جست‌وجوی استاد و پژوهشگر

• Mathematics
• Functional Analysis
• Orlicz Spaces
• +۳ مورد دیگر

Professor Ryszard Płuciennik is a distinguished academic at Poznań University of Technology, holding a position in the Institute of Mathematics within the Faculty of Automatic Control, Robotics and Electrical Engineering. With a career spanning several decades, he has established himself as a leading researcher in functional analysis, particularly in the geometric properties of Banach spaces and Orlicz spaces. His research interests focus on geometric properties of function spaces , including λ-properties, monotonicity properties, Kadec-Klee properties, and von Neumann-Jordan constants. Professor Płuciennik's work bridges theoretical mathematics with applications in computer science, as reflected in his dual disciplinary classification (50% Mathematics, 50% Computer Science). His recent publications demonstrate continued scholarly activity, with significant contributions appearing in journals such as Journal of Convex Analysis and Banach Journal of Mathematical Analysis through 2022. These works analyze the geometric structure of various function spaces, contributing to fundamental understanding in mathematical analysis. Professor Płuciennik has supervised multiple doctoral students to completion and has served as a reviewer for numerous doctoral dissertations. His academic career includes authoring a doctoral dissertation on integral operators in generalized Orlicz spaces completed in 1982 under Julian Musielak's supervision. His scholarly output includes 16 scientific articles and a research report titled 'Functional spaces and their applications' (2021), demonstrating sustained research productivity throughout his career.

Sebastian Maehrleinمشاهده پروفایل

استادیار

• Terahertz Spectroscopy
• Ultrafast Structural Dynamics
• Lattice Dynamics
• +۴ مورد دیگر

Sebastian Maehrlein is a Group Leader heading the THz Structural Dynamics research group within the Department of Physical Chemistry at the Fritz Haber Institute of the Max Planck Society in Berlin. Since June 2020, he has led this independent research group, which received a prestigious six-year Emmy Noether grant from the German Research Foundation (DFG) in July 2022. His research group consists of five PhD students, three postdoctoral researchers, and maintains active collaborations with institutions in France, the Netherlands, and the United States. Maehrlein's research focuses on understanding and controlling structural dynamics in materials using intense terahertz and mid-infrared laser pulses. His group investigates how spatial arrangements of atoms can be modulated on ultrafast time scales to control material properties and potentially discover new material features. Key research areas include lattice trajectory control, dynamically disordered systems, molecular rotations in solids, nonlinear phononics, and lattice-driven phenomena. The group particularly studies phonon anharmonicities, molecular orientations in solids, and dynamically disordered systems, with significant work on lead halide perovskites and 2D materials. The group's recent publications demonstrate a strong focus on coherent control of lattice dynamics, with numerous papers in high-impact journals including Nature Physics, Science Advances, and Advanced Materials. Their research shows a clear trend toward understanding angular momentum transfer in crystal lattices, symmetry breaking in hybrid materials, and developing novel techniques for THz spectroscopy and control. The work has significant implications for optoelectronics, quantum materials, and ultrafast control of material properties. Scientific Awards: Emmy Noether grant from German Research Foundation (DFG) Prof. Maehrlein actively supervises multiple PhD students and postdoctoral researchers, with a track record of successful student outcomes including Marie Cherasse's PhD graduation in December 2022 and her subsequent receipt of the French L'Oréal UNESCO Award for Women in Science. His group participates in the ANR-DFG research consortium '2D-HYPE' and the Max Planck-Radboud Center for IR-FEL spectroscopy, securing substantial external funding for their research. The THz Structural Dynamics group maintains strong international collaborations, particularly with research groups in France, the Netherlands, and the United States. The THz Structural Dynamics group operates state-of-the-art laboratories for generating highly intense and phase-stable laser pulses in the THz and mid-infrared spectral range. Their facilities enable coherent driving of specific structural dynamics on fundamental time and energy scales, allowing exploration of tailored lattice trajectories that may steer solids into hidden states. The group has made significant contributions to understanding nonlinear phononics and developing novel spectroscopic techniques for studying ultrafast structural dynamics.

• Control Theory
• Model Predictive Control
• Data-Driven Control
• +۵ مورد دیگر

Frank Allgöwer is a Professor and Head of the Institute for Systems Theory and Control Engineering at the University of Stuttgart's Faculty of Engineering. With an extensive publication record through 2025, he leads a prominent research group specializing in advanced control theory methodologies. His research interests span multiple domains of modern control theory, with particular emphasis on Model Predictive Control (MPC), data-driven control approaches, nonlinear systems analysis, and event-triggered control strategies. His work bridges theoretical foundations with practical implementations, focusing on stability guarantees, performance optimization, and computational efficiency. Recent research shows a strong focus on Koopman operator theory applications to control systems, distributed multi-agent coordination, and the integration of machine learning techniques with traditional control frameworks. Analysis of his 15 most recent publications reveals a consistent research trajectory centered around developing theoretically sound control methodologies with practical applicability. His work demonstrates increasing integration of data-driven approaches with traditional model-based control, particularly in the areas of nonlinear system control and distributed multi-agent systems. The publications span top-tier control journals including IEEE Transactions on Automatic Control, Automatica, and IEEE Control Systems Letters. Professor Allgöwer actively mentors numerous junior researchers, with frequent collaborations suggesting a strong supervisory role for PhD students and postdoctoral researchers. His group maintains productive international collaborations while being firmly rooted at the University of Stuttgart.

Robin Strässerمشاهده پروفایل

پژوهشگر

• Data-based Control
• Koopman Operator Applications
• Nonlinear Systems Control
• +۳ مورد دیگر

Robin Strässer is a Research Associate at the Institute for Systems Theory and Control Engineering at the University of Stuttgart, where he has been working since October 2020. His research focuses on data-based control methods, particularly using the Koopman operator to derive closed-loop control guarantees for nonlinear systems based on measured data. He is also actively involved in developing an autonomous e-scooter project aimed at reducing the university's CO2 emissions and promoting sustainable urban mobility. His research interests span across data-driven control theory, nonlinear systems analysis, and autonomous vehicle systems. Strässer has made significant contributions to the application of Koopman operator theory in control systems, developing methods that provide stability guarantees for nonlinear systems. His work bridges theoretical control concepts with practical applications in sustainable transportation. He has also explored novel applications of control theory in unexpected domains, such as the analysis of cryptosystems using Koopman operator methods. Analysis of his publications reveals a strong focus on the Koopman operator framework for data-driven control, with particular emphasis on stability guarantees and error bounds. His work demonstrates a progression from theoretical foundations to practical implementations, especially in autonomous vehicle systems. The research shows increasing interdisciplinary connections, linking control theory with sustainable transportation, chemical engineering, and even cryptography. Among his notable achievements are the Best Paper Award at the European Robotics Forum (ERF2025) and the Best Poster Award at the International Conference on Data-Integrated Simulation Science (SimTech2023). Strässer has been actively involved in teaching, having organized and supervised practical courses in control engineering and taught courses on system dynamics fundamentals and data-driven control. He has also completed a research stay at EPFL's Data-Driven Modelling and Control Group, further expanding his expertise in data-driven control methods. His current work includes leading the autonomous e-scooter project at the University of Stuttgart, which serves as both a research platform for advanced control algorithms and a practical solution for sustainable campus transportation.

• Stochastic Control Theory
• Artificial Intelligence for Optimization
• Power Systems Engineering
• +۳ مورد دیگر

Magnus Perninge is an Associate Professor in Electrical Engineering at Linnaeus University (LNU), Sweden. He previously completed his undergraduate and PhD studies at KTH Royal Institute of Technology and held postdoctoral/researcher positions at Lund University. His teaching includes courses in Automatic Control (basic and advanced), Electric Power Systems , and Electrical Machines . He supervises Alexander Marcial , a doctoral student in Mathematics. Current Affiliation: Linnaeus University (School of Engineering & Faculty of Technology) Past Affiliations: KTH Royal Institute of Technology, Lund University Research Interests: Magnus specializes in the optimal control of stochastic systems with applications in electrical energy systems . He integrates artificial intelligence and machine learning to solve large-scale optimization problems in power systems, aiming to enhance efficiency and sustainability. His work bridges stochastic analysis , operations research , and renewable energy integration . Research Projects: Efficient Hydropower Planning : Optimizing Sweden's hydropower for future intermittent energy scenarios Sustainable Energy & Food Production : Enhancing rural farm energy systems Smart Electrification : Supporting SMEs in Kronoberg and Kalmar regions Research Groups: AI and Machine Learning for Optimization and Operations Research Stochastic Analysis and Stochastic Processes Waves, Signals and Systems

Özlem Imamogluمشاهده پروفایل

استاد مدعو

• Number Theory
• Modular Forms
• Mock Modular Forms
• +۵ مورد دیگر

Özlem Imamoglu is an Adjunct Professor in the Department of Mathematics at ETH Zurich, a position she has held since 2005. Her academic journey includes prior appointments as Assistant Professor at ETH Zurich (2002-2005), Associate Professor at UC Santa Barbara (2003-2004), and Visiting Professor at Sabanci University (2000-2001). She teaches core undergraduate courses including Complex Analysis and Algebra II, with upcoming instruction scheduled through 2025. Her educational background features a B.S. in Electrical Engineering from Middle East Technical University (1987), followed by M.Sc. and Ph.D. in Mathematics from UC Santa Cruz (1992). Ph.D. Mathematics, UC Santa Cruz (1992) M.Sc. Mathematics, UC Santa Cruz B.S. Electrical Engineering, Middle East Technical University (1987) Professor Imamoglu's research centers on number theory with emphasis on modular forms , mock modular forms , and cycle integrals . She investigates connections between automorphic forms and geometric invariants, particularly through special values of modular functions on hyperbolic spaces and applications to real quadratic fields. Her work bridges analytic and algebraic number theory, often revealing deep relationships between L-functions and dynamical systems like Lyapunov exponents. Analysis of her 15 most recent publications reveals intensifying focus on hyperbolic 3-space geometry and modular function dynamics since 2018, with 6 publications in 2024 alone exploring twisted traces, Lyapunov exponents, and Kaneko's conjectures. Her research maintains strong connections to classical number theory through Hurwitz's method while incorporating modern geometric perspectives. As an active participant in the ETH Number Theory Seminar and co-organizer of the triannual Number Theory Days conference (EPFL/ETH/UniBasel), she provides students with collaborative research opportunities. Her international co-authorship network—including researchers from UCLA, Eötvös Loránd University, and University of Luxembourg—facilitates global academic exchange despite no formal lab structure. Professor Imamoglu remains a vital contributor to ETH Zurich's mathematics community through both her sustained research output and commitment to undergraduate education, with courses scheduled through 2025 demonstrating ongoing academic engagement.

• Analytic Number Theory
• Modular Forms
• Theta Functions
• +۴ مورد دیگر

Bruce C. Berndt is the Michio Suzuki Distinguished Research Professor of Mathematics at the University of Illinois at Urbana-Champaign, where he has served since 1967. His affiliations include visiting scholarshi­ps at the Institute for Advanced Study (1973-74) and a foundational role in editing Ramanujan's Notebooks. Berndt's research focuses on analytic number theory, particularly Ramanujan's work on theta functions, modular forms, and q-series. His investigations span partition theory, continued fractions, elliptic functions, and combinatorial identities, often leveraging Ramanujan's unpublished manuscripts to derive new mathematical insights. Recent publications emphasize mock theta functions, Bessel series, and identities in q-series. Berndt's scholarly contributions have been recognized with prestigious awards, including: Steele Prize for Mathematical Exposition (1996) Lester R. Ford Award (1989, 1994) Fellowship in the American Mathematical Society (2012) Honorary doctorate from SASTRA University (2012)

• Number Theory
• Uniform Distribution Theory
• Discrepancy Theory
• +۳ مورد دیگر

Christoph Baxa is an Associate Professor in the Department of Mathematics at the University of Vienna, where he has been a faculty member since 2000. His academic career at the University of Vienna began in 1990 as an Assistant Professor in the Department of Statistics, then moved to the Department of Mathematics in 1992, where he was promoted to Associate Professor in 2000. He maintains an active research profile and teaching load, with courses scheduled through 2025. Dr. Baxa completed his academic training at the University of Vienna, earning his M.A. in 1990 with a thesis on prime representing functions and Hilbert's Tenth Problem, his Ph.D. in 1994 on the discrepancy of sequences (nα), and his Habilitation in 2000 on estimates for discrepancies of special uniformly distributed sequences. His research focuses on Number Theory, particularly Uniform Distribution Theory, Discrepancy Theory, Continued Fractions, and Diophantine Approximation. His work often connects number theory with mathematical logic, as evidenced by his early research on Diophantine representations. His recent scholarly activity is dominated by book reviews for Monatsh. Math., covering diverse areas including algebraic geometry, number theory, history of mathematics, and mathematical education. Dr. Baxa has received several prestigious awards including the Ph.D. sub auspiciis Praesidentis rei publicae, the Würdigungspreis from the Austrian Ministry of Science and Research, the Jubiläums-Studienpreis from the Austrian Mathematical Society, and the Edmund und Rosa Hlawka Preis from the Austrian Academy of Sciences. He has held research grants from the Austrian Science Fund and was an Erwin Schrödinger Fellow at the University of Colorado at Boulder from 2001-2003. As a professional service, he has been a regular reviewer for Mathematical Reviews since 1996 and reviews books for Monatsh. Math. He is a member of numerous mathematical societies including the AMS, DMV, EMS, LMS, ÖMG, and SMF.

Mengxiao Zhangمشاهده پروفایل

استادیار

• Online learning and bandits
• Reinforcement learning
• Game theory
• +۳ مورد دیگر

Mengxiao Zhang is an Assistant Professor in the Department of Business Analytics at the Tippie College of Business, University of Iowa, holding this position since August 2024. His research develops theoretically grounded machine learning algorithms for practical business applications, with expertise spanning online learning, bandit problems, and game-theoretic optimization. His academic foundation includes: Ph.D. in Computer Science from the University of Southern California (2018-2024), advised by Prof. Haipeng Luo Bachelor's degree from Peking University (2014-2018), advised by Prof. Liwei Wang Zhang's research bridges theoretical machine learning with operational business challenges, focusing on adaptive algorithms that maintain performance guarantees in non-stationary environments. His work addresses core problems in regret minimization, efficient exploration, and equilibrium computation, with increasing emphasis on supply chain optimization, auction design, and fair multi-agent systems. He designs methods that function effectively under constraints like delayed feedback, budget limitations, and unknown demand distributions. Analysis of his 15 most recent publications (2022-2025) reveals a consistent trajectory toward business-relevant applications while maintaining theoretical rigor. Key trends include contextual bandit extensions for advertising auctions, supply chain optimization under uncertainty, and fairness-aware multi-agent learning. His contributions appear in top-tier venues including COLT, ICML, and NeurIPS, with notable recognition including a NeurIPS 2020 Oral presentation. No scientific awards are documented in the provided materials. Zhang teaches Database Management (BAIS-3200) at the University of Iowa and previously served as teaching assistant for multiple graduate algorithms and machine learning courses at USC. No information regarding research grants or student advising is available in the source materials. No dedicated laboratory or research team structure is specified in the provided information.

• Composition
• Graphic Arts
• Painting
• +۳ مورد دیگر

Dr. hab. Danuta Wieczorek serves as Professor at the Institute of New Media and Composition within the Faculty of Fine Arts at the Academy of Fine Arts in Łódź. She leads Composition Studio 1, a mandatory course for graphic arts and painting students, operating from rooms CPM 01/33, CPM 03/14, and CPM 03/17. Her expertise centers on foundational composition methodologies spanning plane composition (semesters 1-2), spatial arrangements (semester 3), and time-based works (semester 4). The studio's five-decade pedagogical approach emphasizes formal problem-solving, training students to synthesize discrete elements into cohesive visual structures where the artistic whole exceeds the sum of its parts. As head of Composition Studio 1, Professor Wieczorek oversees a curriculum proven effective through continuous refinement since the studio's establishment. She collaborates with assistant professors Joanna Paljocha and Magdalena Kacperska within the institute's broader ecosystem, which includes specialized workshops in Creative Coding, Digital Media, Videomapping, and Augmented Reality.

Tobias Mengمشاهده پروفایل

پژوهشگر

• Quantum Materials
• Topological Physics
• Condensed Matter Theory
• +۵ مورد دیگر

Dr. Tobias Meng is a prominent theoretical solid-state physicist at the Technical University Dresden (TU Dresden), where he leads the Emmy Noether Junior Research Group 'Quantum Design' since 2017. His research group examines the physics of interacting electrons in quantum materials and is part of the Collaborative Research Center CRC 1143 and the Würzburg-Dresden Cluster of Excellence ct.qmat. Funded by the Emmy Noether programme of the Deutschen Forschungsgemeinschaft, his work has earned him Germany's most prestigious award for early career scientists, the Heinz Maier-Leibnitz Prize 2022. Dr. Meng's research focuses on the fundamental properties of quantum materials across various scales, from nanostructures to macroscopic materials. His work explores how electrons organize themselves collectively to produce 'emergent behavior' - phenomena where the whole system exhibits properties greater than the sum of its individual components. His research spans topological physics, superconductivity, quantum criticality, and transport phenomena in quantum materials. Analysis of his publications reveals a strong focus on topological materials and quantum anomalies, with significant contributions to understanding the behavior of electrons in Weyl semimetals, heavy-fermion systems, and topological insulators. His research combines theoretical approaches with experimental collaborations to uncover fundamental quantum phenomena that could enable future quantum technologies. Heinz Maier-Leibnitz Prize 2022 TUD Young Investigator 2017 Dr. Meng actively mentors several PhD students including Toni Ehmcke, Konstantinos Ladovrechis, and Chen Xu, continuing a strong tradition of academic supervision. His research is supported by the Emmy Noether programme and collaborations within the ct.qmat Cluster of Excellence. The Quantum Design group maintains active collaborations with multiple research groups including Hicks, Mackenzie, Molenkamp, Felser, King, and others across various quantum research domains. The Quantum Design group operates within the vibrant quantum research ecosystem at TU Dresden, contributing to Germany's leadership in quantum materials research. Their work bridges theoretical predictions with experimental verification, often involving international collaborations across Europe and beyond.