Prof. Qiao Chen
Xi'an Jiaotong University, China
Qiao Chen is a full professor of the School of Mathematics and Statistics, Xi'an Jiaotong University. She achieved her bachelor's, master's, and doctoral degrees all from Xi'an Jiaotong University. She conducted her postdoctoral research in the department of Biomedical Engineering at Tulane University in the United States. As research fellows, she has visited and collaborated with institutions of the University of Liverpool in the United Kingdom, the University of Queensland and the University of Technology Sydney in Australia, and Nanyang Technological University in Singapore. Her current research focuses on the mathematical foundations of artificial intelligence, brain-inspired intelligence, and neuroimaging. She has published over 40 academic papers on deep learning, neural networks and brain science in many prominent international journals, such as IEEE Trans. Biomedical Engineering, Medical Image Analysis, Neural Networks, IEEE Signal Processing Magazine. Her research is founded by the National Natural Science Foundation of China, the National Key Research and Development Program of China, the Natural Science Basis Research Plan in Shaanxi Province of China, and several industry-sponsored projects.
Assoc. Prof. Shinji Kawakura
The Kyoto College of Graduate Studies for Informatics, Japan
Shinji Kawakura is Associate Professor at The Kyoto College of Graduate Studies for Informatics, Kyoto-Fu, Kyoto, Japan. He got his Ph.D. in Environmentology, University of Tokyo, 2015, Bunkyo-ku, Tokyo, Japan, B.A. in Control System Engineering, Tokyo Institute of Technology, 2003, Meguro-ku, Tokyo, Japan, M.A. in Human-Factor Engineering, Tokyo Institute of Technology, 2005, Meguro-ku, Tokyo, Japan. His research areas are Informatics, systems engineering, in particular various sensing systems. He has researched in diverse International and Japanese research projects. He is the author of 31 academic papers. He has published 3 patents in Japan. He is a senior member of IEEE and Hong Kong Chemical, Biological & Environmental Engineering Society (HKCBEES).