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<h2> Christos N. Mavridis </h2>
<p> Ph.D. Candidate, <br>
Dept. of Electrical & Computer Engineering and Institute for Systems Research, <br>
University of Maryland, College Park, MD, USA
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<h2> Christos N. Mavridis </h2>
<p> Publications & Patents -
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/citations?user=yOnghb8AAAAJ&hl=en">(Google Scholar)</a>
</p>
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<hr>
<br>
<h3> Journal Papers </h3>
<ul>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Online Deterministic Annealing for Classification and Clustering</b>,
IEEE TNNLS <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9674199">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2102.05836">(arXiv:2102.05836)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://github.com/MavridisChristos/OnlineDeterministicAnnealing">(GitHub)</a>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, Amoolya Tirumalai, John S. Baras,<br>
<b>Learning Swarm Interaction Dynamics from Density Evolution</b>,
IEEE TCNS <br>
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2112.02675">(arXiv:2112.02675)</a><br>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Annealing Optimization for Progressive Learning with Stochastic Approximation</b>,
IEEE TAC <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/document/10002308">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2209.02826">(arXiv:2209.02826)</a>
</li>
<br>
<li> Erfaun Noorani, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Risk-Sensitive Reinforcement Learning with Exponential Criteria</b>
[under review] <br>
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2212.09010">(arXiv:2212.09010)</a>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Multi-Resolution Online Deterministic Annealing: A Hierarchical and Progressive Learning Architecture</b>
[under review]<br>
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2212.08189">(arXiv:2212.08189)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://github.com/MavridisChristos/OnlineDeterministicAnnealing">(GitHub)</a>
</li>
<br>
<li> Erfaun Noorani, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Risk-Sensitive Reinforcement Learning for Coordination Games</b>
[under review]
</li>
<br>
<li> Amoolya Tirumalai, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Weak Solutions to an Euler Alignment System with Singular Interactions in a Bounded Domain</b>
[under review] <br>
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2111.05361">(arXiv:2111.05361)</a>]
</li>
<br>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach</b>
[under review] <br>
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2112.02256">(arXiv:2112.02256)</a>]
</li>
<br>
</ul>
<h3> Conference Papers</h3>
<ul>
<h4> 2023 </h4>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Identification of Piecewise Affine Systems with Online Deterministic Annealing</b>,
CDC 2023 [under review]
</li>
<br>
<li> <u>Christos N. Mavridis</u>, Aris Kanellopoulos, Kyriakos Vamvoudakis, John S. Baras, Karl Henrik Johansson,<br>
<b>Attack Identification for Cyber-Physical Security in Dynamic Games under Cognitive Hierarchy</b>,
IFAC World Congress 2023
</li>
<br>
<li> Erfaun Noorani, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Exponential TD Learning: A Risk-Sensitive Actor-Critic Reinforcement Learning Algorithm</b>,
ACC 2023
</li>
<br>
<h4> 2022 </h4>
<li> <u>Christos N. Mavridis</u>, George Kontoudis, John S. Baras,<br>
<b>Sparse Gaussian Process Regression using Progressively Growing Learning Representations</b>,
CDC 2022 <br>
<a target="_blank" rel="noopener noreferrer" href="https://www.researchgate.net/profile/George-Kontoudis-2/publication/363694263_Sparse_Gaussian_Process_Regression_using_Progressively_Growing_Learning_Representations/links/632a2b110a708521500b3640/Sparse-Gaussian-Process-Regression-using-Progressively-Growing-Learning-Representations.pdf">(PDF)</a>
</li>
<br>
<li> Faizan M. Tariq, Nilesh Suriyarachchi, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Cooperative Bidirectional Mixed-Traffic Overtaking</b>,
ITSC 2022
</li>
<br>
<li> <u>Christos N. Mavridis</u>, Erfaun Noorani, John S. Baras,<br>
<b>Risk Sensitivity and Entropy Regularization in Prototype-based Learning</b>,
MED 2022 <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/document/9837242">(PDF)</a>
</li>
<br>
<li> Nilesh Suriyarachchi, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Cooperative Multi-Lane Shock Wave Detection and Dissipation via Local Communication</b>,
MED 2022
</li>
<br>
<li> Faizan M. Tariq, Nilesh Suriyarachchi, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Autonomous Vehicle Overtaking in a Bidirectional Mixed-Traffic Setting</b>,
ACC 2022
</li>
<br>
<h4> 2021 </h4>
<li> <u>Christos N. Mavridis</u>, Nilesh Suriyarachchi, John S. Baras,<br>
<b>Maximum-Entropy Progressive State Aggregation for Reinforcement Learning</b>,
CDC 2021<br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9682927">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Maximum-Entropy+Progressive+State+Aggregation+for+Reinforcement+Learning&btnG=">(BibTex)</a>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Progressive Graph Partitioning Based on Information Diffusion</b>,
CDC 2021<br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9682799">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Progressive+Graph+Partitioning+Based+on+Information+Diffusion&btnG=">(BibTex)</a>
</li>
<br>
<li> Nilesh Suriyarachchi, Faizan M. Tariq, <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Real-time Priority-based Cooperative Highway Merging for Heterogeneous Autonomous Traffic</b>,
ITSC 2021<br>
(<i>Best Student Paper Award</i>)<br>
<a target="_blank" rel="noopener noreferrer" href="https://nileshsuri.github.io/files/conferences/2021/Coop_merge_ITSC_2021_Nilesh.pdf">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Real-time+Priority-based+Cooperative+Highway+Merging+for+Heterogeneous+Autonomous+Traffic&btnG=">(BibTex)</a>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, Nilesh Suriyarachchi, John S. Baras,<br>
<b>Reinforcement Learning Robot Control with Progressive State Aggregation</b>,
MRC Research Symposium 2021.<br>
<a target="_blank" rel="noopener noreferrer" href="files/conferences/mavridis_MRC_RL_2021.pdf">(PDF)</a>,
</li>
<br>
<li> <u>Christos N. Mavridis</u>, Nilesh Suriyarachchi, John S. Baras,<br>
<b>Decoding Complex UAV Swarm Maneuvers under Dynamical Leadership</b>,
MRC Research Symposium 2021.<br>
<a target="_blank" rel="noopener noreferrer" href="files/conferences/mavridis_MRC_UAV_2021.pdf">(PDF)</a>,
</li>
<br>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Vector Quantization for Adaptive State Aggregation in Reinforcement Learning</b>,
ACC 2021<br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9483052">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Vector+Quantization+for+Adaptive+State+Aggregation+in+Reinforcement+Learning&btnG=">(BibTex)</a>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, Amoolya Tirumalai, John S. Baras, Ion Matei,<br>
<b>Semi-linear Poisson-mediated Flocking in a Cucker-Smale Model</b>,
MTNS 2020 <br>
<a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/pdf/2102.08772.pdf">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Semi-linear+Poisson-mediated+Flocking+in+a+Cucker-Smale+Model&btnG=">(BibTex)</a>
</li>
<br>
<h4> 2020 </h4>
<li> <u>Christos N. Mavridis</u>, Nilesh Suriyarachchi, John S. Baras,<br>
<b>Detection of Dynamically Changing Leaders in Complex Swarms from Observed Dynamic Data</b>,
GameSec 2020 <br>
<a target="_blank" rel="noopener noreferrer" href="https://gamesec-conf.org/GameSec_Proceeding_2020/Paper%205.2.pdf">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Detection+of+Dynamically+Changing+Leaders+in+Complex+Swarms+from+Observed+Dynamic+Data&btnG=">(BibTex)</a>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, Amoolya Tirumalai, John S. Baras,<br>
<b>Learning Interaction Dynamics from Particle Trajectories and Density Evolution</b>,
CDC 2020 <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9304193">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Learning+Interaction+Dynamics+from+Particle+Trajectories+and+Density+Evolution&btnG=">(BibTex)</a>
</li>
<br>
<li> <u>Christos Mavridis</u>, John Baras, Kostas Kyriakopoulos,<br>
<b> A Human-Robot Interface based on Surface Electroencephalographic Sensors</b>,
IROS 2020 <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9341261">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=A+Human-Robot+Interface+based+on+Surface+Electroencephalographic+Sensors&btnG=">(BibTex)</a>
</li>
<br>
<li> <u>Christos N. Mavridis</u>, John S. Baras,<br>
<b>Convergence of Stochastic Vector Quantization and
Learning Vector Quantization with Bregman Divergences</b>,
IFAC 2020 <br>
<a target="_blank" rel="noopener noreferrer" href="https://reader.elsevier.com/reader/sd/pii/S2405896320302378?token=2E8E99CF8FCADA7150257D2C9E11DF3D04A7BEF92FC6F53AB8AD4256A9247ECFF7A960BFA40EE7928D6B91413B4E0224&originRegion=us-east-1&originCreation=20220603202627">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Convergence+of+Stochastic+Vector+Quantization+and++%09Learning+Vector+Quantization+with+Bregman+Divergences&btnG=">(BibTex)</a>
</li>
<br>
<h4> 2019 </h4>
<li> <u>Christos N. Mavridis</u>, Constantinos Vrohidis, John S. Baras,
Kostas J. Kyriakopoulos,<br>
<b>Robot Navigation Under MITL Constraints Using Time-Dependent
Vector Field Based Control</b>,
CDC 2019 <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9028890">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Robot+Navigation+Under+MITL+Constraints+Using+Time-Dependent++%09Vector+Field+Based+Control&btnG=">(BibTex)</a>
</li>
<br>
<li> Ion Matei, <u>Christos N. Mavridis</u>, John S. Baras, Maksym Zhenirovskyy,<br>
<b>Inferring Particle Interaction Physical Models and Their Dynamical Properties</b>,
CDC 2019 <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9029524">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Inferring+Particle+Interaction+Physical+Models+and+Their+Dynamical+Properties&btnG=">(BibTex)</a>
</li>
<br>
<h4> 2018 </h4>
<li> <u>Christos N. Mavridis</u>, Konstantinos Alevizos, Charalampos P. Bechlioulis,
Kostas J. Kyriakopoulos, <br>
<b>Human-robot collaboration based on robust motion intention estimation with
prescribed performance</b>,
ECC 2018 <br>
<a target="_blank" rel="noopener noreferrer" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8550610">(PDF)</a>,
<a target="_blank" rel="noopener noreferrer" href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C21&q=Human-robot+collaboration+based+on+robust+motion+intention+estimation+with++%09prescribed+performance&btnG=">(BibTex)</a>
</li>
<br>
</ul>
<h3> Book Chapters </h3>
<ul>
<li> Aris Kanellopoulos, <u>Christos N. Mavridis</u>, Kyriakos Vamvoudakis, John S. Baras, Karl Henrik Johansson,<br>
<b>Online Identification of Adversarial Cognitive Ability in Dynamic Games</b>
[under review]
</li>
<br>
</ul>
<h3> Patents </h3>
<ul>
<li> <u>Christos Mavridis</u>, Iraj Saniee,<br>
<b>Method and network node for internet-of-things (IoT) feature selection for storage and computation</b>,<br>
Patent No.: US 11,188,617 B2; Current Assignee: Nokia Technologies Oy.
</li>
</ul>
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