Ramesh Govindan is the Northrop Grumman Chair in Engineering and Professor of Computer Science and Electrical Engineering at the University of Southern California. Dr. Govindan received the B.Tech degree from the Indian Institute of Technology at Madras, and the M.S. and Ph.D. degrees from the University of California at Berkeley. Prior to joining USC he was a member of the technical staff at Bell Communications Research, and a project leader at USC’s Information Sciences Institute and at the International Computer Science Institute at Berkeley.
Dr. Govindan’s research has focused on scalable and robust routing infrastructures in large networks such as the Internet, on the structural properties of the Internet, and on the architectures and programming systems for wireless and mobile networks. He is a Fellow of the ACM and of the IEEE, the recipient of the 2018 IEEE Internet Award, a former Editor-in-Chief of the IEEE Transactions on Mobile Computing, and a Distinguished Alumnus of the Indian Institute of Technology, Madras.
A complete list of publications can be found here.
Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Vienna, Austria, 2018.
2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI), pp. 48-59, 2018.
Towards Robust Vehicular Context Sensing Journal Article
IEEE Transactions on Vehicular Technology, 67 (3), pp. 1909-1922, 2018, ISSN: 0018-9545.
IEEE/ACM Trans. Netw., 26 (1), pp. 398–411, 2018, ISSN: 1063-6692.
QuickSketch: Building 3D Representations of Unknown Environments using Crowdsourcing Inproceedings
Proceedings of the 21st International Conference on Information Fusion (Fusion 2018), 2018.
AVR: Augmented Vehicular Reality Inproceedings
Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys), pp. 81–95, ACM, Munich, Germany, 2018, ISBN: 978-1-4503-5720-3.
Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys), pp. 163–177, ACM, Munich, Germany, 2018, ISBN: 978-1-4503-5720-3.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication (SIGCOMM), pp. 44–58, ACM, Budapest, Hungary, 2018, ISBN: 978-1-4503-5567-4.
University of Southern California,
Department of Computer Science
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Phone: +1 213 740-4509
Office Hours for Fall 2018: Mon 3-4:30pm