Young Professionals Networking Event
Join the IEEE Signal Processing Society Young Professionals after the conference sessions for a networking reception to unwind with your colleagues to discuss careers, entrepreneurship, and opportunities in a fun and casual setting.
Young Professionals Panel Discussion
This panel discussion will bring together research scientists and leaders from the industry to share their career trajectory in industry and talk about career development for signal processing students, researchers and practitioners. The panelist will also give insights on the differences in roles, responsibilities, and expectations between the engineer and researcher positions in industry.
Panelists:
Joonsoo Kim received the Ph.D degree in Electrical and Computer Engineering from Purdue University, West Lafayette, US in 2017. From 2017 to 2019, He developed the camera algorithm as a senior system engineer in Qualcomm. He is currently a staff engineer in Samsung Research America in the US. His research interests include computer vision, computational photography and machine learning.
Kiran Misra received his Ph.D. and M.S. degree in electrical engineering from Michigan State University (USA), in 2010 and 2002 respectively. He received his B. E. in electronics engineering from D. J. Sanghvi college of engineering, Mumbai University, in 1998. From 2010 to 2022, Dr. Misra was part of the video coding research group at Sharp Laboratories of America (SLA), where he was a Principal Researcher. Since 2022, he is a Senior Video Scientist at Amazon Prime Video.
Dr. Misra has made several contributions to HEVC/H.265 and VVC/H.266 video coding standardization, notably in the areas of loop filters, parallelization and high-dynamic range video coding. During ATSC-3.0 standardization, he also served as Vice-Chair of Ad-hoc Group on Accessibility. At present, he actively contributes to the Alliance for Open Media’s (AOM’s) royalty-free AV2 video coding standard development effort. Within AOM, he serves as Vice-Chair for the Focus Group on machine learning based tools. His research interests include video compression, delivery and rendering. In these research areas, Dr. Misra is an author on more than 100 standard-related contributions, 30 papers and 60 issued patents.
Lu Wang received the B.Eng. and M.Eng. degree in electrical and electronic engineering from Xidian University in 2007 and 2010, respectively. She received the Ph.D. degree in 2014 in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. From 2015 to 2018, she was with the School of Marine Science and Technology in Northwestern Polytechnical University, China. Since 2019, she has been a scientist in the Institute for Infocomm Research (I2R) in Agency for Science, technology, and Research (A*STAR), Singapore.
Her major research interests include Bayesian learning, signal processing in various applications of radar, sonar and communication, and machine learning and deep learning with applications in recommendation and AI for science.
Olivier Le Meur received the Ph.D. degree in computer vision in 2005 from the University of Nantes (France) and his accreditation to supervise research in 2014 from the University of Rennes 1 (France). He has more than 10 years industrial experience on image and video processing, coding and analysis at Thomson Video Network, Technicolor and Xiaomi R&D.
From 2009 to 2021, he is associate professor at the University of Rennes 1, where he supervised the research team Percept at IRISA/CNRS/INRIA and taught image and video compression. Since 2021, he is on leave from the University of Rennes 1 and principal scientist at InterDigital, where he leads the Energy-Aware Media research project.
His main research interests include visual perception, visual attention modelling, image analysis, quality metrics, applied machine learning and energy-aware image processing. He has authored and co-authored more than 50 papers in the aforementioned topics ang got more than 6000 citations (see Google scholar profile). He is in the Editorial Board Members of the Journal of Imaging and member of the Visual Signal Processing and Communications Technical Committee (VSPC).
Thuong Nguyen Canh received a Ph.D. (2019) in Electrical and computer engineering from Sungkyunkwan University, South Korea. He spent one year as a postdoctoral research fellow at the Institute for Datability Science, Osaka University, Japan. Currently, he is a senior researcher in video coding at Tencent America. His research interests include immersive media compression (3D mesh, point cloud, lightfield), image/video compression (AV1, H.266/VVC, and beyond), computational photography, and applications of deep learning.