Delivering Cohesive, New Insights
R Venkatesha Prasad completed his Ph.D. from IISc, Bangalore, India in 2003. During his Ph.D. research, a scalable VoIP conferencing platform was designed. Many new ideas including a conjecture were formulated and tested by developing an application suite based on the research findings. The work involved understanding of network protocols, application design, and human computer interface. Part of the thesis lead to a startup venture, Esqube Communication Solutions, headed by professors from IISc. He was leading a team of up to ten engineers, developing many real-time applications including bridging anonymous VoIP calls called Click-to-Talk for Ebay.com. While at Esqube, eight patent applications and three PCT applications were filed along with his colleagues. Esqube was selected as top 100 IT innovators in India in 2006 by NASSCOM and top 100 in promising companies in Asia by RedHerring in 2008. He worked for Esqube from 2006 to 2009 on a part-time basis as a senior design consultant. In 2005, he joined TUDelft as a PostDoc to work on the EU FP7 Magnet Project and the Dutch project PNP-2008 on Personal Networks (PNs). His work involved evolving PN network architecture and foreign communication. The work resulted in an ECMA report. He also started working on Cognitive Radio Networks (CRNs) and 60GHz networks for future homes. He is contributing to IEEE standards on CRNs. Now, his work involves the Internet of Things (IoT), Cyber Physical systems (CPS) and energy harvesting networks. He is working on EU funded iCore project on IoTs. At TUDelft, he has been supervising PhD and MSc students. He is teaching two courses after getting his diploma in 3TU University Teaching Qualification. The work at TUDelft resulted in 180+ publications. He is also contributing to the academic community by leading many IEEE activities, such as memberships of standards boards, leading technical committees, apart from reviewing & organizing conferences and workshops. He is a senior member of ACM & IEEE.
Using CrowdSignals.io Data
Data is everywhere but they are all fragmented. Venkatesha expects to use CrowdSignals data to deliver a cohesive and new insights. It is important that data need to be collected with specific plan and with caution. He hopes to use the data from CrowdSignals for his research as well as his courses and to find developing "knowledge" from this data going one step above the "information processing".Learn More
TU Delft Page: http://homepage.tudelft.nl/w5p50Homepage: https://sites.google.com/site/rvenkateshaprasad/
