Hongbin Ma

Dr Hongbin Ma is currently a Professor at the School of Automation, Beijing Institute of Technology. He received his bachelor degree from Zhengzhou University in 2001 and doctoral degree from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2006. He joined Bell Labs Research Center at Beijing in March of 2006 and later joined Temasek Laboratories, National University of Singapore in August 2006 as a Research Scientist. His research focuses on adaptation, learning and recognition, especially adaptive estimation and control, as well as their applications in robots, smart cars, and UAVs. He is also a member of IEEE, SIAM, CSIAM, ACM and Automation Society of China. He serves as (leading) guest editor or member of international/technical program committee of several academic conferences/journals such as Chinese Control Conference, Chinese Conference on Decision and Control, International Conference on Control & Automation, Journal of Robotics. Dr. Ma is the principle investigator of several scientific projects supported by National Natural Science Foundation (NSFC), Ministry of Education, and so on. In 2009, he was supported by the programme of New Century Excellent Talents in University, by Ministry of Education. In 2012, he obtained the 13th Huo Ying Dong Young Teacher Award for Higher Education and the 13th Excellent Education & Teaching Award of Beijing Institute of Technology. He was also supported by Beijing Outstanding Talents Project starting from 2012. In 2017, he obtained Wu Wenjun Artificial Intelligence Science and Technology Award, Big Data Academic Innovation Award, Outstanding Scientific Outcome Award and Second Prize in Innovation Contest for Oversea Talents. He received several awards, such as 2016 ICIRA Recognition Award, in international conferences. Dr. Ma has published more than 100 academic papers in reputable journals or conferences. And under his supervision, a dozen of students have performed well in scientific research, innovation contests, and establishing themselves.