Eranda Dragoti-Cela is an Associate Professor at the Department of Optimization and Discrete Mathematics, Graz University of Technology. She specializes in combinatorial optimization, focusing on polynomially solvable special cases of NP-hard problems like the Quadratic Assignment Problem (QAP), portfolio optimization, and algorithmic graph theory. Education: M.Sc. in Applied Mathematics, University of Tirana (1992) Ph.D. in Technical Sciences, Graz University of Technology (1995) Habilitation in Applied Mathematics (2001) Her research spans combinatorial optimization (QAP, assignment problems, location problems), portfolio optimization (risk-return models, ordinal information integration), and graph theory (edge intersection graphs, network flows). Recent work includes linearization of quadratic shortest path problems and data arrangement on trees. She supervises bachelor's and master's theses in discrete mathematics and teaches courses like Combinatorial Optimization 1 and Risk Theory and Management , emphasizing algorithmic rigor and practical applications in finance and engineering.
Alain Hertz is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He is affiliated with two major research centers: Institut de valorisation des données (IVADO) and Groupe d'études et de recherche en analyse des décisions (GERAD). His expertise spans operations research, management science, and algorithm development with applications across multiple industries. Professor Hertz specializes in combinatorial optimization, graph theory, algorithms, heuristics and metaheuristics. His research bridges theoretical mathematics with practical applications in scheduling, vehicle routing, and decision support systems. Recent work explores graph-based approaches for recommender systems and chemical graph theory, demonstrating the versatility of his mathematical frameworks. His publication record shows consistent output across top journals in operations research and graph theory. Recent articles (2021-2025) focus on extremal graph theory, chemical graphs, graph coloring variants, and applications of graph theory to recommender systems. This demonstrates both theoretical depth and practical relevance in his research trajectory. Prix de la ministre de l'Éducation, du Loisir et du Sport - Gouvernement du Québec (2011) Professor Hertz has supervised 13 doctoral students and 18 master's students, with thesis topics ranging from optimization methods for semi-supervised clustering to wind farm network design. His supervision approach emphasizes both theoretical foundations and practical applications, preparing students for careers in both academia and industry. His research has been supported by various grants enabling collaborative work with international partners. Through his affiliations with IVADO and GERAD, Professor Hertz contributes to interdisciplinary research initiatives that connect mathematical theory with real-world problems in data science, artificial intelligence, and industrial engineering.
Heidi Burgiel is a Professor in the Department of Mathematics at Bridgewater State University's College of Science and Mathematics. Her research bridges pure mathematics and visual applications, with significant contributions to geometric visualization, symmetry theory, and mathematical art. Her primary research domains include: Geometric structures: deltahedra, lattices, and fundamental domains Mathematical art: Escher analysis, symmetry in art, and 3D-printed mathematical designs Educational mathematics: origami pedagogy, interactive learning tools, and curriculum development Discrete mathematics: Tantrix graphs and combinatorial geometry Her publications show strong interdisciplinary trends, connecting abstract mathematical concepts with tangible applications in art, education, and technology. Recent works demonstrate increasing focus on 3D printing applications and symmetry visualization. She has led several educational initiatives: Developed interactive applets for engineering mathematics Created origami-based geometry workshops Co-designed first-year courses with embedded academic support Contributed to OpenCourseWare movement Her grants include projects on mathematical vase design and Escher analysis. She frequently collaborates with mathematicians and artists, most notably co-authoring 'Symmetries of Things' with John Horton Conway.
Ye Li is a Professor at Bradley University's Caterpillar College of Engineering & Technology, where he serves in the Industrial & Manufacturing Engineering & Technology Department. His office is located in the Business and Engineering Convergence Center (Room 4225), and he can be contacted at yli@bradley.edu or (309) 677-2934. Education: Ph.D., Industrial Engineering, Iowa State University M.S., Mechanical Engineering, Shanghai Jiao Tong University, China B.S., Mechanical Engineering, Shanghai Jiao Tong University, China Research Focus: Professor Li's research specializes in advanced manufacturing technologies with particular expertise in: Rapid Prototyping & Additive Manufacturing Reverse Engineering methodologies CAD/CAM integration Computational Geometry applications Manufacturing process optimization Industrial metrology systems His work bridges theoretical computational methods with practical industrial applications. Publication Overview: With over 15 publications in leading manufacturing journals, Professor Li's research demonstrates consistent focus on optimization techniques for manufacturing processes. Recent works (2010-2013) primarily address rapid prototyping efficiency, geometric optimization, and lean manufacturing systems. His foundational research (2005-2009) established methodologies for machinability analysis and CAD-based manufacturing solutions.
Giuseppe Conti is an Associate Professor of Mathematical Institutions at the Faculty of Architecture, University of Florence, where he has been teaching since 1980. Born in Florence on February 27, 1947, he graduated in Mathematics from the University of Florence in 1972 with highest honors (110 cum laude). His career has spanned multiple institutions including the University of Calabria where he taught from 1973-1980 before returning to Florence. Professor Conti's research interests bridge pure and applied mathematics, with primary focus on Nonlinear Functional Analysis, Differential and Integral Equations, and the mathematical applications to architecture, particularly the analysis of Brunelleschi's Dome of Santa Maria del Fiore. His work also extends to mathematical applications in music, photogrammetry, and economics. He has developed specialized techniques for photogrammetric analysis of architectural structures and co-authored a significant text on analytical photogrammetry of non-metric architectural images. His publication record shows consistent output through 2025, with recent work focusing on geometric structures in architecture, Fibonacci numbers in art and music, and continued theoretical work in integral equations. His publications demonstrate a unique interdisciplinary approach that connects mathematical theory with practical architectural applications. Pirelliaward 2002 for scientific dissemination via the internet (first mathematician to win this award) Professor Conti has supervised numerous theses on both pure mathematics topics and mathematical applications to architecture. His teaching spans multiple departments at the University of Florence, including Architecture and Engineering, where he teaches mathematical analysis and specialized courses connecting mathematics to architecture and music. He has also been active in professional development, conducting numerous courses organized by the Veneto and Friuli regions with European Social Fund sponsorship. His research group focuses on mathematical applications to architectural analysis, particularly the geometric modeling of historical structures. This work has led to significant insights into Brunelleschi's construction techniques and has been featured in national television programs, architectural journals, and major Italian newspapers.
Professor Stefan Glasauer is a faculty member in the Faculty of Humanities and Natural Sciences at Technical University of Applied Sciences Augsburg (Technische Hochschule Augsburg). He holds the position of Professor in the Mathematics department and maintains an active teaching schedule for the 2025-2026 academic year. His research focuses on Convex Geometry and Integral Geometry , with particular expertise in the mathematical properties of convex bodies, kinematic formulae, and geometric measure theory. Professor Glasauer's work bridges theoretical mathematics with practical applications in geometric analysis. His publication record from 1995-1999 demonstrates significant contributions to the field of geometric mathematics, with papers appearing in respected journals such as Mathematische Zeitschrift, Forum Mathematicum, and Contributions to Algebra and Geometry. These works explore asymptotic approximations of convex bodies, integral geometric formulae, and spherical convexity. Professor Glasauer teaches a range of mathematics courses including: Mathematik 1 & 2 für Informatik Bachelor Analysis 1 & 2 für Data Science Bachelor Numerische Mathematik Angewandte Mathematik for Master students He maintains an active role in student supervision, having previously advised numerous bachelor's and master's theses as indicated on his website. His office is located in room A1.01b at the university's main entrance 'A B', Brunnenlechgässchen, and he is available by appointment.
Sinho Chewi is an Assistant Professor of Statistics and Data Science at Yale University, where he conducts research at the intersection of mathematics, statistics, and machine learning. His work focuses on theoretical aspects of computational statistics, particularly leveraging optimal transport theory for solving complex problems in sampling and inference. Chewi earned his B.S. in Engineering Mathematics and Statistics from the University of California, Berkeley in 2018, followed by a PhD in Mathematics and Statistics from the Massachusetts Institute of Technology in 2023 under the supervision of Philippe Rigollet. Prior to joining Yale, he was a postdoctoral researcher at the Institute for Advanced Study during the 2023-2024 academic year. His research interests span optimal transport theory , log-concave sampling , variational inference , and theoretical foundations of machine learning . Chewi is currently authoring a comprehensive book on the complexity of log-concave sampling, building on his extensive publication record. His work bridges theoretical mathematics with practical applications in statistical computing and artificial intelligence. Analysis of Chewi's publication record reveals a strong focus on developing rigorous mathematical frameworks for sampling algorithms, with particular emphasis on complexity analysis, convergence guarantees, and connections between functional inequalities and optimization. His recent work extends into diffusion models, neural network theory, and parallel sampling algorithms, demonstrating both depth in core statistical theory and breadth across machine learning applications. ICLR 2023 (Notable Top 5%) ALT 2023 (Best Student Paper) NeurIPS 2021 (Spotlight) ICLR 2025 DeLTA Workshop (Best Short Paper Award) Chewi has received significant research support through his postdoctoral position at the Institute for Advanced Study and collaborations with leading researchers at institutions including MIT, NYU, and Microsoft Research. His teaching portfolio includes advanced courses in optimization techniques and sampling methods, reflecting his expertise in theoretical foundations of machine learning algorithms.
