I am an M.Sc. (Statistics), PhD (Science) and NET (UGC/CSIR) in Mathematical Sciences. My research interests are algorithm analysis, music analysis and statistical computing. I have published several books, research monograms and research papers in peer reviewed journals of international and national repute in these areas apart from guiding several research scholars leading to PhD.
I am also an acknowledged reviewer associated with ACM, AMS and IEEE. I have been a visiting scientist twice to Indian Statistical Institute (Bangalore Centre in 2002, Kolkata Centre in 2004, the latter under INSA fellowship).
I am a leading figure in computational musicology who has written the first book on the topic (in the context of Hindustani music; see ref [1] in my relevant publications). I have also been the principal investigator of a UGC major research project titled Analyzing the structure and performance of Hindustani classical music through statistics, the first project on computational musicology in my institute.
I have received several awards in both teaching and research including the National Award for Teaching Excellence (Mathematics) given by Indus Foundation (2013) and the Best Academic Researcher Award 2013 given by Association of Scientists, Developers and Faculties (2013). Prior to joining this institute in 2006 (Nov 30), I served as a lecturer in Statistics at T.M. Bhagalpur university where I taught Statistics at both undergraduate and postgraduate levels for about ten years.
My Relevant Publications (books)
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- Soubhik Chakraborty, Guerino Mazzola, Swarima Tewari and Moujhuri Patra, Computational Musicology in Hindustani Music, Springer, 2014
- Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto, Anirban Patranabis, Signal Analysis of Hindustani Classical Music, Springer, 2017
- Shashi Bhushan Singh, Soubhik Chakraborty, Keashav Mohan Jha, Satish Chandra, Shanti Prakash and Swarima Tewari, Music and Medicine: Healing Brain Injury through Ragas, CBH publications, 2016
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