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Vaibhav Srivastava

Postdoctoral Research Associate
Department of Mechanical and Aerospace Engineering,
Princeton University
Email: vaibhavs -at- princeton.edu
Office: D-202D Engineering Quadrangle, Princeton, NJ 08544

Research Interests

Stochastic analysis and design of risk averse algorithms for uncertain systems, including:

  • mixed human-robot networks

  • robotic and mobile sensor networks

  • computational networks

Recent Updates

  • March 2013: Submitted our work on Speed-Accuracy Trade-off in Collective Decision Making and Modeling Human Decision Making in Gaussian Bandits to CDC 2013

  • January 2013: Started my Postdoc at Princeton University

  • October 2012: Defended my PhD dissertation

  • October 2012: Submitted our work on Knapsack Problems with Sigmoid Utility to EJOR

  • September 2012: Our work on Stochastic Surveillance to appear in IJRR

  • June 2012: Presented our work on Adaptive Attention Allocation in Human-Robot Teams at ACC

Selected Publications

  • V. Srivastava, F. Pasqualetti, and F. Bullo. Stochastic Surveillance Strategies for Spatial Quickest Detection. International Journal of Robotics Research, Oct 2012. Note: To appear. pdf

  • V. Srivastava, R. Carli, C. Langbort, and F. Bullo. Attention Allocation for Decision Making Queues. Automatica. Jan 2013. Note: Conditionally accepted. pdf

  • V. Srivastava, K. Plarre, and F. Bullo. Randomized Sensor Selection in Sequential Hypothesis Testing. IEEE Transactions on Signal Processing, 59(5):2342-2354, 2011. pdf

Bio

Vaibhav Srivastava was born in Lucknow, Uttar Pradesh, India. He is a postdoctoral research associate at Princeton University. He received the B. Tech. degree in Mechanical Engineering from IIT Bombay in 2007. He received the M.S. degree in Mechanical Engineering and the M.A. degree in Statistics from UC Santa Barbara in 2011 and 2012, respectively. He received the Ph.D. degree in Mechanical Engineering from UC Santa Barbara in 2012. His research interests include design and analysis of mixed human-robot networks, robotic/mobile sensor networks, and computational networks.