I am an assistant professor with the
, Department of Electrical & Computer Engineering (ECE) . Michigan State University (MSU)
My research is in the areas of
machine learning, reinforcement learning, optimization, signal processing, sequential decision making, and risk, and their applications in autonomous networked systems, wireless communications, security and privacy, and system trustworthiness.
I also share common interest with my partner, Ioanna, in the area of urban information systems. To learn more about Ioanna’s research, click
Before joining MSU, I was a postdoctoral researcher with the
Department of Electrical and Systems Engineering, University of Pennsylvania, hosted jointly by Profs. George J. Pappas and Alejandro Ribeiro, and affiliated with GRASP, Alelab, and PRECISE. Prior to that, I was a postdoctoral research associate with the Department of Operations Research and Financial Engineering (ORFE), Princeton University, hosted by Prof. Warren B. Powell, and affiliated with CASTLE Labs. I received the PhD degree in ECE from Rutgers University, where I worked with Prof. Athina P. Petropulu.
I am looking for Open Positions: new PhD students and postdocs to work on problems in machine/reinforcement learning and stochastic optimization/control, with applications in the broad area of . wireless autonomy, and with emphasis on robustness and trustworthiness If interested in working with me, send me an email including your CV and a short, casual description of your work and research interests.
Recent Virtual Presentations
ICASSP 2020 (Best Paper Award)
CDC 2020 (Speaker: Anastasios Tsiamis)
Latest News New paper March 28, 2021 “Uncertainty Principles for Risk-Aware Statistical Estimation” (see preprint in “Publications”). Preprint March 17, 2021 “Optimal Rates for Learning Hidden Tree Structures” posted on arXiv (https://arxiv.org/pdf/1909.09596.pdf). Paper titled “Predictive Learning for Hidden Tree-Structured Ising Models” was just accepted to the February 15, 2021 Journal of Machine Learning Research (JMLR) (to appear, check out updated preprint). Preprint for paper on noisy linear convergence of SGD for CV@R learning under Polyak-Łojasiewicz inequalities available in “Publications” (soon on arXiv). December 8, 2020 Check out new video presentation for CDC 2020 risk-aware LQR paper (see right above). December 8, 2020 New paper on showing October 28, 2020 noisy linear convergence of stochastic gradient descent for CV@R-based risk-aware learning under Polyak-Łojasiewicz inequalities submitted. Preprint to be available soon. Another paper on October 21, 2020 actor-only deterministic policy gradient via zeroth-order action-space oracles submitted. Our paper titled “Model-Free Learning of Optimal Ergodic Policies in Wireless Systems” was just accepted to the September 24, 2020 IEEE Transactions on Signal Processing (to appear, check out updated preprint). New (and my first) blog article on the August 7, 2020 connections between policy gradient and zeroth-order methods posted in “Blogs and Discussion”; check it out. Our award-winning work on risk-aware MMSE estimation has been July 17, 2020 accepted for oral presentation at the 2020 INFORMS Annual Meeting; read our preprint in “Publications” (also on arXiv). Our paper on risk-aware LQRs has been July 15, 2020 accepted for presentation at CDC 2020; read our preprint (“Publications”, also on arXiv). Revised preprint of our work on July 12, 2020 Zeroth-order Deterministic Policy Gradient (ZDPG) just uploaded; this also contains a more detailed numerical results section.
This is the exotic Marathonisi island, a satellite of the also exotic island of Zakynthos (where I grew up)