Teega Venkateswararao

Teega Venkateswararao

Assistant Professor
venkateswararao.teega@mahindrauniversity.edu.in

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

  • Post Doc: Chinese University of Hong Kong, Hong Kong, November 2024 – May 2025.

Ph.D.

  • Ph.D. (Statistics) from IIT Hyderabad, 2019-2024.

M.Sc

  • M.Sc (Statistics) from the University of Hyderabad, 2010-2012.

B.Sc

  • B.Sc (Statistics) from Andhra Loyola College, Vijayawada (Acharya Nagarjuna University), 2007-2010.

Experience

  • 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).

Publications

2025

  • 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.

2024

  • 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

2023

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