Distinguished Engineer, IBM Quantum Computing Technical Partnership and Systems Strategy, IBM Master Inventor and member of Academy of Technology

Dr. Qiqing Christine Ouyang is a Distinguished Engineer in IBM Quantum Computing Technical Partnership and Systems Strategy. She is an IBM Master Inventor and member of the Academy of Technology.

Dr. Ouyang is a thought leader in Collaborative Innovation for emerging technologies. She is currently building IBM Q Network, a collaboration of industrial, academic, and government organisations worldwide with the mission to advance quantum computing and launch the first waves of commercial applications. Prior to her current role, Dr. Ouyang held various technical executive positions in IBM, where she developed Hybrid Cloud Reference Architecture for Analytics and built long-term, strategic partnership with clients. Dr. Ouyang holds 120+ patents and has 100+ scientific publications in major journals and conferences. She started her career at IBM TJ Watson Research Center as a Research Staff Member. Her deep technical root is in solid-state physics and nanotechnology.

Dr. Ouyang received two B.S. degrees (double-major)with highest honours, one in Electrical Engineering, and the other in Economics and Management from Tsinghua University, Beijing, China; a M.S. in Electrical Engineering from the University of Notre Dame; and a Ph.D. in Electrical Engineering from the University of Texas, Austin.

Director, National Supercomputer Centre in
Guangzhou Sun Yat-sen University China

Professor Lu Yutong was the Director of the System Software Laboratory, School of Computer Science, National University of Defense Technology (NUDT), Changsha, China. She is also a professor in the State Key Laboratory of High Performance Computing, China. She got her B.S, M.S, and PhD degrees from the NUDT. Her extensive research and development experience has spanned several generations of domestic supercomputers in China. During this period, Prof. Lu was the Director Designer for the Tianhe-1A and Tianhe-2 systems.  Her continuing research interests include parallel operating systems (OS), high-speed communication, global file system, and advanced programming environment.

Professor, Applied Mathematics,
Stony Brook University

Deng Yuefan is a Professor of Applied Mathematics at Stony Brook University, the Mt. Tai Scholar at the National Supercomputer Centre of China in Jinan, China’s most prestigious Thousand-Scholar Program awardee, and a Visiting Professor of Computer Science at the National University of Singapore. Prof. Deng earned his BA (1983) in Physics from Nankai University and his PhD (1989) in Theoretical Physics from Columbia University.

Prof. Deng’s research covers parallel computing, molecular dynamics, Monte Carlo methods, and biomedical engineering. He has published more than 85 papers in these areas and supervised 25 doctoral theses. He is the architect of the Galaxy Beowulf Supercomputer at Stony Brook built in 1997 and of the NankaiStars Supercomputer which was China’s fastest when it was completed in 2004. He also built a supercomputer prototype called RedNeurons in 2007 with financial support from China’s Ministry of Science and Technology and Shanghai’s Commission of Science and Technology. His research in the US is supported by DOE, NSF, NIH, as well as New York State. He has lectured widely in the US, Germany, Russia, Brazil, Singapore, as well as the Greater China region.

Co-Founder Of SenseTime, Assistant Professor at The Chinese University of Hong Kong (CUHK)

Professor Dahua Lin is Co-Founder of SenseTime. He is also an assistant professor at the Department of Information Engineering, the Chinese University of Hong Kong (CUHK) and the director of the CUHK-SenseTime Joint Lab. Prior to joining CUHK, he served as a research assistant professor at Toyota Technological Institute at Chicago from 2012 to 2014. His research interest covers computer vision, machine learning and big data analytics. In recent years, he primarily focuses on deep learning and its applications on high-level visual understanding, probabilistic inference and big data analytics.

Professor Lin has published about seventy papers on top conferences and journals, e.g. ICCV, CVPR, ECCV, NIPSand T-PAMI. His seminal work on a new construction of Bayesian nonparametric models has won the Best Student Paper Award at NIPS 2010. He also received the Outstanding Reviewer Award at ICCV 2009 and ICCV 2011. He has supervised and co-supervised the CUHK team in international competitions and won multiple awards at ImageNet 2016, ActivityNet 2016and ActivityNet 2017. He also served as an area chair of ECCV 2018.

Dahua Lin received his PhD from the Department of Electrical Engineering and Computer Science(EECS) at Massachusetts Institute of Technology in 2012. He received his M.Phil. from the Department of Information Engineering at the Chinese University of Hong Kong in 2007, and B.Eng. from the Department of Electrical Engineering and Information Science at the University of Science and Technology of China in 2004.