• Professor
  • William O. and Montine P. Head Fellow
  • Department of Electrical and Computer Engineering (Courtesy Appointment)
Natarajan Gautam

Educational Background

  • Ph.D., Operations Research, The University of North Carolina at Chapel Hill, July 1997.
  • M.S., Operations Research, The University of North Carolina at Chapel Hill, December 1995.
  • B. Tech., Mechanical Engineering, Indian Institute of Technology, Madras, India, July 1993.

Research Interests

    • Energy conservation and efficiency
    • Computer, communication and information networks
    • Sensor Networks: power, performance and maintenance
    • Stochastic systems, applied probability, queues and networks

Awards & Honors

  • Fellow, IISE, May 2017
  • Texas A&M-IISE Most Influential Faculty Award, April 2017
  • William O. and Montine P. Head Fellow Award, January 2017
  • Jill and Charles F. Milstead `60 Faculty Fellow (endowed fellowship appointment), May 2013 – April 2015.
  • Texas A&M-IIE Professor of the Year Award (joint-winner), April 2013.
  • Texas A&M College of Engineering: Tenneco Meritorious Teaching Award, April 2012.
  • Texas A&M IIE Advisor Appreciation Award, April 2012.
  • Outstanding Young Industrial Engineer Award (education category), by IIE, May 2006

Selected Publications

  • Kwon, S. and Gautam, N. (2016) Guaranteeing Performance based on Time-stability for Energy-efficient Data Centers, IIE Transactions, Vol. 48, No. 9, 812-825.
  • Gautam, N. and Mohapatra, A. (2015) Efficiently Operating Wireless Nodes Powered by Renewable Energy Sources, IEEE Journal of Special Areas in Communications, Vol. 33, No. 8, 1706 – 1716.
  • Ko, Y.-M. and Gautam, N. (2013) Critically loaded multi-server queues with abandonments, retrials, and time-varying parameters, INFORMS Journal on Computing, Vol. 25, No. 2, 285-301.
  • Gautam, N. (2012) Analysis of Queues: Methods and Applications, 802 pages, CRC Press(Taylor and Francis), Boca Raton, FL.
  • Mahabhashyam, S.R., Gautam, N. and Kumara, S.R.T. (2008) Resource-Sharing Queueing Systems with Fluid-Flow Traffic, Operations Research, Vol. 56, No. 3, 728-744.