جست‌وجوی استاد و پژوهشگر

Antoine Tilloyمشاهده پروفایل

پژوهشگر

• Quantum Field Theory
• Tensor Networks
• Quantum Foundations
• +۴ مورد دیگر

Antoine Tilloy is a researcher at Mines Paris – PSL 's Centre Automatique et Systèmes , affiliated with the Quantic group (a joint venture with Inria Paris, ENS Paris, and Mines Paris). He focuses on the intersection of quantum field theory and tensor networks , particularly relativistic continuous matrix product states (RCMPS) for solving non-perturbative QFT problems. His work emphasizes rigorous numerical methods and their competitiveness with lattice gauge theory approaches. His research includes: ERC-funded projects on tensor networks in quantum field theory Collaborative work with Clément Delcamp on tensor renormalization Comparative studies of quantum computing, tensor networks, and Monte-Carlo methods for QCD He actively participates in academic outreach through blog posts, teaching assistant roles, and postdoc/PhD recruitment. His technical advancements aim to improve error scaling in variational optimization algorithms while addressing the limitations of structured versus unstructured approaches in theoretical physics.

Erez Zoharمشاهده پروفایل

دانشیار

• Quantum Many-Body Theories
• Quantum Information
• Quantum Optics
• +۴ مورد دیگر

Dr. Erez Zohar is an Associate Professor at the Racah Institute of Physics, Hebrew University of Jerusalem, Israel. His research focuses on the intersection of quantum many-body theories, quantum information, and quantum optics, particularly addressing challenges in strongly correlated systems and their applications to particle physics. In 2025, he will transition to the School of Physics and Astronomy at Tel Aviv University. Education: BSc in Physics and Mathematics, Tel Aviv University (2009) Doctoral research at Tel Aviv University under Prof. Benni Reznik Dr. Zohar works on developing novel tools for quantum simulation of lattice gauge theories, combining tensor network states with Monte Carlo methods to tackle non-perturbative problems in high energy physics. His research includes constructing gauge-invariant tensor networks with fermionic matter fields and mapping high-energy physics models to laboratory-controllable systems. His recent publications focus on quantum simulation of non-Abelian gauge theories, truncation-free QED simulations with Josephson arrays, and advancements in fermionic PEPS for gauge theories. The work demonstrates expertise in tensor networks, quantum field theory, and quantum computing applications. Scientific Awards: ERC Consolidator Grant (2023) for the OverSign project Adams Fellowship (during PhD at Tel Aviv University) Dr. Zohar's research program aims to reconstruct physical theories from fundamental components, revealing new perspectives in quantum field theory and enabling experimental approaches to previously inaccessible systems. His group's methodology combines theoretical innovation with practical quantum simulation design.

• Combinatorial Optimization
• Quadratic Programming
• Binary Optimization
• +۵ مورد دیگر

Cédric Elloumi is a Professor at the CEDRIC Laboratory within Conservatoire National des Arts et Métiers (CNAM), specializing in combinatorial optimization and mathematical programming. With a continuous publication record since 1992, he has established himself as a leading researcher in quadratic programming, binary optimization, and facility location problems. His research interests focus on developing exact and approximate methods for discrete optimization problems, particularly through convex reformulation techniques. Elloumi has made significant contributions to the p-center and p-median problems, quadratic assignment problems, and more recently, quantum-inspired optimization methods. His work bridges theoretical advancements with practical applications in network design, energy systems, and telecommunications. Analysis of his recent publications (2022-2025) reveals a continued focus on facility location problems, with increasing attention to robust optimization under uncertainty and emerging applications in quantum computing. His research demonstrates consistent methodological innovation, particularly in reformulation techniques that transform difficult non-convex problems into tractable forms. Throughout his career, Elloumi has maintained extensive collaborations with researchers including Billionnet, Lambert, Alès, and Plateau, resulting in numerous publications in top-tier optimization journals such as Journal of Global Optimization, Computers and Operations Research, and Mathematical Programming.

Simon Brendleمشاهده پروفایل

استاد

• Differential Geometry
• Nonlinear Partial Differential Equations
• Geometric Analysis
• +۴ مورد دیگر

Simon Brendle is a German-American mathematician and Professor of Mathematics at Columbia University , having previously served as professor at Stanford University from 2005 to 2016. He also held visiting positions at MIT, ETH Zürich, Princeton University, and Cambridge University. Education: Dr. rer. nat. (2001), University of Tübingen, advised by Gerhard Huisken Research Interests: Simon Brendle works at the intersection of differential geometry and nonlinear partial differential equations . His core areas include conformal geometry , Ricci flow , mean curvature flow , and minimal surface theory . He has resolved celebrated problems such as the differentiable sphere theorem, the Lawson conjecture, and the convergence of the Yamabe flow in all dimensions. His work often involves deep analysis of geometric evolution equations, exploring singularity formation, uniqueness of self-similar solutions, and rigidity phenomena under curvature conditions. Publications Overview: Brendle’s recent articles span breakthrough results on minimal tori in the 3-sphere, rotational symmetry of Ricci-flow singularities, scalar-curvature deformations, and curvature-pinching theorems. Collectively these works advance understanding of geometric flows, global structure theorems, and the interplay between curvature and topology. Awards & Honors: 2024 Breakthrough Prize in Mathematics 2017 Fermat Prize 2017 Simons Investigator Award 2014 Bôcher Prize (AMS) 2012 EMS Prize 2006 Alfred P. Sloan Fellowship Delivered the 2012 Euler Lecture and 2011 Takagi Lectures PhD Advising & Grants: Brendle has mentored doctoral students including Otis Chodosh , now a leading researcher in geometric analysis. His research has been supported by prestigious grants, most notably the Simons Investigator Award. Laboratories & Collaborations: While no formal laboratory is listed, Brendle actively collaborates with leading mathematicians worldwide, including Richard Schoen, Fernando C. Marques, and André Neves, frequently working at the intersection of geometry and analysis.

Michael Karowمشاهده پروفایل

پژوهشگر

• Numerical Linear Algebra
• Control Theory
• Matrix Analysis
• +۶ مورد دیگر

Michael Karow is a Researcher at the Institute of Mathematics , Technical University of Berlin , affiliated with the Faculty II - Mathematics and Natural Sciences . His research focuses on Numerical Linear Algebra , Control Theory , and Matrix Perturbation , with specific interests in Pseudospectra , Stability Radii , and Structured Eigenvalue Problems . Educational background includes a Ph.D. (2003) from the University of Bremen, titled " Geometry of Spectral Value Sets ," and a Habilitation (2009) at TU Berlin. His work spans collaborations with institutions like IIT Guwahati, EPFL Lausanne, and SUNY Utica. His research involves stabilizing discrete-time linear systems via matrix factorizations, structured matrix pencils with no spillover effects, and backward error analysis for palindromic polynomials. Publications highlight applications in finite element model updating , eigenvalue sensitivity , and geometric matrix theory . Teaching includes courses like Numerical Mathematics 1 for Engineering , Differential Equations and Numerics , and Calculus of Variations . He has led workshops in India, Italy, and the U.S., focusing on numerical methods and control theory.

Sören Kraußharمشاهده پروفایل

استاد

• Dirac and Laplace operator on manifolds
• Complex and hypercomplex analysis
• Slice monogenic functions
• +۸ مورد دیگر

Prof. Dr. Sören Kraußhar is a Professor in the Department of Mathematics and Mathematics Education at the Faculty of Educational Science, University of Erfurt. His office is located in Teaching Building 2, Room 109b. He is actively involved in research and teaching in advanced mathematical analysis, with particular expertise in hypercomplex function theory and its applications to physics and engineering problems. Prof. Kraußhar's research spans Dirac and Laplace operators on manifolds, complex and hypercomplex analysis, slice monogenic functions, harmonic and hypercomplex automorphic forms, parabolic partial differential equations, and non-commutative geometry. His work represents a sophisticated integration of pure mathematical theory with practical applications in physics, particularly in magnetohydrodynamics and quantum mechanics. He has developed significant theoretical frameworks for octonionic and quaternionic analysis that extend traditional complex analysis to more complex algebraic structures. His publication record demonstrates a consistent progression from classical complex analysis toward more advanced hypercomplex analysis, with notable contributions to octonionic Bergman and Szegö kernels, Cauchy formulas in discrete settings, and variational principles with applications to magnetohydrodynamic equations. His recent work shows increasing focus on fractional calculus applications within hypercomplex settings and eigenvalue problems for slice functions. Prof. Kraußhar maintains active collaborations with researchers including F. Colombo, D. Legatiuk, and I. Sabadini, resulting in publications in high-impact journals such as Complex Analysis and Operator Theory, Journal of Geometry and Physics, and Mathematical Methods in the Applied Sciences. His work continues to push theoretical boundaries while maintaining relevance to physical applications, particularly in differential equations and mathematical physics.

Giovanni Fantuzziمشاهده پروفایل

استادیار

• Optimization
• Dynamical Systems
• Fluid Mechanics
• +۴ مورد دیگر

Giovanni Fantuzzi serves as a W1 Professor (equivalent to Assistant Professor) in the Department of Mathematics at Friedrich-Alexander University Erlangen-Nuremberg. He leads research within the FAU DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics under the Alexander von Humboldt Professorship framework, holding office in Room 03.318 with contact details including giovanni.fantuzzi@fau.de and +49 9131 85-67134. His educational background includes a PhD and Master of Engineering in Aeronautics from Imperial College London, supplemented by a research position in Engineering Science at the University of Oxford during his doctoral studies. Key academic milestones are documented through his ORCID, Google Scholar, and LinkedIn profiles. Fantuzzi's research program integrates mathematical analysis with computational optimization to solve nonlinear differential equations, focusing on deriving a priori scaling laws for heat transport and developing provable numerical schemes for PDE-constrained optimization. His methodology bridges convex optimization, polynomial optimization, and dynamical systems theory, with recent applications extending to transformer neural networks and sentiment analysis through hardmax mechanisms. Current teaching includes Data-driven methods for dynamical systems and Polynomial optimization and applications for WS 24/25. Analysis of his 15 most recent publications reveals dominant trends in fluid mechanics (particularly convection and heat transfer), polynomial optimization techniques, and data-driven dynamical systems analysis. His work consistently applies convex optimization frameworks to derive rigorous bounds in physical systems while expanding into machine learning applications like transformer model analysis. Geophysical Fluid Dynamics Fellowship at WHOI (2015) EPSRC Doctoral Prize Fellowship (2018) Imperial College Research Fellowship Fantuzzi's research program is supported by prestigious fellowships including the Imperial College Research Fellowship and EPSRC Doctoral Prize. His academic service includes organizing the FAU MoD Lecture & Workshop on AI for maths and maths for AI (June 2025) and co-hosting the #MLPDES25 Machine Learning and PDEs Workshop. He actively supervises research within the FAU DCN-AvH group, focusing on polynomial optimization applications in dynamical systems and PDEs. As core faculty in the FAU DCN-AvH Chair, Fantuzzi collaborates within a multidisciplinary team specializing in dynamics, control, machine learning, and numerical methods. The group maintains strong international connections through workshops like the Oberwolfach Seminar on Polynomial Optimization for Nonlinear Dynamics and participates in conferences including CIN-PDE and Nečas Seminar on Continuum Mechanics, driving innovation at the intersection of mathematics and computational physics.

Frank Leymannمشاهده پروفایل

استاد

• Quantum Computing
• Cloud Computing
• Service-Oriented Architecture
• +۷ مورد دیگر

Frank Leymann is a Professor at the Institute for Architecture of Application Systems, University of Stuttgart. His research spans quantum computing, cloud systems, middleware, and business process management. Affiliation: University of Stuttgart, Institute for Architecture of Application Systems Key Projects: PlanQK, EniQmA, OpenTOSCA, SeQuenC Academic Recognition: Over 30 years of publications in service computing and quantum technologies Research Interests: His work focuses on quantum software engineering , hybrid quantum-classical systems , and cloud application architectures . Notable contributions include TOSCA standardization for cloud deployment and systematic studies on quantum optimization. Recent Publications: 2025-2024 articles emphasize quantum algorithm expressivity , cross-chain blockchain transactions , and post-quantum security . Earlier works (2023-2021) address quantum workflow provenance , QAOA optimization , and IoT platform architectures . Technical Leadership: Director of a multidisciplinary team developing frameworks like OpenTOSCA and tools for quantum application deployment.

• Mathematics
• Probability
• Stochastic Processes
• +۳ مورد دیگر

Tal Orenshtein is a tenure-track Assistant Professor at the Department of Mathematics and Applications, University of Milano-Bicocca. Their research focuses on stochastic processes, probability theory, and mathematical models in statistical mechanics, including rough paths in random media, interface dynamics in 1+1 dimensions, and self-interacting random walks. They actively participate in international conferences and seminars such as the 4th Italian Meeting on Probability & Mathematical Statistics and the CIME Summer School. Education: Master's thesis under Boaz Tsaban (Adv. Math., 2013) addressing a variation of the Gerlits-Nagy open problem in topology. Key research themes include: Wetting dynamics and space-time correlations in KPZ/EW universality classes. Random walks in static/dynamic environments and their interactions with probabilistic models. Collaborations include prominent researchers like Peter K. Friz, Gady Kozma, and Boaz Tsaban. Contact: Office 3044, U5 building, Via R. Cozzi 55, 20125 Milan, Italy | Phone: +39 02 6448 5714

• International Economics
• Macroeconomics
• Organizational Economics
• +۳ مورد دیگر

Jan Schymik is an Acting Professor of Economics (W3 fix-term) at the University of Mannheim and an affiliated member of the Bonn-Mannheim Center for Collaborative Research CRC TR 224. His research focuses on International Economics, Macroeconomics, and Organizational Economics, with significant contributions to understanding trade policy, firm organization, and macroeconomic spillovers in currency unions since joining the university in 2018. His educational background includes: PhD in Economics from Ludwig Maximilian University of Munich Diploma in Business Economics from University of Mannheim Schymik's research agenda bridges theoretical modeling and empirical analysis across three core domains. In international economics, he examines how trade policies reshape global supply chains and industrial structures, particularly through directed technological change in critical resources. His macroeconomic work analyzes structural reforms in currency unions and pandemic-era labor market dynamics. Organizational economics research investigates how managerial incentives affect capital allocation and firm structure under globalization. Recent projects integrate these threads to study industrial policy in global value chains. Analysis of his 15 most recent publications reveals accelerating focus on supply chain resilience (2025), with rare earth elements research demonstrating how export restrictions spur global innovation. Earlier work establishes foundational links between trade liberalization, corporate governance, and income inequality. Methodologically, he combines structural modeling with novel datasets including patent classifications, administrative records, and input-output tables. His scientific recognition includes: FIW International Economics Conference Best Paper Award Walther-Rathenau Best Paper Award Schymik actively supervises Bachelor and Master theses on International Trade, Macroeconomics, and Firm Organization, with all Spring 2025 slots filled. He secured German Research Foundation (DFG) funding for his 2025 project 'The New Economics of Industrial Policy in a Global Economy'. Additional support includes a 2022 Fulbright fellowship for visiting research at Harvard Business School. His teaching portfolio spans graduate-level International Macroeconomics and undergraduate Organizational Economics. He contributes to the Bonn-Mannheim Center for Collaborative Research CRC TR 224, focusing on competition microstructure, and maintains active collaborations with institutions including the World Bank, ECB, and Banque de France as evidenced by recent speaking engagements.

Julia Brunkenمشاهده پروفایل

پژوهشگر

• Transport-dominated problems
• Kinetic equations
• Hierarchical model reduction
• +۲ مورد دیگر

Julia Brunken is a Research Associate at the Institute for Analysis and Numerics (Department of Mathematics and Computer Science, University of Münster). She earned her PhD in Mathematics (Dr. rer. nat.) in 2023 under supervision of Prof. Dr. Mario Ohlberger and Dr. Kathrin Smetana, following an MSc (2015) and BSc (2013) in Mathematics with Physics minors. Research Focus: Stable Petrov-Galerkin discretizations for transport-dominated problems (linear transport equations, kinetic Fokker-Planck equations), hierarchical model reduction, reduced basis methods, and space-time variational formulations. Her work emphasizes uniform inf-sup stability and parameterized systems. Teaching: Collaborated on practical courses in nonlinear modeling (2020/21, 2016, 2015) and numerical methods (2016/17, 2015/16) at University of Münster. Projects: Participated in GlioMaTh (2016–2019), a federally funded project on glioma therapy modeling.

Manuel Friedrichمشاهده پروفایل

استاد

• Calculus of Variations
• Multiscale Methods
• Free-discontinuity Problems
• +۷ مورد دیگر

Manuel Friedrich is a Professor at FAU Erlangen-Nürnberg , where he leads the research group in Applied Analysis. Previously, he held a Junior Professorship at the University of Münster and was a Postdoc at Universität Wien. His work bridges the Calculus of Variations , Multiscale Methods , and Materials Science , with a focus on Free-discontinuity Problems , Atomistic Models , and Geometric Rigidity . Education : PhD in TopMath elite graduate program (University of Augsburg, 2015), Masters and Bachelors in Mathematics (TU München). Research : He explores variational models for brittle fracture , crystallization in lattices , and geometric stability of nanostructures , often collaborating with Ulisse Stefanelli and others. Awards : Recipient of the Feodor Lynen Fellowship (2015-2018) from the Alexander von Humboldt Foundation. Students : Collaborates with researchers like Leonard Kreutz , Lennart Machill , and Konstantinos Zemas on projects involving graphene ripples and viscoelastic plate theory . Grants : Funded by DFG grants for fracture models in SBD (2019-2021) and metric gradient flows in solid mechanics (2021-2024).

Benedikt Wirthمشاهده پروفایل

استاد

• Optimisation and calculus of variations
• image processing
• scientific computing
• +۹ مورد دیگر

Prof. Dr. Benedikt Wirth is a Professor of Mathematics at the University of Münster, Germany, affiliated with the Institute for Analysis and Numerics within the Department of Mathematics and Computer Science. He is an active researcher and educator specializing in optimization and calculus of variations, with significant contributions to mathematical imaging and shape analysis. His research interests include image processing, scientific computing, numerical analysis, optimization, shape spaces, geodesics in shape space, variational methods, elastic deformation, and optimal transport. Wirth has developed innovative mathematical frameworks for shape analysis, particularly focusing on Riemannian metrics for shape spaces and variational approaches to shape comparison and optimization. His recent publications (2023-2025) demonstrate continued leadership in mathematical optimization, with particular focus on PET reconstruction, dimension reduction techniques, manifold embeddings, and branched transport theory. His work bridges theoretical mathematics with practical applications in medical imaging and computer vision, showing particular strength in connecting geometric analysis with computational methods. CRC 1450 - A05: Targeting immune cell dynamics by longitudinal whole-body imaging and mathematical modelling CRC 1450 - A06: Improving intravital microscopy of inflammatory cell response by active motion compensation EXC 2044 - C1: Evolution and asymptotics EXC 2044 - C2: Multi-scale phenomena and macroscopic structures EXC 2044 - C3: Interacting particle systems and phase transitions EXC 2044 - C4: Geometry-based modelling, approximation, and reduction Prof. Wirth actively supervises numerous bachelor's and master's students, with over 40 theses completed under his guidance since 2015. His teaching portfolio includes courses on inverse problems, numerical methods for partial differential equations, shape spaces, optimization, and optimal transport. He has consistently maintained an active research program while contributing significantly to the education of the next generation of mathematicians.

• Calculus of Variations
• Nonlinear Partial Differential Equations
• Materials Science
• +۵ مورد دیگر

Prof. Dr. Carolin Kreisbeck is a full professor holding the Chair of Analysis in the Department of Mathematics at the Faculty of Mathematics and Geography, Catholic University of Eichstätt-Ingolstadt. She serves as Dean of the Faculty since October 2023 and maintains active research collaborations across Europe. Her research focuses on nonlinear partial differential equations and calculus of variations, with particular expertise in: Variational multiscale problems and relaxation techniques Applications in materials science (elasticity, plasticity, metamaterials) Nonlocal operators and fractional calculus Image processing and machine learning applications Gamma-convergence and homogenization theory Her recent publications (2022-2025) demonstrate strong emphasis on nonlocal gradient theories, materials modeling, and variational methods for multiscale problems. The works consistently integrate rigorous mathematical analysis with applications in physics and engineering sciences. Awards and recognitions include: NWO TOP Grant for postdoc position (2019-2021) Multiple teaching excellence awards (University of Regensburg 2013, Utrecht BKO 2016) Prestigious scholarships (Westerdijk, TopMath, Oberwolfach) EON Culture Prize Bavaria (2011) She holds significant professional roles including Associate Editor for Advances in Continuous and Discrete Models , GAMM committee leadership, and organization of international mathematics conferences.

Thao Nguyen Hieuمشاهده پروفایل

مدرس

• Applied Mathematics
• Data Science
• Variational Analysis
• +۴ مورد دیگر

Dr. Thao Nguyen Hieu serves as a Lecturer in IT at RMIT University Vietnam's Faculty of Science, Engineering & Technology, based at the Saigon South Campus. With higher education experience spanning six universities across four countries, he brings substantial international expertise to his role. His research interests focus on Variational Analysis , Optimization Algorithms , Inverse Problems in Imaging , and Convolutional Neural Networks , representing a strong intersection of mathematical theory and practical applications in data science. His teaching portfolio includes Introduction to Programming (Python), Mathematics for Computing, and Statistical Signal Processing at the Masters level. German-Israeli Foundation Scholarship (2015-2017) Australian Research Council Scholarship (2011-2015) Special Overseas Student Scholarships (SOSS), Australia (2011-2015) Student Travel Award, Federation University Australia (2012) Best oral presentation 1st prize award (2013) Odon Vallet Scholarship (2004) Two bronze Medals in Mathematics Olympiad (2003, 2004) Dr. Hieu has supervised numerous graduation theses for math and engineering students and maintains active research connections through projects like Metrology Advances for Digitized Electronic Components and Systems Industry 4.0 (2019-2021) and Integrating Real-time and Post-processing Image Restoration (2017-2019).