Kaushik Jana have methodological interests amongst other things in Functional Data Analysis, Shape Analysis and Extreme Value modelling. These methodologies are motivated by various complex data arising from environmental and cyber security applications.
He is a research associate in Statistics Section of Imperial College London and is working in the Alan Turing Institute --Lloyds Register Foundation Programme on Data-Centric Engineering. He received a PhD in Statistics from Indian Statistical Institute.
Jana K, Sengupta D, Rudra K, 2016, CORRECTION OF BIFURCATED RIVER FLOW MEASUREMENTS FROM HISTORICAL DATA: PAVING THE WAY FOR THE TEESTA WATER SHARING TREATY, Annals of Applied Statistics, Vol:10, ISSN:1932-6157, Pages:1757-1775