Professor Bo Chen is a leading academic in Operational Research and Management Science at the University of Warwick's Warwick Business School (WBS). He holds a Higher Doctorate (lifetime achievement award) and is a Fellow of the Academy of Social Sciences. His research bridges ORMS, economics, and computer science, focusing on combinatorial optimization, scheduling, game theory, and AI foundations. PhD in Operations Research and Econometrics from Erasmus University Rotterdam Former Senior ESRC Management Research Fellow Visiting Professor at Stanford University Chair Professor at Tsinghua University Research interests include scheduling algorithms, mechanism design, and fairness in resource allocation. Key contributions include randomized strategyproof mechanisms and interdisciplinary auction theory integration. Teaching modules include Mathematical Programming and Statistics for BSc Accounting and Finance students. His 150+ publications span operational research methods, algorithmic game theory, and logistics optimization. Awards include the FAcSS fellowship and Warwick's Higher Doctorate.
Franco Ruzzenenti is an Assistant Professor (tenure track) at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Integrated Research on Energy, Environment & Society (IREES). He holds additional roles as Programme Director of the MSc 'Energy & Environmental Sciences' and Director of Education at the Energy & Sustainability Institute Groningen (ESRIG). His research focuses on complex systems, network theory, and energy sustainability, with particular emphasis on topics like energy efficiency, rebound effects, and carbon implications of global systems. Affiliations: University of Groningen, Faculty of Science and Engineering, IREES, ESRIG Expertise: Energy Modelling, Industrial Ecology, Climate Change, Sustainable Development Goals Ruzzenenti’s work bridges environmental and socio-economic systems, addressing challenges such as fossil carbon accumulation in the technosphere, sovereign wealth funds’ carbon footprints, and the dynamics of grid-scale battery storage in the EU. He employs interdisciplinary methods, including agent-based modeling, econometrics, and network theory, to analyze energy transitions and policy impacts. His research outputs span high-impact journals like Cell Reports Sustainability , Nature Climate Change , and Energy Policy , reflecting contributions to global sustainability science. Collaborations include projects funded by the EU and international partnerships on energy systems and environmental policy.
Amarjit Budhiraja is a Professor in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill (UNC) and serves as Senior Associate Dean for Academic and Faculty Affairs. He holds a Ph.D. from UNC under Gopinath Kallianpur, with postdoctoral research at Iowa State University and Brown University. His research focuses on stochastic analysis, large deviations, stochastic control, and related fields. He co-authored the book *Analysis and Approximation of Rare Events* with Paul Dupuis. Affiliations: College of Arts and Sciences, UNC; Probability Group at UNC. Education: Ph.D. in Statistics (1994), UNC-Chapel Hill. Postdoc Mentors: Wolfgang Kliemann (Iowa State), Harold Kushner (Brown). His research interests include large deviations theory, stochastic networks, stochastic partial differential equations, and random graphs. He has advised numerous Ph.D. students and postdoctoral fellows, contributing to advancements in stochastic processes and their applications. Budhiraja’s work spans theoretical and applied stochastic systems, with emphasis on rare event analysis, ergodic control, and interacting particle systems. He is an Associate Editor for multiple journals, including *Mathematics of Operations Research* and *SIAM Journal on Control and Optimization*. Advising & Grants: Supervised over 20 Ph.D. students and hosted postdocs from institutions like Stanford, Brown, and Georgia Tech. His grants and collaborations focus on stochastic modeling, queueing theory, and large deviations. Labs/Teams: Engaged with interdisciplinary teams in stochastic analysis, particularly in applications to networks, molecular biology, and data science. Active in editorial roles and conference organization within probability and applied mathematics communities.
Ioana-Oriana Bercea is an Assistant Professor at the Division of Theoretical Computer Science (EECS), KTH Royal Institute of Technology, and a member of the Digital Futures Faculty. She holds a PhD in Computer Science from the University of Maryland, with prior postdoctoral research at the IT University of Copenhagen and Tel Aviv University. Her research focuses on Theoretical Computer Science, including Data Structures (e.g., Bloom filters), Randomized Algorithms (e.g., hashing), and Computational Geometry (e.g., TSP). Education : PhD in Computer Science, University of Maryland (advisor: Samir Khuller) Master's in Computer Science, University of Maryland (advisor: Aravind Srinivasan) Bachelor of Science in Mathematics (Honors) and Computer Science, University of Chicago Research Interests : She explores scalable data management (e.g., Bloom filters), algorithm design for clustering and hashing, and geometric optimization problems. Her work emphasizes theoretical foundations with practical applications. Key Achievements : VR Starting Grant (2024) for the project "DataTech" Best Artifact Award at ACM SIGMOD 2023 for the InfiniFilter paper Advising & Grants : Advises PhD student Jonas Østergaard Klausen (joint with Mikkel Thorup and Jacob Holm) Lead researcher on grants exploring data storage and algorithmic efficiency Labs & Teams : Active in KTH's Theoretical Computer Science group and collaborates with the Digital Futures initiative to advance cross-disciplinary digital technologies.
Travis Whetsell is an Assistant Professor in the Jimmy and Rosalynn Carter School of Public Policy at Georgia Institute of Technology. His research focuses on applying network science and quantitative methods to public policy challenges, with an emphasis on democratic governance, international research collaboration, and pragmatic philosophy in administration. Education: Ph.D. Public Policy and Management, Ohio State University M.P.A., Texas State University B.A. Political Science, Texas State University Research Interests: Whetsell’s work bridges philosophical pragmatism with practical policy analysis. He explores how network structures influence governance, resilience planning, and international scientific collaboration. Recent studies examine stakeholder collaboration in disaster resilience, gender dynamics in local government networks, and the evolution of global research partnerships. Key Research Trends: His articles address network interventions in public administration, the role of democratic structures in science policy, and methodological innovations in social network analysis. Recent work emphasizes data-driven approaches to align stakeholder values in complex policy environments. Advising & Grants: While no specific grants or advisees are listed, his collaborative projects suggest involvement in multi-institutional research teams. He frequently publishes with experts like Caroline Wagner (Ohio State) and Hang Ren (Virginia Tech). Labs/Teams: Engaged in interdisciplinary networks studying governance, science policy, and community resilience. Active in Georgia Tech’s Ivan Allen College of Liberal Arts research initiatives.
Dr. Philippe Blaettchen is an Assistant Professor in Management Analytics at Bayes Business School (City, University of London) and a Visiting Assistant Professor of Management Science & Operations at London Business School. His research focuses on leveraging emerging technologies to optimize supply chain networks and achieve sustainability goals. He holds a PhD from INSEAD and dual master's degrees from Karlsruhe Institute of Technology (KIT) and Linköping University, with undergraduate training from KIT. His work bridges operations research, supply chain management, and sustainable operations. Education: PhD in Technology & Operations Management (INSEAD, 2021); MSc in Management (INSEAD, 2018); Dual MSc in Industrial Engineering (KIT/Linköping University, 2016); BSc in Industrial Engineering (KIT, 2014). Research interests include supply chain network design, technology adoption barriers, and optimization under uncertainty. His recent work emphasizes traceability technologies, inventory management in complex networks, and business model innovation. He has published in top journals like Management Science and Manufacturing & Service Operations Management. Awards include the 2022 TIMES Doctoral Dissertation Award and the 2019 INSEAD Outstanding Tutor Award. He has also secured grants for research on human-AI collaboration and sustainable operations. Teaching: Designs and teaches courses in Operations Management, Business Analytics, and Deep Learning. Supervised over 40 student projects across BSc, MSc, MBA, and Executive MBA programs. Active in curriculum development for new analytics programs at Bayes. Labs/Teams: Leads Bayes' Operations Management seminar series and participates in the sustainability taskforce. Collaborates with researchers at Georgia Tech, INSEAD, and other institutions on supply chain network models and technology diffusion strategies.
Stephen Dirk Bjørn Wolthusen is a Professor in the Department of Information Security and Communication Technology at NTNU (Norwegian University of Science and Technology) located in Gjøvik. His research focuses on cybersecurity, smart grids, critical infrastructure protection, and adversarial attack analysis in cyber-physical systems. He has published extensively in top-tier venues like IEEE Transactions, LNCS, and IFIP series. Wolthusen's work spans theoretical frameworks (e.g., π-calculus modeling, queueing networks) and applied domains such as SCADA systems, smart grid resilience, and IoT security. He has collaborated on projects involving tactical service-oriented architectures, software-defined networks, and privacy-preserving healthcare systems. His recent research emphasizes adversary-resistant topology design, dynamic policy enforcement, and resilience metrics for critical infrastructure. Key contributions include frameworks for threat modeling in industrial control systems, formal verification of CPS protocols, and analysis of adversarial attacks on communication protocols like IEC 61850. His work bridges theoretical computer science with practical engineering challenges in cybersecurity and networked systems.
Johan van Leeuwaarden is a Full Professor specializing in stochastic operations research, with expertise in queueing theory, load balancing, and random graph analysis. His work develops mathematical models for large-scale systems like cloud networks and service industries. He analyzes heavy-traffic regimes and distributionally robust optimization for systems with uncertain parameters. Current research includes appointment scheduling under service time uncertainty and learning algorithms for dynamic resource allocation.
Hyunyoung Lee is a Senior Lecturer in the Department of Computer Science & Engineering at Texas A&M University, College Station, TX. She holds a Ph.D. from Texas A&M University (2001), M.A. from Boston University (1998), and B.S./M.S. from Ewha University, Seoul, Korea (1987/1992). Her research focuses on distributed algorithms, wireless mobile computing, and fault-tolerant systems, with contributions to dynamic distributed systems, sensor networks, and security protocols. Her educational background includes advanced degrees in Computer Science across institutions in Korea and the U.S. Teaching responsibilities include courses like Discrete Structures (CSCE 222) and Programming Languages (CSCE 314). She is a co-author of the textbook Discrete Structures (Springer, 2025) and serves as a Senior Member of IEEE and editorial board member of the International Journal of Parallel, Emergent and Distributed Systems. Award highlights include recognition for her editorial contributions and sustained academic leadership. Her publications span theoretical computer science, distributed systems, and algorithm design, emphasizing practical solutions for dynamic and fault-prone environments.
Kirill Cherednichenko is a Professor in the Department of Mathematical Sciences at the University of Bath. His research focuses on multi-scale asymptotic analysis of materials and media, particularly the effective behavior of partial differential equations (PDEs) and their applications to metamaterials. He is affiliated with the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) and the Centre for Nonlinear Mechanics. His work bridges operator theory, calculus of variations, and applied mathematics, addressing challenges in homogenization, high-contrast media, and wave propagation phenomena. Cherednichenko has led eight research projects funded by institutions like the EPSRC and the London Mathematical Society, exploring topics such as quantitative tools for upscaling micro-geometry, resolvent estimates in periodic problems, and collaborative research with international partners. His research interests include the asymptotic analysis of operator families, functional models for boundary-value problems, and the mathematical foundations of metamaterials. His work has produced over 50 research outputs, with recent contributions emphasizing norm-resolvent convergence, operator-norm estimates in elastic and electromagnetic systems, and the spectral properties of composite materials. He has organized major academic events, including the British Mathematical Colloquium 2023 and the LMS-Bath Symposium, and has supervised four doctoral students. His research underscores the interplay between physical phenomena and advanced mathematical techniques, contributing to both theoretical and applied domains of mathematical physics.
Cecile Mailler is a Professor in Probability at the University of Bath, affiliated with the Probability Group (Prob-L@B). She holds a PhD from the Laboratoire de Mathématiques de Versailles (2013), supervised by Brigitte Chauvin and Danièle Gardy. Previously, she was an EPSRC Postdoctoral Fellow (2018-2021) and a postdoc at Prob-L@B (2013-2016). Her research focuses on branching processes, random trees, reinforcement models, Pólya urns, random networks, and statistical physics. She serves as an Associate Editor for the Applied Probability Trust and Stochastic Processes and Their Applications . Research interests include: Branching processes and random trees Reinforcement mechanisms and stochastic approximation Random networks and preferential attachment Statistical physics models (zero-range processes, condensation) Satisfiability and analytic combinatorics Recent work emphasizes phase transitions in random trees, reinforcement learning algorithms, and applications to network dynamics. She has organized conferences on random walks and stochastic processes, including a 2026 event at CIRM. Her teaching includes mini-courses on Pólya urns and probabilistic combinatorics at international summer schools. Grants and fellowships include the EPSRC Postdoctoral Fellowship (2018-2021) and contributions to projects on stochastic networks and condensation phenomena. She advises PhD students in areas like multi-city ants processes and Pólya urn dynamics. Her work is supported by collaborations with institutions worldwide, including ETH Zurich, LMU Munich, and the Banff International Research Station.
Dr. András Máthé is an Associate Professor at the Mathematics Institute of the University of Warwick, UK. He holds office C2.25 and can be contacted at A.Mathe@warwick.ac.uk . His research focuses on geometric measure theory, fractal geometry, and real analysis, with notable contributions to topics such as Hausdorff dimension, measurable equidecompositions, and fractal configurations. He has received prestigious grants including the Leverhulme Early Career Fellowship (2012–2015) and the EPSRC Postdoctoral Fellowship (2009–2012). His academic engagements include teaching courses like MA260 Norms, Metrics and Topologies and MA3G8 Functional Analysis II during 2020/21. His work often bridges pure mathematics with applications in geometry and analysis, with a particular emphasis on measure-theoretic problems and their structural implications. Scientific achievements include groundbreaking results such as the measurable circle squaring theorem (Annals of Mathematics, 2017) and studies on fractal intersections (Ergodic Theory and Dynamical Systems, 2010). His research explores foundational questions in geometric measure theory, often yielding insights into the interplay between dimension, measure, and topological structures. Grants & Awards: Leverhulme Early Career Fellowship (2012–2015), EPSRC Postdoctoral Fellowship (2009–2012). Key Research Themes: Geometric measure theory, fractal geometry, real analysis, dimension theory, equidecomposition problems.
Richard Sharp is a Professor of Mathematics at the University of Warwick, specializing in Ergodic Theory and Dynamical Systems with applications to geometry, group theory, and noncommutative geometry. He holds a PhD from the University of Warwick (1990), following undergraduate studies at Imperial College London (BSc 1987) and postgraduate work at the same institution (MSc 1988). His research explores topics such as Anosov flows, closed geodesics, and zeta functions, with a focus on geometric and statistical properties of dynamical systems. Sharp's work includes significant contributions to the understanding of orbit counting, growth rates in hyperbolic groups, and large deviations in dynamical systems. He has secured major research grants, including EPSRC funding for projects like 'Critical Exponents and Thermodynamic Formalism for Geometrically Infinite Spaces' (2017–2020) and 'Hyperbolic Dynamics and Noncommutative Geometry' (2012–2015). He collaborates extensively with institutions across the UK and internationally, contributing to networks like the LMS-funded Ergodic Theory Meetings. His teaching responsibilities include modules like MA424 Dynamical Systems. He maintains an active seminar culture at Warwick and participates in collaborative workshops on ergodic theory and geometric dynamics. Sharp’s publications span high-impact journals such as Inventiones mathematicae , Communications in Mathematical Physics , and Mathematische Annalen , reflecting his deep engagement with both pure and applied aspects of dynamical systems and geometry.
Anna Gál is a Professor in the Department of Computer Science at the University of Texas at Austin, part of the College of Natural Sciences. She is a member of the Algorithms and Computational Theory (ACT) group and teaches core theoretical computer science courses such as Algorithms and Complexity, Theory of Computation, and Analysis of Boolean Functions. Her Ph.D. in Computer Science was awarded by the University of Chicago in 1995 under the supervision of János Simon. Ph.D. in Computer Science, University of Chicago, 1995 Her research focuses on foundational aspects of computation, including computational complexity, communication complexity, coding theory, circuit complexity, and combinatorics. She investigates lower bound methods and the structural properties of Boolean functions, often employing algebraic and combinatorial techniques. Her work has significant implications for understanding the limits of efficient computation. The recent publications demonstrate a consistent focus on complexity measures of Boolean functions, circuit lower bounds, communication models, and coding theory. There is a strong emphasis on sensitivity, block sensitivity, formula size, and locally decodable codes, reflecting deep engagement with open problems in theoretical computer science. Her scientific achievements have been recognized through prestigious awards: Machtey Award for best student paper at FOCS 1991 EATCS best paper award at Track A of ICALP 2003 She has successfully advised multiple Ph.D. students, including Jeff Ford, Vladimir Trifonov, Andrew Mills, Keith Jing-Tang Jang, and Siddhesh Chaubal, whose theses contributed to multiparty communication complexity, circuit complexity, and locally decodable codes. While specific grant details are not listed, her sustained publication record in top venues suggests active funding support. Her role in the ACT group indicates collaboration with other leading researchers in algorithms and complexity. Anna Gál leads a research program centered on the Algorithms and Computational Theory group at UT Austin, mentoring students and contributing to the advancement of theoretical computer science through rigorous mathematical analysis and innovative problem-solving.
Iryna Malacina is a Post-doctoral researcher (Research Fellow) at the Department of Business Studies, LUT Business School, LUT University, Finland. She earned her D.Sc. in Economics and Business Administration from LUT University in 2023. Education: D.Sc. in Economics and Business Administration, LUT University, 2023 Her research centers on adaptive behaviors of firms within supply networks, with specialized expertise in innovation dynamics and decoupling firm growth from carbon emissions. She employs advanced methodologies including Exponential Random Graph Modeling (ERGM), topic modeling, surveys, and in-depth case studies. Her work spans strategy and management, industrial relations, marketing, technology management, and international business. Analysis of her publication record reveals dominant research trajectories in sustainable supply chain innovation, public procurement value creation, and network-level decarbonization strategies. Her work consistently bridges theoretical frameworks with practical applications in complex supply network environments. Scientific Awards: IPSERA Lelio and Mario Raffa Best Doctoral Dissertation Award (2024) Teemu Aho Dissertation Award for outstanding dissertations (2024) EurOMA Harry Boer Best Student Paper Award (2023) Best Paper Award at IPSERA (2023) Dr. Malacina serves on the Editorial Review Board Developmental Program at the Journal of Supply Chain Management and holds a position on the IPSERA Executive Committee (2024). She has conducted 20 peer reviews across five major journals, including 7 reviews for Journal of Purchasing and Supply Management and 6 for Journal of Supply Chain Management. Her academic service extends through active participation in professional networks and methodological advancement in supply chain research, demonstrating strong leadership in emerging sustainability-focused operations management scholarship.
