Jie Wu Elected Fellow of the AAAS

Jie Wu, Laura H. Carnell Professor of Computer Science and Director, Center for Networked Computing has been elected as a fellow of the American Association for the Advancement of Science (AAAS).
 
Dr. Wu will be presented with an official certificate and a gold and blue rosette pin, representing science and engineering, on Feb. 16, 2019 at the association’s annual meeting in Washington, D.C. He is being recognized "For distinguished contributions to the field of computer networking, particularly for modeling, protocol design, applications for wireless networks and mobile computing."
 
Professor Wu’s research impact and productivity to date have been exceptional. According to Google Scholar he has attained an H-index of 85 and his collective work has amassed nearly 30,000 citations! Based on such ranking as guide2research, Dr. Wu ranks 204 in the world and 148 in the U.S. in terms of research impact.
 
Jie Wu’s research spans from distributed and parallel computing (late 1980s to early 2000s) to wireless and mobile computing (early 2000s to present). His research has both depth and breadth. In Microsoft Academic Search (which has 24 CS domains), his global ranking is within the top100 under both “Distributed & Parallel Computing” and “Networks & Communications.”
 
Dr. Wu's early research dealt with parallel systems and distributed computing. He has well-known contributions addressing many topics of importance to the parallel-processing and distributed-computing communities, including various types of fault-tolerant and deadlock-free routing approaches, interconnection networks, and many graph theory applications in computer science. Since 1999, his research focus has shifted to mobile ad hoc networks (MANETs) and he has been credited for fundamental contributions to the theory and design of routing and broadcasting protocols for MANETs.
 
Since the late 2000s, Dr. Wu's research has focused on information dissemination in delay-tolerant networks (DTNs) and mobile social-networks. More recently, he has proposed using the internal social feature nodes in human contact networks (special types of DTNs) for routing and has moved to examine resource allocation related applications in various wireless, mobile and wired networks.