Amir Roshan Zamir

Amir Zamir is a Tenure-Track Assistant Professor of computer science at the Swiss Federal Institute of Technology, Lausanne (EPFL). His research interests are broadly in machine learning and AI, in particular, computer vision, multimodal learning, and embodied vision. Before joining EPFL in 2020, he was with UC Berkeley, Stanford, and UCF. He has received paper awards at SIGGRAPH 2022, CVPR 2020, CVPR 2018, CVPR 2016, and the NVIDIA Pioneering Research Award 2018, PAMI Everingham Prize 2022, and ECCV/ECVA Young Researcher Award 2022. His research has been covered by press outlets, such as The New York Times or Forbes. He was also the computer vision and machine learning chief scientist of Aurora Solar, a Forbes AI 50 company, from 2015 to 2022 and advices various companies. Teaching & PhD PhD Students Andrei Atanov, Zhitong Gao, Muhammad Uzair Khattak, Kunal Pratap Singh, Mingqiao Ye, Jason Alexander Toskov, Teng Xue, Rishubh Singh Past EPFL PhD Students Teresa Yeo, Oguzhan Fatih Kar, Roman Bachmann Past EPFL PhD Students as codirector Evann Pierre Guy Courdier Courses AI product management CS-500 The course focuses on the development of real-word AI/ML products. It is intended for students who have acquired a theoretical background in AI/ML and are interested in applying that toward developing AI/ML-oriented products. Intelligent systems: communications & AI COM-304 The course teaches the development of systems that solve real-world challenges in communications, signal processing, foundation models, and AI. Students will work in teams, construct their ideas, and either program available hardware prototypes or build their hardware or software system. Topics in Autonomous Robotics ENG-615 Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises. Visual intelligence : machines and minds CS-503 This course covers both classic concepts and recent advances in computer vision and machine learning for processing visual data -- with a primary focus on embodied intelligence and multimodal learning