Mahmut Selman SakarEnseignement et PhD Doctorant·es actuel·les Lorenzo Francesco John Noseda, Nikita Norkin, Elif Ezgi Inan, Houman Javaheri, Mehdi Ali Gadiri, Julian Leon Raub, Junsun Hwang A dirigé les thèses EPFL de Erik Mailand, Raquel Filipa Penacho Parreira, Murat Kaynak, Lucio Pancaldi-Giubbini, Fazil Emre Uslu, Matthias Rüegg, Ece Özelçi, Emilie Vuille-Dit-Bille A co-dirigé les thèses EPFL de Laura Joan Hermans, Sourabh Monnappa Kuppanda Jafri Cours Dynamical systems ME-221 Introduction à la modélisa
Stefana ParaschoEnseignement et PhD Doctorant·es actuel·les Jingwen Wang, Gabriel Vallat, Maxence Grangeot, Eleni Maria Skevaki, Wenqian Yang, Megi Sinani Cours Capitalizing on Uncertainty AR-809 Digital design and making: A critical introduction AR-503 Le cours présente des méthodes de conception et de fabrication numériques en combinant des compétences techniques avec des connaissances théoriques et une réflexion critique. Les sujets incluent: la programmation pour la conception, la fabr
Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Andres Osorio SalazarExpertise
Robotics, advanced actuator design, soft actuators, sensor design, embedded systems, human-machine interface architecture, electronic-less control, mechanism design, additive and traditional manufacturing, industrial automation, process control, and fluid robotics.
Current Work
Smart Footwear for Diabetic Foot Care and Ulcer PreventionEvery 20 seconds, a person with diabetes has to face an amputation somewhere in the world. The main risk factor is high plantar pressure combined with foot nephropat
Tanja Christina Käser JacoberTanja Käser is an assistant professor at the EPFL School of Computer and Communication Sciences (IC) and head of the D-VET laboratory. Her research lies at the intersection of machine learning, data mining, and education. She is particularly interested in creating accurate models of human behavior and learning.Prior to joining EPFL, Tanja Käser was a senior data scientist with the Swiss Data Science Center at ETH Zurich. Before that, she was a postdoctoral researcher with the AAALab at the Graduate School of Education of Stanford University.
Tanja Käser received her PhD degree from the Computer Science Department of ETH Zurich. In her dissertation, completed at the Computer Graphics Laboratory, she focused on user modeling and data mining in education, which was honored with the Fritz Kutter Award 2015.
Christian GiangChristian Giang is a researcher at the École Polytechnique Fédérale de Lausanne (EPFL) and the Department of Education and Learning at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI-DFA). His research focuses on the use of educational technologies in formal education. He received the Ph.D. in Educational Robotics from EPFL in 2020. Before that, he received the BSc and MSc degrees in Electrical Engineering and Information Technology from ETH Zürich. Moreover, he is currently completing the teaching certificate in Electrical Engineering (Didaktik-Zertifikat) at ETH Zürich.
Yegor PiskarevExpertise
Medical Device Engineering & Development: I have hands-on experience in the complete lifecycle of medical device development, from concept to preclinical validation and regulatory compliance. I led the design and development of three cardiac ablation catheters, which are class III medical devices, meeting strict FDA and MDR/MDD requirements. Currently, I am overseeing the transition of an ENT medical device from proof-of-concept to a commercial product, including establishing a quality management
Jauwairia NasirI am a doctoral candidate and a Marie Curie ITN Fellow in the field of Robotics at Computer-Human Interaction for Learning and Instruction Lab at EPFL where I currently work towards building Human-Robot Interaction technologies, leveraging AI, to help improve learning environments for kids. I did my Masters in Electrical Engineering and Computer Sciences from KAIST, South Korea and my Bachelors in Electronics Engineering from School of Electrical Engineering and Computer Sciences (SEECS) NUST in Pakistan. During my Bachelors and Masters degrees, my research revolved around path planning algorithms for mobile robots and autonomous household robots for elderly, respectively.As the Women in AI (WAI) Education Lead in Switzerland, I organize WAI educational activities in the country such as WaiCAMPs and am also a part of WAI’s Global Education Task Force. I am passionate about causes such as safe and unbiased AI, education for all, and discrimination free society.
Joelyn de LimaExpertise
Education ResearchPedagogical Professional DevelopmentInformal EducationAcademic communities
Joelyn de Lima is a scientist, educational developer, and researcher whose work bridges the natural sciences, higher education, and inclusive practice. Originally trained in the biological sciences, her early research focused on students’ conceptual and mechanistic understanding of evolution. She later transitioned into discipline-based education research and pedagogical development, bringing together scie
Iris Capdevila TristanA L’EPFLCoordinatrice du projet s’ÉPanouir FLourish, visant le développement des programmes de formation à l’EPFL, et chair du Work Package 4, dédié à l’évolution de l’enseignement et des carrières des enseignant·es. Plus d’information ici : https://go.epfl.ch/flourishConseillère pédagogique à la faculté STI entre 2020 et 2025, en appui aux enseignant.es et aux sections MX, GM, MT et NX. Secrétaire générale du Swiss Faculty Development Network (SFDN), réseau national engagé dans le renforcement des capacité Ali H. SayedAli H. Sayed est doyen de la Faculté des sciences et techniques de l’ingénieur (STI) de l'EPFL, en Suisse, où il dirige également le laboratoire de systèmes adaptatifs. Il a également été professeur émérite et président du département d'ingénierie électrique de l'UCLA. Il est reconnu comme un chercheur hautement cité et est membre de la US National Academy of Engineering. Il est également membre de l'Académie mondiale des sciences et a été président de l'IEEE Signal Processing Society en 2018 et 2019.
Le professeur Sayed est auteur et co-auteur de plus de 570 publications et de six monographies. Ses recherches portent sur plusieurs domaines, dont les théories d'adaptation et d'apprentissage, les sciences des données et des réseaux, l'inférence statistique et les systèmes multi-agents, entre autres.
Ses travaux ont été récompensés par plusieurs prix importants, notamment le prix Fourier de l'IEEE (2022), le prix de la société Norbert Wiener (2020) et le prix de l'éducation (2015) de la société de traitement des signaux de l'IEEE, le prix Papoulis (2014) de l'Association européenne de traitement des signaux, le Meritorious Service Award (2013) et le prix de la réalisation technique (2012) de la société de traitement des signaux de l'IEEE, le prix Terman (2005) de la société américaine de formation des ingénieurs, le prix de conférencier émérite (2005) de la société de traitement des signaux de l'IEEE, le prix Koweït (2003) et le prix Donald G. Fink (1996) de l'IEEE. Ses publications ont été récompensées par plusieurs prix du meilleur article de l'IEEE (2002, 2005, 2012, 2014) et de l'EURASIP (2015). Pour finir, Ali H. Sayed est aussi membre de l'IEEE, d'EURASIP et de l'American Association for the Advancement of Science (AAAS), l'éditeur de la revue Science.
