Special Seminar: Jeng-Neng Hwang

US/Pacific
ECE 303

ECE 303

Ken-Yu Lin (University of Washington), Shih-Chieh Hsu (University of Washington Seattle (US))
Description

Join us for a community engagement event hosted by the A3D3 Institute. This meetup is a great opportunity to connect and network. We are honored to have Professor Jenq-Neng Hwang (黃正能) from the Department of Electrical and Computer Engineering as our keynote speaker. Whether you're looking for a partner for your next ping-pong match or a collaborator for a grant proposal, this event could be the perfect place to find your next adventure companion.

Title: Deploying AI in the Real-World Visual Applications

Abstract: This talk will first present recent evolutions of AI techniques , i.e., deep learning models, and then provides a quick overview of my past 10-year efforts on applying perception AI and generative AI techniques for various real-world big visual data, e.g., image, video, radar and Lidar.

Bio:  Dr. Jenq-Neng Hwang (https://people.ece.uw.edu/hwang/) received the BS and MS degrees, both in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 1981 and 1983 separately. He then received his Ph.D. degree from the University of Southern California. In the summer of 1989, Dr. Hwang joined the Department of Electrical and Computer Engineering (ECE) of the University of Washington in Seattle, where he has been promoted to Full Professor since 1999. He served as the Associate Chair for Research from 2003 to 2005, and from 2011-2015. He also served as the Associate Chair for Global Affairs from 2015-2020. He is currently the International Programs Lead in the ECE Department. He is the founder and co-director of the Information Processing Lab., which has won several AI City Challenges awards in the past years. He has written more than 400 journal, conference papers and book chapters in the areas of machine learning, multimedia signal processing, computer vision, and multimedia system integration and networking (Google citation), including an authored textbook on "Multimedia Networking: from Theory to Practice," published by Cambridge University Press. Dr. Hwang has close working relationship with the industry on artificial intelligence and machine learning.

Dr. Hwang received the 1995 IEEE Signal Processing Society's Best Journal Paper Award. He is a founding member of Multimedia Signal Processing Technical Committee of IEEE Signal Processing Society and was the Society's representative to IEEE Neural Network Council from 1996 to 2000. He is currently a member of Image Video and Multimedia Signal Processing Technical Committee (IVMSP TC) of IEEE Signal Processing Society. He served as associate editors for IEEE T-SP, T-NN and T-CSVT, T-IP and Signal Processing Magazine (SPM). He served as the General Co-Chair of 2021 and 2022 IEEE World AI IoT Congress, Seattle, WA. He also served as the Program Co-Chair of IEEE ICME 2016 and was the Program Co-Chairs of ICASSP 1998 and ISCAS 2009. Dr. Hwang is a fellow of IEEE since 2001.

    • 10:00 10:40
      Deploying AI in the Real-World Visual Applications 40m
      Speaker: Jeng-Neng Hwang (University of Washington)