Innovation Forums 1

Bio:  Dr. Ying Liu is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University. She graduated from the Department of Electrical Engineering, The State University of New York at Buffalo. Her main research interests are in deep learning-based image and video processing and coding, coding for machines, point cloud coding, vision-language models, and generative AI. She is a member of IEEE and a member of SPIE. Her research articles are published in prestigious journals such as the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Consumer Electronics, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Pattern Recognition (Elsevier), and many flagship conferences. She serves as an Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology, and she also serves as the technical program committee member of multiple international conferences. She is the Secretary/Treasurer of the Asia-Pacific Signal and Information Processing Association (APSIPA) US Chapter.

Bio:  John Apostolopoulos is Area Tech Lead of real-time video/audio and related ML/GenAI in Google Workspace, including Google Meet. Previously, he was VP/CTO of Cisco's Enterprise Networking Business, and also founded Cisco’s Innovation Labs. Prior to that, John was a Distinguished Technologist, and then Lab Director for the Mobile & Immersive Experience (MIX) Lab at HP Labs. The MIX Lab conducted research on novel mobile devices & sensing, mobile client/cloud multimedia computing, immersive environments, video & audio signal processing, computer vision & graphics, multimedia networking, glasses-free 3D, wireless, and user experience design. John is an IEEE Fellow, IEEE SPS Distinguished Lecturer, named “one of the world’s top 100 young innovators” by MIT Technology Review, and contributed to the US Digital TV Standard (Engineering Emmy Award). John was a Consulting Associate Professor of EE at Stanford. John served as chair of IEEE Image, Video & Multidimensional Signal Processing TC (08-09), and technical co-chair for IEEE ICIP'07, MMSP'11, ESPA'12, Packet Video’13, and also served on the IEEE SPS Board of Governors. He received his B.S., M.S., and Ph.D. in EECS from MIT.

Bio: Shan Liu received the B.Eng. degree in electronic engineering from Tsinghua University, the M.S. and Ph.D. degrees in electrical engineering from the University of Southern California, respectively. She is a Distinguished Scientist and General Manager at Tencent. She was formerly Director of Media Technology Division at MediaTek USA. She was also formerly with MERL and Sony, etc. She has been a long-time contributor to international standardization with many technical proposals adopted into various standards and served as Editor of H.265/HEVC SCC and H.266/VVC. She is a recipient of ISO&IEC Excellence Award, Technology Lumiere Award, USC SIPI Distinguished Alumni Award, and two-time IEEE TCSVT Best AE Award. She is a Fellow of IEEE and IET. She currently serves as Associate Editor-in-Chief of IEEE Transactions on Circuits and Systems for Video Technology and Vice Chair of IEEE Data Compression Standards Committee. She also serves and has served on a few other Boards and Committees. She holds more than 600 granted US patents and has published more than 100 peer-reviewed papers and one book. Her interests include audio-visual, volumetric, immersive and emerging media compression, intelligence, transport and systems. 

Bio: Satish Annapureddy is a growth and innovation focused product leader passionate about growing businesses with new products, solutions, and partnerships. Over the last 20+ years, Satish has incubated many new products and partnerships involving connected devices, secure streaming, Cloud, and AI. As Principal GenAI GTM specialist at AWS, Satish drives the adoption of AWS AI/ML/GenAI offerings at AWS strategic customers. Prior to joining AWS, Satish held leadership roles in product management and business development at Warner Brothers Discovery and Microsoft. As Director of Product Strategy & Technology Partnerships at Warner Brothers Discovery (WBD), Satish led various AI initiatives and partnerships across content management, distribution, and monetization. At Microsoft, Satish launched and drove adoption of Azure AI Machine Translation, Speech, and Media services and solutions with strategic customers and partners worldwide. Satish obtained his MBA from Cornell University and his MS in Computer Science from Utah State University.

Bio: Haohong Wang is an award-winning industry leader and scholar, who leads TCL's AI research, strategic partnerships, content development, and streaming services in North America. He is the founder of TCLtv+ and the visionary behind the TCL FILM MACHINE program, the world’s first accelerator for AI filmmaking. Recognized as one of the "Top 20 Transformative Triumphs in Home Entertainment" by Media Player News in 2024, the program has redefined the industry. As a pioneer in AI filmmaking, Dr. Wang has served as Executive Producer on eight groundbreaking generative AI films, which have earned accolades like Best AI Film, Best AI Short, and Best AI Animation at multiple international film festivals. Before joining TCL, Dr. Wang held leadership and technical roles at AT&T, Qualcomm, Marvell, and Cisco. His contributions to the field have garnered numerous honors, including the IEEE MMTC Distinguished Service Award, the APSIPA Industrial Distinguished Leader Award, and the Red Dot Winner Award. Dr. Wang has co-authored five books, published over 100 papers, and held more than 160 patents. He was the Editor-in-Chief of Journal of Communications and served in the Steering Committee of IEEE Transactions on Multimedia. He has chaired the IEEE ICME Steering Committee, the IEEE Multimedia Communications Technical Committee, and IEEE Technical Committee on Human Perception & Multimedia. He was the General Chair of ACM Multimedia 2017, and IEEE ICME 2011, and the TPC Chair of IEEE Globecom 2010. Dr. Wang earned his Ph.D. from Northwestern University in Evanston, USA.

Bio: Jeff (Jiajun) Lu is a veteran in artificial intelligence and computer vision. He has more than ten years of working experiences in the fields of video and image editing and creation. He published a book named <Enhanced Human> which describe the future of human race with the support of technology in the time scale of thousands of years. Currently, he is building Akool to be the leading company for personalized visual marketing with generative ai powered videos, images and avatars.