Christos N. Mavridis

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Decision and Control Systems,

Electrical Eng. and Comp. Science,

KTH Royal Institute of Technology,

Malvinas Väg 10, 114 28, Stockholm

mavridis (at) kth.se

mavridis (at) umd.edu

Postdoc, KTH Royal Institute of Technology

About

Postdoc at KTH Royal Institute of Technology, Stockholm, working with Prof. Karl Henrik Johansson.

Received my Ph.D. in Electrical and Computer Engineering from the University of Maryland, College Park, in 2021, working with Prof. John S. Baras. Got my Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece, working at the Control Systems Lab (CSL) with Prof. Kostas Kyriakopoulos.


Research Interests

Theory: Control Theory, System Identification, Learning Theory, Optimization, Multi-Agent Systems
Applications: Hybrid Systems, CPS Securiy, Communication-aware Control, AI Decision Making, Robotics.


News

Apr 11, 2024 MED 2024, Chania, Crete, Greece
Paper Accepted: "Constructive Function Approximation with Local Models".
I will be presenting it in June 2024.
Apr 3, 2024 ECC 2024, Stockholm, Sweden
Paper Accepted: "A Moving Target Defense Mechanism Based on Spatial Unpredictability for Wireless Communication".
Apr 3, 2024 ECC 2024, Stockholm, Sweden
Paper Accepted: "State-Space Piece-Wise Affine System Identification with Online Deterministic Annealing".
I will be presenting it in June 2024.
Feb 22, 2024 Digital Futures Young Scientist Conference 2024, Stockholm, Sweden
Keynote Speaker Chair.
Thank you for attending the first edition of the DF YSC Conference.
Jan 1, 2024 Starting 2-year Project funded from SSF (Swedish Foundation for Strategic Research)
PI: Christos Mavridis. Collaboration with KTH and Ericsson AB.
Topic: "Hierarchical Communication-Aware Motion Planning"
Jul 1, 2023 CDC 2023, Marina Bay Sands, Singapore
Paper Accepted: "Learning Agent Interactions from Density Evolution in 3D Regions With Obstacles".
Jul 1, 2023 CDC 2023, Marina Bay Sands, Singapore
Paper Accepted: "Identification of Piecewise Affine Systems with Online Deterministic Annealing".
I will be presenting it in December 2023.
Jun 1, 2023 ECML-PKDD 2023, Turin, Italy
Paper Accepted: "Explainable Learning with Hierarchical Online Deterministic Annealing".
I will be presenting it in September 2023.
Apr 20, 2023 Invited talk at IMDEA Software Institute, Madrid
Title: "Progressive Learning for Inference, Verification, and Control of Cyber-Physical Systems"
Apr 10, 2023 IFAC World Congress 2023, Yokohama, Japan
Paper Accepted: "Attack Identification for Cyber-Physical Security in Dynamic Games under Cognitive Hierarchy".
I will be presenting it in July 2023.
Apr 10, 2023 ACC 2023, San Diego, CA
Paper Accepted: "Exponential TD Learning: A Risk-Sensitive Actor-Critic Reinforcement Learning Algorithm".
Jan 19, 2023 Invited talk at ECE, RPI
Title: "Progressive Learning for Inference and Control of Cyber-Physical Systems"
Dec 1, 2022 IEEE Transactions of Automatic Control (TAC)
Paper Published: "Annealing Optimization for Progressive Learning with Stochastic Approximation".
Oct 1, 2022 Invited talk at MINDS, Johns Hopkins
Title: "Online Deterministic Annealing: Learning for Cyber-Physical Systems"
Oct 1, 2022 Invited talk at KTH, Stockholm
Title: "Progressive Learning for Inference and Control in Cyber-Physical Systems"
Jul 1, 2022 CDC 2022, Cancun, Mexico
Paper Accepted: "Sparse Gaussian Process Regression using Progressively Growing Learning Representations".
I will be presenting it in December 2022.
Jun 1, 2022 ITSC 2022, Macau, China
Paper Accepted: "Cooperative Bidirectional Mixed-Traffic Overtaking".
May 1, 2022 MED 2022, Athens, Greece
Paper Accepted: "Cooperative Multi-Lane Shock Wave Detection and Dissipation via Local Communication".
May 1, 2022 MED 2022, Athens, Greece
Paper Accepted: "Risk Sensitivity and Entropy Regularization in Prototype-based Learning".
I will be presenting it in June 2022.
Apr 1, 2022 Invited talk at ESE, UPenn
Title: "Dynamic Learning for Intelligent Autonomous Systems".
Apr 1, 2022 IEEE Transactions on Control of Network Systems (TCNS)
Paper Published: "Learning Swarm Interaction Dynamics from Density Evolution".
Feb 1, 2022 Invited talk at ECE, Rutgers
Title: "Dynamic Learning for Intelligent Autonomous Systems".
Jan 1, 2022 IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Paper Published: "Online Deterministic Annealing for Classification and Clustering".
Nov 1, 2021 Patent No.: US 11,188,617 B2 has been issued
Title: "Method and network node for internet-of-things (IoT) feature selection for storage and computation".
Sep 22, 2021 Best Student Paper Award (1st place)
Title: "Real-time priority-based cooperative highway merging for heterogeneous autonomous traffic"
24th IEEE International Conference on Intelligent Transportation Systems ITSC 2021