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Soubhik Chakraborty
Department of Mathematics, BIT Mesra
Ranchi, India
 

Soubhik Chakraborty obtained his PhD from T.M. Bhagalpur University (2005) where he initially served as a lecturer in statistics. Currently, he is a professor in the Mathematics Department of the Birla Institute of Technology (Mesra, Ranchi, India). He has published two books, A Computer Experiment Oriented Approach to Algorithmic Complexity (co-authored by S.K. Sourabh) Lambert Academic Publishing 2010, and Computational Musicology in Hindustani Music (co-authored by G. Mazzola, S. Tewari and M. Patra) Springer 2014. He has published a research monogram titled Raga Analysis Using Artificial Neural Network (co-authored by P. Prasoon) Lambert Academic Publishing 2014. He has also published over 90 papers on algorithms, statistical computing, and music analysis, and has over 18 years of teaching experience. An ACM, IEEE, and AMS reviewer (for Computing Reviews, Transactions on Computers, and Mathematical Reviews, respectively) and a member of the Editorial Boards of the IAENG International Journal of Computer Science and the American Journal of Theoretical and Applied Statistics, he is also a reviewer for the Journal of Applied Probability and Statistics, the Journal of Applied Statistics, the Journal of Computational and Applied Mathematics, the Electronic Journal of Applied Statistical Analysis, and the Journal of Statistical Computation and Simulation. A life member of the Indian Statistical Institute and the Acoustical Society of India, he was an INSA Visiting Scientist (2004) and a recipient of a National Merit Scholarship (1988-1990). He recently received three awards from the India International Friendship Society: the Glory of India Award (2012), the Rajiv Gandhi Excellence Award (2012), and Shiksha Rattan Puraskar (2012). In addition, he was awarded the Glory of India Gold Medal (2012) by the International Institute of Success Awareness, a National Award for Teaching Excellence (Mathematics) by The Indus Foundation (2013), Best Academic Researcher award by the Association of Scientists, Developers, and Faculties a unit of the Techno Forum Group (2013), and Best Educationist Award by the International Institute of Education and Management (2015).

An amateur harmonium player (North Indian Classical) and a former flautist, currently he is the associate editor of Ninad, Journal of the ITC Sangeet Research Academy. He describes himself as a statistician by profession and a music analyst by choice. Technically speaking, this means he is a commonality expert by profession and a diversity specialist by choice. He has also been the professor in charge of the Society for Promotion of Indian Classical Music and Culture Amongst Youth (SPIC-MACAY) at his institute.

Bio updated Oct. 28, 2015


     

Data analysis in bi-partial perspective: clustering and beyond
Owsinski J.,  Springer International Publishing, New York, NY, 2020. 153 pp. Type: Book (978-3-030133-88-7)

Owsinski’s book provides an interesting “bi-partial” strategy for analyzing data; it is not only uniquely general, but also successful in building several useful methods to tackle issues related to data analysis, including algori...

 

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Chakraverty S., Sahoo D., Mahato N.,  Springer International Publishing, New York, NY, 2019. 195 pp. Type: Book

Soft computing, a branch of artificial intelligence (AI), deals with computations involving uncertainty in complex real-world problems (as opposed to hard computing, which deals with computations involving certainty only encountered in ideal situa...

 

Can background music facilitate learning?: Preliminary results on reading comprehension
Hu X., Li F., Kong R.  LAK 2019 (Proceedings of the 9th International Conference on Learning Analytics & Knowledge, Tempe, AZ,  Mar 4-8, 2019) 101-105, 2019. Type: Proceedings

In my experience, humming a tune or listening to some soft music helps with learning. But does any background music help, or only some specific type? Hu et al. address this question here. The authors conducted an experiment with four different typ...

 

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Mirkin B.,  Springer International Publishing, New York, NY, 2019. 540 pp. Type: Book (978-3-030002-70-1)

Data science recently emerged as a hot topic. Mirkin’s book explores the strength of data analysis from both data summarization and knowledge discovery points of view. In addition to quantified summarization, correlation and visualization (g...

 
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