جست‌وجوی استاد و پژوهشگر

Ivan B. Penkovمشاهده پروفایل

استاد مدعو

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

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

Malte Wincklerمشاهده پروفایل

پژوهشگر ارشد

• Numerical Analysis
• Partial Differential Equations
• Maxwell's Equations
• +۶ مورد دیگر

Dr. Malte Winckler is a research-active academic in the Faculty of Mathematics at the University of Duisburg-Essen, Germany. His work centers on the numerical analysis of partial differential equations with applications in superconductivity and electromagnetic field modeling. His research focuses on numerical analysis of PDEs , particularly Maxwell's equations , variational inequalities , and shape optimization . He applies advanced mathematical techniques to model physical phenomena in type-II superconductors , including Bean's critical-state model and H(curl)-elliptic systems. His methodological expertise lies in finite element methods, adaptive approximation schemes, and optimal control. The recent publications show a consistent focus on developing and analyzing numerical schemes for non-smooth and nonlinear PDEs arising in superconductivity. Key themes include adaptive edge elements , fully discrete approximations , and shape optimization under physical constraints . These works appear in top-tier applied mathematics journals such as SIAM Journal on Numerical Analysis and Computational Optimization and Applications . Dr. Winckler is involved in the DFG SPP 1962 Priority Programme as a contributor to project 22 on non-smooth distributed parameter systems. He teaches courses such as Introduction to Numerical Methods and collaborates closely with Prof. Dr. Irwin Yousept. He has no listed scientific awards in the provided text. He maintains active research profiles on Google Scholar , ResearchGate , ORCID , and GitLab , indicating engagement with the broader scientific community. He advises no students listed in the material and is not indicated as part-time, retired, or former staff.

Dorothee Freyمشاهده پروفایل

استاد

• Harmonic Analysis
• Partial Differential Equations
• Functional Analysis
• +۴ مورد دیگر

Prof. Dr. Dorothee Frey is a Professor in the Department of Mathematics at Karlsruhe Institute of Technology (KIT), where she leads the Functional Analysis Working Group within the Institute for Analysis. Her position is situated in the Faculty of Mathematics, and she maintains an active research program focusing on harmonic analysis, partial differential equations, and functional analysis. With regular office hours on Tuesdays from 10am-11am in room 2.042 of the College Building for Mathematics, she actively supervises seminars and delivers lectures across multiple semesters through 2025. Prof. Frey's research interests center on harmonic analysis and its applications to partial differential equations, particularly wave phenomena, dispersive equations, and operator theory. Her work bridges theoretical mathematics with practical applications in fluid dynamics and mathematical physics. She has developed significant contributions in Strichartz estimates, wave equations with low regularity coefficients, and functional calculus approaches to paraproducts and pseudodifferential operators. Her research demonstrates strong connections between abstract functional analysis techniques and concrete problems in mathematical physics. Analyzing her publication record from 2013-2022 reveals consistent contributions to harmonic analysis, particularly in weighted norm inequalities, operator theory, and PDE applications. Her work shows increasing specialization in wave phenomena and dispersive equations, culminating in her current role as principal investigator in CRC 1173 projects on dispersive estimates for wave equations and nonlinear stability of periodic waves. The trend shows a clear progression from foundational work in functional analysis and harmonic analysis toward increasingly specialized applications in wave phenomena and mathematical physics. Prof. Frey actively contributes to the mathematical community through editorial work, serving on the editorial committees of Mémoires de la SMF and Bulletin de la SMF. Her organizational activities include co-organizing significant workshops and programs, such as the upcoming Frontiers in harmonic analysis program at the Isaac Newton Institute (2027) and the Workshop on Harmonic Analysis and Fluid Flows (2025), as well as past events like the Oberwolfach Seminar on Operator-Adapted Spaces in Harmonic Analysis and PDEs (2022). As a principal investigator in the Collaborative Research Center CRC 1173 'Wave phenomena: analysis and numerics,' Prof. Frey leads two major research projects: A13 on 'Dispersive estimates for wave equations with low regularity coefficients' (with R. Schnaubelt since July 2021) and A14 on 'Nonlinear stability of periodic waves in dissipative-dispersive systems' (with B. de Rijk since July 2023). These projects represent substantial research funding and collaborative efforts within the mathematical community. Prof. Frey is an active member of KIT's mathematical research infrastructure, participating in the Institute for Analysis and contributing to the Junior Research Groups ecosystem, particularly those focused on PDEs and wave phenomena. Her work intersects with multiple research groups within the Department of Mathematics, including those working on nonlinear partial differential equations and stability analysis, creating a robust collaborative environment for advancing mathematical analysis.

• Machine Learning
• Computational Modeling
• Biomedical Engineering
• +۳ مورد دیگر

Stephen Baek is a faculty member at the University of Iowa, Department of Industrial and System Engineering, with a PhD from Seoul National University's School of Mechanical and Aerospace Engineering. His research spans interdisciplinary applications of machine learning in computational modeling, biomedical engineering, and geometric data processing. Current Affiliation: University of Iowa, Department of Industrial and System Engineering PhD Institution: Seoul National University Stephen's work focuses on physics-informed machine learning , multiscale modeling , and geometric deep learning . He develops algorithms that integrate physical principles with neural networks for applications in energetic materials , human pose estimation , and medical imaging . His research also includes federated learning and interpretable AI for constraint-based synthesis and text classification. Recent publications highlight a physics-aware deep learning framework (PARCv2) for spatiotemporal dynamics, graph convolutional networks for airway mesh smoothing, and prototype trajectory methods for explainable AI. This work bridges computer science with applied physics and healthcare domains. Stephen actively collaborates across disciplines, evidenced by co-authors from institutions like Iowa, Seoul National University, and Samsung Electronics, with publications in venues such as CoRR , J. Mach. Learn. Res. , and NeurIPS . His methodological innovations address challenges in model heterogeneity , 3D surface processing , and constraint satisfaction .

• Machine Learning
• Recommender Systems
• Data Privacy
• +۷ مورد دیگر

Mihaela Curmei is a researcher active in machine learning, recommender systems, and algorithmic fairness, with significant contributions to privacy-preserving methods, behavioral modeling, and optimization. Her collaborative work spans institutions and co-authors like Benjamin Recht, Georgina Hall, and Sarah Dean. Research Themes: Shape-constrained regression using polynomial optimization Privacy in matrix factorization with public features Dynamic preference modeling grounded in psychology Multi-learner systems under participation dynamics Temporal impacts of recommendation algorithms Technical Domains: Sum-of-squares programming Federated and distributed learning Stochastic reachability analysis Gradient flow-based dataset modeling Key Venues: Published in Operations Research , NeurIPS, ICML, RecSys, FAccT, and preprint archives. Her recent work (2023-2025) focuses on temporal effects in recommendations, private computation methods, and equilibrium analysis in multi-agent games. Earlier projects (2017-2021) include search engine indexing techniques (BitFunnel) and foundational studies on offline/online metric correlations in recommendation systems.

• Machine Learning
• Control Systems
• Reinforcement Learning
• +۳ مورد دیگر

Benjamin Recht is a Professor at the California Institute of Technology , affiliated with the Center for the Mathematics of Information . His work spans Machine Learning , Control Systems , Reinforcement Learning , and Optimization , with a focus on theoretical guarantees, adaptive algorithms, and real-world applications. His research includes: Control Systems : Certainty equivalence, adaptive control, LQR, and robustness in dynamic environments. Machine Learning : Generalization bounds, interpolation in classifiers, test set overuse, and ethical frameworks for systemic harm detection. Neural Rendering : K-Planes for explicit radiance fields in space-time-appearance modeling. Recent publications (2025-2018) highlight trends in automating adaptive control , ethical machine learning , distributed computing , and 3D reconstruction . No student lists, awards, or lab details are explicitly mentioned.

• Sensory control of locomotion
• Active sensing in insects
• Insect sense of touch
• +۳ مورد دیگر

Volker Dürr is a Professor of Biological Cybernetics at Bielefeld University , Faculty of Biology, and a member of the Center for Cognitive Interaction Technology (CITEC) . His work focuses on sensory control of locomotion , active tactile sensing in insects , and biomimetic modeling of movement systems. Education : Habilitation in Zoology (University of Cologne, 2008; Bielefeld, 2005), PhD in Biology (Bielefeld, 1998), Diploma in Biology (Tübingen, 1994) Academic Career : Professor at Bielefeld (2009-present), Junior Research Group Leader (University of Cologne, 2007-2009), Research Assistant (Bielefeld, 1998-2006) His research investigates how insects use antennal mechanosensory systems and proprioception to control locomotion in complex environments. Key themes include goal-directed movements , sensorimotor integration , and biomimetic robotics . Publications emphasize tactile sensing (15/23 articles), neural control of movement (9/23), biomechanical modeling (7/23), and cross-species locomotion analysis (4/23). Recent work explores virtual reality paradigms for locomotion studies and spiking neural networks for proprioceptive modeling.

Simon Steuerمشاهده پروفایل

پژوهشگر

• Hybrid Location Models
• Internet of Things
• Data Quality of Environmental Sensors
• +۳ مورد دیگر

Simon Steuer, M.Sc., is a Research and Teaching Assistant (Wissenschaftlicher Mitarbeiter) at the Chair of Mobile Systems within the Faculty of Information Systems and Applied Computer Sciences at the University of Bamberg, Germany. Since 2016, he has been actively contributing to research and teaching in the areas of hybrid location models, Internet of Things (IoT), and data quality of environmental sensors. Education 2014–2016: Master of Science in Applied Computer Science, University of Bamberg 2010–2014: Bachelor of Science in Media Informatics, Hochschule Hof 2004–2007: Vocational Training as IT Systems Electronics Technician, Deutsche Telekom AG Research Interests Simon Steuer's research is centered around the development of hybrid location models that integrate symbolic and geometric location information. He is particularly focused on applications in smart agriculture, such as the WeideInsight project, where he works on energy-efficient localization systems for cattle using Bluetooth Low Energy (BLE) and Mioty (LPWAN) technologies. His work also encompasses the improvement of data quality from environmental sensors, especially in citizen science contexts, and the design of privacy-preserving architectures for smart city labs. Research Projects & Theses Supervision Steuer actively supervises student theses and projects, including: Development of semantic models for hybrid cow location techniques Data generators for smart spaces and agriculture simulations Filtering and evaluation of beacon-based indoor positioning data Literature surveys on map matching and information visualization in smart agriculture Code refactoring for LPWAN-based environmental sensors Design of location data players and visualization tools Labs and Teams He is a member of the Chair of Mobile Systems research group led by Prof. Dr. Daniela Nicklas. The group collaborates on projects such as Explanym , Crowdanym , FutureIOT , Living Lab Bamberg , SIMUTOOL , and WeideInsight , fostering interdisciplinary research in mobile systems, IoT, and smart environments.

• Aerospace Engineering
• Structural Mechanics
• Lightweight Construction
• +۳ مورد دیگر

Prof. Kai Uwe Schröder is the Director of the Institute of Structural Mechanics and Lightweight Construction at RWTH Aachen University. His research focuses on aerospace engineering, composite materials, and structural health monitoring, with a strong emphasis on digital twin technologies and lightweight design optimization. Research Areas: Aerospace structures, digital twins, composite materials, mechanical system optimization Applications: Satellite servicing, distributed propulsion wings, hydrogen pressure vessels, biomedical implants The recent publications highlight advancements in seal force modeling, damage detection methods, and machine learning-driven life prediction. Digital twin integration and modular space systems are recurring themes across his work. He leads the Institute's efforts in structural mechanics, addressing challenges in sustainable design, vibration analysis, and energy absorption materials. The research spans from theoretical modeling (e.g., shear panel theory) to practical applications in aviation and biomedical engineering.

Terence Chi-Shen Taoمشاهده پروفایل

استاد

• Harmonic analysis
• Partial differential equations
• Algebraic combinatorics
• +۵ مورد دیگر

Terence Tao is an Australian-American mathematician and professor of mathematics at the University of California, Los Angeles (UCLA), where he holds the James and Carol Collins Chair in the College of Letters and Sciences. Widely regarded as one of the greatest living mathematicians, Tao has received numerous prestigious awards including the Fields Medal, the Breakthrough Prize in Mathematics, and the MacArthur Fellowship. Dr. Tao's educational background includes: Bachelor's and Master's degrees from Flinders University (1991) Ph.D. from Princeton University (1996) under Elias M. Stein Tao's research spans an extraordinary breadth of mathematical fields. He is particularly known for his work in harmonic analysis, partial differential equations, combinatorics, and analytic number theory. His research has included groundbreaking contributions to compressed sensing, the Green-Tao theorem on arithmetic progressions in prime numbers, and progress on the Navier-Stokes equations. Tao is renowned for his collaborative approach, having worked with over 60 co-authors throughout his career. Tao's publications demonstrate remarkable diversity across mathematical disciplines. His work shows strong trends in connecting seemingly disparate areas of mathematics, often bringing techniques from one field to solve problems in another. He has made significant contributions to both theoretical and applied mathematics, with applications ranging from signal processing to number theory. Among his numerous scientific achievements, Tao has received: Fields Medal (2006) Breakthrough Prize in Mathematics (2014) Royal Medal (2014) MacArthur Fellowship (2006) Crafoord Prize (2012) Princess of Asturias Award (2020) Tao has mentored numerous students throughout his career, with Monica Vișan among his doctoral students. He has secured significant research funding through prestigious awards including the Packard Fellowship, Sloan Fellowship, and Simons Investigator award. His collaborative research has been supported by multiple National Science Foundation grants. Tao maintains an active research group at UCLA and frequently collaborates with mathematicians worldwide. His blog and public lectures have made advanced mathematical concepts accessible to broader audiences, demonstrating his commitment to mathematical education and outreach.

Georg Wenzelburgerمشاهده پروفایل

استاد

• Comparative Politics
• European Union Policy
• Public Policy Analysis
• +۷ مورد دیگر

Georg Wenzelburger is Professor of Political Science with a focus on Comparative European Research at Saarland University since September 2022. He holds a position within the Faculty of Empirical Humanities and is a member of the CEUS-Collegium. Previously, he served as Professor for Policy Analysis and Political Economy at the University of Kaiserslautern and as an Assistant Professor at the University of Freiburg. His research focuses on comparative political decision-making processes in the European Union, European states, and subnational levels. Wenzelburger examines policy differences and similarities across European states, the impact of European impulses on national political systems, and the role of political actors—particularly parties—in shaping policies. His work also explores how structural changes like digitalization, uncertainty, and social change affect political decision-making. Additional research interests include public policies in Western countries, with emphasis on the welfare state, law and order policies, public finances, and border regions. Wenzelburger's recent publications demonstrate a strong focus on algorithmic decision-making in criminal justice, border region cooperation, European integration, and the interplay between welfare policies and security policies. His work employs both quantitative and qualitative methods within an empirical-analytical framework, drawing on comparative political economy and public policy theories. Jenei Award for article in Public Management Review (2024) Wenzelburger leads significant third-party funded projects including PROTEMO (a Horizon Europe project worth approximately 3 million euros), Strakosim, and the European Cooperation Platform. His research team conducts work published in top journals such as British Journal of Political Science, European Journal of Political Research, Journal of European Public Policy, and West European Politics, as well as monographs with Routledge and Oxford University Press. At Saarland University, Wenzelburger teaches primarily in the European Studies program, offering courses including Introduction to European Governance, Politics between the Nation State and the EU, and advanced seminars in Comparative European Politics. He supervises theses in European and International Politics, European Studies: Politics, Law, and Society, and the Master's program Spaces, Politics, and Societies of Europe.

François Bertemesمشاهده پروفایل

استاد

• Prehistoric Archaeology
• Cultural History of Central/Southeastern Europe
• Circumpontic Region Archaeology
• +۵ مورد دیگر

Prof. Dr. François Bertemes (b. 1958) is a full Professor of Prehistoric Archaeology at Martin Luther University Halle-Wittenberg's Faculty of Philosophy I, where he directs research at the Institute for Art History, Archaeology and Classical Studies (IKAKLA). His academic journey began with studies in Luxembourg and Saarland University, culminating in a PhD (1985) and habilitation (1997). Since 1999, he has held his current position, during which he served as Dean (2002-2006, 2020-2022) and Senator (2014-2019, 2022-present). Bertemes' research explores: Cultural dynamics of 3rd-2nd millennium BCE Central/Southeastern Europe Circumpontic archaeology and early urbanization Bronze Age metallurgy and social complexity Ancient ritual landscapes and communication networks Neolithic monumentality and sacred spaces His publications show consistent focus on Bronze Age societies, ritual practices, and interregional connections. Recent works analyze monumental architecture (Pömmelte sanctuary), archaeogenetic kinship studies, and violence in Neolithic contexts, employing interdisciplinary approaches combining archaeology, anthropology, and material science. Bertemes has led significant projects including: DFG Research Unit FOR550 'Der Aufbruch zu neuen Horizonten' (2004-2012) Excavations at Tavşan Adası (since 2006) Early Bronze Age landscape studies around Pömmelte (since 2017) He co-founded the Max Planck Graduate School IMPRS ANARCHY (2011) and holds editorial roles for Prähistorische Zeitschrift and scholarly book series. His institutional service includes membership in the German Archaeological Institute's Roman-Germanic Commission and leadership in the Center for Black Sea Archaeology (ZAKS).

Quentin Boutonمشاهده پروفایل

پژوهشگر

• Ultracold Atomic Gases
• Quantum Thermodynamics
• Quantum Optics
• +۳ مورد دیگر

Quentin Bouton is a researcher at the Department of Physics, RPTU Kaiserslautern-Landau, specializing in experimental quantum systems with ultracold atomic gases. His work focuses on quantum thermodynamics, spin dynamics, and precision spectroscopy. Research interests include: Quantum probing with single impurities in ultracold baths Quantum heat engines and thermodynamic optimization Spin-motion coupling in Bose-Einstein condensates High-precision detector systems for particle tracking Scientific awards: Featured in Physics: Viewpoint Story (2020) His publications span topics such as quantum depletion in interacting Bose gases, coherent spectroscopy, and nonequilibrium quantum dynamics, with collaborations across Germany and France. Quentin Bouton contributes to advancing quantum technologies through experimental approaches involving single-atom control and ultracold collision systems.

• Evolutionary Morphology
• Invertebrate Zoology
• Biomechanics
• +۵ مورد دیگر

Prof. Dr. Oliver Betz is a Faculty of Science member at the University of Tübingen, leading the Evolutionary Biology of Invertebrates research group. His work bridges morphology, biomechanics, and conservation ecology. Institute of Evolution and Ecology, University of Tübingen Chair in Evolutionary Biology of Invertebrates Research Interests focus on: Ecomorphology: Integrating form, function, and ecology in arthropods Biomimetics: Translating biological structures to engineering solutions Synchrotron Imaging: Advanced techniques for analyzing insect morphology Conservation Biology: Mitigating urban mowing impacts on biodiversity Ultrastructural Analysis: Arthropod exocrine glands and adhesive systems Article Trends highlight interdisciplinary work combining synchrotron-based imaging, biomechanical analysis, and conservation strategies. Key subfields include predatory adaptations in Staphylinidae beetles, self-sharpening mandibles in locusts, and urban green space management. Scientific Awards : Ernst Jünger Prize for Entomology (2016) Collaborations span institutions like the Society for Comparative and Integrative Biology and initiatives such as Bunte Wiese for urban biodiversity.

Niv Buchbinderمشاهده پروفایل

استاد

• Combinatorial Optimization
• Online Algorithms
• Algorithmic Game Theory
• +۲ مورد دیگر

Prof. Niv Buchbinder is a faculty member in the Department of Statistics and Operations Research at the School of Mathematical Sciences, Tel Aviv University. His research centers on algorithmic solutions for combinatorial optimization in offline and online contexts, with significant contributions to primal-dual methodologies and algorithmic game theory. His academic background includes a Ph.D. in Computer Science from the Technion (2008) under Prof. Seffi Naor and an M.Sc. in Computer Science from the Technion (2003) under Prof. Erez Petrank. Key research areas encompass Combinatorial Optimization, Online Algorithms, Algorithmic Game Theory, Primal-Dual Methods, and Submodular Optimization, focusing on competitive analysis for problems like set cover, ad-auctions, and caching. Recent publications (2012-2015) reveal a concentrated effort in submodular optimization and online decision-making, with applications in advertising, resource allocation, and machine learning. These works consistently employ primal-dual frameworks to achieve strong competitive ratios in adversarial settings. Scientific recognition includes: Best Paper Award at ESA 2007 for “Online Primal-Dual Algorithms for Maximizing Ad-Auctions Revenue” Best Paper Award at FOCS 2011 for “A Polylogarithmic Competitive Algorithm for the k-Server Problem” No information is available regarding student advising or research grants. Similarly, details about laboratory facilities, research teams, or future projects are not provided in the source materials.