Deepak Ganesan is currently Assistant Professor in the Department of Computer Science at UMASS Amherst. He received his Ph.D. in Computer Science from UCLA in 2004 and his bachelors in Computer Science from IIT, Madras in 1998. He received the NSF CAREER Award in 2006 and the IBM Faculty Award in 2008. He was selected as a UMass Junior Faculty Fellow in 2008, and a UMass Lilly Teaching Fellow in 2009.

My research interests include systems, networking and data management issues in wireless and sensor networks. I lead the Sensor Networks Research Group and am also part of SUMA, Systems at UMASS.

Current research projects include:

• STONES: Flash-based measurement studies, storage systems, and index structures for designing storage-centric networked embedded systems.
• SenSearch: A distributed image search engine to efficiently search across images stored on distributed camera sensors, imagers, and cellphones.
• Hop: Fast wireless transport for mesh networks and DTNs. Uses a combination of techniques to reduce overhead and collisions. Achieves order of magnitude improvement over TCP/UDP.
• MUDS: Design of a progressive data transmission scheme to optimize utility across multiple diverse users (meteorologist, researcher, emergency manager) in a high data-rate radar sensor network.
• RiverNet: A solar-powered sensor network comprising underwater cameras, hydrophones and temperature sensors for monitoring and modeling of rivers.

Devesh Agrawal, Deepak Ganesan, Ramesh Sitaraman, Yanlei Diao and Shashi Singh, Lazy-Adaptive Tree: An Optimized Index Structure for Flash Devices, Proceedings of the 35th International Conference on Very Large Databases (VLDB), Lyon, France, August 2009.

Ming Li, Devesh Agrawal, Deepak Ganesan and Arun Venkataramani, Block-switched Networks: A New Paradigm for Wireless Transport, Proceedings of the Sixth USENIX Symposium on Networked Systems Design and Implementation (NSDI), Boston, MA, April 2009.

Jeremy Gummeson, Deepak Ganesan, Prashant Shenoy and Mark Corner, An Adaptive Link Layer for Range Diversity in Multi-radio Mobile Sensor Networks, Proceedings of IEEE Infocom, Rio de Janeiro, Brazil, April 2009.

Full List of Publications