Filippos Fotiadis

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Postdoctoral Researcher,
The Oden Institute for Computational Engineering & Sciences,
The University of Texas at Austin
Peter O’Donnell Building, Office 5.412,
201 E 24th St, Austin, TX 78712, USA
Email: ffotiadis@utexas.edu

About me

I am a postdoc at the Oden Institute for Computational Engineering & Sciences at UT Austin, working with Prof. Ufuk Topcu. I received my PhD in Aerospace Engineering (2024), as well as the MSc Degrees in Aerospace Engineering (2022) and Mathematics (2023), from Georgia Tech under the supervision Prof. Kyriakos G. Vamvoudakis. Previously, I obtained my Diploma (joint BSc and MSc degree) in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (2018), where I was advised by Prof. George A. Rovithakis.

You can find my CV here.

Research

My primary research interests lie in the intersection of game theory, control theory, and machine learning, with applications to the security, autonomy, and verification of cyber-physical systems. I develop algorithms that provably enable cyber-physical systems to operate safely and securely in uncertain and adversarial environments.

Teaching

I was the instructor of

  • AE8750/8751 Robotics Research Fundamentals, Department of Aerospace Engineering, Georgia Institute of Technology

News

  • [06/2024] Our paper "Convergence Rates of Online Critic Value Function Approximation in Native Spaces" was accepted for publication in IEEE Control Systems Letters.

  • [04/2024] I was selected as a Rising Star in Cyber-Physical Systems for 2024 (16% acceptance rate).

  • [04/2024] Our paper "On the Effect of Clock Offsets and Quantization on Learning-based Adversarial Games" was accepted for publication in Automatica.

  • [01/2024] I was selected as an Outstanding Reviewer of IEEE Control Systems Letters for 2023.

  • [10/2023] Our paper "Data-Driven Actuator Allocation for Actuator Redundant Systems" has been accepted for publication in IEEE Transactions on Automatic Control.

  • [10/2023] Our paper "Input-Constrained Prescribed Performance Control for High-order MIMO Uncertain Nonlinear Systems via Reference Modification" has been accepted for publication in IEEE Transactions on Automatic Control.

  • [08/2023] Our paper "Learning-based actuator selection for increased attack resilience of uncertain systems" has been accepted for publication in Automatica.