Dr Spyridon Pougkakiotis is a Lecturer in Optimisation in the Department of Mathematics, King’s College London.

His research focuses on several aspects of continuous optimisation and its applications in operational research, engineering and data science. Specifically, he is interested in the development of robust and efficient algorithms for large-scale deterministic optimisation, stochastic optimisation, and risk-aware decision-making.

Spyridon received a BSc in Informatics and Telecommunications from the National and Kapodistrian University of Athens (2016). Afterwards, he received an MSc in Operational Research with Computational Optimisation from the School of Mathematics of the University of Edinburgh (2017), where he stayed and completed his PhD in Optimisation (2022). He then joined the Electrical Engineering Department of Yale University as a postdoctoral research associate (2022-2023), before joining the University of Dundee as a Lecturer in Mathematics (2023-2024). 

Throughout his career, Spyridon has received several scholarships and awards, including the 2022 OR Society Doctoral Award (for the “Most Distinguished Body of Research leading to the Award of a Doctorate in the field of Operational Research”). He was also a finalist for the 2024 Euro Doctoral Dissertation Award.

Research interests

• Large-scale deterministic optimisation
• Stochastic optimisation
• Risk-aware decision-making
• Optimisation for operational research, engineering and data-science applications

Spyridon is interested in the development of efficient and robust algorithms for the solution of nonlinear (possibly non-smooth and/or stochastic and/or black-box) optimisation problems, with applications in operational research, engineering, and data science.

Further information

• Personal website