KEYNOTE LECTURERS OF SLEIGHT SCIENCE EVENT - SSE#6

MACHINE LEARNING

ON MONDAY 5

Marc SEBBAN

Professor
Leader of Axis#2 of MANUTECH SLEIGHT Graduate School
Laboratoire Hubert Curien(UJM, CNRS, IOGS) - Saint-Etienne

Marc SEBBAN is professor in Computer Science at the University Jean Monnet (UJM), Saint-Etienne since 2002 and the deputy director of the Hubert Curien CNRS laboratory. He is the coordinator of the international master program MLDM in Machine Learning and Data Mining. He is the leader of Axis#2 of MANUTECH SLEIGHT Graduate School. He was member of the board of directors of UJM from 2008 to 2020. His research interests in machine learning include learning from imbalanced data, metric learning, representation learning, optimal transport and domain adaptation. He published papers at ICML, NeurIPS, UAI, IJCAI, ECML, AISTATS, ICCV, CVPR, ECCV, etc.
 

Charlotte LACLAU

Associate Professor
Laboratoire Hubert Curien(UJM, CNRS, IOGS) - Saint-Etienne

Since 2018, Charlotte Laclau is an Associate Professor at the Laboratoire Hubert Curien (LaHC), Univ. Jean Monnet and is part of Data Intelligence team; prior to that, she was holding a postdoctoral position at Laboratoire d’Informatique de Grenoble where she worked on machine learning for Recommender Systems. She received her Ph.D. from Université Sorbonne Paris Cité in 2016. Her research interests are unsupervised learning with a focus on graph representation learning, optimal transport and, since recently the problem of fairness in machine learning algorithms.

ON TUESDAY 6

Ievgen REDKO

Associate Professor
Laboratoire Hubert Curien(UJM, CNRS, IOGS) - Saint-Etienne

Since 2018, Ievgen Redko is an Associate Professor at the Laboratoire Hubert Curien (LaHC), Univ. Jean Monnet and is part of Data Intelligence team; prior to that, he held the same position at the Laboratoire CREATIS, INSA de Lyon where he worked on healthcare applications of ML. He received his Ph.D. from Université Sorbonne Paris Cité in 2015. His research interests are transfer learning, optimal transport and, since recently, game-theoretical analysis of learning algorithms.

• Rémi EMONET


Associate Professor
Laboratoire Hubert Curien(UJM, CNRS, IOGS) - Saint-Etienne

Rémi EMONET is an associate professor at the University Jean Monnet (UJM), Saint-Etienne since 2013. Prior to that, he was a postdoctoral researcher at Idiap research institute, Switzerland, working on unsupervised anomaly detection in video and temporal data.

ON WEDNESDAY 7

Francisco CHINESTA

Professor
ENSAM Institute of Tehcnology (CNRS, Arts et Métiers, CNAM) - Paris

Francisco Chinesta is currently full Professor of computational physics at ENSAM Institute of Technology (Paris, France), Honorary Fellow of the “Institut Universitaire de France” – IUF- and Fellow of the Spanish Royal Academy of Engineering. He is the president of the ESI Group scientific committee and director of its scientific department. He was (2008-2012) AIRBUS Group chair professor and since 2013 he is ESI Group chair professor on advanced modeling and simulation of materials, structures, processes and systems. He received many scientific awards (among them the IACM -International Association of Computational Mechanics- Zienkiewicz award (New York, 2018), the ESAFORM award, …) in four different fields: bio-engineering, material forming processes, rheology and computational mechanics (with major contributions in Model Order Reduction and Engineered Artificial Intelligence, both integrated in the so-called Hybrid paradigm of Simulation Based Engineering). He is author of more than 320 papers in peer-reviewed international journals and more than 900 contributions in conferences. He was president of the French association of computational mechanics (CSMA) and is director of the CNRS research group (GdR) on model order reduction techniques in engineering sciences, editor and associate editor of many journals. He received many distinctions, among them the Academic Palms, the French Order of Merit, … in 2018 the Doctorate Honoris Causa at the University of Zaragoza (Spain) and in 2019 the Silver medal from the French CNRS.

• Anthony GRAVOUIL

Professor
Laboratoire LaMCoS (INSA Lyon, CNRS) - Lyon

Anthony Gravouil is Professor in the Department of Mechanical Engineering at INSA LYON, IUF junior member, and conducts his research activities at LaMCoS laboratory. His research activities mainly focus on the development of multiscale numerical models (MNM) for engineering applications under extreme loading. For instance, it consists in efficient and robust methods for the simulation of 3D crack propagation without remeshing (X-FEM) (dynamic crack growth, fatigue crack growth with confined plasticity, tribologic fatigue with contact and friction). More generally, it consists in MNM dedicated to fracture mechanics (mutigrid XFEM), space-time multi-scale models for transient dynamics (space-time multigrids, explicit-implicit co-simulation), reduced order modelling for MNM (a posteriori and a priori quasi-optimal reduced order modelling for 3D fracture mechanics, transient dynamics, frictional problems). Some significant applications are virtual charts for real time parametric studies of welding processes or virtual charts for multi-scale topology optimization of micro-architectured materials. The International Association for Computational Mechanics (IACM) awarded him in 2016 in recognition of his contributions in computational mechanics.

ON THURSDAY 8

• Christian WOLF

Associate Professor
Laboratoire d’InfoRmatique en Image et Systèmes d’information (LIRIS) (INSA Lyon, CNRS, UCBL Lyon1, ULL2, Centrale Lyon)

Christian WOLF is associate professor (Maître de Conférences, HDR) at INSA de Lyon and LIRIS, a CNRS laboratory, since sept. 2005. He is interested in machine learning, computer vision, and robotics, especially  large-scale learning of the capacity to perform high-level reasoning from visual observations, and more recently the connections between machine learning and control.  He is the head of the AI chair “Remember” at INSA-Lyon, and the national coordinator of project ANR Delicio "Data and Prior, Machine Learning and Control" (2019-2023); He is member of the scientific committee of GDR IA and member of the directing committee of GDR ISIS and co-leader of the topic "Machine Learning". He has supervised 12 defended PhD theses, is an associate editor of IEEE-T on PAMI and area chair of CVPR 2020, NeurIPS 2020, ICLR 2021, ICCV 2021, ICML 2021, NeurIPS 2021.