Faculty · Department of Mathematics & Statistics

Prof. N Balakrishna

I am Dr. N. Balakrishna, Professor of Statistics at IIT Tirupati. My mission is to explore the application of time series methods to analyse real-world problems.

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Publications

PhD Students

565

Citations

IIT · Tirupati

Research Areas

Mixture-of-experts at the edge

Developing robust statistical frameworks to navigate uncertainty and uncover the underlying drivers of asset price movements.

Availability estimation in repairable systems

Proposing advanced probabilistic models to quantify and optimize the steady-state and instantaneous availability of complex repairable architectures.

Chaotic time series

Exploring the hidden deterministic structures within apparently random data to improve the predictability of complex, non-linear chaotic systems.

Non-Gaussian Autoregressive-Type Time Series

Introducing robust modelling techniques that move beyond the limitations of normality to accurately represent the outliers and extreme events in stochastic time series.

About

A short bio

I am a Professor of Statistics at IIT Tirupati, having previously held various faculty positions at CUSAT. My research is featured in leading international journals, and I currently serve on the editorial boards of Communications in Statistics, the Scandinavian Journal of Statistics, and the Journal of the Indian Society for Probability and Statistics.

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Member of Professional Societies

Life member

Indian Society for Probability and Statistics.

Life member

Kerala Statistical Association.

Life member

Indian Statistical Association.

Life member

Indian Science Congress Association.

Life member

International Indian statistical Association.

Member

International Society for Business and Industrial Statistics of the ISI.

Elected member

International Statistical Institute, Netherlands since 2005.

Recent publications

2026
Wavelet Based Models for Analyzing Periodic Time Series.
Rhea Davis and Balakrishna, N.· Sankhya B: https://doi.org/10.1007/s13571-026-00406-1.
2026
Stochastic Volatility Models with Correlated Innovations.
Balakrishna, N. and Pokhriyal · Sankhya B: https://doi.org/10.1007/s13571-025-00389-5.
2025
Modeling extreme events in the presence of inliers: a mixture approach.
Shivshankar Nila, Ishapathik Das and N. Balakrishna · Journal of Applied Statistics. https://doi.org/10.1080/02664763.2025.2606244.
2025
Parsimonious modeling of periodic time series using Fourier and wavelet techniques.
Rhea Davis and N. Balakrishna · Japanese Journal of Statistics and Data Science; https://doi.org/10.1007/s42081-025-00321-1.
2025
Coherent forecasting of No-GeAR(1) model.
Divya Andrews Kuttenchalil and Balakrishna, N. · Journal of Indian Society for Probability and Statistics, 26:87–111.

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