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Teega Venkateswararao

Quick facts

Dr. Teega Venkateswararao is an Assistant Professor of Mathematics at École Centrale School of Engineering, Mahindra University, with a Ph.D. in Statistics from IIT Hyderabad (2019–2024), following an M.Sc in Statistics from the University of Hyderabad and B.Sc from Andhra Loyola College, Vijayawada. He previously served as Assistant Professor of Statistics at RGUKT (RK Valley and Nuzvid) and was a research assistant and post‑doc at the Chinese University of Hong Kong, and his research in system reliability, stochastic orders, copulas and system signatures appears in leading journals such as Journal of Applied Probability, Advances in Applied Probability and Applied Stochastic Models in Business and Industry, including recent work on redundancy allocation and coherent system construction via signatures.

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Teega Venkateswararao

Assistant Professor

Dr. Teega Venkateswararao is an Assistant Professor in the Department of Mathematics at the École Centrale School of Engineering, Mahindra University.. Previously, he was a research assistant in the Department of Statistics at Chinese University of Hong Kong, Hong Kong. He received his Ph.D. in Statistics from IIT Hyderabad. His research interests include system reliability, stochastic orders, copulas, and system signatures. He has published research articles in reputed international journals such as Journal of Applied Probability, Advances in Applied Probability and Applied Stochastic Models in Business and Industry. Dr. T. V. Rao integrates rigorous research with dedicated teaching, aiming to inspire analytical and statistical thinking among students.

  • Post Doc: Chinese University of Hong Kong, Hong Kong, November 2024 – May 2025.
  • Ph.D. (Statistics) from IIT Hyderabad, 2019-2024.
  • M.Sc (Statistics) from the University of Hyderabad, 2010-2012.
  • B.Sc (Statistics) from Andhra Loyola College, Vijayawada (Acharya Nagarjuna University), 2007-2010.

Publications
  • T. V. Rao and Naqvi. S , An algorithm to construct coherent systems using signatures, Journal of Applied Probability. 2025;62(1):347-366. doi:10.1017/jpr.2024.60.
  • Ravi Kumar, T. V. Rao and Naqvi. S , Redundancy allocation for series and parallel systems: A Copula based Approach, Applied Stochastic Models in Business and Industry. 41.1 (2025): e2928. doi: 10.1002/asmb.2928.
  • T. V. Rao and Naqvi. S, Preservation of mean inactivity time ordering for coherent systems, Advances in Applied Probability. 2024; 56(2): pp.666-692. doi: 10.1017/apr.2023.41.
  • T. V. Rao and Naqvi. S, Comparisons of coherent systems with two types of heterogeneous components having proportional reversed hazard rates, Applied Stochastic Models in Business and Industry. 2024; 40(2) pp.483-511. doi: 10.1002/asmb.2826
  • T. V. Rao and Naqvi. S, Quantifying Reliability in a Complex Safety-Critical System: A Copula and Distorted Distribution Approach, 7th International Conference on System Reliability and Safety (ICSRS), Bologna, Italy, IEEE, 2023, pp. 159-163. doi: 10.1109/ICSRS59833.2023.10381304.

  • Assistant Professor, Department of Mathematics, Ecole Centrale School of Engineering, Mahindra University (May, 2025 to present).
  • Research assistant, Department of Statistics, Chinese University of Hong Kong (November, 2024 – May, 2025).
  • Assistant Professor in Statistics, Department of Mathematics, RGUKT-Nuzvidu (November, 2014 – July, 2019).
  • Lecturer in Statistics, Department of Mathematics, RGUKT-RK Valley (August, 2012 – November, 2014).

  • System Reliability
  • Applied Statistics
  • Stochastic Orders
  • Copulas
  • System Signatures
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