جست‌وجوی استاد و پژوهشگر

• Mathematics
• Optimal Control
• Number Theory
• +۴ مورد دیگر

Joshua Siktar is a Visiting Assistant Professor at Texas A&M University’s College of Arts & Sciences. His research focuses on optimal control theory, number theory, and numerical analysis, with a particular emphasis on nonlocal equations, composite numbers in arithmetic progressions, and Fibonacci compositions. He contributes to both theoretical and applied mathematics, addressing problems in peridynamics modeling, fractional optimal control, and combinatorial configurations. His work spans topics such as asymptotic compatibility in optimal design problems, Lavrentiev gap phenomena in finite element methods, and Zeckendorf’s theorem applications. He has explored central limit theorems for lattice paths and combinatorial enumeration, often integrating analytical techniques with computational methods. Siktar’s articles reflect a diverse yet cohesive research agenda, balancing foundational mathematics with interdisciplinary applications. He frequently publishes in peer-reviewed journals and maintains a website showcasing his work at people.tamu.edu .

Leonor Santiago Pintoمشاهده پروفایل

استادیار

• Operations Research
• Arc Routing Problems
• Vehicle Routing
• +۷ مورد دیگر

Leonor Santiago Pinto is an Assistant Professor in the Department of Mathematics at ISEG, University of Lisbon, specializing in Operations Research. She has been a faculty member since 1983 and previously taught at the University of Macau (1991–1998). She is actively involved in teaching and coordinates the Master’s program in Quantitative Methods for Economic and Business Decision-Making. Her research focuses on combinatorial optimization, particularly arc routing problems with applications in urban logistics, waste collection, parking enforcement, and conservation biology. She employs mathematical programming and heuristic methods to solve real-world logistical challenges. Her recent publications highlight a strong trend in applying arc routing models to municipal services, with emphasis on solution attractiveness, trip balancing, and hybrid matheuristics. Her work bridges theoretical optimization with practical implementation in urban environments. PhD in Mathematics Applied to Economics and Management, ISEG (2004) She has supervised numerous Master’s theses on topics including waste collection, scheduling, logistics, and optimization in healthcare and sports. She has co-supervised a doctoral thesis and continues to mentor students in quantitative decision-making. Leonor Pinto is affiliated with ISEG’s research initiatives in data and policy modeling, contributing to applied projects in urban sustainability and public service optimization.

• Quantum Computing Optimization
• Interior Point Methods
• Semidefinite Optimization
• +۱۱ مورد دیگر

Professor Tamás Terlaky holds the Alcoa Endowed Chair at Lehigh University 's P.C. Rossin College of Engineering and Applied Science , directing the Quantum Computing and Optimization Laboratory (QCOL) . He maintains Adjunct Professor roles at McMaster University and University of Pannonia , and serves as Visiting Professor at Strathclyde University . Ph.D. & M.Sc. from Eötvös University, Budapest Doctor of Academy of Sciences (Hungary) Habilitation from University of Pannonia Research Interests span Quantum Computing Optimization , Interior Point Methods , High-Performance Computational Optimization , Mathematical Modeling , and Medical Engineering Applications . Specific foci include Proton Therapy Treatment Optimization , Nuclear Reactor Core Reloading , and Service System Optimization . Recent Publications demonstrate expertise in Quantum Interior Point Methods , Quantum Linear System Algorithms , and Combinatorial Optimization , with applications to Medical Physics , Structural Engineering , and Quantum Software Design . Scientific Awards : Fellow of Fields Institute , INFORMS , SIAM , IFORS , and Canadian Academy of Engineering INFORMS Wagner Prize recipient IISE Outstanding Innovation in Service Science award MITACS Mentorship Award Teaching includes courses on Conic Optimization , Interior Point Methods , and Optimization Methods and Software . Currently leading a $2.1M DARPA grant for Quantum Computing Optimization research.

• Artificial Intelligence
• Machine Learning
• Optimisation
• +۱۳ مورد دیگر

Dr. Asef Nazari is a Senior Lecturer in Mathematics at Deakin University's School of Information Technology, Faculty of Science Engineering and Built Environment. With over two decades of experience, his work spans mathematical modeling, optimization, and AI applications in energy systems, supply chains, and cybersecurity. Education : PhD (University of Ballarat), MSc (Amirkabir University of Technology), BSc (University of Tabriz), Graduate Certificate in Higher Education Teaching (Deakin University) Research : Focuses on Electricity network planning with renewables Optimization techniques (non-smooth, integer programming) AI/ML for cryptocurrency markets and causal inference Community battery systems for EV charging Soft happy coloring in network analysis Supply chain and project scheduling optimization Grants : Leads industry collaborations like the REACH Scholarship (2025–2028) and has secured funding from Monash University/ClimateWorks and The Ian Potter Foundation. Teaching : Developed the 'Mathematics for AI' master's unit, emphasizing real-world problem-solving in optimization, operations research, and data analysis. Supervision : Currently guides 8 PhD students in topics like AI-driven authentication security and land-use modeling. Awards : Recognized as a Fellow of the Higher Education Academy (FHEA)

• Probability Theory
• Mathematical Physics
• Random Matrices
• +۶ مورد دیگر

Antoine Dahlqvist is an Associate Professor in the Department of Mathematics at the University of Sussex, affiliated with the School of Mathematical and Physical Sciences. His research focuses on probability theory, mathematical physics, and their intersections with random matrices, free probability, and stochastic analysis. He holds an ORCID identifier (0000-0002-8095-7843) and maintains an academic webpage at http://users.sussex.ac.uk/~and22/. His research interests include advanced topics such as Yang-Mills measure, random matrix theory, combinatorial probability, and representation theory. He has been awarded grants such as the 'Randomness, Symmetry and Free Probability' grant from the London Mathematical Society (2019). Teaching responsibilities include courses like Advanced Partial Differential Equations (2022) and Random Processes (2019-2024), reflecting his expertise in mathematical analysis and stochastic processes. His work often bridges pure mathematics and theoretical physics, with applications to statistical mechanics and quantum field theory.

• Operations Research
• Optimization Algorithms
• Combinatorial Optimization
• +۴ مورد دیگر

Adam Letchford is a Professor in the Department of Management Science at Lancaster University, specializing in Operations Research and Optimization. His research focuses on combinatorial optimization, integer programming, and algorithm design, with particular contributions to vehicle routing, network design, and polyhedral theory. He has authored numerous peer-reviewed articles, including works on clique partitioning polytopes, knapsack problems, and matheuristics. Letchford is actively involved in academic conferences and editorial roles, contributing to the advancement of operational research methodologies and applications in logistics and decision sciences. His work bridges theoretical foundations with practical implementations, addressing challenges in both academic and real-world contexts.

Edwin O'Sheaمشاهده پروفایل

استاد

• Integer partitions
• Geometric axiomatics
• Combinatorics

Edwin O'Shea is a Professor of Pure Mathematics at James Madison University's Department of Mathematics and Statistics, joining in 2011. He holds a PhD in Combinatorics from the University of Washington and a BS in Mathematics/Statistics from University College Cork, Ireland. His research investigates integer partitions as lattice points in polyhedra and modern axiomatizations of classical geometries, including Euclid's Elements. His publications demonstrate expertise in combinatorial optimization and commutative algebra applications to geometric foundations. His recent mathematical contributions explore unification principles in elementary number theory and refined combinatorial theorems using diagrammatic methods.

Pierre Hansenمشاهده پروفایل

استاد

• Operational Research
• Optimization
• Graph Theory
• +۳ مورد دیگر

Pierre Hansen is a Professor at HEC Montréal since 1990, renowned for his contributions to operational research and optimization. He held the Data Mining Chair and directed the GERAD research center from 1996 to 2001. His multidisciplinary work spans over 15 disciplines, focusing on algorithm design, graph theory, and cluster analysis. He is a Fellow of the Royal Society of Canada (1999) and recipient of the Grand Prize for Excellence in Research (2013). Research interests include variable neighborhood search algorithms, graph spectra, and mathematical programming applications. His articles often explore optimization methods such as column generation, integral simplex decomposition, and geometric optimization problems like circle packing. His work impacts fields like data mining, network analysis, and computational geometry, with contributions to AutoGraphiX —a system for generating conjectures in graph theory. Hansen’s research integrates theoretical advancements with practical applications in operations research and decision sciences.

• Operations Research
• Optimization
• Artificial Intelligence
• +۳ مورد دیگر

Zacharie ALES is a Professor at ENSTA Paris within the Applied Mathematics Unit (UMA), holding a HDR (Habilitation à Diriger des Recherches). He is also part of the OC team at the CEDRIC laboratory. Previously, he served as a Maître de Conférences (Associate Professor) at the University of Avignon (2015-2017). His research focuses on optimization, operations research, and their intersections with artificial intelligence, including robust optimization, polyhedral methods, and classification tree models. He has developed AutoExpe.jl , a Julia package for automating numerical experiments. Research Highlights : Advances in p-center problem formulations and exact algorithms Optimal classification tree models with robust optimization techniques Integration of machine learning with optimization for interpretable models Awards : 2015 ROADEF Young Researcher Award. Labs/Teams : Active in the OC team (CEDRIC) and the UMA unit at ENSTA Paris, contributing to interdisciplinary projects in network optimization and drone-based communication systems.

Jose Fernandez Hernandezمشاهده پروفایل

استاد

• Location Science
• Competitive Facility Location
• Global Optimization
• +۴ مورد دیگر

José Fernández Hernández is a Full Professor at the Department of Statistics and Operations Research, Faculty of Mathematics, University of Murcia (Spain). His academic career spans over two decades with significant contributions to location science, global optimization, and interval analysis. Ph.D. in Mathematics (1999), University of Murcia (Thesis: "Nuevas técnicas para el diseño y resolución de modelos de localización continua") Member of Operations Research Group (IOMUR), Spanish Society of Statistics and Operations Research (SEIO), and Euro Working Group on Locational Analysis (EWGLA) Research Interests: Specializing in Location Science where he develops models for optimal facility placement considering transportation costs, market share capture, and customer behavior. His work extends to Global Optimization techniques using interval analysis to solve nonlinear problems with multiple local optima, and Multiobjective Optimization frameworks for balancing conflicting objectives in spatial decision-making. Article Trends: His publications demonstrate a progression from geometric decomposition methods (2000s) to advanced competitive facility location models (2010s) parallel evolutionary algorithms (2010-2020) MINLP formulations for firm expansion (2015-2024) probabilistic consumer choice modeling attractiveness adjustment in existing facilities Stackelberg games in facility location Grants & Projects: Over 20 funded projects including national grants (Ministerio de Ciencia e Innovación) 1997-2024 regional projects (Fundación Séneca, Junta de Andalucía) 1998-2022 international cooperation with Hungary 2002-2006 Coordinating research networks on location analysis and computational methods. Collaboration: Regularly works with researchers from University of Almería University of Szeged (Hungary) International Federation of Operational Research Societies with over 50 co-authored publications.

Vidhu S. Prasadمشاهده پروفایل

استاد

• Ergodic theory
• Dynamical systems
• Information theory
• +۲ مورد دیگر

Professor Vidhu S. Prasad is a faculty member at the University of Massachusetts Lowell, affiliated with the Department of Mathematics & Statistics within the Kennedy College of Sciences. He holds the rank of Professor and specializes in Ergodic Theory, Dynamical Systems, Information Theory, Coding, and Stochastic Processes. His research delves into abstract measure-theoretic dynamics, including invariant measure analysis, transformation properties, and applications of combinatorial and algebraic techniques. Dr. Prasad's work spans over four decades, with notable contributions to weakly wandering sequences, ergodic tiling problems, and chaotic homeomorphisms. His articles often explore foundational questions in ergodic theory, such as the existence of finite invariant measures and the universality of transformation templates. He has collaborated with prominent researchers like S. Alpern, S. Eigen, and A. Hajian, producing influential works like Weakly Wandering Sequences in Ergodic Theory (2014). His teaching responsibilities include courses like Engineering Differential Equations and Calculus III, emphasizing rigorous problem-solving and theoretical foundations. While his profile does not explicitly list awards, his extensive publication record reflects sustained academic engagement. He maintains an active research agenda with a focus on infinite measure systems and combinatorial ergodic methods.

• Operations Research
• Optimization
• Electric Vehicle Scheduling
• +۳ مورد دیگر

Raka Jovanović is a Researcher at Singidunum University , affiliated with the Faculty of Informatics and Computing . His work bridges theoretical algorithm design with practical applications in transportation, energy systems, and optimization. Bachelor's, Matematički fakultet - Beograd (2002) Postgraduate, Matematički fakultet - Beograd (2007) Doctorate, Matematički fakultet - Beograd (2016) His research focuses on metaheuristics and matheuristics for complex optimization problems, including: Knapsack problems with penalty constraints Electric vehicle charging infrastructure planning Graph-based combinatorial optimization Energy management in extreme climates Integration of machine learning with traditional algorithms Recent publications demonstrate a strong emphasis on Fixed Set Search as a unifying methodology across diverse domains. Journal articles in 2024-2025 explore its application to: Maximum Diversity Problem Multidimensional knapsack Charging station placement Multi-objective optimization Conference papers from 2023-2024 highlight collaboration with international teams on: EV fleet scheduling Desert climate agricultural energy systems Max-Cut and disjoint dominating sets problems Waterway transport prediction models

• Combinatorics
• Number Theory
• Discrete Mathematics
• +۳ مورد دیگر

Pavel Shuldiner is a Research Fellow (Postdoctoral Fellow) at the University of Waterloo, working under the supervision of Wayne Oldford. His appointment spans from May 1, 2023, to October 31, 2024. He can be reached at pavel.shuldiner@uwaterloo.ca and is located in room M3 3102. Shuldiner's research focuses on advanced combinatorial problems, number theory, and discrete mathematics. His work explores topics such as clique covers in graph theory, modular arithmetic properties of partitions, and noncommutative symmetric functions. His recent studies include investigations into Bernoulli sums and their probabilistic interpretations, as well as the structural characterization of colored m-ary partitions. His publications reflect a deep engagement with theoretical mathematics, spanning from extremal graph theory to algebraic combinatorics. He has contributed to understanding residue classes of partition numbers and developing Pieri rule-based frameworks for Schur-like bases in noncommutative symmetric function spaces. Shuldiner has not been listed as having formal advisees, but his research aligns with collaborative efforts in combinatorics and theoretical computer science. His work is supported through his postdoctoral fellowship under Oldford’s supervision, though specific grants are not detailed in the provided information.

Kevin Woodsمشاهده پروفایل

استاد

• Mathematics
• Theoretical Computer Science
• Integer Points in Polyhedra
• +۴ مورد دیگر

Kevin Woods is a Professor of Mathematics at Oberlin College, where he has taught since 2006. His research focuses on the intersection of mathematics and theoretical computer science, particularly integer points in polyhedra, generating functions, and combinatorial problems. He has authored numerous publications in prestigious journals and conferences, including Discrete & Computational Geometry, SIAM Journal on Discrete Mathematics, and the American Mathematical Monthly. His work often involves collaborations with researchers like Tristram Bogart and John Goodrick, exploring topics such as numerical semigroups, Presburger arithmetic, and quasi-polynomial behavior. Woods has also contributed to expository writing, including a book review on symmetry in mathematical exploration. Educated at Wake Forest University (undergraduate), the University of Michigan (PhD), and as a postdoc at UC Berkeley, Woods emphasizes both research and teaching. He has developed notable lecture notes for courses like 'The Mathematics of Social Choice' and has taught a wide range of undergraduate and graduate mathematics courses at Oberlin College. His GitHub repository highlights computational tools related to his research on numerical semigroups. Woods' research spans algebraic combinatorics, discrete geometry, and algorithmic mathematics, with applications to problems in optimization and computational complexity. His contributions to parametric Presburger arithmetic and quasi-polynomial counting methods have had significant impacts in both pure and applied mathematical domains.

Raimar Wulkenhaarمشاهده پروفایل

استاد

• Non-perturbative quantum field theory
• Noncommutative geometry
• Renormalisation group
• +۳ مورد دیگر

Prof. Dr. Raimar Wulkenhaar is a Professor of Mathematics at the University of Münster's Faculty of Mathematics and Computer Science, affiliated with the Mathematical Institute. He is an investigator in the Mathematics Münster cluster and a member of CRC 1442 Geometry: Deformations and Rigidity. His research focuses on operator algebras and mathematical physics, particularly non-perturbative quantum field theories, noncommutative geometries, and renormalization. Wulkenhaar's work bridges abstract algebraic structures with physical models, such as matrix models and tensor field theories. He holds a leadership role in interdisciplinary projects, including the CRC 1442's D03 project on integrability and the Mathematics Münster focus areas T2 (moduli spaces) and T7 (field theory and randomness). His research emphasizes noncommutative quantum field theories, where he explores exact solutions and topological recursion techniques. Key collaborations include work on Kontsevich models, Calogero-Moser systems, and renormalization group methods. Recent publications highlight advancements in blobbed topological recursion, integrable systems, and stochastic quantization. Wulkenhaar frequently publishes in top journals like Communications in Mathematical Physics and Journal of Geometry and Physics . His work often intersects with algebraic geometry, combinatorics, and stochastic processes, reflecting a broad yet deep engagement with mathematical physics. He has contributed to foundational texts, including a chapter in Advances in Noncommutative Geometry , and has advised numerous collaborative research initiatives. Despite no explicitly listed awards, his prolific output and project leadership underscore his scholarly impact.