Pierre DillenbourgA former teacher in elementary school, Pierre Dillenbourg graduated in educational science (University of Mons, Belgium). He started his research on learning technologies in 1984. In 1986, he has been on of the first in the world to apply machine learning to develop a self-improving teaching system. He obtained a PhD in computer science from the University of Lancaster (UK), in the domain of artificial intelligence applications for education. He has been assistant professor at the University of Geneva. He joined EPFL in 2002. He has been the director of Center for Research and Support on Learning and its Technologies, then academic director of Center for Digital Education, which implements the MOOC strategy of EPFL (over 2 million registrations). He is full professor in learning technologies in the School of Computer & Communication Sciences, where he is the head of the CHILI Lab: "Computer-Human Interaction for Learning & Instruction ». He is the director of the leading house DUAL-T, which develops technologies for dual vocational education systems (carpenters, florists,...). With EPFL colleagues, he launched in 2017 the Swiss EdTech Collider, an incubator with 80 start-ups in learning technologies. He (co-)-founded 4 start-ups, does consulting missions in the corporate world and joined the board of several companies or institutions. In 2018, he co-founded LEARN, the EPFL Center of Learning Sciences that brings together the local initiatives in educational innovation. He is a fellow of the International Society for Learning Sciences. He currently is the Associate Vice-President for Education at EPFL.
Nikita DurasovHi! I’m Nikita Durasov, a PhD student at EPFL IC (🇨🇭) where I work under supervision of Professor Pascal Fua at Computer Vision Laboratory on problems connected with Deep Learning (🤖) and Computer Vision (👁)
Previously, I was a research scientist at Samsung AI Center Moscow and worked under supervision of Anton Konushin at Visual Understanding Lab. I did my bachelors at Moscow Institute of Physics and Technology ( 🇷🇺) with a degree in Applied Math jointly studying at Yandex School of Data Analysis
Weizhe LiuI am a Ph.D. candidate at CVLAB, EPFL, under the supervision of Prof. Pascal Fua. Prior to that, I received the Master of Science degree from EPFL in 2017 and the Bachelor of Engineering degree from University of Electronic Science and Technology of China (UESTC) in 2014.
My research interests lie in the field of Computer Vision, Machine Learning and Robotics. My main focus is on developing algorithms to crowd analysis problem, including counting, localization and motion estimation. Recently, I also work on semantic segmentation, domain adaptation and learning with less supervision.
