جستجوی استاد راهنمای دانشگاهی

Michał Karoński is a Professor of Mathematics at the Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznań, Poland, and serves as head of the Department of Discrete Mathematics. He has held visiting professorships at Emory University, The Johns Hopkins University, Purdue University, and Southern Methodist University since 1975, with ongoing engagements at Emory University since 1992. Research Focus: Discrete mathematics, random discrete structures, graph theory, and theoretical computer science. Leadership Roles: Editor-in-Chief of Random Structures & Algorithms (since 1990), Chairman of the Council of National Science Centre (2010–2016), and organizer of 17 bi-annual conferences on random structures. His research group in random structures gained international recognition in the 1970s. He has authored 60 publications, delivered over 30 plenary lectures, and collaborated globally at institutions like Microsoft Research, Bellcore, and BRICS. Scientific Awards: 2016 Medal 'Homini Vere Academico' (AMU Rector) 2013 Polonia Restituta Officer Cross (President of Poland) 1990 Minister of Science and Higher Education Prize His work spans probabilistic combinatorics, algorithm theory, and graph irregularity, with influential publications on stochastic Kronecker graphs, random intersection graphs, and distributed complexity in matchings.

• Random discrete structures
• Probabilistic combinatorics
• Graph theory
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Michael Krivelevich is a Full Professor at the School of Mathematical Sciences, Tel Aviv University, holding this position since 2005. He previously served as Associate Professor (2002-2005) and Senior Lecturer (1999-2002) at the same institution. From 2015 to 2020, he acted as Dean of the Faculty of Exact Sciences at Tel Aviv University. Research Interests: Probabilistic and extremal combinatorics Random structures Applications of combinatorics to computer science Scientific Contributions: Authored two books: Positional Games (2014) and Random Graphs, Geometry and Asymptotic Structure (2016) Published over 200 research papers in combinatorics and related fields Editor-in-Chief of the Journal of Combinatorial Theory Series B (JCTB) Recognitions: Clay Lecturer (2019) Fellow of the American Mathematical Society (2017) Invited Speaker at ICM (2014) Pazy Memorial Award (2007) Academic Leadership: Dean of Faculty of Exact Sciences (2015-2020) Supervised 9 PhD and 16 MSc students at Tel Aviv University

• Probabilistic Combinatorics
• Extremal Combinatorics
• Random Structures
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Marek Kuś is a Full Professor at the Center for Theoretical Physics, Polish Academy of Sciences (PAS) in Warsaw, where he has held this position since 1995. He previously served as Full Professor at Cardinal Stefan Wyszyński University (2001-2012) and Director of the Center for Theoretical Physics, PAS (2003-2006). His international collaborations include visiting professorships in Germany, France, and the USA. Education: M.Sc. in Physics, Warsaw University (1979) Ph.D. in Physics, Warsaw University (1983) D.Sc. (Habilitation), Warsaw University (1988) Professor title conferred in 1995 His research spans quantum chaos, quantum information theory, and mathematical physics, with specialized interests in nonlinear phenomena, geometric methods, and quantum entanglement. Recent publications (2011-2015) focus on quantum correlations, entanglement detection frameworks, and symplectic geometry applications to quantum systems, reflecting sustained work in foundational quantum theory and complex systems. Scientific Awards and Leadership: Humboldt Fellowship (1987) President, Polish Society for Advancement of Arts and Sciences (2003-2005) Chairman, Scientific Council of National Center for Quantum Information (since 2008) Member, ERC Advanced Grants evaluation panel (2014) Editorial board member for International Journal of Quantum Information

• Quantum chaos
• Quantum information theory
• Mathematical physics
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Nikolay Konstantinovich Vereshchagin is a Professor at Lomonosov Moscow State University's Faculty of Mechanics and Mathematics. He also holds affiliations with the Poncelet Lab (since 2005), Yandex School of Data Analysis (since 2007), and Higher School of Economics (since 2013). Education: Moscow State University (Faculty of Mechanics and Mathematics) Degrees: Ph.D. (1987), Doctor of Physical and Mathematical Sciences (1996), Full Professor (1997) His research focuses on computational complexity, Kolmogorov complexity, Shannon entropy, and tiling problems. His work connects algorithmic information theory with machine learning, cryptography, and theoretical computer science. Publications demonstrate expertise in algorithmic statistics, oracle complexity, and randomness foundations, with collaborations in theoretical computer science journals and conferences like CiE (Computability in Europe).

• Computational Complexity
• Kolmogorov Complexity
• Shannon Entropy
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Joachim Hermisson is a Professor of Mathematics and Biology at the University of Vienna, where he leads the Mathematics and Biosciences Group (MaBS). He is a principal investigator in the SFB Polygenic Adaptation and the founder of the evolVienna network, fostering collaboration in evolutionary biology across Vienna. His academic journey spans physics, philosophy, and evolutionary theory, reflecting a deeply interdisciplinary approach. Education: PhD in Theoretical Physics, University of Tübingen (1999); Habilitation in Evolutionary Biology, LMU Munich (2006) Appointments: Professor at University of Vienna (since 2012); Vienna Science Chair (2007–2012); Emmy Noether Group Leader, LMU Munich (2002–2007) Joachim Hermisson’s research lies at the intersection of theoretical population genetics and mathematical biology. He develops models to understand adaptation, speciation, and the role of polygenic traits under natural selection. His work integrates molecular and phenotypic approaches, focusing on coalescent theory, epistasis, robustness, and evolvability. He is particularly interested in how complex genetic architectures evolve and influence evolutionary trajectories. His recent publications reflect a strong emphasis on polygenic adaptation beyond classical selective sweeps, hybridization, introgression, and the genomic signatures of selection. The articles span mathematical modeling, stochastic processes, and genomic data analysis, demonstrating a consistent focus on theoretical innovation with empirical relevance. Marcus W. Feldman Prize in Theoretical Population Biology (2018) WWTF Vienna Science Chair (2006) Emmy Noether Fellowships (DFG, 2000–2007) Graduate Program Award, VolkswagenStiftung (2006) Doctoral Prize, University of Tübingen (1999) Hermisson has advised numerous PhD and Master’s students, many of whom have gone on to independent research careers at institutions such as MPI Cologne, University of Edinburgh, and University of Vienna. He has secured major grants from FWF, DFG, EU Marie Curie, and ERC programs. He serves as Associate Editor for Genetics and Evolution , and has been a referee for leading journals and funding agencies including Nature, Science, PNAS, and the ERC. He leads the MaBS group, a vibrant research team focused on mathematical modeling in evolutionary biology. The group includes postdocs, PhD students, and collaborators working on polygenic adaptation, speciation, and eco-evolutionary dynamics. The lab participates in the SFB Polygenic Adaptation and the Vienna Graduate School for Population Genetics, contributing to a strong training environment for early-career scientists.

• Theoretical Population Genetics
• Mathematical Biology
• Molecular Evolution
• +۱۳ مورد دیگر

Ecaterina Sava-Huss is a Full Professor in Mathematics at the University of Innsbruck, Austria, affiliated with the Department of Mathematics within the Faculty of Mathematics, Computer Science and Physics. She holds a PhD from Graz University of Technology (2010) and a Habilitation in Mathematics (2019). Previously, she served as an associate professor and tenure-track assistant professor at the University of Innsbruck, and as an assistant professor and visiting scholar at institutions including TU Graz and Cornell University. Her research focuses on stochastic processes, particularly random walks and rotor walks on graphs, fractals, and aggregation models. Key interests include the interplay between structural properties of infinite state spaces and stochastic processes. She has organized conferences such as the Austrian Stochastics Days and is the outreach coordinator for the Institute of Mathematics, engaging in public science initiatives like the MIP Day and Girls' Day. Her funding includes an FWF Grant P34129 (2021–2025) on growth models and quasi-random walks, and a prior Erwin Schrödinger Fellowship (2015–2016). She has supervised numerous PhD and Master’s students, with research topics ranging from branching processes to quantum probability. Her work has been published in journals such as Advances in Applied Probability , Bernoulli , and Journal of Fractal Geometry .

• Stochastic Processes
• Probability Theory
• Random Walks
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Univ.-Prof. Rudolf Kerschbamer is a Professor in the Department of Economic Theory, Policy and History at the University of Innsbruck. His research focuses on experimental economics, behavioral economics, and credence goods markets. He investigates topics such as social preferences, market design, and institutional mechanisms using both theoretical and empirical approaches. Key research interests include analyzing expert services markets (credence goods), exploring how information asymmetry and uncertainty influence consumer and provider behavior, and studying reciprocity and distributional preferences in economic interactions. His work also examines policy implications of market structures and regulatory frameworks. Rudolf has published extensively on credence goods markets, demonstrating how factors like reputation, competition, and institutional design affect market efficiency and fraud prevention. His experimental studies highlight behavioral responses to random shocks, peer review biases, and the value of second opinions in reducing overprovision of services. He maintains an active research agenda with a focus on experimental economics, regularly contributing to journals and conferences. His work bridges theoretical economic models with real-world applications, particularly in understanding and mitigating market failures in expert-driven sectors.

• Experimental Economics
• Behavioral Economics
• Credence Goods Markets
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Albert Wabnegger (Mag. Dr. rer. nat.) is a researcher at the Institute of Psychology , Faculty of Natural Sciences , University of Graz in Austria. His work is anchored in clinical psychology and affective neuroscience, with a strong emphasis on neuroimaging approaches that illuminate the neural underpinnings of emotion, phobia, and impulse-control disorders. Research Interests Neurobiological bases of disgust processing and its maladaptive variants (e.g., dental phobia, skin-picking disorder) Functional and structural brain alterations in anxiety and impulse-control disorders Placebo and nocebo effects on emotional distress and motor performance Social cognition, conspiracy beliefs, and their neural correlates Sex-specific neural responses to personal-space intrusion and affective touch Publication Trends Across more than 40 peer-reviewed articles (2012-2025), Wabnegger’s research demonstrates a clear trajectory from basic affective neuroscience toward translational clinical applications. Early work mapped structural brain differences in phobia and disgust propensity using voxel-based morphometry. Subsequent studies integrated fMRI to explore amygdala, cerebellar, and prefrontal contributions to emotion regulation, placebo effects, and aberrant social cognition. Recent mega-analyses within the ENIGMA consortium extend these findings to large-scale, cross-disorder investigations of brain aging and morphological alterations in youth psychopathology. Collaborations & Networks Active member of the Brain and Behavior research network at the University of Graz Contributor to the ENIGMA Anxiety working group, participating in international mega-analyses Ongoing interdisciplinary projects with clinical partners, integrating neuroimaging and behavioral interventions Contact Institute of Psychology, University of Graz Universitätsplatz 2/III, 8010 Graz, Austria Phone: +43 (0)316 380-5131 Email: albert.wabnegger@uni-graz.at

• Clinical Psychology
• Neuroimaging
• Affective Neuroscience
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Günter Schneckenreither is a researcher affiliated with the Computational Statistics research area at Technische Universität Wien (TU Wien). His work spans interdisciplinary applications of computational methodologies to epidemiology, public health, and biomedical modeling, with a focus on agent-based simulations and cellular automata. Research Interests: Heterogeneity in disease transmission, age-dependent SIR models, synthetic data generation for pandemics, and fractional diffusion processes in structured populations. Publications: Recent research includes epidemiological modeling of SARS-CoV-2 immunization levels, melanocytic proliferation simulations, and comparative studies of epidemic modeling frameworks. Projects: Active participant in ARGESIM benchmark studies, integrating cellular automata and differential equations for epidemic simulations. Methodologies: Specializes in dynamic causal modeling, fractal topological structures, and multiplex social network analysis.

• Computational Statistics
• Epidemiological Modeling
• Agent-Based Simulation
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Felix Eckstein is a Professor at the Institute of Anatomy and Cell Biology, Paracelsus Medical University in Salzburg, Austria, leading the Research Program for Musculoskeletal Imaging. With over 770 publications spanning 30+ years, his work focuses on quantitative MRI techniques for osteoarthritis assessment, particularly knee cartilage morphometry and biomarker development for clinical trials. His research centers on osteoarthritis pathophysiology, magnetic resonance imaging innovation, cartilage/bone quantification, and sexual dimorphism in joint anatomy. Key interests include transverse relaxation time (T2) mapping, automated segmentation methods, biomechanical factors in disease progression, and validation of imaging endpoints for drug trials. His work bridges engineering precision with clinical rheumatology to establish imaging standards for osteoarthritis therapeutics. Recent publications (2024-2025) emphasize advanced MRI methodologies including fully automated cartilage analysis across vendors, laminar T2 mapping for early disease detection, and multi-component endpoints for virtual knee replacement. Critical themes involve sensitivity to longitudinal change, diabetes-comorbidity interactions, alignment effects on joint space width, and validation of biomarkers against clinical outcomes in cohorts like OAI and IMI-APPROACH. Scientific recognition includes: Forschungsgruppenpreis der Deutschen Akademie für osteologische und rheumatologische Wissenschaften für Leistungen in den Jahren 2012-2014 (2015) As Principal Investigator, he secured major grants including 'Childhood determinants of adulthood knee cartilage thickness' (2016-2017) and 'NanoDiaRA' for nanotechnology diagnostics in arthritis (2010-2014). His work drives international consortia standards through collaborations with Osteoarthritis Initiative and IMI-APPROACH. He directs the Musculoskeletal Imaging Program developing FDA/EMA-acceptable imaging protocols for osteoarthritis trials, and has organized pivotal conferences including the 109th Anatomical Society Meeting (2014), establishing frameworks for quantitative imaging in regulatory science.

• Osteoarthritis
• Magnetic Resonance Imaging
• Knee Osteoarthritis
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Maximilian Thiessen is a PhD student in machine learning at Technische Universität Wien , supervised by Thomas Gärtner. He is affiliated with the machine learning research unit and collaborates with the Laila lab in Milan. Research Interests : Learning with graphs Active learning frameworks Convexity theory in ML Computational learning theory Recent Research Trends include: (1) Expressive GNN architectures for outerplanar graphs (2025), (2) Generalized boosting theory through game frameworks (2024), (3) Efficient monophonic halfspace learning (2024), (4) Abstention mechanisms in contextual bandits (2024), (5) Global feature extensions in GNNs (2023), and (6) Expectation-complete graph representations (2023). Scientific Awards : 2024: DOC Fellowship from Austrian Academy of Sciences 2023: Best Poster Award at G-Research's ICML Poster Party Community Contributions : Organizer of Mining and Learning with Graphs (MLG) workshops at ECMLPKDD 2022-2024, co-organizer of Graph Learning on Wednesdays (GLOW) reading group, and session chair at ECMLPKDD'23.

• Graph Neural Networks
• Active Learning
• Learning Theory
• +۱ مورد دیگر

Professor Jaroslav Nesetril is affiliated with Charles University's Faculty of Mathematics and Physics since 1970 and serves as Director of the Institute of Theoretical Informatics (ITI) since 2000. He holds a full professor position since 1993 and has maintained adjunct roles at University of Waterloo (2000-2003) and visiting positions at prestigious institutions including University of Bonn (John von Neumann Professor) and University of Chicago. Fields of scholarship: Combinatorics, Graph Theory, Algorithmics, and Discrete Mathematics Leadership roles: Department Chairman (1986-1999), Director of ITI (2000-present) His research focuses on combinatorial structures, graph homomorphisms, and computational complexity. As a leading figure in discrete mathematics, he has contributed extensively to Ramsey theory, sparsity, and combinatorial number theory through both research and editorial leadership. Scientific honors include: Doctor Honoris Causa from Universite Bordeaux I (2009) and University of Alaska (2005) Gold medal from Charles University's Faculty of Mathematics and Physics (2011) State prize of Czechoslovakia (1985) Memberships in Academia Europaea (2012) and Hungarian Academy of Sciences (2013) He has served on editorial boards of major journals including Combinatorica, Journal of Graph Theory, and Random Structures and Algorithms, while maintaining active research leadership through DIMATIA Centre and European networks like COMBSTRU.

• Combinatorics
• Graph Theory
• Algorithmics
• +۸ مورد دیگر

Jin-Yi Cai is a distinguished Professor of Computer Science and Steenbock Professor of Mathematical Sciences at the University of Wisconsin at Madison, where he has been a faculty member since 2000. Previously, he held academic positions at State University of New York at Buffalo (Professor 1996-2000, Associate Professor 1993-1996), Princeton University (Assistant Professor 1989-1993), and Yale University (Assistant Professor 1986-1989). He has also been a Radcliffe Institute Fellow at Harvard University (2007-2008) and a Guggenheim Fellow and Visiting Professor at the University of Toronto (1999-2000). Dr. Cai earned his Ph.D. in Computer Science from Cornell University in 1986, an M.A. in Mathematics from Temple University in 1983, and a Certificate in Mathematics from Fudan University in 1981. His academic journey spans prestigious institutions across the United States and demonstrates a consistent trajectory of scholarly excellence. Professor Cai's research focuses on theoretical computer science, particularly computational complexity theory, with significant contributions to holographic algorithms, counting constraint satisfaction problems, and graph homomorphisms. His work bridges computer science and mathematics, developing sophisticated algorithms and proving fundamental complexity results. His research has evolved from foundational work in structural complexity and oracle separations to specialized work in holographic algorithms and counting problems, demonstrating both depth and breadth in theoretical computer science. His publication record shows a consistent output of high-impact research, with major contributions spanning over three decades. His work on holographic algorithms represents a particularly innovative strand of research that has opened new avenues in computational complexity. The progression of his research demonstrates increasing specialization in counting problems while maintaining connections to broader theoretical frameworks in computer science and mathematics. 2022 Simons Fellowship 2022 CCF Award for Overseas Outstanding Contribution 2022 Fellow, American Mathematical Society (AMS) 2021 Fulkerson Prize in Discrete Mathematics 2021 Gödel Prize in Theoretical Computer Science 2014 Steenbock Professorship, UW Madison 2001 ACM Fellow 1998 John Simon Guggenheim Fellowship 1994 Sloan Fellowship Professor Cai has served as Editor of the Journal of Computer and System Sciences and Associate Editor of the Journal of Computational Complexity. His work has been recognized with numerous prestigious fellowships including the Guggenheim Fellowship, Sloan Fellowship, and Humboldt Research Award. His research has had significant impact in theoretical computer science, earning him the Gödel Prize and Fulkerson Prize, two of the most prestigious awards in theoretical computer science and discrete mathematics respectively.

• Theoretical Computer Science
• Computational Complexity Theory
• Holographic Algorithms
• +۳ مورد دیگر

Emo Welzl has been a Full Professor of Computer Science at the Institute for Theoretical Computer Science, ETH Zurich since 1996. His academic journey spans institutions including Free University of Berlin, University of Denver, Rijks University Leiden, and collaborations through graduate programs like the Berlin-Zurich Graduate Program in 'Combinatorics, Geometry, and Computation'. 1996–Present: Full Professor of Computer Science, ETH Zurich 1987–1996: Full Professor of Mathematics (theory of computation), Free University of Berlin Education Diplom in Applied Mathematics, Graz University of Technology (1981) Ph.D. in Formal Languages, Graz University of Technology (1983) Habilitation in Foundations of Computer Science, Graz University of Technology (1988) Research Interests Welzl's work focuses on foundations of computer science , with emphasis on algorithms , data structures , and computational geometry . Key subfields include combinatorial optimization , randomized methods , and discrete geometry . His recent interests extend to satisfiability problems. Honours and Awards Max Planck Prize (1992) Gottfried Wilhelm Leibniz-Prize (1995) ACM Fellow (1998) Member of Leopoldina (2005), Academia Europaea (2006), and Berlin-Brandenburg Academy (2007) Service and Leadership He has chaired program committees for major conferences like the ACM Symposium on Computational Geometry (1995), ICALP (2000), and European Symposium on Algorithms (2007). He served on editorial boards of journals including the Journal of Discrete and Computational Geometry and ACM Transactions on Computation Theory .

• Foundations of computer science
• Computational geometry
• Combinatorial models for optimization
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Alexander Glazman is an Associate Professor at the University of Innsbruck , leading the FWF-funded project on Order-disorder phase transitions in 2D lattice models . His research focuses on the intersection of Probability Theory and Mathematical Physics, particularly studying phase transitions and critical phenomena in models like the Loop O(n), Six-Vertex, Ashkin-Teller, and Ising models. Education : PhD in Mathematics, University of Geneva (2016), supervised by Stanislav Smirnov. Candidate of Physico-Mathematical Sciences, St. Petersburg State University (SPbU) and PDMI (under Dmitry Karpov). Master's degree in Mathematics, St. Petersburg. Research Interests : Glazman investigates statistical mechanics models, emphasizing rigorous analysis of phase transitions, loop models, and critical phenomena. Key areas include: Loop O(n) and Six-Vertex models on hexagonal/triangular lattices. FK-percolation, Ashkin-Teller model, and their connections to random-cluster representations. Height functions, interface fluctuations, and conformal invariance. Self-avoiding walks and their universality. Recent Work Trends : His articles address interface convergence in Potts models, delocalization in Lipschitz functions, and phase diagrams of Ashkin-Teller and six-vertex models. Collaborations emphasize techniques like coupling methods, renewal theory, and Benjamini-Schramm limits. Grants & Projects : Principal Investigator (PI) of FWF Stand-Alone Grant P 34713 (€399k), studying 2D lattice models' phase transitions. Labs/Teams : Active in the Department of Mathematics at Innsbruck, contributing to probabilistic and mathematical physics research groups.

• Probability Theory
• Mathematical Physics
• Statistical Mechanics
• +۷ مورد دیگر