Arindam Roy is an Associate Professor in the Department of Mathematics and Statistics at the University of North Carolina at Charlotte. He serves as the Director of the Math and Stat Honors Program and is affiliated with research in analytic number theory, algebraic number theory, and graph theory. Current Position: Associate Professor, UNC Charlotte (2025–) Previous Positions: Assistant Professor, UNC Charlotte (2018–2025); G.C. Evans Instructor, Rice University (2015–2018) His research focuses on zeros of the Riemann zeta-function and L-functions, partial sums of zeta functions, divisor problems, integral transforms, and graph theory. Recent work explores value distributions, Turán inequalities, and connections to Ramanujan's theories. Key trends in his publications include analytic number theory, special functions, and the interplay between modular forms and graph theory. His articles often address critical line behavior, approximation techniques, and arithmetic functions.
Rocco CHIRIVI' is an Associate Professor in the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento. His research focuses on algebra, particularly representation theory, algebraic geometry, and combinatorics. Dr. CHIRIVI' earned his PhD from the Scuola Normale Superiore in Pisa in 2000 under the supervision of Professors Corrado De Concini and Peter Littelmann. Prior to this, he graduated in Mathematics from the University of Pisa in 1995 with 110/110 cum laude and obtained a Diploma in Mathematics from the Scuola Normale Superiore of Pisa in 1997 with 70/70 and honors. His research interests span several areas of pure mathematics with a focus on algebraic structures. He has made significant contributions to the study of symmetric varieties, representation theory of Lie groups and algebras, algebraic combinatorics, and geometric invariant theory. His work often explores the connections between algebraic structures and geometric objects, with particular attention to the combinatorial aspects of representation theory. Dr. CHIRIVI''s publications over the past two decades demonstrate a consistent focus on algebraic structures, particularly in representation theory and algebraic geometry. His research has evolved from foundational work on LS algebras and Schubert varieties to more recent investigations into space forms, group resolutions, and standard monomial theory for wonderful varieties. A recurring theme in his work is the study of symmetric varieties and their properties, including normality conditions, defining equations, and projective embeddings. He has collaborated with prominent mathematicians such as Andrea Maffei, Paolo Bravi, Jacopo Gandini, and Shrawan Kumar, producing significant results in representation theory and algebraic geometry. His work appears in respected journals including the Journal of Algebra, Transformation Groups, and the Kyoto Journal of Mathematics. Dr. CHIRIVI' has served as a researcher at the Louis Pasteur University of Strasbourg, the University "La Sapienza" of Rome, and the University of Pisa before joining the University of Salento in 2012. He was promoted to Associate Professor of Geometry at the University of Salento in December 2019.
Luis Barba is a Research Fellow in the Machine Learning and Optimization group at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, working under Professor Martin Jaggi. He completed his PhD through a cotutelle program between Carleton University, Ottawa and Université Libre de Bruxelles, Brussels, supervised by Professors Stefan Langerman, Jit Bose, Pat Morin and Vida Dujmović. Prior to that, he earned his master's degree at Universidad Nacional Autónoma de México (UNAM) under Professor Jorge Urrutia. Dr. Barba's research spans computational geometry, algorithms, graph theory, and more recently, machine learning and optimization. His work addresses fundamental problems in geometric data structures, Voronoi diagrams, graph coloring, and distributed learning. He has made significant contributions to understanding time-space trade-offs in geometric algorithms and developing efficient methods for problems like geodesic Voronoi diagrams and dynamic graph coloring. Dr. Barba's publication record demonstrates a clear evolution from theoretical computational geometry to practical applications in machine learning. Early in his career, he focused on fundamental geometric problems including linear-time algorithms for geodesic Voronoi diagrams and efficient convex hull computation in polygonal domains with obstacles. More recently, his work has shifted toward machine learning, where he has developed novel optimization techniques for distributed and federated learning settings, including implicit gradient alignment methods and multilayer lookahead approaches. Dr. Barba has published extensively in top-tier conferences and journals including Symposium on Computational Geometry (SoCG), Canadian Conference on Computational Geometry (CCCG), Algorithmica, and Discrete and Computational Geometry. His collaborative work demonstrates strong connections across the computational geometry and algorithms communities, with frequent co-authorship with leading researchers in these fields. Throughout his career, Dr. Barba has maintained a consistent focus on algorithmic efficiency and computational complexity, whether addressing theoretical geometric problems or practical machine learning challenges. His work exemplifies how deep theoretical insights can inform practical computational approaches across different domains of computer science.
Christopher Hojny is an Assistant Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology , specializing in combinatorial optimization. He contributes to the EAISI Foundational group and co-develops the academic solver SCIP . His research focuses on symmetry handling in mixed-integer programming , theoretical properties of integer programs, and algorithm development for combinatorial optimization. Recent work explores applications in graph neural network verification , clustering problems, and network coding through mixed-integer programming frameworks. Key publication trends show expertise in Symmetry detection and mitigation techniques Relaxation complexity theory Applications to machine learning robustness Decision diagram-based scheduling Scientific contributions include Proof systems for symmetry certification Topological bounds tightening in GNNs Stable set problem symmetry handling SCIP solver extensions He supervises PhD students Cédric Roy (NWO project on Local Symmetries) and Sten Wessel (co-supervised with Frits Spieksma), while Jasper van Doornmalen (2019-2023) investigated symmetry propagation algorithms.
Romain Raveaux is an Associate Professor at the LIFAT Computer Science Laboratory, University of Tours, affiliated with Polytech Tours. His research focuses on Image Analysis, Machine Learning, Structural Pattern Recognition, Graph Matching, Graph Neural Networks, Discrete Optimization, Reinforcement Learning, and Transfer Learning . Email: romain.raveaux@gmail.com , romain.raveaux@laposte.net Address: 64 av. Jean Portalis, Tours, France, 37200 Phone: +33 (0)2 47 36 14 27 Research Interests Graph Matching and Neural Networks Discrete Optimization for Pattern Recognition Transfer Learning in Graph-Based Models Historical Document Analysis Scientific Trends His recent work bridges Graph Neural Networks with Mixed-Integer Programming , focusing on Image Semantic Segmentation and Graph Cycle Detection . Earlier studies emphasize Genetic Algorithms for graph classification and Graph Edit Distance optimization in pattern recognition.
Federico Vigolo is a Junior Professor in pure mathematics at the University of Göttingen's Mathematical Institute and a Principal Investigator of RTG 2491 - Fourier Analysis and Spectral Theory. He also serves as one of the Equal Opportunities Officers (Gleichstellungsbeauftragte) of the Mathematical Institute. His work bridges several areas of mathematics including coarse geometry, operator algebras, and geometric group theory. Dr. Vigolo completed his PhD at the University of Oxford in 2018 with a thesis titled "Geometry of actions, expanders and warped cones". His academic journey has led him to become a prominent researcher in coarse geometry and its interactions with other mathematical fields. His primary research focuses on Coarse Geometry and its rich interactions with operator algebras, index theory, and group theory. Specific topics he has extensively worked on include Roe algebras, Expander Graphs, coarse Baum–Connes conjecture, actions on metric and measure spaces, and CAT(0) and Hyperbolic Cube Complexes. His work often explores the connections between large-scale geometric properties and algebraic structures, with significant contributions to understanding coarse groups and warped cones. An analysis of his publication record reveals a strong focus on the intersection of coarse geometry with operator algebras and group theory. His work consistently explores how coarse geometric properties manifest in algebraic structures like Roe algebras, and how these connections can be used to prove rigidity results or construct counterexamples to important conjectures. A notable trend is his development of frameworks that unify previously disparate concepts in coarse geometry, such as his work on coarse geometric modules and rigidity frameworks for Roe-like algebras. His 2023 monograph "An Invitation to Coarse Groups" represents a foundational contribution to this emerging field. Professional Activities Organizer of the "Autumn School on Large Scale Geometry" (2023, Göttingen) Organizer of the "Random walks and related random topics" workshop (2022, Göttingen) Organizer of the YMC*A conference (2021, Münster) Organizer of the "Interactions between expanders, groups and operator algebras" mini-workshop (2021, Münster) Dr. Vigolo actively supervises students, with Christos Kitsios currently pursuing a PhD under his guidance. He welcomes bachelor's and master's students interested in topics related to coarse geometry, geometric group theory, group actions on measure spaces, and operator algebras. He teaches a variety of courses including "Analytische Geometrie und Lineare Algebra," "Introduction to algebraic topology," and specialized seminars on topics like "Gender and Mathematics" and "topological K-theory." His research has led to significant contributions in multiple areas, particularly in developing the theory of coarse groups and exploring the connections between coarse geometry and C*-algebras. His work on warped cones and asymptotic expanders has provided new counterexamples to the coarse Baum-Connes conjecture and advanced our understanding of coarse geometric invariants.
Donald Vestal is an Associate Professor and Coordinator in the Department of Mathematics and Statistics at the University of South Dakota. He specializes in Ramsey Theory and Operations Research, with teaching responsibilities in courses like Operations Research (MATH 475/575/675) and Abstract Algebra (MATH 413). His research focuses on Ramsey Theory on the Integers and Operations Research applications. Education: Ph.D. in Mathematics, University of Colorado, Boulder (1998) M.S. in Mathematics, Colorado State University (1992) B.S. in Mathematics, Colorado State University (1990) Research Interests: Dr. Vestal's work explores Ramsey numbers, additive number theory, and combinatorial problems. His studies often bridge pure mathematics with applied operations research methodologies. Publications Trends: His articles span nonlinear Ramsey theory, Diophantine equations, and eta functions, reflecting a focus on both theoretical foundations and applied mathematical problem-solving. Awards: 2013 Engineering Academic Advisor of the Year 2003 Jesse Lee Myers Excellence in Teaching Award Grants & Advising: Secured a $294,200 NSF grant (2003) for Computer Science and Mathematics scholarships. Actively coordinates graduate programs and advises students in mathematics and operations research.
Stefan Adams was an Associate Professor in the Department of Mathematics at the University of Warwick, affiliated with the Faculty of Science. He specialized in probability theory, statistical mechanics, and large deviation theory, with a focus on gradient models, interacting particle systems, and non-convex potentials. His research also involved applications to mathematical physics and stochastic processes. Adams held a First Grant (100% funding) for 2011-2012 to support his research. He organized several workshops, including the 2008 'Gradient Models and Elasticity' conference at Warwick and the 2009 'Conference in honour of Hans-Otto Georgii' at Ludwig-Maximilians Universität München. He collaborated extensively with researchers such as Roman Kotecký, Christoph Müller, and Wolfgang König, contributing to foundational work in probabilistic methods and their applications. His teaching included advanced courses on large deviation theory, high-dimensional probability, and mathematical statistical mechanics. Lecture notes from his courses at LMU Munich (2009) and Warwick are widely referenced in academic contexts. Adams tragically passed away on 8th May 2024, leaving a legacy of impactful contributions to probability theory and mathematical physics.
Prof. Dr.-Ing. Robert Fischer has been a full professor for Communications and Signal Theory at the University of Ulm, Germany, since 2011. He specializes in fast digital transmission techniques, including single- and multicarrier modulation, with a focus on precoding and shaping methods for high-rate systems. Research Interests: His work spans Precoding and Signal Shaping , Equalization Algorithms , OFDM Transmission Systems , Low-Complexity Receivers , MIMO and Multiuser Communications , Ultra-Wideband , Information Theory , Channel Coding , Physical-Layer Security , and Compressed Sensing . Recent publications emphasize applications in THz communication, MIMO systems, and compressed sensing. Scientific Recognition: He has received multiple awards, including the Promotionspreis der Technischen Fakultät (1997) Literaturpreis der ITG (2000) Wolfgang-Finkelnburg-Habilitationspreis (2002) Philipp-Reis-Preis (2005) Christian Doppler Laboratory Industrial Award (2007) Best Paper Award at International OFDM Workshop (2012) Teaching: At Ulm University, he teaches Signals and Systems , Communications Engineering , and MIMO Systems . Previously, he taught courses like Kanalcodierung (Channel Coding) at University Erlangen (1998–2010) and short courses at ETH Zürich and TU Berlin.
Dr. Paul Johnson is a Lecturer in Pure Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. He holds a PhD from the University of Michigan (2009) and has held postdoctoral positions at Imperial College London (2009-2011) and Columbia University as an NSF postdoc (2011-2013). Prior to joining Sheffield in 2014, he was an Assistant Professor at Colorado State University (2013-2014). His research focuses on enumerative geometry, exploring the interplay between geometry and combinatorics. Key areas include Gromov-Witten theory, which counts maps from curves to algebraic varieties, and Hilbert schemes of points on surfaces. He is affiliated with the Pure Mathematics cluster and Topology research groups within the school. Dr. Johnson teaches advanced undergraduate and graduate courses such as MAS332 Complex Analysis, MAS341 Graph Theory, and MAS439 Commutative Algebra and Algebraic Geometry. His publications span topics in algebraic geometry, tropical geometry, and combinatorics, with notable contributions to Hurwitz numbers, moduli spaces, and Fock space applications. His work demonstrates a strong emphasis on geometric structures and their combinatorial interpretations, with applications to mathematical physics and topology. He maintains an active research group and contributes to the academic community through teaching and mentorship.
Professor Sarah Whitehouse holds the position of Professor of Pure Mathematics at the University of Sheffield’s School of Mathematical and Physical Sciences. Her academic journey includes a B.Sc. (1990), M.Sc. (1991), and Ph.D. (1994) from the University of Warwick. She gained international experience as a Marie Curie post-doctoral researcher at Université Paris 13 and as a Maître de Conférences at Université d’Artois (Lens), France, before joining Sheffield in 2002. Her research focuses on algebraic topology, particularly the interplay between cohomology theories and algebraic structures like A-infinity and E-infinity algebras. She investigates operations in K-theory and their geometric implications, including connections to number theory. Her work emphasizes homotopy-theoretic approaches to algebraic structures, exploring how associativity and commutativity conditions can be relaxed. Teaching highlights include modules on Combinatorics, Analysis, Vector Spaces, Groups and Symmetries, and Algebraic Topology. She has supervised MMath projects on topics such as Aperiodic Tilings, Integer Partitions, and the Dold-Kan Correspondence. Her pedagogical approach emphasizes conceptual depth and student engagement. Prof. Whitehouse has led grants including EPSRC-funded projects on Rigidity Theorems in Stable Homotopy Theory and Stable/Unstable Operations in K-Theory, as well as Leverhulme research on Rings Defined by Congruences. She is actively involved in the Transpennine Topology Triangle and promotes collaborative research networks like Women in Topology. Her office is located at J6c in the Hicks Building, and she can be reached at s.whitehouse@sheffield.ac.uk .
Vardges Melkonian is an Associate Professor in the Department of Mathematics at Ohio University, part of the College of Arts and Sciences. His academic work bridges theoretical and applied mathematics, with a strong emphasis on optimization and algorithmic problem-solving. Research Interests: Dr. Melkonian specializes in combinatorial optimization, network design, approximation algorithms, and applications of operations research. His research integrates mathematical programming and discrete modeling to solve complex real-world scheduling and allocation problems. These interests are reflected in his extensive publication record spanning sports leagues, hybrid work, exercise routines, and social partitioning. Publication Trends: Over the past decade, his scholarly output has consistently focused on developing integer programming and optimization models for diverse domains—from recreational puzzles like KenKen to large-scale logistical challenges in manufacturing and public policy. His work demonstrates a unifying theme: transforming practical problems into formal mathematical frameworks for efficient solution. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: The available information does not list any students or grant funding. However, his research contributions suggest active engagement in academic mentorship and potential involvement in funded projects, though specifics are not disclosed. Labs and Research Teams: There is no mention of specific labs, research groups, or collaborative teams associated with Dr. Melkonian in the provided content.
Marcel Campen is a Professor at Osnabrück University specializing in Computer Graphics and Geometry Processing. His research focuses on surface parametrization, quad mesh generation, and computational geometry. He has made significant contributions to the field of geometry processing, particularly in developing algorithms for quad layout generation, surface mapping, and mesh repair. His research interests span Computer Graphics, Geometry Processing, Surface Parametrization, Quad Mesh Generation, 3D Modeling, and Mesh Repair. Campen's work addresses fundamental challenges in representing and processing complex geometric shapes, with applications ranging from animation and simulation to reverse engineering and meshing. His research often combines theoretical insights with practical implementations, resulting in algorithms that are both mathematically sound and computationally efficient. Campen's publications demonstrate a strong focus on developing robust and efficient methods for geometry processing. His work on quad layout generation, parametrization techniques, and surface mapping has resulted in several award-winning papers, including Best Paper Awards at SGP 2021 and 2022. His research often bridges theoretical concepts with practical implementations, making his contributions highly influential in both academic and industrial settings. Best Paper Award (1st place) at SGP 2022 Best Paper Award at SGP 2021 Campen has made significant contributions to the field through his doctoral thesis on quad layout generation and numerous publications in top-tier conferences including SIGGRAPH, Eurographics, and SGP. His work on directional field synthesis, similarity maps, and bijective mappings has advanced the state of the art in geometry processing. He has also contributed to practical tools like libQEx for robust quad mesh extraction, demonstrating his commitment to making theoretical advances accessible to practitioners.
Faruk Polat is a Professor of Computer Science at the Department of Computer Engineering, College of Engineering, Middle East Technical University (METU) in Ankara, Turkey. He has been serving at METU since 1994, progressing from Assistant Professor (1994-1996) to Associate Professor (1996-2002) and then to full Professor (2002-present). He received his B.S. in Computer Engineering from METU in 1987, followed by M.S. and Ph.D. degrees from Bilkent University in 1989 and 1994 respectively, with a visiting scholar period at the University of Minnesota (1992-1993). His primary research interests include Artificial Intelligence, Reinforcement Learning, Multiagent Systems, Markov Decision Processes, and Partially Observable Markov Decision Processes. His work significantly contributes to computational biology applications, particularly in gene regulatory network modeling, and to multiagent path finding in virtual simulations and computer games. He has published extensively in top-tier journals and conferences, with recent publications extending into 2025. Professor Polat has supervised numerous graduate students who have gone on to successful careers in academia and industry, including positions at Meta, Google, Apple, Microsoft, and various universities. His research group continues to be highly active, with current PhD students working on reinforcement learning, multiagent path planning, and gene regulatory networks. His scientific contributions span multiple domains, with a clear trajectory from foundational work in multiagent systems to increasingly sophisticated applications in computational biology and autonomous systems. His recent publications indicate continued innovation in reinforcement learning techniques, particularly in handling partial observability and complex path planning problems. NATO Science Scholar at University of Minnesota (1992-1993) Member and Team Leader/Deputy Team Leader of National Informatics Olympiad Group (1995-2011) Professor Polat has advised numerous PhD and Master's students who have secured positions at leading technology companies and academic institutions worldwide. His research has been supported by grants including Tubitak 1001 Project (Grant No. 115G086). His work bridges theoretical advances in artificial intelligence with practical applications in computational biology and autonomous systems.
Selcuk Koyuncu is an Associate Professor in the Department of Mathematics at the University of North Georgia. His work focuses on advanced matrix theory, topology, operator theory, and combinatorial mathematics. He holds a prominent role in the Mathematics academic programs, contributing to both research and education. His research interests include structural analysis of matrices (e.g., Toeplitz, centrosymmetric, doubly stochastic), topological properties of mathematical objects, and applications in fields like evolutionary biology and signal processing. He has published extensively in journals covering matrix theory, combinatorics, and operator theory. Recent work explores topics such as extreme points of matrix polytopes, sub-defect variations in substochastic matrices, and Lie group structures of Toeplitz operators. His contributions have addressed applications ranging from numerical methods to algebraic topology. Dr. Koyuncu has no listed scientific awards or grants in the provided information. He can be contacted at selcuk.koyuncu@ung.edu and is located in the Watkins Academic Building, Gainesville campus.
