Speaker on ICMAI 2019

 

Prof. En-Bing Lin, Central Michigan University, USA

Dr. En-Bing Lin is Chair and Professor of Mathematics at Central Michigan University, USA. He has taught and visited at several institutions including Massachusetts Institute of Technology, University of Wisconsin-Milwaukee, University of California, Riverside, University of Toledo, UCLA, and University of Illinois at Chicago. He received his Ph. D. in Mathematics from Johns Hopkins University. His research interests include Data Analysis, Image Processing, Applied and Computational Mathematics, Wavelet Analysis and Applications, and Mathematical Physics. He has supervised a number of graduate and undergraduate students. Dr. Lin serves on the editorial boards of several mathematics journals and several academic committees of regional and national associations. He has organized several special sessions at regional IEEE conference and American Mathematical Society national and regional meetings.

 

 

Assoc. Prof. Qing Tan,
School of Computing and Information Systems, Athabasca University, Canada

Dr. Qing Tan is an associate professor in School of Computing and Information Systems at Athabasca University, Canada. He was born and raised in Chengdu. He left his beloved hometown in 1977 to study Aviation Automation at the Northwest Polytechnic University. He earned his PhD in Cybernetics Engineering for Robotics from the Norwegian Institute of Technology (NTNU - Norwegian University of Science and Technology) in 1993. As a foreign senior research fellow, he did the research on Telepresence Robot for the human acts simulation program at the Japan Atomic Energy Research Institute in 1994. He did his post-doctorial fellowship at University of Alberta in 1996. He joined Athabasca University in 2007 with extensive IT industrial working experiences in Canada. Dr. Tan is teaching and developing both undergraduate and graduate courses including Mobile Computing, Computer Networking, E-Commerce, Enterprise Modeling, Cloud Computing, and Big Data Analytics. Dr. Tan’s research interests and engagements include Location-Based Technologies, Mobile Computing, Adaptive Mobile Learning, Telepresence Robot, Cloud Computing, Internet of Things, Big Data Analytics, Cyber-Physical Systems, and Computer Network and Cyber Security. Dr. Tan received several Canadian national and provincial research grants. He has published many research papers on International journals and conferences. He also sits on many international journal editor boards and various conference committees.