Regular biography
Alexandre Alahi is an associate professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the CE department. His research focuses on Visual Intelligence for Transportation, merging Computer Vision, Machine Learning, and Robotics to address challenges in transportation and mobility. Alahi leads the Visual Intelligence for Transportation laboratory (VITA) and has been recognized as one of the top 100 Most Influential Scholars in Computer Vision. His work includes developing socially-aware AI systems for autonomous vehicles and robots, with applications in human motion prediction, human pose estimation, and ambient intelligence. He has also co-founded startups and contributed to several research awards and publications.
Scholar-generated biography
Alexandre Alahi is a professor at EPFL with expertise in Computer Vision, Transportation, Autonomous driving, Intelligent Transportation Systems, and AI. His research focuses on developing advanced algorithms for human trajectory prediction, social scene understanding, and crowd-aware robot navigation. He has contributed to projects involving generative adversarial networks, deep reinforcement learning, and multi-object tracking. His work also explores the integration of AI in sustainable urban development and smart city technologies. Alahi's publications highlight the application of deep learning in real-time style transfer, super-resolution, and human pose estimation, emphasizing the intersection of AI with transportation and social dynamics.