanford University. His research has been supported by major funding bodies including the German Research Foundation (DFG), the Helmholtz Alliance for Astroparticle Physics, and BMBF collaborative research programs. The Klasen working group maintains active collaborations with international research networks including CTEQ, DM@NLO, and RESUMMINO.

• Representation Theory
• Tensor Categories
• Lie Algebras
• +۴ مورد دیگر

Pavel Etingof is Professor of Mathematics at the Massachusetts Institute of Technology (MIT), Department of Mathematics, where he has been a distinguished faculty member for many years. He serves as the Chief Research Adviser of MIT-PRIMES, an all-year high school math research program that provides exceptional research opportunities for talented high school students. Additionally, he holds the prestigious position of Editor-in-Chief of Selecta Mathematica. Professor Etingof's research spans multiple advanced areas of pure mathematics with a particular focus on representation theory, tensor categories, Lie algebras, Hecke algebras, and algebraic structures. His work consistently bridges algebra, geometry, and mathematical physics, revealing deep connections between abstract algebraic structures and physical phenomena. His research has evolved to increasingly explore tensor categories in positive characteristic, connections between representation theory and fractal structures, and applications to quantum field theory. His recent publications (2021-2025) demonstrate continued productivity and innovation, with numerous papers on tensor categories in various characteristics, representation theory of Lie groups, and connections to mathematical physics. These works show sophisticated exploration of representation theory in prime characteristic, novel applications to quantum field theory, and deep investigations into the structure of tensor categories. Editor-in-Chief of Selecta Mathematica Chief Research Adviser of MIT-PRIMES Professor Etingof has mentored numerous Ph.D. students at MIT and other institutions, establishing a significant mathematical genealogy in representation theory. His teaching includes advanced courses on algebraic groups, Lie theory, representation theory, and specialized topics. He has also co-organized many student seminars on cutting-edge mathematical topics including Deligne categories, symplectic reflection algebras, quantum cohomology, and double affine Hecke algebras, fostering collaborative research environments for students and colleagues.

Patrick Gill-Tineyمشاهده پروفایل

پژوهشگر ارشد

• International Order
• International Security
• Major Powers
• +۳ مورد دیگر

Dr. Patrick Gill-Tiney is an LSE Fellow in the Department of International Relations at the London School of Economics and Political Science. His work focuses on international order, major power relations, and the role of international institutions like the United Nations. He holds a DPhil from Oxford University, an MSc from UCL, and degrees from Oxford and the University of Maryland. His research explores the decline of interstate violence linked to liberal norms, the impact of subordinate monopolization on major power wars, and evolving UN peacekeeping norms. Previously, he was a Fixed-Term Lecturer at St John’s College, Oxford. He is a Fellow of the Higher Education Academy. Key research interests include international security, regime type effects on peace, and the functional role of international organizations. His work has been published in the Journal of Conflict Resolution.

Christian Bickمشاهده پروفایل

دانشیار

• Dynamical Systems
• Coupled Oscillator Networks
• Network Dynamics
• +۳ مورد دیگر

Christian Bick is an Associate Professor at the Department of Mathematics, Vrije Universiteit Amsterdam (VU Amsterdam). He holds visiting roles as a Visiting Research Fellow at the University of Oxford's Mathematical Institute, Honorary Associate Professor at the University of Exeter, and Visiting Fellow at the Institute for Advanced Study (TUM-IAS), Technische Universität München. His research focuses on dynamical systems and applications, particularly in network dynamics, coupled oscillator networks, and higher-order interactions. He has received prestigious awards such as the Marie Curie Intra-European Fellowship (2015) and the Hans Fischer Fellowship (2019). Education and Career: Bick obtained his PhD from Georg-August-Universität Göttingen (2012) and held postdoctoral positions at Rice University and the University of Exeter. His work bridges theoretical and applied mathematics, with interdisciplinary collaborations in neuroscience, physics, and engineering. Research Interests: Bick explores dynamics of coupled oscillator networks, asynchronous networks, and higher-order interactions. His recent work includes studies on heteroclinic networks, chimera states, and synchronization phenomena in complex systems. He leads projects like BeyondTheEdge (Marie Skłodowska–Curie Doctoral Network) and has contributed to grants such as the EPSRC New Investigator Award (2020–2023). Teaching: He teaches Dynamical Systems at VU Amsterdam and has lectured on Stochastic Processes, Mathematical Methods, and Dynamical Systems and Chaos at the University of Exeter and Oxford. Awards and Grants: His honors include the DAAD Doktorandenstipendien (2010, 2012) and Fulbright support (2008). Active grants include projects on higher-order networks and neurodegenerative disease modeling.

Rainer Nagelمشاهده پروفایل

استاد

• Functional Analysis
• Operator Theory
• Ergodic Theory
• +۵ مورد دیگر

Prof. Dr. Rainer Nagel is affiliated with the University of Tübingen as a faculty member in the Faculty of Mathematics and Natural Sciences , specifically within the Department of Mathematics . He leads the Tübingen Functional Analysis Group (AGFA) and the AGFA-TRI-TEAM, focusing on functional analysis and its applications. Editorial roles: Journal of Evolution Equations , Semigroup Forum , Positivity , and others. Research interests: Functional analysis, operator theory, evolution equations, ergodic theory, and mathematical physics. Publications span topics like semigroups, nonautonomous Cauchy problems, and boundary feedback systems.

Hugo Duminil-Copinمشاهده پروفایل

استاد

• Mathematical Physics
• Combinatorics
• Probability Theory

Hugo Duminil-Copin is a Full Professor at the University of Geneva and a permanent professor at the Institut des Hautes Études Scientifiques (IHES) since 2016. His research focuses on Mathematical Physics , Combinatorics , and Probability Theory . Education : École Normale Supérieure (ENS) Paris, University of Paris-Saclay Awards : 2022 Fields Medal for work in statistical physics Research Trends : Probabilistic aspects of lattice models Phase transitions and critical phenomena Conformal invariance and percolation theory Collaborations : Active collaborations with researchers such as R. Panis, S. Goswami, I. Manolescu, and others. Teaching : Offers courses in mathematical physics and probability at the University of Geneva. His recent publications emphasize critical models, random-cluster models, and Gaussian free fields, with applications in planar and high-dimensional systems. He supervises doctoral students including Emile Averous , Aman Markar , and Tiancheng He .

• Numerical Analysis
• Partial Differential Equations
• Finite Element Method
• +۳ مورد دیگر

Dirk Praetorius is a Professor of Numerics of Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Wien) , affiliated with the Institute for Analysis and Scientific Computing (ASC) within the Faculty of Mathematics and Geoinformation . He leads the research group on Numerics of PDEs and has held various leadership roles, including Institute Director (since 2020) and head of the Numerics research area. His work focuses on numerical methods for PDEs, including Finite Element Methods (FEM), Boundary Element Methods (BEM), adaptive algorithms, and computational micromagnetics. Education and Career: Praetorius earned his Diplom in Mathematics (2000) and PhD in Applied Mathematics (2003) from TU Wien, followed by a Habilitation in Numerical Analysis (2005). He has been a faculty member at TU Wien since 2005, progressing from Assistant Professor to full Professor in 2017. He has also held visiting positions at institutions such as the University of Jyväskylä and RICAM (Linz). Research Interests: His research spans numerical analysis, adaptive FEM/BEM, a-posteriori error estimation, matrix compression, and computational micromagnetics. He has contributed to modeling spin dynamics, magnetic skyrmions, and multiscale systems. His work emphasizes efficient algorithms for large-scale problems and optimal computational complexity. Awards and Editorial Roles: Praetorius received the TU Best Teacher Award (2021) and TU Best Lecture Award (2019). He serves as Senior Editor for Computational Methods in Applied Mathematics (CMAM) and on the editorial board of Applied Numerical Mathematics (APNUM) . He co-founded the outreach initiative TUForMath to promote mathematics education. Grants and Projects: He leads or co-leads several research projects funded by the Austrian Science Fund (FWF), including the collaborative SFB "Taming Complexity in Partial Differential Systems" (2017–2025) and international collaborations with Germany. His work addresses topics like functional error estimates, nonlinear PDEs, and computational design of magnetic devices. Labs and Teams: He contributes to the ASC Institute and coordinates interdisciplinary projects involving computational physics and engineering. His team develops software tools like MooAFEM and Commics for micromagnetic simulations.

• Software Engineering
• Formal Methods
• Model-Driven Engineering
• +۴ مورد دیگر

Pierre KELSEN is a Full Professor in the Department of Computer Science at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM). His research focuses on Software Engineering, Formal Methods, Model-Driven Engineering, and Algorithmic Graph Theory. He leads the LASSY Laboratory for Advanced Software Systems, emphasizing model decomposition, regulatory compliance, and formal verification techniques. Education: PhD in Computer Science (1993, University of Illinois at Urbana-Champaign), M.Sc. (1989, UIUC), and Diploma (1986, University of Karlsruhe). Postdoctoral work at the University of British Columbia and Max-Planck-Institut für Informatik. Research Interests: - Development of formal modeling languages (e.g., VCL, F-Alloy) - Model transformation and validation frameworks - Algorithms for compliance and complexity challenges - Visual and modular design methodologies Funding: - ASINE (FNR Pearl, 2013–present): Architecture-based service innovation - MaRCo (FNR Core, 2010–2013): Business-centric regulatory compliance Publications span model-driven engineering, formal methods, and algorithmic foundations, with recent work exploring AI integration in domain modeling and compliance analysis. Labs/Teams: LASSY Laboratory, collaborating on tools like Lightning and Democles for executable modeling frameworks.

Martin Burgerمشاهده پروفایل

استاد

• Inverse Problems
• Applied Mathematics
• Mathematical Modelling
• +۱۵ مورد دیگر

Prof. Dr. Martin Burger is a leading scientist at DESY and a Full Professor in the Department of Mathematics at Universität Hamburg, where he leads the Computational Imaging Group. His research bridges applied mathematics, imaging sciences, and machine learning, with a focus on inverse problems, mathematical modeling, and partial differential equations. He has held professorial positions at Universität Münster and FAU Erlangen-Nürnberg prior to his current dual appointment. Full Professor, Universität Hamburg (2023–present) Leading Scientist, DESY, Hamburg (2023–present) Full Professor, FAU Erlangen-Nürnberg (2018–2023) Full Professor, Universität Münster (2006–2018) His research interests include inverse problems, variational regularization, optimal transport, kinetic models, and mathematical modeling in biology and social sciences. He has made significant contributions to imaging reconstruction, sparse neural networks, and the analysis of transformer architectures. His work often integrates theoretical analysis with computational methods, influencing both pure and applied mathematics. The most recent articles reflect a strong trend toward interdisciplinary applications, combining deep learning with PDE-based modeling, analyzing social and biological systems via kinetic and mean-field models, and advancing mathematical imaging through graph-based and optimal transport methods. His publications span high-impact venues in applied mathematics and computational science. Calderon Prize, Inverse Problems International Association (IPIA) ERC Consolidator Grant (2014) Invited speaker at ECM (2021), ICM (2022), and ICIAM (2023) Editor-in-Chief, European Journal of Applied Mathematics (since 2017) Prof. Burger has supervised numerous PhD students and postdoctoral researchers, many of whom appear as co-authors in his publications. His research is supported by major grants, including funding from the German Federal Ministry of Education and Research (BMBF). He is actively involved in collaborative projects across mathematics, physics, and engineering disciplines. He leads the Computational Imaging Group at DESY, fostering a collaborative environment for developing novel mathematical tools in imaging science. The group works on both theoretical foundations and practical implementations, contributing to advancements in tomography, machine learning, and data analysis.

Kavan Modiمشاهده پروفایل

استاد

• Quantum Information Theory
• Quantum Mechanics
• Quantum Physics
• +۶ مورد دیگر

Kavan Modi is a Professor at the School of Physics and Astronomy, Monash University. His research focuses on quantum information theory applied to dynamics, metrology, computation, thermodynamics, and relativity. He leads the Monash Quantum Information Science (MonQIS) group and serves as Director of the Centre for Quantum Technology at Transport for NSW (2022–2024). Education: B.Sc. Engineering Physics (Embry-Riddle Aeronautical University, 2001), M.A. Physics (University of Texas at Austin, 2004), Ph.D. Physics (University of Texas at Austin, 2008). Postdoctoral positions included the Centre for Quantum Technologies (Singapore, 2008–2011) and Clarendon Lab, Oxford (2011–2013). Joined Monash in 2014. Research interests center on quantum dynamics, non-Markovian processes, and their applications in quantum computing and information science. Projects include developing error correction codes, quantum algorithms for network analysis, and mitigating correlated noise in quantum systems. He has authored over 111 publications, with recent work emphasizing non-Markovian characterization, quantum process tomography, and topology-based quantum algorithms. Awards and grants include leadership in multiple Australian Research Council projects. Advising/Grants: Primary Chief Investigator in projects like 'Quantum Software Platform' (2023–2026) and 'Mitigating Correlated Noise in Quantum Machines' (2020–2021). Supervises graduate students and collaborates globally on quantum information science. Labs/Teams: MonQIS group focuses on foundational and applied quantum research, integrating theory and experimental collaborations.

• Programming Language Theory
• Dependent and Refinement Types
• Computational Effects
• +۶ مورد دیگر

Danel Ahman is an Associate Professor at the Institute of Computer Science , University of Tartu , Estonia, specializing in programming language theory . His research focuses on dependent/refinement types , computational effects , and verified software . Education PhD in Theoretical Computer Science (University of Edinburgh, 2017) MPhil in Advanced Computer Science (University of Cambridge, 2012) BSc in Informatics (Tallinn University of Technology, 2010) Research Interests : Danel investigates programming languages with algebraic effects and effect handlers for verified software, exploring denotational/operational semantics and fibrational approaches to effects. His work bridges theoretical computer science with practical formal verification. Scientific Awards : Estonian Research Council grant (2025) Marie Skłodowska-Curie Fellowship (2019) PhD dissertation prize (2018) Google/Citrix dissertation awards (2012) Teaching & Supervision : He teaches courses like Logic in Computer Science and Functional Programming at the University of Tartu, and supervised BSc/MSc theses on topics including asynchronous effects and formal verification. Danel also organizes research seminars and guest lectures on F*.

Gizem Karaaliمشاهده پروفایل

استاد

• Representation Theory
• Algebraic Combinatorics
• Humanistic Mathematics
• +۳ مورد دیگر

Gizem Karaali is a Professor of Mathematics and Statistics and Chair of the Mathematics Department at Pomona College, part of The Claremont Colleges. She holds a Ph.D. in Mathematics from UC Berkeley (2004) and a B.S. in Electrical Engineering and Mathematics from Boğaziçi University. Her research spans algebraic structures like Lie algebras, representation theory, and humanistic mathematics, with a focus on integrating social justice into mathematics education. She co-founded the Journal of Humanistic Mathematics and created innovative courses such as the first-year seminar Can Zombies Do Math? to explore mathematics’ humanistic dimensions. Research Interests: Representation Theory, Algebraic Combinatorics, Quantitative Literacy, Mathematics Education, and the intersection of math with social justice. She has published widely in journals like Advances in Mathematics , Ramanujan Journal , and Journal of Humanistic Mathematics . Awards: NSA Young Investigator Award (2011-2013), NEH Enduring Questions Grant (2014-2016), AMS Project NExT Fellow. Active in editorial roles for Journal of Humanistic Mathematics and Numeracy . Teaching: Courses include Calculus, Linear Algebra, Abstract Algebra, and interdisciplinary topics like Mathematics, Philosophy, and the Real World. Advised senior theses in diverse areas including ethnomathematics and quantitative literacy.

Anne Berit C. Samuelsenمشاهده پروفایل

دانشیار

• Polysaccharide Chemistry
• Pharmacognosy
• Carbohydrate Polymers
• +۴ مورد دیگر

Anne Berit C. Samuelsen serves as Associate Professor at the Department of Pharmacy, University of Oslo, where she also holds the position of Head of Education. Her academic foundation includes a Cand.pharm. degree and Dr.scient. doctorate, establishing her expertise in pharmaceutical sciences. Her research centers on polysaccharides from natural sources—particularly higher plants, cereals, and fungi (Basidiomycota)—with specialized focus on β-glucans. Key interests include carbohydrate chemistry, pharmacognosy, and the development of biopolymer-based pharmaceutical applications. Her work bridges fundamental structural characterization with practical drug delivery solutions, notably through liposome coating technologies and immunomodulatory compound development. Recent publications reveal a strong trajectory in fungal polysaccharide research, particularly with Pleurotus eryngii and Albatrellus ovinus species. Her team employs advanced techniques like diffusion-ordered NMR spectroscopy to analyze polysaccharide structures while investigating biological activities related to immune receptor binding (Dectin-1, Toll-like receptors) and therapeutic applications. This work demonstrates consistent output in high-impact journals including Carbohydrate Polymers and ACS Applied Bio Materials . She actively contributes to academic instruction through courses such as FARM1150 (Pharmaceutically Oriented Biochemistry), FARM3100 (Pharmacognosy), and FARM5200 (Use of Biopolymers in Pharmaceuticals). Her leadership extends to the Bioactive Natural Substances and Health Effects (BioNatH) research group and the Glyconor Consortium, where she investigates natural product applications for health improvement.

Ioachim Pupezaمشاهده پروفایل

استاد

• Optical Spectroscopy
• Field-Resolved Spectroscopy
• Precision Optical Measurements
• +۶ مورد دیگر

Prof. Dr. Ioachim Pupeza serves as Group Leader in the Department of Spectroscopy/Imaging at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany. His research focuses on advanced optical measurement techniques, particularly in the field of field-resolved spectroscopy and precision optical measurements. Dr. Pupeza's research interests center around optical spectroscopy with a particular emphasis on field-resolved techniques that capture the complete electric field waveform of light-matter interactions. His work spans infrared spectroscopy , molecular fingerprinting , ultrafast laser technology , and precision optical measurements . He has made significant contributions to electro-optic sampling techniques, which enable characterization of electric-field waveforms across the terahertz to visible spectral range. His research also extends to mid-infrared light generation , terahertz spintronic emitters , and cavity-enhanced spectroscopy , with applications ranging from fundamental physics to medical diagnostics. Analysis of Dr. Pupeza's recent publications reveals a strong trend toward increasingly sophisticated field-resolved spectroscopy techniques with applications in both fundamental science and practical diagnostics. His work has evolved from basic measurement techniques to applications in cancer detection through molecular fingerprinting of biofluids. A consistent theme across his publications is the pursuit of higher precision, broader bandwidth, and improved sensitivity in optical measurements, often achieving attosecond-level precision. His research bridges physics, engineering, and medical applications, demonstrating how fundamental optical advances can translate to real-world diagnostic tools. Dr. Pupeza leads the research group "Field-Resolved Optical Precision Measurement Methods" at Leibniz-IPHT, which appears to collaborate extensively with other research institutions and groups. His work involves sophisticated laser systems including high-power Yb:YAG thin-disk oscillators, femtosecond enhancement cavities, and dual-oscillator systems for precision measurements. The group's research has implications for molecular spectroscopy, medical diagnostics, and fundamental studies of light-matter interactions at the most fundamental time scales.

• Programming Language Design
• Program Verification
• Type Theory
• +۳ مورد دیگر

Neelakantan R. Krishnaswami is a Professor of Computer Science at the University of Cambridge's Computer Laboratory , and a Fellow of Trinity College . His research focuses on the intersection of program verification, programming language design, and foundational topics like type theory and semantics. His work spans areas such as refinement types, parser design, separation logic for systems software, and the semantics of reactive programming. Notable contributions include the Datafun language for higher-order Datalog and the λert type theory for explicit refinement types. He has also developed foundational frameworks for verifying imperative programs using advanced type systems and logical relations. Key publications include 'Explicit Refinement Types' (ICFP 2023), 'flap: A Deterministic Parser with Fused Lexing' (PLDI 2023), and 'CN: Verifying Systems C Code' (POPL 2023). His work frequently addresses challenges in efficiency, correctness, and modularity for both functional and imperative systems. His awards include Distinguished Paper Awards at PLDI 2019 and POPL 2020. His research integrates theoretical rigor with practical tooling, exemplified by contributions to languages like Coq, Lean, and Haskell.