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• Mathematical Optimization
• Conic Optimization
• Smart Grids
• +7 more

Miguel Anjos is Professor and Chair of Operational Research at the School of Mathematics, University of Edinburgh. He serves as Deputy Head of School and leads the Data and Decisions research theme. His professional roles extend to Chair of the Mathematical Optimization Society (2023–2025) and Vice-President (International Activities) of INFORMS. He holds Fellowships from the Humboldt Foundation, EUROPT, and the Canadian Academy of Engineering. Research Focus: Mathematical optimization for large-scale nonlinear problems in engineering applications, particularly conic optimization in facility layout and power grid optimization. Collaborations: National Grid ESO, Hydro-Québec, Schneider Electric, Rio Tinto, EDF, and Yeji Data Lab. Datasets: Maintains QAPLIB, FLPLIB, and Jones Benchmark for optimization research. His work addresses smart grid challenges: maximizing grid efficiency, integrating renewables, optimizing energy storage, and enabling customer participation. Former students have secured positions at universities (University of Tennessee, Western Ontario) and tech companies (Amazon, Shopify). Scientific Awards: Fellow of the Humboldt Foundation Fellow of EUROPT Fellow of the Canadian Academy of Engineering He has supervised PhD researchers including Elspeth Adams (2014 MOPTA runner-up), Christian Bingane (2019 CORS Student Paper Competition winner), and Mathieu Tanneau (2018–2021 FRQNT Merit Scholar). His postdocs have contributed to bilevel attacks in AI, energy storage scheduling, and electric vehicle infrastructure planning.

Samuel GutekunstView profile

Assistant Professor

• Data-Driven Decision Making
• Combinatorial Optimization
• Algorithms
• +6 more

Samuel Gutekunst is the John D. and Catherine T. MacArthur Assistant Professor of Data Science at Bucknell University, holding joint appointments in the Departments of Computer Science and Mathematics & Statistics. He joined the university in 2020 and teaches courses in data science, algorithms, operations research, and combinatorics. Education Cornell University, Ph.D. in Operations Research Cornell University, M.S. in Operations Research Cambridge University, MAst in Mathematics Harvey Mudd College, B.S. in Mathematics Research Focus His research centers on combinatorial optimization and data-driven decision-making methodologies, with applied work in detecting gerrymandering patterns and optimizing hotel room allocation systems. Key technical approaches include semidefinite programming and algorithms for complex systems like the Traveling Salesman Problem. Awards and Recognition John D. and Catherine T. MacArthur Assistant Professorship of Data Science (named endowed position) Student Engagement He actively mentors undergraduate students in research projects, software development, and applied consulting initiatives.