Bio: Stanislas graduated in 2021 from the engineering school IMT Atlantique (Télécom Bretagne degree) with a specialization in Mathematical and Computational Engineering. Previously he was in the mathematics and physics Preparatory classes for French Engineering Schools in Chaptal.
Research interests: UAV swarms, Markov Decision Processes, Reinforcement Learning, Game Theory, Multi-Agent models.
Thesis: Swarm intelligence for conflict resolution.
Bio: In 2021, Colin obtained a degree in Computer Engineering from the Polytechnic school of the University of Tours (France). He also holds a Master's Degree in Computer Science from the University of Sherbrooke (Québec) where he mainly studied Machine Learning techniques, Systems and Networks and Web Applications.
Research interests: Novel class discovery, Clustering, Tabular data, Open world learning, Transfer learning.
Thesis: Novel Class Discovery in Tabular Data : an Application to Network Fault Diagnosis.
Bio: Pierre graduated in 2022 from the engineering school IMT Atlantique with a specialization in Machine Learning and Cybersecurity. After graduating, he worked for a year in a consulting firm in Access management before starting a PhD. Previously he was in Preparatory classes for French Engineering Schools in Nantes.
Research interests: Cybersecurity, Moving Target Defense, Applied Mathematics, Game Theory, Machine Learning, Reinforcement Learning
Thesis: Moving Target Defense to improve the security of virtualized networks
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Bio: Eshwar completed his Bachelors in Engineering in Computer Science from PES Institute of Technology, Bangalore, India in 2016. He worked as a DevOps Engineer (promoted to Cloud Adoption Engineer 2) for 2 years at Intuit, Bangalore. After that, he worked as a Software Developer at Kenome, (a nascent but extremely driven NLP-based startup) for 1 year and 4 months. Later, he joined as a Ph.D. student at Indian Institute of Science during the January 2020 admissions. He works in the "Vivitsu: Stochastic Optimization and Data Analysis Lab" headed by Prof. Gugan Thoppe. He is awarded with Prime Minister's Research Fellowship (PMRF) during the Dec 2020 cycle.
Research interests: Theory and Applications of Reinforcement Learning.
Thesis: Reinforcement learning: Theory and applications
Bio: Hajer REJEB is a PhD in Applied Mathematics, specializing in Probability and Statistics, defended in December 2022 at the Faculty of Sciences of Sfax in Tunisia. Currently, she is a postdoctoral researcher at IMT Atlantique in Brest (France), where her research project focuses on the performance and stability of distributed ledgers based on directed acyclic graphs.
Research interests: Stochastic Processes, Blockchain, Directed Acyclic Graph Theory based on Distributed Ledgers
Bio: Olivier Tsemogne is currently a postdoctoral researcher at IMT Atlantique, France, focusing on stochastic optimization with a particular interest in dimension reduction of Markov Decision Processes (MDP). After defending his Ph.D. in December 2022 on game theory applied to cybersecurity, in a co-tutelle between the University of Avignon (France) and the University of Dschang (Cameroon).
Research interests: Olivier Tsemogne's Ph.D. thesis focused on controlling an epidemic propagated actively and stealthily by an attacker in an IoT network. Since February 2023, Olivier Tsemogne has been working on solving MDPs by state space abstraction with weight distribution, proposing innovative solutions for applications such as resource allocation in 5G+ communication networks.