Watson Institute for International and Public Affairs

Ravi Pendse

ravi_pendse@brown.edu
+1 401 863 7250
302 B, University Hall

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Ravi Pendse

Vice President for Computing & Information Services/CIO

Biography

Ravi Pendse serves as the Vice President and Chief Information Officer at Brown University. He has extensive experience in technology leadership, ERP projects, change management, network design and security, digital classroom design, and library systems. He is also a Professor of Practice in Computer Science and Engineering. He is a Brown University Cisco Fellow and Senior member of IEEE. He received his BSEE degree from Osmania University and PhD degree from Wichita State University in 1994. He serves on the higher education advisory group at Microsoft and on the board of High Touch Technologies. He has great interest in entrepreneurship and is working with several Brown students to assist them in various entrepreneurial initiatives in the technology space. He is very passionate about the future of technology and its impact on higher education. He loves to shares ideas in the field of technology and leadership. He has won numerous awards for innovative and outstanding teaching.

Research

Ravi Pendse research interests are in the areas of Internet of Things, cybersecurity and policies, and ad hoc sensor networks. He has published more than 140 papers in peer reviewed conference proceedings and journals. His publications include impact of cloud computing to mobility to enhance sustainability. He has worked with FAA to evaluate the impact on security from networked airplanes. He has published extensively in the area of ad hoc networks and related topics. Currently he is working on building an IOT lab at Brown University. In this lab, we will be able to evaluate the impact of global connectedness on security and related policies.  

Publications

  1. T. Ghose*, V. Namboodiri, and R. Pendse, “Thin is Green: Leveraging the Thin Client Paradigm for Sustainable Mobile Computing,” Computers and Electrical Engineering, Accepted for publication, March 2015.

  2. A. Asaduzzaman, R. Chaturvedula*, and R.Pendse, “A Novel Folded-Torus Based Network Architecture for Power-Aware Multicore Systems, Computers and Electrical Engineering, Volume 39, Issue 8 pp. 2494 – 2506, September 2013.  

  3. H. Hatime*, R.Pendse, and J. Watkins, “A Comparative Study of Task Allocation Strategies in Multi-Robot Systems,” IEEE Sensors Journal, Volume 13, Issue 1 pp. 253 – 262, January 2013.  

  4. K. Namuduri and R.Pendse, “Analytical Estimation of Path Duration in Mobile Ad Hoc Networks,” IEEE Sensors Journal, Volume 12, Issue 6 pp. 1828 – 1835, 2012.

  5. N. Jaggi, S. Madakasira*, S. Mereddy*, and R.Pendse, “Adaptive Algorithms for Sensor Activation in Renewable Energy based Sensor Systems,” Elsevier Adhoc Networks, DOI: 10.1016/j.adhoc.2011.04.008, April 2011.

  6. V. Namboodiri and R. Pendse, “Bit Level Synchronized MAC Protocol for Multi-Reader RFID Networks,” EURASIP Journal on Wireless Communications and Networking, Volume 2010, pp. 1 – 15, April 2010.  

  7. N Thanthry*, I. Emmadi*, A. Srikumar*, K. Namuduri, and R Pendse, “SVSS: Intelligent Video Surveillance System for Aircraft,” IEEE Aerospace and Electronic System Magazine, Volume 24, Issue 10, pp. 23 – 29, October 2009. 

Teaching

ENGN0931-S01 Internet of Everything

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