Organizers

Peter Vajda

Research Scientist Manager at Facebook

vajdap@fb.com

Peter joined Facebook in 2014 as a Research Scientist. Currently, he is managing the Mobile Vision team on efficient computer vision algorithms for mobile devices. Before joining Facebook, he was Visiting Assistant Professor at Stanford University, Stanford, USA, working on personalized multimedia systems and mobile visual search.

Bichen Wu

Research Scientist at Facebook
wbc@fb.com

Bichen Wu is a research scientist at Facebook working on efficient deep learning algorithms, models, and systems. His research includes efficient computer vision, 3D computer vision, neural architecture search, speech synthesis, and so on. He obtained his Ph.D. from UC Berkeley and his bachelor's degree from Tsinghua University.

Peizhao Zhang

Research Scientist at Facebook
stzpz@fb.com

Peizhao Zhang is a research scientist at Facebook working on efficient deep learning. His work includes efficient model design, automatic architecture search, as well as efficient models for different applications. He holds a Ph.D. in Computer Science from Texas A&M University.

Pete Warden

Staff Research Engineer at Google
pete@petewarden.com
Pete Warden is the tech lead of TensorFlow's Mobile and Embedded team, and was previously CTO of Jetpac, acquired by Google in 2014.

Andrew Howard

Staff Software Engineer at Google

Andrew is working on efficient computer vision models for on device applications. He is the originator of Google’s popular MobileNet models.

Grace Chu

Staff Software Engineer at Google

Grace Chu is a software engineer at Google working on efficient mobile models. She obtained Ph.D from University of Maryland.

Chris Rowen

VP of Engineering at Cisco

Chris is a Silicon Valley entrepreneur and technologist. He serves as CEO of BabbleLabs, a deep learning startup transforming speech processing. He has also led Cognite Ventures, a specialized analysis, investment and advisory company for deep learning startups. Previously, Chris was CEO and co-founder of Tensilica, a leading IP group that created extensible processors for mobile and embedded systems, and served as CTO of Cadences IP Group after Tensilica’s acquisition by Cadence. Chris is an IEEE Fellow, and has a PhD/MS in EE from Stanford.

Kurt Keutzer

Professor at UC Berkeley
kurt.keutzer@gmail.com
Formerly Chief Technical Officer and Senior Vice-President of Research at Synopsys, since 1998 Kurt has been Professor of Electrical Engineering and Computer Science at the University of California at Berkeley. Kurt’s research group is currently focused on using highly-distributed parallelism to accelerate the training of Deep Neural Networks and on orchestrating a variety of techniques to produce fast energy-efficient nets for applications in embedded computer vision. Kurt has published six books, over 250 refereed articles, and is a Fellow of the IEEE. Kurt has been an invited speaker on the topic of Efficient Deep Learning in workshops at NIPS (2016, 2018), CVPR (2018) and ICML 2017 (represented by his student, Forrest Iandola). Kurt is on the steering committee of the TinyML workshop co-sponsored by Google and Qualcomm.

Yung-Hsiang Lu

Professor at Purdue University

yunglu@purdue.edu

Yung-Hsiang Lu is a professor of Electrical and Computer Engineering at Purdue University. He is a University Faculty Scholar of Purdue University. He is a fellow of the IEEE (Institute of Electrical and Electronics Engineers), distinguished scientist and distinguished speaker of the ACM (Association for Computing Machinery). Dr. Lu is the inaugural director of Purdue’s John Martinson Engineering Entrepreneurial Center. In 2019, he received Outstanding VIP-Based Entrepreneur Award from the VIP (Vertically Integrated Projects) Consortium. His research areas include computer vision, embedded systems, cloud and mobile computing. He is an editor of the book "Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence" (2022 by Chapman and Hall/CRC, ISBN 9780367744700)

Jaeyoun Kim

Senior Technical Program Manager

Jaeyoun Kim is a senior technical program manager at Google. He leads AI research projects to build state-of-the-art models and modeling libraries for computer vision and natural language processing.