معرفی
Professor Miguel Anjos is Chair and Professor of Operational Research at the University of Edinburgh's School of Mathematics, with prior academic roles in Canadian engineering departments. His research focuses on optimization applications in power systems, smart grids, and predictive maintenance. He emphasizes bridging theoretical optimization with practical engineering challenges, advocating for operational research as a versatile tool for real-world problem-solving. As former President of the INFORMS Energy Section (2018–2020), he drives interdisciplinary collaboration in energy systems. His work spans mathematical abstraction and industrial applications, including electric vehicle charging infrastructure, hydropower scheduling, and facility layout optimization.
Education: Holds a PhD in optimization, with foundational work in mathematical programming. His theoretical contributions, such as semi-definite optimization, have been applied to practical domains like power flow analysis. Collaborations with engineers highlight his cross-disciplinary approach.
Research interests include optimization algorithms for energy networks, maintenance strategies under uncertainty, and decision-focused data acquisition. Recent projects address challenges in smart grid design, water supply systems, and transportation infrastructure. He advocates for the integration of machine learning and stochastic modeling in operational research.
Leadership and Awards: Recognized for leadership in energy-related operational research through his INFORMS presidency. His work has influenced policy and industry practices in Canada and beyond.
Grants and Labs: Engages in applied research funded by energy and infrastructure sectors. Collaborates with industry partners on projects like EV charging station optimization and grid reliability improvements.
