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.  

Some of my methodological research interests are in Functional Data Analysis, Extreme Values, and Streaming Data Analytic with application to climatology, extreme event prediction, policymaking, public health and cyber streaming data analytics.  Following are areawise projects and publications:

Statistics in Environment and Climate

• ​ 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.​
• Jana, K. and Sengupta, D. (2020+). Improving Linear Quantile Regression for Replicated Data, (revision submitted)
• Deb, S. and Jana, K. (2021+). Nonparametric quantile regression for time series with replicated observations and its application to climate data (under review)
• Gandy, A.,  Jana, K. and Veraart, A. (2022) Scoring Predictions at Extreme Quantiles, AStA Advances in Statistical Analysis, https://doi.org/10.1007/s10182-021-00421-9
• Jana, K., Bhuyan, P., Veraart, A.,  Gandy, A and McCoy, E (2021+) Causal Inference at Extreme Tails with Application to London Traffic Flow Data (Under review)

Statistics in Policy

• 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
• Biswas, A. and Jana, K.  'Tussle over Teesta' newspaper article published in The Statesman (22 November 2019).[https://www.thestatesman.com/opinion/tussle-over-the-teesta-1502825171.html]
• Biswas, A. and Jana, K. 'On the issue of Teesta river's water sharing', published in a daily Bengali newspaper, Uttar Banga Sambad on (25 May 2017).

Public Health

• 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
• Puhan, S., Chaudhuri, S., Jana, K. (2021+) A prospective observational study on the role of Thompson score in predicting neuromotor outcome in a tertiary care pediatric hospital (ongoing project)
• Pradhan, A, Chaudhuri, S., Jana, K. (2021+) Perfusion Index as an early predictor of shock in the sick newborn of less than 72 hrs age and its correlation with Superior Venacaval flow in a tertiary care pediatric hospital (ongoing project)

Streaming Data Analysis

• 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, available from https://www.turing.ac.uk/research/publications/data-study-group-final-report-imperial-college-london-los-alamos-national.
• 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

• Editorial board member of Journal of Multivariate Analysis (2021-)
• Scientific Committee Member of International Indian Statistical Association's Annual Conference 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.