Amir Zamir

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amir.zamir@epfl.ch +41 21 693 13 91 http://amirzamir.com/

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EPFL IC IINFCOM VILAB
INJ 230 (Bâtiment INJ)
Station 14
1015 Lausanne

+41 21 693 13 91
+41 21 693 13 93
Office: INJ 230
EPFL > IC > IINFCOM > VILAB

Web site: Web site: https://vilab.epfl.ch/

+41 21 693 13 91
Office: INJ 230
EPFL > IC > IC-SIN > SIN-ENS

Web site: Web site: https://sin.epfl.ch

+41 21 693 13 91
Office: INJ 230
EPFL > VPA-AVP-DLE > AVP-DLE-EDOC > EDRS-ENS

+41 21 693 13 91
Office: INJ 230
EPFL > IC > IC-SSC > SSC-ENS

Web site: Web site: https://ssc.epfl.ch

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Administrative data

Biography

Amir Zamir is a Tenure-Track Assistant Professor of computer science at the Swiss Federal Institute of Technology (EPFL). His research is in computer vision, machine learning, and AI. Before joining EPFL in 2020, he was with UC Berkeley, Stanford, and UCF. He has received best 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

Teaching

Computer Science

Communication Systems

PhD Students

Atanov Andrei, Bachmann Roman Christian, Singh Kunal Pratap, Singh Rishubh, Toskov Jason Alexander, Xue Teng,

Past EPFL PhD Students

Courdier Evann Pierre Guy , Kar Oguzhan Fatih , Yeo Shuqing Teresa ,

Courses

Intelligent systems: communications & AI

The course teaches the development of systems that solve real-world challenges in communications, signal processing, foundation models, robotics, and AI. Students will work in teams, construct their ideas, and either program available hardware prototypes or build their hardware or software system.

AI product management

AI is set to transform several industry sectors, and there is high demand for AI product managers. AI Product Management (AIPM) is a complex role that requires an understanding of both AI and product management. This course will enable students to identify opportunities for developing new AI products, understand when they should use AI in an existing product/process, manage the development of A

Visual intelligence

(Coursebook not yet approved by the section)

Topics in Autonomous Robotics

Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises.