Alexandre Alahi

Alexandre Alahi is an associate professor at EPFL leading the Visual Intelligence for Transportation laboratory (VITA). Before joining EPFL in 2017, he was a Post-doc and Research Scientist at Stanford University. His research lies at the intersection of Computer Vision, Machine Learning, and Robotics applied to transportation & mobility. He works on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. His research enables systems to detect, track, and predict human motion dynamics at all scales.
In 2022&2023, Alexandre was recognized as the top 100 Most Influential Scholar in Computer Vision over the past 10 years. His work on human motion prediction received the editor’s choice award from the journal Image and vision computing (2021). His work on human pose estimation received an honourable mention at an ICCV workshop (2019). Finally, his research was transferred to a startup detecting and tracking more than 100 million pedestrians in public spaces (including train stations).