Workshop on Learning To Sense
NeurIPS 2025 Workshop L2S
Keynote Speakers
Prof. Dr. Avideh Zakhor
Avideh Zakhor is currently Qualcomm Chair and professor in EECS at U.C. Berkeley. Her areas of interest include theories and applications of signal, image and video processing and 3D computer vision. She has won a number of best paper awards, including the IEEE Signal Processing Society in 1997 and 2009, IEEE Circuits and Systems Society in 1997 and 1999 and IEEE Solid Circuits Society in 2008.
Prof. Zakhor received the B. S. degree from Caltech and the S. M. and Ph. D. degrees from MIT all in electrical engineering, in 1983, 1985, and 1987 respectively. She was a General Motors scholar from 1982 to 1983, was a Hertz fellow from 1984 to 1988, received the Presidential Young Investigators (PYI) award from President George Herbert Walker Bush in 1990, and Office of Naval Research (ONR) young investigator award in 1992. In 2001, she was elected as IEEE fellow and in 2018 she was chosen as the Electronics Imaging Scientist of the year by Society of Photographic instrumentation Engineers (SPIE).
She co-founded OPC technology in 1996, which was later by Mentor Graphics (Nasdaq: MENT) in 1998, and UrbanScan Inc. in 2005 which was acquired by Google (Nasdaq:GOOGL) in 2007. She founded Indoor Reality in 2015 to develop technologies for rapid 3D mapping and visualization of buildings and assets.
Prof. Dr. Michael Felsberg
Michael Felsberg is a Professor at Linköping University and Head of the Computer Vision Laboratory within the Department of Electrical Engineering (ISY). His research focuses on artificial visual systems, encompassing 3D computer vision, computational imaging, object detection, tracking, recognition, and visual perception for autonomous systems. Inspired by the human visual system, he approaches computer vision as one of the most complex and unsolved challenges in artificial intelligence. With over 20,000 citations, an h-index of 47, and an i10-index exceeding 120, Michael is a widely recognized figure in the field. He has delivered keynote lectures at major conferences such as CVPR and ISCMI, and his work has earned numerous best-paper and tracking challenge awards from venues including OpenCV, ICPR, VISAPP, and DAGM/
Dr. Daisuke Iso
Daisuke is a senior research scientist at Sony AI. He has been working on imaging and sensing technology for more than 10 years in both academia and industry. His research interests are computational photography, computer vision and machine learning. He received the B.E, M.E, and Ph.D. degrees in information and computer science from Keio University, Tokyo, Japan, in 2001, 2003, and 2006, respectively. He was a visiting scholar at Columbia University from 2011 to 2013.
Message
“I’m in the Imaging & Sensing project and my mission is to fully maximize image sensor capabilities combining AI technologies. Sony Semiconductor Solutions is the market leader in CMOS image sensor, and they own powerful sensors and sensing technologies. I believe the fusion of AI, sensor and sensing technologies will revolutionize the imaging systems, which can be beyond human perception.”
Prof. Dr. Michael S. Brown
Dr. Michael S. Brown is a distinguished Professor of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering, where he holds a prestigious Canada Research Chair in Computer Vision. Complementing his academic role, he currently serves as Vice President, Senior Director, and Head of Samsung AI Center‑Toronto, an AI research hub established by Samsung in 2018 to drive advancements in computer vision and in‑camera processing for real‑world applications. His research investigates how camera sensors perceive light and constructs physics‑based models for image formation, alongside developing innovative in‑camera imaging pipelines suitable for both photography and scientific analysis. Over the years, Dr. Brown has held esteemed positions at institutions including Hong Kong University of Science and Technology, Nanyang Technological University, and the National University of Singapore before joining York University in 2016. He maintains significant influence in the computer vision community through editorial roles in IEEE TPAMI and IJCV, and by contributing as program committee member and chair for premier conferences such as CVPR, ICCV, and ECCV. Under his technical leadership at Samsung AI Center‑Toronto, Dr. Brown continues to pioneer research that bridges cutting‑edge image processing with industrial applications for millions of users worldwide.