Kishor S. Trivedi
Hudson Professor of Electrical and Computer Engineering, in the Edmund T. Pratt, Jr. School of Engineering
Kishor Trivedi heads Duke High Availability Assurance Laboratory (DHAAL) and holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University. He is known as a leading international expert in the domain of reliability and performability evaluation of Dependable systems, and has made seminal contributions to stochastic modeling formalisms and their efficient solution. He is currently carrying out experimental research in software reliability during operation where he is researching software fault tolerance through environmental diversity. This work, including software bug classification, empirical study of real failure data and associated theory of affordable software fault tolerance, has already gained significant attention.
He has made key contributions to his field in many ways. He has encapsulated developed algorithms into usable and well circulated software packages, and applied research results to practical problems working directly with industry. This work has not only been able to solve difficult real-life problems but also produce new research based on the problems. He has published over 600 articles, has supervised 46 Ph.D. dissertations and more than 30 postdoctoral associates. He is a Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He has served on many editorial boards and conference committees and is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. He is on ISI’s highly cited list with an h-index of 86, and has received grants from such governmental agencies as NASA, NATO, NSF, DARPA, AFOSR, ARO, NIH, NSWC, ONR, and RADC.
Trivedi has also helped several high-profile companies carry out reliability/availability prediction of their products under design or in existence, including 3Com, Avaya, Boeing, Cisco, DEC, EMC, GE, HP, Huawei, IBM, Lucent, NEC, TCS, Union Switch and Signals, Wipro. Most notable among these, is his help in reliability modeling of the current return network subsystem of the Boeing 787 for FAA certification. The algorithm he developed for this problem has been jointly patented by Boeing and Trivedi. He led the reliability/availability modeling of SIP on IBM WebSphere; this model was responsible for the sale of the system by IBM to AT & T.
Furthermore, Trivedi has written several influential books, including textbooks. He is the author of a well-known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, originally published by Prentice-Hall; a thoroughly revised second edition (including its Indian edition) has been published by John Wiley. This book is translated into Chinese. He has also published two other books titled, Performance and Reliability Analysis of Computer Systems, published by Kluwer and Queueing Networks and Markov Chains, John Wiley. He is completing a new book on Reliability and Availability Engineering for Cambridge University Press.
Appointments and Affiliations
- Hudson Professor of Electrical and Computer Engineering, in the Edmund T. Pratt, Jr. School of Engineering
- Professor of Electrical and Computer Engineering
- Office Phone: (919) 660-5269
- Ph.D. University of Illinois, 1974
- M.S. University of Illinois, 1972
- B.S.E.E. Indian Institute of Technology (India), 1968
Awards, Honors, and Distinctions
- ONR Faculty Fellow Summer 2015. ONR. 2015
- Fellow. Japan Society for the Promotion of Science. 2014
- NordsecMob Scholar. Norwegian University of Science and Technology. 2014
- Doctor Honoris Causa. USMP, Lima, Peru. 2012
- Technical Achievement Award. IEEE Computer Society. 2008
- Traditional Fulbright Scholarship. Council for International Exchange of Scholars. 2002
- Fellow. IEEE. 1992
- COMPSCI 555: Probability for Electrical and Computer Engineers
- ECE 555: Probability for Electrical and Computer Engineers
- ECE 557: Performance and Reliability of Computer Networks
- ECE 891: Internship