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| | 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 |
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Algorithm and symbolic combinatorics: an invitation to analytic combinatorics in several variables
Melczer S., Springer International Publishing, New York, NY, 2021. 436 pp. Type: Book (978-3-030670-79-5)
Analytic combinatorics is a powerful branch of modern mathematics with several applications to physics and computer science, not to speak of mathematics itself. Melczer has done a good job of mathematically encompassing the issues rela...
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Aug 17 2022 |
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Discrete mathematics: a concise study companion and guide
Erciyes K., Springer, Switzerland, 2021. 352 pp. Type: Book (978-3-030611-14-9)
For today’s students of computer science (CS), engineering, and mathematics, discrete mathematics is considered a fundamental course demanding in-depth study. The author employs an algorithmic approach, quite rightfully, to w...
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Jul 12 2022 |
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A First Look at Stochastic Processes
Rosenthal J., WORLD SCIENTIFIC, Singapore, 2020. 202 pp. Type: Book (978-9-811208-97-3)
Although intended as a textbook, Rosenthal’s A first look at stochastic processes is not quite there. However, it is still a very interesting and useful text with a good account of challenging problems. While the autho...
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Jul 1 2022 |
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 BlockQuicksort: avoiding branch mispredictions in Quicksort
Edelkamp S., Weiß A. Journal of Experimental Algorithmics 24(1): 1-22, 2019. Type: Article
Quite often algorithms with bad worst-case complexity perform better on the average. Quicksort falls into this class. However, one of the drawbacks of Quicksort is that it is vulnerable to branch mispredictions, that is, branch misses....
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Apr 1 2022 |
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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 an...
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Jun 24 2020 |
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Concepts of soft computing: fuzzy and ANN with programming
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...
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Apr 29 2020 |
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Core data analysis: summarization, correlation, and visualization (2nd ed.)
Mirkin B., Springer International Publishing, New York, NY, 2019. 540 pp. Type: Book (978-3-030002-70-1), Reviews: (1 of 2)
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 ...
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Mar 12 2020 |
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Basic music technology: an introduction
Mazzola G., Pang Y., Heinze W., Gkoudina K., Pujakusuma G., Grunklee J., Chen Z., Hu T., Ma Y., Springer International Publishing, New York, NY, 2018. 200 pp. Type: Book (978-3-030009-81-6)
Any technology can be an applied science that is of use to society. Technology related to music assists in both its creativity and its management. More precisely, the term “music technology,” as defined by the autho...
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Aug 30 2019 |
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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 d...
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Jun 5 2019 |
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Learning representation for multi-view data analysis: models and applications
Ding Z., Zhao H., Fu Y., Springer International Publishing, New York, NY, 2019. 268 pp. Type: Book (978-3-030007-33-1)
Ding et al.’s Learning representation for multi-view data analysis not only provides cutting-edge research on multi-view data representation and analysis, but also provides several visual applications and practical cha...
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May 7 2019 |
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