جست‌وجوی استاد و پژوهشگر

Mathew Penroseمشاهده پروفایل

استاد

• Stochastic Geometry
• Probability Theory
• Percolation Theory
• +۳ مورد دیگر

Mathew Penrose is a Professor in the Department of Mathematical Sciences at the University of Bath. He is affiliated with the Probability Laboratory at Bath, the Centre for Networks and Collective Behaviour, and the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa). His research focuses on stochastic geometry, pure and applied probability, and spatial networks, with applications to percolation, random graphs, and limit theorems. Key research interests include discrete and continuous percolation, interacting particle systems, random packing, stochastic networks, and stochastic analysis on Poisson spaces. He has authored the influential monograph Random Geometric Graphs (2003). Recent work explores connectivity thresholds in random geometric graphs, coverage models, and asymptotic behaviors in stochastic systems. His projects include EPSRC-funded research on stochastic geometry coverage and connectivity, and he has led collaborations on parameter estimation in adsorption models and spatial networks. Penrose has advised on multiple doctoral training programs and contributed to the SAMBa initiative. His research outputs span over 60 peer-reviewed articles, with a focus on advancing theoretical probability through geometric and combinatorial approaches.

Mark Jerrumمشاهده پروفایل

استاد

• Combinatorics
• Computational Complexity
• Theoretical Computer Science
• +۷ مورد دیگر

Mark Jerrum is a Professor of Mathematics at Queen Mary University of London, part of the School of Mathematical Sciences. His research focuses on combinatorics, computational complexity, and stochastic processes, particularly in the design and analysis of randomized algorithms. He explores the mixing times of Markov chains and computational complexity of counting problems, including partition functions and generating functions, often motivated by statistical physics, constraint satisfaction, and graph polynomials. Notable grants include an EPSRC-funded project on Sampling in Hereditary Classes (EP/S016694/1, 2019–2023). He has contributed to teaching, serving as module organiser for MTH4213 (Numbers, Sets and Functions) in 2023–24. His work bridges theoretical computer science and discrete mathematics, with applications in algorithmic design and probabilistic analysis. Research highlights include advancements in perfect sampling algorithms, approximation algorithms for counting problems, and foundational work on the interplay between statistical physics models and computational complexity. He is affiliated with the Centre for Combinatorics, Algebra and Number Theory, reflecting his interdisciplinary approach to combinatorial and algorithmic challenges.

• Algorithms
• Complexity Theory
• Probability
• +۵ مورد دیگر

James R. Lee is a Professor in the Department of Computer Science at the University of Washington, with a focus on algorithms, complexity, and the theory of computation. He is affiliated with the UW Theory Group and currently on leave at Microsoft Research, which may delay responses to UW emails. Research Interests: Algorithms, complexity, geometry/discrete-continuous interfaces, probability, stochastic processes, metric embeddings, spectral graph theory, convex optimization. Recent Work Trends: Sparsification of generalized linear models and norms, spectral hypergraph methods, entropic regularization for metrical task systems, and analysis of scaling exponents in random graphs. His papers address sparsifier existence, lower bounds for SDP/LP relaxations, and geometric random walk properties. Scientific Awards: Best Paper Award at STOC 2015. Students: Farzam Ebrahimnejad, Ewin Tang, Yichuan Deng (co-advised with Shayan Oveis-Gharan, Shirshendu Ganguly, and others). Email: jrl@cs.washington.edu

Bárány Imreمشاهده پروفایل

استاد پژوهشی

• Discrete Geometry
• Combinatorics
• Convex Geometry
• +۷ مورد دیگر

Imre Bárány is a Research Professor at the Alfréd Rényi Institute of Mathematics, Hungarian Academy of Sciences, and holds the Astor Professor of Pure Mathematics position at University College London (half-time). His career spans over four decades with visiting roles at Yale University, MSRI, Microsoft Research, and others. Bárány graduated from Eötvös University (1971), earned his PhD (1982) and Doctor of Sciences (1993) from the Hungarian Academy of Sciences, and became a member of the Hungarian Academy of Sciences in 2010. His research interests include discrete geometry, combinatorics, convexity, algebraic topology, and their applications in computer science and operations research. Key areas of focus are random polytopes, lattice points, Helly-type theorems, and geometric optimization. Bárány’s recent work, such as his 2020 paper on Carathéodory-Helly-Tverberg theorems and 2016 analysis of curve-hyperplane interactions, showcases advancements in geometric combinatorics. Over 170 publications span journals like Discrete & Computational Geometry and Annals of Probability. Awards: Rényi Prize (1988), Hungarian Academy Prize (1998), ERC Advanced Grant (2011), AMS Fellow (2012), Szechenyi Prize (2016). Grants & Leadership: Led the ERC-funded 'Discrete and Convex Geometry' project. Editorial roles include Discrete & Computational Geometry (since 1991) and Combinatorica (Editor-in-Chief since 2020).

Saroglou Christosمشاهده پروفایل

دانشیار

• Convex Geometry
• Functional Analysis
• Geometric Tomography
• +۴ مورد دیگر

Christos Saroglou is an Associate Professor in the Department of Mathematics at the University of Ioannina, Greece. His academic career includes prior roles as Assistant Professor (2018–2023), Visiting Assistant Professor at Texas A&M University, and postdoctoral positions at institutions including Kent State University and Tel Aviv University. He holds a Ph.D. in Mathematics from the University of Crete (2011), with a thesis on problems related to convex bodies. His research focuses on Convex and Affine Geometry, Isoperimetric Inequalities, Geometric Tomography, and Functional Analysis. Education: Ph.D. (2011) and M.Sc. (2005) from University of Crete; B.Sc. (2003) from Aristotle University of Thessaloniki. Key Research Areas: Convex Geometry, Functional Analysis, Geometric Probability, and Asymptotic Geometric Analysis. Recent Work: Contributions to the Lp-Minkowski problem, log-Brunn-Minkowski conjecture, and geometric inequalities involving Wulff shapes and projection bodies. His publications address topics such as symmetrization operators, convex body properties, and geometric inequalities. He actively participates in international conferences and collaborates with global researchers. Current advisees include Konstantinos Patsalos (PhD) and Lampros Athanassopoulos (MSc). His work bridges theoretical insights with applications in geometric functional analysis and convex geometry.

Christoph Thäleمشاهده پروفایل

استاد

• Stochastic Geometry
• Geometric Probability
• Limit Theorems
• +۴ مورد دیگر

Professor Christoph Thäle is a faculty member in the Faculty of Mathematics at Ruhr-Universität Bochum . His research focuses on stochastic geometry, geometric probability, limit theorems for random structures, and applications of Malliavin calculus and Stein's method. He has supervised numerous PhD and master's students, including Tristan Schiller, Nils Heerten, and Kathrin Meier. His work bridges theoretical probability with geometric analysis, particularly in high-dimensional spaces. Research Interests: Stochastic Geometry, Convex Geometry, Limit Theorems, Random Structures in High Dimensions Team Members: Postdocs (Panagiotis Spanos, Ercan Sönmez), PhD students (Philipp Tuchel, Bahareh Yousefi), and collaborators like Anna Gusakova and Zakhar Kabluchko. Key contributions include studies on random polytopes, Poisson hyperplane tessellations, and geometric analysis in hyperbolic spaces. His recent publications (2023–2025) explore intersection probabilities, radial spanning trees, and large deviations in high-dimensional settings. Thäle's research has been supported by collaborations with institutions like the University of Duisburg-Essen and the University of Osnabrück.

• Group Theory
• Finite Groups
• Character Theory
• +۲ مورد دیگر

Maria Loukaki serves as an Associate Professor in the Department of Mathematics & Applied Mathematics at the University of Crete, Greece, maintaining an active office (Γ315) and contact line (+30-2810393741) in Heraklion, Crete. Her research centers on Group Theory and Character Theory , with specialized focus on finite group structures, subgroup classifications, and combinatorial algebra. Key interests include nilpotent injectors, Carter subgroups, character degrees, and transversal probabilities, reflecting deep engagement with algebraic combinatorics and finite solvable groups. Analysis of her 2022-2025 publications reveals intensifying work on probabilistic group structures—particularly common transversals in abelian groups—and refined counting techniques for p-group substructures. Her output demonstrates consistent theoretical innovation at the intersection of combinatorics and representation theory.

Erivelton Nepomucenoمشاهده پروفایل

دانشیار

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +۶ مورد دیگر

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

Gabor Hetyeiمشاهده پروفایل

استاد

• Topological Combinatorics
• Enumerative Combinatorics
• Polyhedral Combinatorics
• +۳ مورد دیگر

Gábor Hetyei is a Professor of Mathematics at the University of North Carolina at Charlotte (UNCC), part of the Department of Mathematics & Statistics. His academic career spans over two decades, with roles including Assistant Professor (2000-2006), Associate Professor (2006-2014), and Professor (2014–present). He previously held positions at the University of Kansas, MIT, and the Mathematical Sciences Research Institute (MSRI). Education PhD in Mathematics, MIT (1994), advised by Richard P. Stanley. Master of Science (with honors) in Mathematics, Eötvös University Budapest (1988). Research Interests Hetyei's work focuses on topological, enumerative, polyhedral, and algebraic combinatorics , with contributions to knot theory, poset topology, hypermap theory, and combinatorial geometry. His research bridges algebraic structures and geometric/topological insights, often involving combinatorial objects like permutations, partitions, and polytopes. Recent Trends in Publications His recent work emphasizes knot invariants (e.g., braid indices of pretzel links), combinatorial geometry (hypermonopoles, triangulations), and algebraic combinatorics (Tchebyshev transforms, Catalan-Spitzer permutations). These studies often intersect with topological graph theory and geometric representation theory. Awards and Grants Simons Foundation Collaboration Grants (2012–2024). National Security Agency Grant for combinatorial research (2007–2009). International recognition including a silver medal at the 1983 International Mathematical Olympiad. Advising and Professional Contributions Advised doctoral student Sarah Birdsong (2013) on cubical complex invariants. Active in organizing the Algebra, Combinatorics, and Number Theory Seminar at UNCC. Authored over 60 refereed articles and conference proceedings, with contributions to journals like Discrete & Computational Geometry and European Journal of Combinatorics.

Peter Pivovarovمشاهده پروفایل

استاد

• Asymptotic Geometric Analysis
• Convex Geometry
• Functional Analysis
• +۳ مورد دیگر

Peter Pivovarov is a Professor in the Department of Mathematics at the University of Missouri's College of Arts and Science. He holds a Ph.D. from the University of Alberta and specializes in Asymptotic Geometric Analysis, focusing on high-dimensional phenomena in convex geometry and probability theory. His research examines randomized affine isoperimetric inequalities and geometric properties of convex sets in Euclidean spaces. Education includes: Ph.D. in Mathematics, University of Alberta (2010) M.S. in Mathematics, University of Alberta (2005) B.S. in Pure Mathematics (First Class Honors), University of Calgary (2003) His research integrates techniques from functional analysis, convex geometry, and probability to study high-dimensional randomness. Recent publications explore stochastic approaches to isoperimetry, limit theorems for random sections of convex bodies, and extensions of classical inequalities like Urysohn and Brunn-Minkowski through probabilistic frameworks. Pivovarov has received funding from the NSF, NSA, Simons Foundation, and UM Research Board. He teaches advanced courses including Calculus III, Theory of Functions of a Real Variable, and Advanced Probability.

• Probability Theory
• Stochastic Processes
• Spatial Statistics
• +۳ مورد دیگر

Frankie Higgs is a Researcher in the Department of Mathematical Sciences at the University of Bath. His work focuses on probability theory and stochastic processes, particularly involving point processes and coverage problems. He has contributed to studies on coverage thresholds in random geometric networks, collaborating with Mathew Penrose and Xiaochuan Yang. His research includes theoretical analysis and computational simulations to understand coverage phenomena in stochastic systems. Key contributions include the 2025 paper on covering one point process with another and a 2023 study on nearest-neighbour connectivity thresholds. His GitHub repository CovXY provides simulation code related to his research, demonstrating expertise in computational probability and stochastic modeling.

Philip Wilseyمشاهده پروفایل

استاد

• High Performance Computing
• Data Science
• Parallel and Distributed Simulation
• +۵ مورد دیگر

Philip Wilsey is a Professor at the University of Cincinnati, specializing in High Performance Computing, Big Data Analysis, and Parallel and Distributed Simulation. He holds a Ph.D. in Computer Science from the University of Louisiana Lafayette (1987) and has extensive experience in Topological Data Analysis (TDA), particularly in persistent homology. His research also spans Privacy Preserving Data Mining, Embedded Systems, and medical device development through collaborations with the College of Medicine. Education: Ph.D., Computer Science, University of Louisiana Lafayette (1987) M.S., Computer Science, University of Louisiana Lafayette (1985) B.S., Mathematics, Illinois State University (1981) Research Interests: Optimizing TDA algorithms with partitioning and parallelism Privacy-preserving clustering using random projection hashing High-performance simulation techniques for multi-core platforms Development of point-of-care medical devices Key Contributions: Pioneered work on streaming persistent homology and big data clustering Advanced Time Warp parallel simulation mechanisms Secured over $20M in grants, including NSF and NIH funding Labs/Teams: Collaborates with the BioSensors group and the College of Medicine on medical device projects. Active in the WARPED simulation kernel development team.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Bo Wang represents multiple academic researchers across various institutions worldwide, with prominent affiliations at Tsinghua University, Michigan State University, University of York, and Hamad Bin Khalifa University. The collective profile shows active research contributions across computer science, engineering, and applied mathematics disciplines. These researchers hold faculty positions primarily as Professors or Associate Professors in departments including Computer Science, Electrical Engineering, and Applied Mathematics. Research interests span artificial intelligence, machine learning, biomedical engineering, wireless communications, and computational mathematics. The collective publication record demonstrates significant contributions to federated learning, medical image analysis, control systems, and biomolecular modeling. Recent work shows particular strength in developing novel AI architectures for scientific computing and healthcare applications. Publication trends reveal increasing interdisciplinary collaboration, with substantial output in top-tier journals and conferences from 2020-2025. Key research areas include deep learning for medical imaging, optimization algorithms for engineering systems, and computational methods for biological data analysis. The collective work shows strong methodological innovation combined with practical applications. No specific scientific awards were identified in the disambiguation page, though the high publication volume in reputable venues suggests recognition within respective fields. The collective research demonstrates strong connections between theoretical advances and practical implementations across multiple domains. While specific student information isn't provided in the disambiguation page, the extensive publication record suggests active supervision of graduate students. Research appears well-funded through various institutional and potentially national funding mechanisms, supporting the diverse range of projects spanning theoretical and applied domains.

Matthew Kahleمشاهده پروفایل

استاد

• Combinatorics
• Probability Theory
• Geometric Group Theory
• +۳ مورد دیگر

Matthew Kahle is a Professor in the Department of Mathematics at The Ohio State University, where he has served since 2011. His research focuses on the interplay between topology, geometry, probability, and combinatorics, with applications to statistical physics and geometric group theory. He holds a PhD from the University of Washington (2007) and has held positions at Stanford University and the Institute for Advanced Study. Kahle advises multiple PhD students and has mentored numerous postdocs. His honors include the Simons Fellowship, NSF CAREER Award, and Sloan Research Fellowship. Education: PhD (2007) in Mathematics from the University of Washington; MS (2001) in Mathematics from Colorado State University. Earlier studies include a BS from the University of Chicago. Research interests emphasize stochastic topology, configuration spaces, and random simplicial complexes. He explores how probabilistic methods reveal structural properties in geometric and combinatorial systems. His work on persistent homology and topological phase transitions has influenced computational topology and statistical mechanics. Key awards include the 2019 Mercator Fellowship, AMS Fellowship, and Simons Fellowship. His Erdős number is 2, reflecting collaborations in combinatorics and graph theory. Kahle has also engaged in visiting roles at institutions worldwide, including TU Berlin and Queen Mary University of London. Advising spans over a dozen PhD students and postdocs, contributing to their success in academic and applied mathematics. His grants include NSF funding for research on topological phases and configuration space topology. Collaborative efforts with international researchers highlight his global impact in mathematical science. Labs/Teams: Kahle leads a research group focused on algebraic topology and its applications, collaborating with postdocs and students on projects ranging from random geometric complexes to topological data analysis.

Tomasz Tkoczمشاهده پروفایل

دانشیار

• Analysis
• Probability
• Convex Geometry
• +۵ مورد دیگر

Tomasz Tkocz is an Associate Professor in the Department of Mathematical Sciences at Carnegie Mellon University (CMU), affiliated with the Mellon College of Science. He holds a Ph.D. from the University of Warwick and has held postdoctoral positions at Princeton University and the Mathematical Sciences Research Institute (MSRI). His research focuses on analysis, probability, and convex geometry, with emphasis on high-dimensional phenomena, geometric inequalities, and information theory. Tkocz has taught courses ranging from undergraduate calculus to graduate-level topics in complex analysis, functional analysis, and probability. Notable contributions include work on Gaussian inequalities, convex body sections, and entropy-related problems. Education: Ph.D. in Mathematical Sciences, University of Warwick Postdoctoral Fellowships: Princeton University, MSRI Research Interests: Analysis of high-dimensional geometric structures Probabilistic methods in convex geometry Entropy and concentration inequalities Random matrices and log-concave distributions Recent Publications Trends: Tkocz’s recent work explores geometric stability phenomena (e.g., simplex and polydisc slicing), entropy interpretations of anti-concentration, and sharp inequalities for random variables. His 2025 papers extend tail bounds for uniform sums and reverse Hölder inequalities, reflecting ongoing contributions to probabilistic and geometric analysis. Teaching & Outreach: Tkocz has instructed over a decade of courses at CMU, including Complex Analysis, Functional Analysis, and Real Analysis. His materials emphasize rigorous problem-solving and applications of abstract mathematical concepts.