Lab overview
In our lab we design communication networks that configure themselves without manual intervention, and we build connected applications that enable continuous monitoring and optimization of modern industrial facilities. Our daily toolkit includes machine learning, operations research, statistics and mathematical optimization, and we always aim for solutions that have a solid theoretical grounding. Current projects include AI for self-optimizing networks, navigation and localization for autonomous industrial robots, knowledge extraction from unstructured databases, and drone-based industrial monitoring.
Join the world’s leading experts in information and communications technologies
We’re searching for creative and highly motivated technologists and researchers who share our mindset: curious, passionate and looking to make discoveries that will help change human existence for the better.
Network Optimization Intern
We are recruiting two interns to conduct high quality fundamental research into optimization of next-generation open networks, and the creation of digital twins for industrial applications. Candidates should be working towards a postgraduate degree in networking, machine learning, mathematics, data or computer science, computational methods or related field. A strong and proven background in wireless or wireline networking, mathematics, or computing sciences is desired, as is a natural interest in innovatively applying fundamental tools and methods to focused problem areas such as network optimization and digital twins. Experience writing code for large-scale systems and knowledge of visual computing and 3D modeling is a plus.
APA style publications
- Emma Caizergues , François Durand , Fabien Mathieu. "Trier des cochons sauvages" 2023 25èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications (AlgoTel) [pdf]
- Emma Caizergues , François Durand , Fabien Mathieu. " L'abus de comparaisons est mauvais pour la santé". 2023 Journées d’Intelligence Artificielle Fondamentale (JIAF) [pdf]
- François Durand. "Coalitional manipulation of voting rules: simulations on empirical data" 2023 Constitutional Political Economy [pdf]
- Lorenzo Maggi, Ryo Koblitz, Qiping Zhu, Matthew Andrews "Tracking the Best Beam for a Mobile User via Bayesian Optimization" IEEE Vehicular Technology Conference (2023) [pdf]
- Lorenzo Maggi, Claudiu Mihailescu, Qike Cao, Alan Tetich, Saad Khan, Simo Aaltonen, Ryo Koblitz, Maunu Holma, Samuele Macchie, Maria Elena Ruggieri, Igor Korenev, Bjarne Klausen. "Energy Savings under Performance Constraints via Carrier Shutdown with Bayesian Learning" (2023) [pdf]
- Khaled Nakhleh, Minahil Raza, Mack Tang, Matthew Andrews, Rinu Boney, Ilija Hadzic, Jeongran Lee, Atefeh Mohajeri, Karina Palyutina "SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations", 2023 IEEE International Conference on Robotics and Automation (ICRA) [pdf]
- Junghoon Kim, Matthew Andrews, "Learning-Based Adaptive User Selection in Millimeter Wave Hybrid Beamforming Systems", 2023 IEEE International Conference on Communications (ICC) [pdf]
- Maxime Raynal, Marc-Olivier Buob, Georges Quénot, "A novel pattern-based edit distance for automatic log parsing", 2022 26th International Conference on Pattern Recognition (ICPR), 2022
- Maxime Raynal, Marc-Olivier Buob, Georges Quénot, " A novel pattern-based edit distance for automatic log parsing: Implementation and reproducibility notes", RRPR 2022 : Fourth Workshop on Reproducible Research in Pattern Recognition (satellite event of ICPR 2022) [pdf]
- A. Nguyen, T. Pamuklu, A. Syed, W. Kennedy, M. Kantarci. “Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks”. In Proceedings of IEEE International Conference on Communications (ICC). 2022 [pdf]
- Anne Bouillard, Marc-Olivier Buob, Maxime Raynal, "DIG-DAG construction for root-cause analysis" [patent]
- Théo Delemazure, François Durand, Fabien Mathieu. Poster “Election with dependent voters”. Workshop on Computational Social Choice (COMSOC-2021), 2021. [pdf] Best Student Poster Award
- Théo Delemazure, François Durand, Fabien Mathieu. Démocratie à géométrie variable (à l'usage des algorithmes). ALGOTEL 2021 - 23èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, Jun 2021, La Rochelle, France. [pdf]
- Abhishek Kumar Mishra, Sara Ayoubi, Giulio Grassi, Renata Teixeira, NemFI: record-and-replay to emulated WiFi, ACM SIGCOMM Computer Communication Review, 2021 [pdf]
- Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Hyojoon Kim, Renata Teixeira, Nick Feamster, "Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic", Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2021, 5(3), 1-24. [pdf]
- Matthew Andrews, Sem Borst, Jeongran Lee, Enrique Marin-Lopez, Karina Palyutina, "Tracking the State of Large Dynamic Networks via Reinforcement Learning", IEEE INFOCOM 2020 [pdf]
- Achille Salaün, Anne Bouillard, Marc-Olivier Buob, "Demo Abstract: End-to-end Root Cause Analysis of a Mobile Network," IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2020, pp. 1324-1325, doi: 10.1109/INFOCOMWKSHPS50562.2020.9162999. [pdf]
- Anne Bouillard, Achille Salaün, Marc-Olivier Buob, " Space-time pattern extraction in alarm logs for network diagnosis", 2019 Machine Learning for Networking (MLN), 2019, pp. 134-153. [pdf]
- Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Guilherme Martins, Renata Teixeira, Nick Feamster, “Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience”, Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2019 [pdf]
- A. Syed, B. Anwer, V. Gopalakrishnan, J. Van der Merwe. “DEPO: A Platform for Safe DEployment of POlicy in a Software Defined Infrastructure”. In Proceedings of the ACM Symposium on SDN Research (SOSR). 2019 [pdf]
- Anne Bouillard, Marc-Olivier Buob, Achille Salaün, Maxime Raynal, "Log Analysis via Space-time Pattern Matching," 2018 14th International Conference on Network and Service Management (CNSM), 2018, pp. 303-307. [pdf]
- Sara Ayoubi, Shihabur Rahman Chowdhury, Raouf Boutaba, “Breaking Service Function Chains with Khaleesi, IFIP Networking, 2018 [pdf]
Locations and contact
We are represented in four locations world wide.
