- Professor, Industrial & Systems Engineering and Electrical & Computer Engineering
- Phone: 979-458-2345
- FAX: 979-458-4299
- Email: Gautam@tamu.edu
- Office: ETB 4012
- Website: Personal Website

Educational Background
- Ph.D., Operations Research, The University of North Carolina at Chapel Hill - 1997
- M.S., Operations Research, The University of North Carolina at Chapel Hill - 1995
- B. Tech., Mechanical Engineering, Indian Institute of Technology, Madras, India - 1993
Research Interests
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- Logistics: Real-time delivery and dispatch
- Energy conservation and efficiency
- Computer, communication and information networks
- Analytics: Predictions and decisions under uncertainty
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.