Dr. Katerina Papadaki

Biography

Katerina Papadaki is an Associate Professor in the Department of Mathematics at the London School of Economics and Political Science. She received her PhD from Princeton University in the Department of Operations Research and Financial Engineering. Her primary research interest lies in developing algorithms to solve discrete deterministic and stochastic optimization problems that arise in dynamic resource allocation settings. These applications include domains such as transportation networks, drone routing, disaster management, radio resource allocation in wireless communication networks, and financial optimization problems. Additionally, she works on game-theoretic problems including search and patrolling games relevant to network security. Katerina is also engaged in applying reinforcement learning to game-theoretic challenges, particularly in the realm of Multiagent Reinforcement Learning (MARL). She serves as an associate editor for Optimization Letters and is a member of professional organizations such as INFORMS and IEEE. Her expertise encompasses discrete optimization (both deterministic and stochastic), dynamic programming, approximate dynamic programming algorithms, and optimizing power-efficient routing and scheduling in mobile networks, as well as drone path optimization and security games.

Research Interests