Faculty

Kaushik Jana joined Ahmedabad University in 2021 as an assistant professor. Prior to that, he was a postdoctoral research associate at Imperial College London (2018-2021) and was a researcher at the Alan Turing Institute. He develops statistical tools to analyse data of different types. He has a distinct preference for research problems that have direct relevance to practical issues and some of his application areas are environment and climate change, public health, cybersecurity. Professor Jana is a 2019 recipient of the Cecilia Tanner Research Impulse Award, and his work has been funded by Govt. of India, Lloyd's Register Foundation and the Alan Turing Institute among others.  

My methodological research interests include the areas of Quantile Inference, Extreme Values Statistics, and Statistical Shape Analysis with application to Climatology, Public Health, and Cyber Streaming Data Analytics. The following are publication details:

1. Deb, S. and Jana, K. (2024). Nonparametric quantile regression for time series with replicated observations and its application to climate data. Statistical Science (in press). 
2. Agrawal, K., Pathak, M., Jana, K., Unni, J., Shukla, P. (2024)  Just Transition Away from Coal: Vulnerability Analysis of Coal Districts in India, Energy Research & Social Science, Vol-108, February, 103--355 
3. Jana, K., Bhuyan, P., Veraart, A., Gandy, A. and McCoy, E., (2023) Causal Inference at Extreme Tails with Application to London Traffic Flow Data. Journal of the Royal Statistical Society, Series-C, Vol. 72, Issue 5, 1452--1474.  
4. Jana, K., and Chakoo, M., (2023) A Collaborative Pedagogy of Mixed Method Research: An Inclusive Approach in Data Science Education, The Proceedings of the Annual Conference of the International Association for Statistical Education (IASE).
5. ​ Jana, K. and Sengupta, D. (2022). Improving Linear Quantile Regression for Replicated Data, Statistics, Vol-56, No-6, Pages 1193–120
6. Gandy, A., Jana, K. and Veraart, A. (2022) Scoring Predictions at Extreme Quantiles, AStA Advances in Statistical Analysis, Vol. 106, 527–544
7. Jana, K., Basu, L., Jana, K. (2022) ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’. Journal of the Royal Statistical Society: Series A (Statistics in Society) 185(4), 1832–183
8. Jana, K., Sengupta, D., Kundu, S., Chakraborty, A. and Shaw, P. (2020). The Statistical Face of a Region under Monsoon Rainfall in Eastern India. Journal of the American Statistical Association, Vol. 115, No. 532, 1559--1573.​
9. Mukherjee, S., Chaudhuri, S., Jana, K., Bose, T., Roy, T. (2020) Profile and early prediction of the neuromotor outcome of very low birth weight infants,  Asian Journal of Medical Sciences, Vol. 12, No. 10, 51--57
10. Jana et al (2018) Developing data science tools for improving enterprise cyber-security,  The Alan Turing Institute Data Study Report by Imperial College London, Los Alamos National Laboratory, Heilbronn Institute, Report, https://www.turing.ac.uk/research/publications/data-study-group-final-report-imperial-college-london-los-alamos-national.
11. Gregory, A. and  Jana, K. (2019). Space-efficient Estimation of Empirical Tail Dependence Coefficients for Bivariate Data Streams,  Statistical Analysis and Data Mining: The American Statistical Association Data Science Journal, 1--17
12. Jana, K., Sengupta, D. and Rudra, K. (2016). Correction of Bifurcated River Flow Measurements from Historical Data: Paving the Way for Teesta Water Sharing Treaty, Annals of Applied Statistics, Vol. 10, No. 3, 1757--1775

• Editorial board member of the Journal of Multivariate Analysis (2021-2024). Member of the Editorial Board.
• Scientific committee members for the International Indian Statistical Association annual conference at Kochi, Kerala, India, from December 27-31, 2024
• Scientific Committee Member of International Indian Statistical Association's Annual Conference, Colorado, USA, June 1-4, 2023
• Scientific Committee Member of International Indian Statistical Association's Annual Conference, IISc, Bangalore, December 26-29, 2022

• International Statistical Institute (ISI)
• Institute of Mathematical Statistics (IMS)
• Fellow of the Royal Statistical Society (RSS)
• International Indian Statistical Association (IISA)
• Isaac Newton Institute (INI), Cambridge, UK

• Artificial Intelligence for Climate Extremes (2023) [SERB-DST Core Research Grant to set up CoE on AI/ML in Climate Sciences in collaboration with IIT Bombay, IIT Gandhinagar, CSIR Fourth Paradigm Institute and Ahmedabad University. Center’s Principal Investigator: Dr. Subimal Ghosh, Co-PI are Arpita Mondal (IIT B), N Hemachandra (IIT B), Rajendran K (CSIR Fourth Paradigm Institute), Kaushik Jana (Ahmedabad University), Udit Bhatia (IIT GN).
• Designing Effective Nudges for Citizenship Behaviour, Health and Sustainability: Role of Psychological Ownership (2023-25).  Principal Investigator Mahendra Singh Rao, Ahmedabad University and Co-Principal Investigator Kaushik Jana. Challenge Grant by Ahmedabad University.
• Climatic Understanding of Dengue Spread in Urban Landscapes (2022-25) [Interdisciplinary research grant by Ahmedabad University, 2022-25], PI and Co-PI: Dr. Aditya Vaishya, Darshini Mahadeviya, Bhargav Advaryu, Kaushik Jana and Subhash Rajpurahit.
• Regional Covid Infection Explorer and Forecaster in the Indian Context (2021) [PI, Seed Grant by Ahmedabad University, 2021-22]