Angelos Georghiou

Angelos Georghiou is an Associate Professor of Operations Management at the Department of Business and Public Administration, University of Cyprus. He previously held academic positions as Assistant Professor at McGill University (2016–2019), Post-Doctoral Researcher at MIT (2012–2013), and Postdoctoral Researcher at ETH Zurich (2013–2016). His work bridges computational methods in stochastic and robust optimization with applications in healthcare, energy systems, and operations management.

• Ph.D. in Operations Research, Imperial College London (2012)
• M.Sci. in Mathematics, Imperial College London (2008)

His research focuses on stochastic optimization, robust optimization, and decision rules, addressing challenges in healthcare analytics, energy-efficient control systems, and machine learning integration. Recent publications in Management Science and Operations Research highlight his contributions to decision-dependent information discovery and computational frameworks.

Key trends in his 15 most recent articles include:

• Advancing robust optimization techniques for multistage problems
• Applications in healthcare (psychiatric risk prediction) and energy systems
• Integration of machine learning with stochastic programming
• Development of tractable algorithms for complex decision environments

Scientific Awards:

• Esdras-Minville Best Student Paper Award (2023)

He serves on editorial boards of Operations Research Letters (Area Editor) and Management Science, and collaborates with institutions like MIT, ETH Zurich, and McGill University. His work with undergraduate students includes a 2021 paper in SIAM Undergraduate Research Online.