The 6th International Conference on Data-driven Optimization of Complex Systems (DOCS 2024)

Keynote Speakers



Prof. Qinghua Zheng

TongJi University, China

Zheng Qinghua, born in January 1969 in Shengzhou, Zhejiang, was the Standing Committee Member and Vice President of the Party Committee of Xi'an Jiaotong University, as well as the Executive Vice President of Xi'an Jiaotong University (at the bureau level). In February 2023, he was appointed as the President (Vice Minister level) and Deputy Secretary of the Party Committee of Tongji University. He is the director of the Key Laboratory of Intelligent Network and Network Security of the Ministry of Education, a member of the Science and Technology Committee of the Ministry of Education, the director of the University Computer Teaching Steering Committee of the Ministry of Education, the recipient of the National Outstanding Youth Fund, and the head of the innovation group of the National Natural Science Foundation of China.

His research field is big data knowledge engineering. He has won three second prizes of the National Science and Technology Progress Award, one first prize of the National Teaching Achievement Award, three second prizes, five first prizes at the provincial and ministerial levels, and he won the "Science and Technology Progress Award" of the Heliang Heli Fund in 2022, the special prize for scientific and technological progress of the Chinese Society of Automation. He has successively won the "Seeking Truth" outstanding youth award of the China Association for Science and Technology, the China Youth Science and Technology Award, the special allowance of the State Council, the special prize for excellent teachers of Baosteel, and the outstanding backbone teachers of colleges and universities across the country.

Zhengyou Zhang

Chief Scientist of Tencent AI Lab, China

Zhang Zhengyou is an influential scholar in academia and a world-renowned artificial intelligence and robotics scientist. He has made pioneering contributions in many fields. In 2013, Zhang Zhengyou won the IEEE Helmholtz Time Trial Award for 'Zhang's calibration method', which is now widely used around the world. Before joining Tencent, Zhang Zhengyou worked at Microsoft and the Microsoft Research Institute for 20 years. In addition, he also served as deputy editor of magazines such as 'IEEE Multimedia', 'Computer Vision', 'Machine Vision and Applications', 'Pattern Recognition and Artificial Intelligence', and 'IEEE Pattern Analysis and Machine Intelligence'. At Tencent, Zhang Zhengyou led the creation of a robot laboratory, Robotics X, committed to promoting the next generation of human-machine collaboration robot research. At present, the Robotics X laboratory mainly focuses on the research and application of three kinds of general robot technologies: mobile, dexterous operation, and agent. It also focuses on the research and development of multi-modal mobile robots. In November 2020, Robotics X announced two new developments of the quadruped robot Jamoca and the self-balancing wheeled mobile robot that can complete the complex challenges of walking a plum blossom stake.



Prof. Zhen Wang, IEEE Fellow

University of British Columbia, Canada

Zhen Jane Wang received her B.Sc. degree from Tsinghua University, China, in 1996 and her M.Sc. and Ph.D. degrees from the University of Connecticut (UConn) in 2000 and 2002, respectively, all in electrical engineering. While at UConn, she received the annual Outstanding Engineering Doctoral Student Award. She has been a Research Associate at the University of Maryland, College Park. Since Aug. 2004 she has been with the ECE dept. at UBC, Canada, and she is currently Professor. She is an IEEE Fellow (2017), a Fellow of the Canadian Academy of Engineering (FCAE, 2018), and a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada (2017).