Brief CV (Resume)

Education

  • 2021
    Ph.D.
    University of Maryland, College Park
    • Electrical and Computer Engineering
    • Thesis -- "Learning Latent Representations and Intrinsic Laws of Complex Systems"
  • 2021
    M.Sc.
    University of Maryland, College Park
    • Electrical and Computer Engineering
  • 2017
    B.Sc. (5-year Diploma)
    National Technical University of Athens, Greece
    • Electrical and Computer Engineering
    • Thesis -- "EEG and EMG Signals in Neuro-Robotic Systems"

Experience

  • 2023 - now
    Postdoc
    Division of Decision and Control Systems, KTH Royal Institute of Technology
  • 2022-2023
    Postdoc
    University of Maryland and Institute for Systems Research
  • 2019
    Research Scientist Intern
    System Sciences Lab, Palo Alto Research Center (PARC)
    • Supervisors -- Ion Matei and Johan de Kleer
  • 2018
    Research Scientist Intern
    Math & Algorithms Research Group, Nokia Bell Labs
    • Supervisor -- Iraj Saniee
  • 2015-2017
    Undergraduate Research Assistant
    Control Systems Lab, Mechanical Eng. Dept., NTUA

Funded Projects

  • 2024
    2-year Industrial Postdoctoral Project (SSF IPD) [2.2 MSEK]
    Funded from the Swedish Foundation for Strategic Research and Ericsson AB
    • PI -- Christos Mavridis
    • Project Scope -- "Hierarchical Communication-Aware Motion Planning"
    • Collaboration with KTH Royal Institute of Technology and Ericsson AB

Invited Talks

  • 2024
    • Uppsala University, Sweden, Real-time Hybrid System Identification for CPS Security and Control.
  • 2023
    • IMDEA Software, Madrid, Progressive Learning for Inference, Verification, and Control of Cyber-Physical Systems.
    • ECSE, RPI, Progressive Learning for Inference and Control in Cyber-Physical Systems.
  • 2022
    • MINDS, Johns Hopkins, Online Deterministic Annealing. Progressive Learning for Cyber-Physical Systems.
    • KTH, Stockholm, Progressive Learning for Inference and Control in Cyber-Physical Systems.
    • ESE, UPenn, Dynamic Learning for Intelligent Autonomous Systems.
    • ECE, Rutgers, Dynamic Learning for Intelligent Autonomous Systems.
  • 2021
    • Maryland Robotics Center, UMD, Learning Latent Representations and Intrinsic Laws of Complex Systems.

Professional Service

  • 2024
    • Organizer, ACC 2024 Student Workshop on Security and Privacy of the Next-Generation Cyber-Physical Systems, IEEE Technical Committee on Security and Privacy
    • Co-Chair, 'Identification I', IEEE ECC 2024
    • Keynote Chair, Digital Futures Young Scientist Conference, Stockholm, Sweden
  • 2023
    • NSF Proposal Review Panellist, ENG/ECCS, 2023
  • 2022
    • Co-Chair, 'Learning', IEEE CDC 2022
    • Co-Chair, 'Intelligent Data Processing From Sensors in Control and Decision Support Systems', MED 2022
    • Journal Peer Reviewing -- [TACON, Automatica, TCNS, DCDS-B], [NAHS]
    • Conference Peer Reviewing -- [CDC, ACC, ECC, MED], [ADHS], [ICRA, IROS], [ITSC]

Honors and Awards

  • 2021
    • Best Student Paper Award (1st place), IEEE ITSC
    • ISR Outstanding Systems Engineering Graduate Student Award, UMD
    • Ann G. Wylie Dissertation Fellowship [$15,000], UMD
    • Future Faculty Program Fellowship, A. James Clark School of Engineering, UMD
  • 2020
    • Graduate School's Outstanding Research Assistant Award, A. James Clark School of Engineering, UMD
  • 2018
    • Qualcomm Innovation Fellowship US Finalist, San Diego, CA
    • Gerontelis Foundation Scholarship [$5,000], MA
  • 2017
    • A. James Clark School of Engineering Distinguished Graduate Fellowship [$15,000], UMD
  • 2010
    • Great Moment for Education student excellence award [1,000€], EFG Eurobank, Greece

Patents

  • 2019
    • Patent No. US 11,188,617 B2; Method and network node for internet-of-things (IoT) feature selection for storage and computation; Nokia Technologies Oy.