Beijing Key Lab of Intelligent Telecommunications Software and Multimedia
Beijing University of Posts and Telecommunications
Bio-inspired Optimization for IoT Networking
Bio-inspired algorithms have been investigated since more than two decades. Findings in this field have fostered new developments in networking, especially in the most challenging domains of IoT, such as handling large-scale networks, dynamic nature, resource constraints, heterogeneity, and robustness. This talk aims to introduce the key concepts and methodologies of bio-inspired networking. Selected examples outline the activities of our group working on bio-inspired optimization solutions for IoT networking.
Huadong Ma is a Chang Jiang Scholar professor and director of Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, executive dean of School of Computer Science, Beijing University of Posts and Telecommunications, China. He received his PhD degree in Computer Science from the Institute of Computing Technology, Chinese Academy of Science in 1995, his MS degree in Computer Science from Shenyang Institute of Computing Technology, Chinese Academy of Science in 1990, and his BS degree in Mathematics from Henan Normal University in 1984. From 1999 to 2000, he held a visiting position in the Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, Michigan. He was a visiting professor at The University of Texas at Arlington from July to September 2004. His current research focuses on multimedia computing, sensor networks and Internet of things, and he has published over 200 papers in journals (such as ACM/IEEE Transactions) or Conferences (such as IEEE INFOCOM, ACM MM) and 4 books on these fields. He was awarded National Funds for Distinguished Young Scientists in 2009.