جست‌وجوی استاد و پژوهشگر

• Theoretical Computer Science
• Algorithm Design and Analysis
• Approximation Algorithms
• +۳ مورد دیگر

Michael Lampis is a Maître de conférences HDR (Assistant Professor) at LAMSADE , Universite Paris Dauphine. His research focuses on theoretical computer science , particularly in approximation algorithms , parameterized complexity , and graph algorithm design . He has held post-doctoral positions at Kyoto University and KTH, Stockholm, and earned his PhD from the Graduate Center of CUNY under Amotz Bar-Noy. Research Interests include: Structural Graph Parameters (treewidth, pathwidth, clique-width) Algorithmic Meta-Theorems Approximation Schemes Combinatorial Optimization Computational Complexity Recent Research Trends highlight his work on parameterized approximation algorithms for graph problems (e.g., feedback vertex set, matching) and complexity analysis of games/puzzles. His projects S-EX-AP-PE-AL (ANR JCJC), COAL-GAS (CNRS-PSL), and collaborations with Japanese institutions (PARAGA, GRAPA) emphasize cross-border innovation. Scientific Awards include: Best Student Paper Award at WG 2025 Best Paper Award at SOFSEM 2024 Advising involves PhD students Ioannis Katsikarelis, Louis Dublois, and Manolis Vasilakis, alongside Master's advisees like Edouard Nemery and Alban Guerbois. He actively participates in peer review for conferences (ICALP, ESA, STACS) and journals (Algorithmica, JCSS, DAM).

Marc Thilo Figgeمشاهده پروفایل

استاد

• Host-pathogen interaction of human pathogenic fungi
• Automated processing of microscopic images
• Spectroscopy data analysis
• +۷ مورد دیگر

Prof. Dr. Marc Thilo Figge serves as Professor (W3) for Applied Systems Biology at Friedrich Schiller University Jena and Head of the Applied Systems Biology Research Group at the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) since 2011. His career spans theoretical physics, computational biology, and infection research, with significant leadership roles in national research initiatives including NFDI4Bioimage, DFG Research Training Groups, and the Excellence Cluster 'Balance of the Microverse'. His research focuses on three interconnected pillars: Host-pathogen interactions of human pathogenic fungi Automated image analysis through the open-source JIPipe platform Spatiotemporal computer simulations of infection dynamics These areas combine experimental microbiology with computational modeling to address fundamental questions in infection biology. Analysis of his 2025 publications reveals strong interdisciplinary output spanning microbiology, computational biology, and biomedical engineering. His work demonstrates consistent methodological innovation in image analysis (particularly through JIPipe) and computational modeling of fungal infections, with increasing applications in rapid diagnostics and organ-on-chip technologies. The publications show growing international collaboration and methodological transfer between fungal pathogenesis and broader infection biology contexts. His scientific recognition includes: medac Research Award (2023 and 2024) Adjunct Fellowship at Frankfurt Institute for Advanced Studies (2011-2017) Editorial roles at PLOS Complex Systems, Biological Imaging, and Scientific Reports Prof. Figge maintains an active supervision program with approximately 14 students across multiple graduate schools, supported by substantial funding from DFG, BMBF, and Leibniz Association initiatives. His group participates in the International Leibniz Research School and Jena School for Microbial Communication, with strong connections to the Microverse Imaging Center's advanced microscopy facilities. He regularly organizes the biennial international symposia on Image-based Systems Biology (IbSB) and Systems Biology of Microbial Infection (SBMI), fostering global collaboration in the field. The Applied Systems Biology group operates at the intersection of physics, computer science, and infection biology, developing computational tools that have gained international adoption in bioimage analysis. Current projects emphasize translation of fundamental research into diagnostic applications, particularly through microfluidics and organ-on-chip technologies.

Frank Westerhoffمشاهده پروفایل

استاد

• Economic Policy
• Financial Markets
• Macroeconomics
• +۴ مورد دیگر

Frank Westerhoff is Professor of Economics and holds the Chair of Economic Policy at the University of Bamberg's Faculty of Social and Economic Sciences. His office is located in the Department of Economics at Feldkirchenstrasse 21, 96045 Bamberg, Germany, with office hours on Wednesdays from 1:00-2:00 p.m. Dr. Westerhoff obtained his doctoral degree from the University of Osnabrück in 2002, followed by his habilitation in 2005. After a brief period at the University of Bonn, he joined the University of Bamberg in 2006 where he has held his current position since. Professor Westerhoff specializes in developing, calibrating and estimating small-scale behavioral agent-based models to investigate financial market dynamics and macroeconomic phenomena. His research particularly focuses on how policy measures such as transaction taxes, central bank interventions, and monetary and fiscal policy rules affect economic systems. His work bridges mathematical economics, behavioral finance, and complex systems theory to understand the nonlinear dynamics that characterize real-world financial markets. His recent publications (2023-2025) demonstrate a continued focus on nonlinear dynamics in financial markets, with particular emphasis on piecewise linear discontinuous maps, quasiperiodic attractors, and the application of these mathematical concepts to agent-based economic modeling. His research shows how seemingly simple nonlinear mechanisms can generate complex market behaviors that match empirical observations. Professor Westerhoff has served on the editorial boards of the prestigious Journal of Economic Behavior and Organization and the Journal of Economic Dynamics and Control , contributing to the advancement of research in his field. With approximately 75 publications across 40 international journals and collaborations with about 20 different co-authors, Professor Westerhoff maintains an active research program. His work often involves interdisciplinary collaboration with mathematicians and physicists to apply advanced dynamical systems techniques to economic questions.

Oleg Davydovمشاهده پروفایل

استاد

• Meshless Finite Difference Method
• Finite Element Method
• Scattered Data Fitting
• +۴ مورد دیگر

Professor Oleg Davydov holds a Professorship for Numerical Analysis at the Department of Mathematics, University of Giessen, Germany. His research focuses on developing advanced numerical methods with strong theoretical foundations and practical applications. He maintains an active research program with numerous recent publications and international collaborations. Position: Professor of Numerical Analysis Institution: University of Giessen, Department of Mathematics Contact: Heinrich-Buff-Ring 44, 35392 Giessen, HRZ Room 117 Email: oleg.davydov@math.uni-giessen.de Homepage: https://oleg-davydov.de/ Professor Davydov's research interests center around meshless numerical methods, approximation theory, and computational mathematics. His primary focus areas include: Meshless Finite Difference Method - Developing robust meshless techniques that avoid the need for structured grids Finite Element Method - Particularly Bernstein-Bézier finite elements and specialized approaches for complex geometries Scattered Data Fitting - Creating efficient algorithms for approximating data on irregular domains Approximation Theory - Investigating theoretical properties of splines, radial basis functions, and other approximation tools His research has resulted in several software packages including mFDlab (Meshless Finite Difference Method), BBFEM (Bernstein-Bézier Finite Elements), and TSFIT (Two-Stage Scattered Data Fitting), demonstrating the practical implementation of his theoretical work. Analysis of Professor Davydov's recent publications shows a consistent focus on improving meshless methods, particularly in stencil selection, error analysis, and applications to complex problems. His work spans both theoretical developments (like error bounds and optimal approximation orders) and practical implementations (for fluid dynamics, manifold learning, and interface problems). A notable trend is the increasing sophistication of adaptive techniques and the handling of challenging geometries. Professor Davydov has supervised several doctoral students to completion, including: Gaelle Andriamaro Fabien Rabarison Abid Saeed Wee Ping Yeo His research group appears to maintain active collaborations with institutions worldwide, as evidenced by his extensive co-authorship network. The group focuses on developing both theoretical foundations and practical implementations of numerical methods, with particular attention to problems involving irregular domains, singularities, and complex geometries. Students in his group would gain experience in both theoretical analysis and software development for numerical methods.

Yang Liمشاهده پروفایل

دانشیار

• Statistical Machine Learning
• Bayesian Nonparametrics
• Scalable Optimization
• +۵ مورد دیگر

Yang Li serves as Associate Professor of Marketing and Associate Dean for the MBA Program at Cheung Kong Graduate School of Business (CKGSB). Holding a PhD in Marketing from Columbia Business School alongside dual master's and bachelor's degrees from Columbia and Peking University respectively, he bridges advanced statistical methodologies with practical business applications. His research centers on statistical machine learning and Bayesian nonparametrics applied to consumer behavior analysis, with specialization in online personalization, text mining, and choice modeling. Recent work demonstrates significant focus on fragmented attention economies, ethical AI frameworks, and NFT network dynamics, reflecting contemporary digital market challenges. Management Science Marketing Science Journal of Marketing Research Journal of Consumer Research Harvard Business Review Professor Li's publications reveal evolving expertise from foundational pricing elasticity studies toward cutting-edge AI applications in consumer contexts. His work increasingly integrates generative models and graph neural networks to decode complex consumer collection behaviors and digital ecosystem dynamics. Scientific recognition includes being a Finalist for the 2021 Paul E. Green Best Paper Award. Industry impact is demonstrated through executive education programs and strategic consultancies with Tencent, Haier, and Tmall. As Associate Dean for MBA Programs, he oversees curriculum development while maintaining active corporate governance roles on boards of publicly traded companies across China and Hong Kong, directly applying his research insights to strategic decision-making in digital transformation initiatives.

• Corporate sustainability
• Sustainable investing
• Organizational theory
• +۵ مورد دیگر

Dr. Emilio Marti is an Associate Professor in the Department of Business-Society Management at Rotterdam School of Management (RSM), Erasmus University Rotterdam. He joined RSM in April 2018 after completing postdoctoral positions at Saïd Business School, University of Oxford, and Bayes Business School, City, University of London. He earned his PhD from the University of Zurich in 2015. As an organizational theorist, Dr. Marti specializes in corporate sustainability with particular focus on sustainable investing and its impact on corporate sustainability practices. His research program examines the complex relationship between shareholder activism and corporate sustainability, investigating both the potentially positive role of shareholder engagement and the potentially negative role of activist hedge funds in business sustainability. His work bridges theoretical organizational theory with practical sustainability challenges facing businesses today. Dr. Marti's scholarly work has been published in premier management journals including Academy of Management Journal, Academy of Management Review, Journal of Management Studies, and Organization Science. His publications span from 2016 to 2025, with significant impact as evidenced by high citation counts and extensive media coverage across 27+ news outlets including Harvard Business Review and The Telegraph. ERIM Award for 'Outstanding Performance by a Young Researcher' (2018) At RSM, Dr. Marti teaches in a master's program dedicated to business sustainability with approximately 140 students annually. He teaches courses including Sustainable Investing and Inner Development Goal Weeks. Beyond his university position, he serves in an advisory capacity for Rezonanz, a startup based in Zurich. Dr. Marti strongly identifies with RSM's mission to be a force for positive change and finds it motivating to teach students who go on to become sustainability consultants or take sustainability-related roles in leading companies.

Johannes Krebsمشاهده پروفایل

استاد

• Topological Data Analysis
• Persistent Homology
• Spatial Statistics
• +۳ مورد دیگر

Prof. Dr. Johannes Krebs holds the Chair of Mathematics - Statistics at the Faculty of Mathematics and Geography, Catholic University of Eichstätt-Ingolstadt since 2021. His academic service includes membership on the editorial board of Statistics , the tenure track board, examination committees for B.Sc. Mathematics and Data Science programs, and the faculty council. His research focuses on topological data analysis, persistent homology, and spatial statistics with applications in stochastic geometry. Funded by Deutsche Forschungsgemeinschaft (KR 4977/2-1 and KR 4977/1-1), his work bridges theoretical statistics with computational topology to develop novel methods for analyzing complex data structures. His methodological contributions span wavelet analysis, functional data, and bootstrap techniques for dependent data. Analysis of his recent publications reveals strong emphasis on topological inference (persistent homology, Betti numbers), spatial statistics, and wavelet methods across multiple high-impact journals including Bernoulli , Annals of Statistics , and Stochastic Processes and their Applications . His work demonstrates consistent innovation in applying topological concepts to statistical problems with theoretical guarantees. Academic service highlights include: Editorial Board Member, Statistics journal Member of Tenure Track Board Examination Committee for B.Sc. Mathematics & Data Science Faculty Council Member His research program is supported by significant DFG funding for projects on Topological Data Analysis (2021-2023) and Dynamic Objects on Random Fields (2017-2020), reflecting sustained contribution to advancing statistical methodology through topological frameworks. He maintains active collaborations with researchers at UC Davis, KU Leuven, and Heidelberg University.

Johannes Deiglmayrمشاهده پروفایل

دانشیار

• Quantum Optics
• Atomic Physics
• Rydberg Atoms
• +۵ مورد دیگر

Prof. Dr. Johannes Deiglmayr serves as Associate Professor and head of the Quantum Optics Department at the Felix Bloch Institute of the University of Leipzig, a position he has held since April 2019. Appointed as Außerplanmäßiger Professor (Associate Professor) in November 2020, he leads cutting-edge research in quantum phenomena using ultracold atomic systems. His academic journey includes a PhD completed through a cotutelle program between Albert-Ludwigs Universität Freiburg and Université Paris-Sud (Orsay), followed by significant postdoctoral work at ETH Zürich (2011-2019) where he served as PostDoc and group leader. Deiglmayr's research focuses on long-range interactions between gas-phase atoms. His laboratory employs laser cooling techniques to reduce atomic gases to temperatures of mere microkelvin, then uses precisely controlled laser excitation to place atoms in highly excited Rydberg states. In these exotic states, atoms interact intensely with each other and their environment, particularly electric fields, enabling investigations into unconventional molecular binding mechanisms and complex many-body dynamics in non-equilibrium systems. His work bridges fundamental quantum physics with applications in quantum simulation and precision measurement technologies. His teaching portfolio features Experimental Physics 4 (Molecules, Particles and Nuclei) since Summer 2020, covering molecular physics concepts including chemical bonding theory, adiabatic approximation, molecular orbital theory, and various spectroscopy techniques. He also instructs Experimental Physics 5 and 6 for teacher training programs, the Quantum Matter module (since Winter 2019) exploring modern atomic physics experiments, and the Advanced Seminar in Quantum Optics (since Winter 2020) which delves into quantum cryptography, quantum teleportation, cavity quantum electrodynamics, and other frontier topics in quantum information science. DFG Schwerpunktprogramm GiRYD research network participant Supervised numerous bachelor theses, master projects, and internships Research exploring giant two-atom molecules comparable in size to bacteria Deiglmayr's group maintains active collaborations and participates in significant research networks focused on advancing our understanding of quantum phenomena in highly excited atomic systems and their technological applications.

Christian Bayerمشاهده پروفایل

استاد

• Macroeconomics of heterogeneous agents
• Fiscal friction
• Monetary policy
• +۵ مورد دیگر

Professor Christian Bayer is a Professor of Economics at the University of Bonn, where he has been a full professor since 2008. He is affiliated with the Department of Economics and the Institute for Macroeconomics and Econometrics. His research focuses on macroeconomics of heterogeneous agents, fiscal friction, and monetary and fiscal policy. PhD from the University of Dortmund in 2004 Positions at EUI and Bocconi before joining University of Bonn Member of the Academic Advisory Board of the German Federal Ministry of Economics and Technology Visiting professor at the German Federal Ministry of Finance Member of the German Gas Crisis Commission in 2022 Professor Bayer's research primarily centers on the macroeconomics of heterogeneous agents, examining both firms and households. His work investigates how financial frictions, fiscal policy, and monetary policy affect macroeconomic outcomes and inequality. He has made significant contributions to the development of heterogeneous agent new Keynesian (HANK) models, which have become influential in modern macroeconomic analysis. His recent work has focused on the economic implications of energy shocks, particularly related to Russia's invasion of Ukraine and the resulting energy crisis in Germany. He has also conducted important research on the distributional effects of fiscal policy, the impact of pandemics on consumption patterns, and the convergence dynamics between East and West Germany. Hermann-Heinrich Gossen Prize of the Verein für Sozialpolitik (2022) ERC Advanced Grant (2017) ERC Starting Grant (2012) Professor Bayer has published in leading economics journals including Econometrica and American Economic Review. He is actively involved in policy discussions, frequently contributing op-eds to major German newspapers like FAZ and serving on important policy advisory bodies. He is a member of the ECONtribute: Markets & Public Policy cluster of excellence at the University of Bonn and co-hosts a popular economics podcast called "WRINT: Wirtschaftskunde" where he discusses current economic issues with colleagues.

• Quantum Information
• Quantum Computing
• Many-body Physics
• +۵ مورد دیگر

Dr. Rahul Trivedi is a tenured Research Group Leader in the Theory Division at the Max Planck Institute of Quantum Optics in Garching, Germany. His research focuses on theoretical quantum information and quantum science, particularly addressing challenges in noisy quantum systems and simulators. Dr. Trivedi received his undergraduate degree in Electrical Engineering from the Indian Institute of Technology Delhi, followed by MS and PhD in Electrical Engineering from Stanford University (2021). After a postdoctoral fellowship at the Max Planck Harvard Research Center for Quantum Optics, he served as an Assistant Professor of Electrical and Computer Engineering at the University of Washington before returning to MPQ as a tenured researcher in 2024. His research program spans multiple areas at the intersection of quantum information theory, many-body physics, and quantum device engineering. Key research directions include: Theory of open quantum systems and non-Markovian dynamics Quantum simulation with noisy intermediate-scale quantum (NISQ) devices Quantum error correction and fault tolerance Quantum optics theory with applications to quantum simulation and metrology Dr. Trivedi has secured significant research funding including an ERC Starting Grant for his ToNQS project (Theory of Noisy Quantum Simulation of Many-body Physics), as well as previous awards from the National Science Foundation and Department of Energy in the United States. His scientific awards and recognitions include: ERC Starting Grant: ToNQS - Theory of Noisy Quantum Simulation of Many-body Physics National Science Foundation (NSF) research funding Department of Energy (DOE) research funding Dr. Trivedi currently leads a research group consisting of three PhD students, one Master's student, and several co-advised students. His group maintains extensive collaborations with partners both within Europe and the US. With the ERC grant, additional positions for PhD students and postdoctoral researchers are becoming available. The Theory of Open Systems research group is housed in the Theory Division at the Max Planck Institute of Quantum Optics. The group actively collaborates with experimental teams to bridge theoretical frameworks with practical quantum device implementations, particularly focusing on how noise affects quantum simulation capabilities.