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Kishor S. Trivedi, Hudson Professor of Electrical and Computer Engineering and Professor of Electrical and Computer Engineering at Duke Kunshan University and Professor of Computer Science


Kishor S. Trivedi

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 Life 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 97, 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 in Nov. 2015. This book has  appeared as a paperback in July 2016.He has also published two other books titled, Performance and Reliability Analysis of Computer Systems, published by Springer and Queueing Networks and Markov Chains by John Wiley. His latest book, Reliability and Availability Engineering: Modeling, Analysis and Applications, is published by Cambridge University Press in 2017.

Contact Info:
Office Location:  Science Drive, 203 Hudson Eng Ctr, Durham, NC 27708-0291
Office Phone:  (919) 660-5269
Email Address: send me a message
Web Pages:

Teaching (Fall 2018):

    Teer 203, WF 10:05 AM-11:20 AM


Ph.D.University of Illinois1974
M.S.University of Illinois1972
B.Tech.Indiain Institute of Technology, Bombay, India1968
B.S.E.E.Indian Institute of Technology (India)1968


Computer Engineering
Failure Analysis
Fault Tolerance

Research Interests: Reliability, Availability, Queueing, Software reliability


Computer networks • Fault tolerance (Engineering) • Markov Chains • Measurement • Modeling • Performance • Reliability • Software architecture • Software maintenance • Stochastic Processes

Recent Publications   (More Publications)   (search)

  1. Liu, B; Chang, X; Han, Z; Trivedi, K; Rodríguez, RJ, Model-based sensitivity analysis of IaaS cloud availability, Future Generation Computer Systems, vol. 83 (June, 2018), pp. 1-13 [doi]  [abs]
  2. Gribaudo, M; Pinciroli, R; Trivedi, K, Epistemic Uncertainty Propagation in Power Models, Electronic Notes in Theoretical Computer Science, vol. 337 (May, 2018), pp. 67-86 [doi]
  3. Pinciroli, R; Bobbio, A; Boichini, C; Cerotti, D; Gribaudo, M; Miele, A; Trivedi, K, Epistemic uncertainty propagation in a Weibull environment for a two-core system-on-chip, 2017 2nd International Conference on System Reliability and Safety, Icsrs 2017, vol. 2018-January (January, 2018), pp. 516-520, ISBN 9781538633229 [doi]  [abs]
  4. Vizarreta, P; Trivedi, K; Helvik, B; Heegaard, P; Kellerer, W; MacHuca, CM, An empirical study of software reliability in SDN controllers, 2017 13th International Conference on Network and Service Management, Cnsm 2017, vol. 2018-January (January, 2018), pp. 1-9, ISBN 9783901882982 [doi]  [abs]
  5. Machida, F; Xia, R; Trivedi, KS, Performability Modeling for RAID Storage Systems by Markov Regenerative Process, Ieee Transactions on Dependable and Secure Computing, vol. 15 no. 1 (January, 2018), pp. 138-150 [doi]