Lin DuLin Du obtained her BSc in Electronic Information Engineering and her MSc in Information and Communication Engineering respectively from Beijing Institute of Technology, China.From December 2022, she joined Integrated Circuits Laboratory (ICLAB) at EPFL. She is studying for her PhD in Electrical Engineering focusing on machine learning algorithms for drug concentration estimation from data acquired by the sensors. The PhD project is co-supervised by Prof. Sandro Carrara (EPFL) and Prof. Yann Thoma (HEIG-VD)
Sayan BiswasExpertise
Decentralized Learning; Federated Learning; Ethical ML focusing on Privacy, Fairness, and Personalization; Location Privacy.
I am a Postdoctoral Researcher at the SaCS lab at EPFL. I completed my PhD in Computer Science from INRIA and école Polytechnique in France, under the supervision of Catuscia Palamidessi. Previously, I have been a Visiting Scholar at the School of Computing at Macquarie University in Sydney, Australia, collaborating with Annabelle McIiver and Natasha Fernandes, and at WMG, t
Nicolas Henri Bernard FlammarionNicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Prior to that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d’Aspremont and Francis Bach. In 2018 he received the prize of the Fondation Mathematique Jacques Hadamard for the best PhD thesis in the field of optimization. His research focuses primarily on learning problems at the interface of machine learning, statistics and optimization.
Francesca RodinoExpertise
Electrochemical BiosensorsSensors and Biosensors interfaces | front-end electronicsBiomedical circuits and systems
RechercheOther Tavakolidakhrabadi, A., Domange, T., Nalm, C., Rodino, F., Meimandi, A., Bessire, C., & Carrara, S. (2024). A Novel Microfluidic System for Capacitive Detection via Magnetophoretic Separation of Malaria-Infected Red Blood Cells. IEEE Sensors Letters. DOI: 10.1109/LSENS.2024.3451238Barbruni, G. L., Rodino, F., Ros, P. M., Demarchi, D., Ghezzi, D., & Carrara, S. (2024). A
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
Ehsan PajouheshgarExpertise
Computer Vision, Computer Graphics, Complex Systems, Machine Learning
Education Bachelor of Science | Major: Computer EngineeringMinor: Mathematics 2015 – 2020 Sharif University of Technology Computer Science | 2020 – 2025 EPFL Directed by Sabine Süsstrunk
Awards Teaching Assistance Excellence Award EPFL 2023 Best Student Paper Award From ALife 2024 Conference ALife 2024 Conference 2024 Best Paper Award From SIGGRAPH 2022 Conference ACM
Du WenEducation PhD | Doctor of Philosophy, Mechanical Engineering 2020 – 2023 The University of Tokyo MEng | Master of Engineering, Power Engineering and Engineering Thermophysics 2016 – 2019 Xi’an Jiaotong University Bsc | Bachelor of Engineering 2012 – 2016 Xi’an Jiaotong University
Kai RenKai Ren received his Bachelor's degree in Electrical Engineering from the University of Victoria, and his Master's degree in Electrical and Computer Engineering from the University of British Columbia, Canada. His research interest is the safe motion planning of autonomous systems in uncertain and dynamic environments. His master's thesis investigated a safe and risk-aware Model Predictive Control framework under multimodal environmental uncertainties. Education M.ASc | Electrical and Computer Enginee
Akuto Akpedze KonouAkuto Akpedze KONOU AKA Rolande est une jeune femme du Togo (Afrique de l'Ouest), architecte et urbaniste assermentée, communicatrice, auteur et motivatrice de talent. Elle est passionnée par la recherche en matière de développement durable, d'entrepreneuriat et de technologies vertes. Akuto est actuellement doctorante au laboratoire CEAT/EPFL et travaille sur un volet de recherche du projet Sinergia du FNS "Contributions africaines à la santé mondiale": "Circulation des connaissances et des innovations" (https://globalhealthafrica.ch/). Le projet de recherche étudie les connaissances et les pratiques liées à l'amélioration de la santé et des soins de santé qui ont été développées ou conçues en Afrique. Le projet est mené par une équipe pluridisciplinaire de l'EPFL, de l'Université de Bâle et du Swiss TPH. Fulbright et DKG World Fellow, Akuto a étudié au département de planification communautaire et régionale (College of Design) de l'Université d'État de l'Iowa aux États-Unis en tant qu'assistante de recherche, ainsi qu'après un master en architecture et en urbanisme à l'EAMAU.Akpedze pratique son métier depuis 7 ans, en intégrant au mieux les principes de l'architecture et de l'urbanisme durables. Après son master à l'EAMAU, GIGA, le groupe Eric DUVAL, l'OIF, GIZ, R-SUD, le gouvernement togolais de la prospective et de l'évaluation des politiques publiques, UN-Habitat, le PNUD, le groupe GFA et la Banque mondiale ont renforcé ses compétences. Elle s'engage à travers son domaine à contribuer à la protection de la planète et à la bonne santé de ses habitants. Akpedze soutient que tout être vivant a droit à un environnement sain et décent, et son objectif est d'utiliser l'architecture sociale et l'aménagement durable du territoire pour soutenir les communautés. Akpedze est active au sein d'associations professionnelles telles que l'ONAT, l'OSM, Minodoo, YALI Allumni, TDIF Think Tank et a participé de manière dynamique à plusieurs ateliers internationaux, concours, expositions, puis conférences et formations à l'entrepreneuriat ou au leadership, et sur les questions de villes intelligentes. Co-fondateur de AXE DURABLE et AfriK Durabiliterre, Akuto Akpedze KONOU est convaincue d'avoir une contribution unique à la R & D dans le domaine de la planification durable pour un impact positif sur le Sud et le développement mondial. Geovani RizkExpertise
Distributed Machine Learning, Robustness, Safety, Optimization, Multi-Agent, Bandits in Graphs
I am a postdoctoral researcher at école Polytechnique Fédérale de Lausanne since 2022, where I work with Rachid Guerraoui on robustness of distributed machine learning algorithms. From 2018 to 2022, I completed my Ph.D. in computer science at Université Paris Dauphine-PSL on multi-agent bandits in graphs under the supervision of Yann Chevaleyre, Rida Laraki, Igor Colin, and Albert Thomas.Pre-prints Over
