I start as an assistant professor at the University of Michigan (U-M, Ann Arbor) on January 2021, Department of Aerospace Engineering (Aero). Currently, I am a research scientist at the Massachusetts Institute of Technology (MIT), Department of Aeronautics and Astronautics (AeroAstro), and Laboratory for Information & Decision Systems (LIDS). Before that, I was a post-doctoral associate at AeroAstro and LIDS. I work with Luca Carlone (AeroAstro/LIDS).
I did my PhD at the University of Pennsylvania (UPenn), Department of Electrical and Systems Engineering (2018). During the summer and fall of 2017, I was a visiting PhD student at MIT, Institute for Data, Systems, and Society (IDSS). My PhD advisors were George J. Pappas (UPenn), and Ali Jadbabaie (MIT). I was a Best Student Paper Award finalist, at the 2017 IEEE Conference on Decision and Control (CDC). Currently, my co-authors and I are Best Paper Award finalists in Robot Vision, at the 2020 International Conference on Robotics and Automation (ICRA). Before my PhD, I completed my undergraduate studies at the National Technical University of Athens (NTUA), Department of Electrical and Computer Engineering. My undergraduate thesis advisors were Trifon Koussiouris and Evangelos Markakis.
I care for a trustworthy collaborative autonomy, with emphasis on aerospace systems. I work at the intersection of learning, perception, control, and combinatorial optimization for an Internet of Resilient Robot Teams (IoR2T), where autonomous systems can safely and effectively collaborate with each other despite attacks and failures that result to agent removals and deceptions. I care identifying fundamental optimization limits, and developing provably optimal algorithms and experimentally verified systems. I build on tools of control, perception, machine and statistical learning, game theory, computational complexity, and non-convex and combinatorial optimization. Long term, I plan for a technological convergence between (i) “cyber” capabilities for a distributed intelligence, driven by adaptive learning and resource-aware control and perception algorithms, and (ii) “physical” capabilities of self-reconfigurable robotic and aerospace systems, self-healing materials, and smart devices.
Ultimately, I aim for a trustworthy distributed collaborative autonomy that will reliably support via novel aerospace robot systems critical tasks such as:
- emergency response services, e.g., searching for trapped people in buildings with teams of aerial vehicles;
- transportation, e.g., minimizing congestion with self-driving flying cars;
- environmental health, e.g., predicting disastrous environmental conditions with continuous sensing driven by air-space-sea-land autonomous systems;
- security, e.g., tracking adversarial behavior by air-space-sea-land autonomous systems.
- 05/14/20: Paper LQG Control and Sensing Co-Design accepted to the IEEE Transactions of Automatic Control (TAC). With Luca Carlone, George J. Pappas, and Ali Jadbabaie.
- 05/11/20: Best Paper Award finalist in Robot Vision, International Conference on Robotics and Automation (ICRA) 2020, for the paper Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection (video presentation). With Heng (Hank) Yang, Pasquale Antonante, and Luca Carlone.
- 05/11/20: MIT LIDS|ALL Magazine interview featuring my past research on robust autonomy, Algorithms that protect, Vol. 15.
- 04/14/20: I will join the Aerospace Engineering team at the University of Michigan as an assistant professor on January 2021.
- 03/16/20: Invited seminar, Northeastern University. Seminar title: Foundations of Resilient Collaborative Autonomy: From Robust Combinatorial Optimization to Control and Learning.
- 03/04/20: Invited seminar at the Mechanical Engineering Department, Massachusetts Institute of Technology (MIT). Seminar title: Foundations of Resilient Collaborative Autonomy: From Robust Combinatorial Optimization to Control and Learning.
- 02/28/20: Invited seminar at the School of Engineering and Applied Sciences, Harvard University. Seminar title: Foundations of Resilient Collaborative Autonomy: From Robust Combinatorial Optimization to Perception and Control.
- 02/07/20: Invited seminar at the Aerospace Engineering Department, University of Michigan. Seminar title: Foundations of Resilient Collaborative Autonomy: From Robust Combinatorial Optimization to Perception and Control.
- 10/16/19: Promoted to research scientist at MIT.
- 09/24/19: New paper on Robust and Adaptive Sequential Submodular Optimization. With Ali Jadbabaie and George J. Pappas.
- 09/11/19: New paper on Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection. With Heng (Hank) Yang, Pasquale Antonante, and Luca Carlone.