Spyridon Pougkakiotis

Lecturer in Optimization @ King's College London

About me

Welcome! I am a Lecturer in Optimization at the Department of Mathematics of King's College London. Previously, I was a Lecturer in Mathematics at the School of Science and Engineering of the University of Dundee, and before that, a postdoctoral research associate at Yale University, hosted by Dr. Dionysis Kalogerias.

I received my PhD in Optimization and Operational Research from the University of Edinburgh, where I was advised by Prof. Jacek Gondzio (primary) and Prof. John W. Pearson (secondary). Prior to this, I received a BSc in Informatics and Telecommunications from the University of Athens, and an MSc in Operational Research with Computational Optimization from the University of Edinburgh.

Research interests: My research interests lie in the fields of continuous optimization, computational mathematics, and risk-aware decision making. I focus on the analysis and development of models and associated efficient algorithms for the solution of nonlinear (possibly non-smooth and/or stochastic and/or black-box) optimization problems, with applications in operational research, data science, and engineering.

Selected papers:
1. Strong duality in risk-constrained nonconvex functional programming, arXiv preprint (2023)
  - D. Kalogerias, S. Pougkakiotis
2. Model-free learning of two-stage beamformers for passive IRS-aided network design, IEEE Transactions on Signal Processing, (2023)
  - H. Hashmi, S. Pougkakiotis, D. Kalogerias
3. An interior point-proximal method of multipliers for convex quadratic programming, Computational Optimization and Applications, 78 (2021)
  - S. Pougkakiotis, J. Gondzio