Get to know your neighbors Each seminar allows one of our professors from EPFL to give an overview of her/his current research and interests. Please note that this seminar is geared towards an EPFL audience. Jamie Paik © Alain Herzog Upcoming 2022 Prof. Alexander Mathis Multi-individual pose estimation, identification and tracking | Jan. 31, 2022 Prof. Touradj Ebrahimi Feb. 7, 2022 Prof. Kathryn Hess Feb. 28, 2022 Prof. Jean-Philippe Thiran March 7, 2022 Prof. Antoine Bosselut 28 March, 2022 Prof. Edoardo Charbon April 11, 2022 Prof. Josie Hughes May 2, 2022 Prof. Matteo Dal Peraro May 30, 2022 Past 2022 Prof. Pascal Fua Deep Surface Meshes 2021 Prof. Giuseppe Carleo Machine learning in quantum science and quantum computing Prof. Bruno Correia Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning Prof. Nicolas Boumal Geometry and symmetry in non-convex optimization Prof. Sahand Jamal Rahi Using neural networks to analyze microscopy images Prof. Devis Tuia Machine learning on the Earth system with remote sensing Prof. Jürg Schiffmann Steps towards automated design Prof. John Maddocks DNA and Big Data Prof. Marcel Salathé Crowdsourcing ML + Applied Machine Learning Days (AMLD) Prof. Pavan Ramdya Reverse-engineering Drosophila movement control toward applications in robotics Prof. Jean-Pierre Hubaux Sharing without Sharing – Secure and Privacy-Conscious Federated Analytics Prof. Semyon Malamud The Economy as a Complex (Intelligent?) System: Using Mathematics and Data Science to Understand (and Improve) the World we Live in Prof. Michel Herzog Do we really measure what we believe we are measuring? Prof. Mark Pauly Towards Intelligent Material Systems 2020 Prof. Sofia Olhede & Prof. Amir Zamir Prof. Martin Jaggi & Prof. Negar Kiyavash Prof. Michele Ceriotti Physics-inspired machine learning for materials discovery Prof. Jamie Paik The hard challenges in soft robotics Prof. Alexandre Alahi Socially aware AI for last-mile mobility Prof. Simone Deparis Modeling and simulation of vascular flows: Reduced order modeling and physics based neural network Prof. Lenka Zdeborova Insights on gradient-based algorithms in high-dimensional non-convex learning Dr. Pascal Mieville AI for chemistry ? Prof. Frédéric Courbin Intelligent systems for astrophysics and cosmology Prof. Mackenzie Mathis Using mice and machine learning to understand cortical contributions to forelimb motor adaptation Contact If you have any questions please contact: [email protected] If you have a suggestion for a future speaker or would like to take part in the CIS Get To Know Your Neighbors seminar series as a speaker, please fill out the Speaker Suggestion Form.