"Statistical Training" from Indian Statistical Institute, Kolkata

Certificate in Computer Applications from XISS, Ranchi

Orientation Course (UGC)

Refresher Course (Indian Academy of Sciences, Bangalore)

Workshop in Effective Teaching (BIT Mesra)

Visiting Scientist at Indian Statistical Institute, Kolkata under fellowship of Indian National Science Academy (INSA)

Visiting Scientist at Indian Statistical Institute, Bangalore

Convener, Seminar on Applications of Statistics in Sciences & Engineering (ASSE-2021) organized by Department of Mathematics, BIT Mesra, Ranchi from March 05-06, 2021

Joint Organizing Secretary, 88^th Annual Conference of the Indian Mathematical Society (IMS-2022) organized by Department of Mathematics, BIT Mesra, Ranchi from Dec 27-30, 2022

Currently serving as Professor, Department of Mathematics, BIT Mesra, Ranchi from 01.03.2015.

Joined as Head, Department of Mathematics from 01. 01. 2024 F/N.

Also served as Head, Department of Mathematics from 29.11.2017 A/N to 09.12.2019 A/N. 

Previously served as

(1) Associate Professor, Department of Applied Mathematics from 01.04.2011 to 28.02.2015

(2) Reader, Department of Applied Mathematics BIT Mesra, Ranchi (April 01, 2008-March
     31, 2011)   

 (3) Sr. Lecturer, Department of Applied Mathematics BIT Mesra, Ranchi (Nov 30, 2006-
       March 31, 2008)

(4) lecturer in Statistics (T.M. Bhagalpur University) from 17.12.1996 to 29.11.2006: taught at both UG
      and PG

Algorithm Analysis, Music Analysis, Statistical Computing

Total number of PhD completed under my guidance: 14 (08 as Guide; 06 as Co-Guide)

Received “Glory of India Award” by India International Friendship Society at Bangkok (Thailand) on 20th June 2012 [presented by the former Deputy Prime Minister of Thailand H.E. Korn Dabbransi]

Received “Shiksha Rattan Puraskar” by India International Friendship Society on 29th May, 2012 [presented by GVK Krishnamurthy, former Chief Election Commissioner, Govt. of India at New Delhi]

Received “Glory of India Gold Medal” by International Institute of Success Awareness  on 29th May, 2012  at New Delhi

Received “Rajiv Gandhi Excellence Award” by India International Friendship Society on 29th August, 2012 at New Delhi

Received National Award for Teaching Excellence (Mathematics) given by Indus Foundation at Indo-American Education Summit and Expo 2013 held in Hyderabad on Feb 2-3, 2013

 Received “Best Academic Researcher Award 2013” given by Association of Scientists, Developers and Faculties on Dec 30, 2013  in Pondicherry

 [A] Article in a Book

1. S. Chakraborty and S. Natarajan, Buffon’s Needle Problem Revisited, chapter 8 of  the book Probability and Statistics (series: Echoes from Resonance) edited by Mohan  Delampady,  S. Ramasubramaniam and T. Krishnan published by Universities Press  Hyderabad in collaboration with  Indian Academy of Sciences, Bangalore, 2001
2.  S. Dutta, S. Chakraborty and N. C. Mahanti, Using Raga as a Cryptographic Tool,     Advances in Network Security and Applications, Communications in Computer and  Information Science, 2011, Volume 196, Part   1,  178-183, DOI: 10.1007/978-3-642-22540-   6_18, D. C. Wyld et. al. (Eds.), CNSA 2011 (Springer)
3.  Singh, N. K., Chakraborty, S.: Partition Sort and its Empirical Analysis, CIIT- 2011, CCIS 250, pp. 340-346,   2011. © Springer-Verlag Heidelberg 2011
4. S. Tewari and S. Chakraborty, A Statistical Analysis of Raga Bhairavi, Acoustic Waves, S. K. Srivastava, Kailash, K. Chaturvedi (Ed.) Shree Publishers and Distributors,              New Delhi, p.329-336, 2011
5. S. B. Singh, S. Chakraborty and K. M. Jha, Assessment of Level of Recovery of Cognitive Impairment in the Cerebrovascular Accident and Head Injuries Cases: Therapeutic Impact  of North Indian Ragas, S. Ystad et. al.  (Eds.), Speech, Sound and Music Processing: Embracing Research in India, CMMR/FRSM 2011, LNCS 7172, pp. 44-52, 2012 Springer Verlag Berlin Heidelberg 2012
6. M. Patra, S. Chakraborty and D. Ghosh, Optimized Neural Architecture for time series prediction using raga notes, S. Ystad et. al. (Eds.), Speech, Sound   and Music Processing:    Embracing Research in India     CMMR/FRSM 2011, LNCS 7172, pp. 26-33, 2012  Springer Verlag Berlin Heidelberg 2012
7. N. K. Singh and S. Chakraborty, Partition Sort versus Quick Sort: A Comparative Average Case Analysis with special emphasis on parameterized complexity published in N.  Meghanathan et. al., (eds.), Advances in Computing and Information Technology, AISC 177, pp. 107-113, Springer-Verlag Berlin Heidelberg 2012
8. N. K. Singh and S. Chakraborty, A Statistical Approach to the Relative Performance Analysis of Sorting Algorithms in Computational Science, Engineering and  Information Technology, ACM International Conference  Proceedings edited by N. Meghanathan  and M. Wozniak, CCSEIT-2012, Coimbatore, India, p. 57-62, 2012
9. Singh, N.K., Mallick, D.K., and Chakraborty, S. (2014)‘Counts vs. Weights: From Traditional to Untraditional Complexity Analysis of Computer Algorithms’, chap.  50 in D. Zheng (Ed.): International Conference on Future  Communication, Information and Computer Science (FCICS 2014), May 22-23, 2014, Beijing China, CRC Press, 2014, Taylor &  Francis Group, ISBN: 978-1-13-802653-7
10.   P. Pranav, S. Dutta and S. Chakraborty, Security Issues for the Sematic Web, in S. Jain, V. Jain and B.    E. Balas (Eds.), Web Semantics: Cutting Edge and Future Directions in Healthcare, Elsevier Inc.,          2021, Chapter 18, p.253-267 https://doi.org/10.1016/B978-0-12-822468-7.00002-X
11. A. H. Dastur and S. Chakraborty, Statistical Analysis of Successive Over Relaxation Method in M. R. Sarangi et al. (Eds.), Futuristic Trends in
    Contemporary Mathematics, IIP Series, Volume 3, Book 2, Part 7,Chapter 2, p. 203-219
12. H. Priya and S. Chakraborty, Randomized Algorithms, in Dariusz Jacek  Jakóbczak (Ed.), Science and Technology, Recent Updates and Future Prospects, Vol 6, 2024, chap 9, p. 133-142, B. P. International
13. P. Verma and S. Chakraborty, Which is a Better Predictive Model in Weather Forecasting: ARIMA or Fourier Transformation?, in Madogni Vianou Irenee (Ed.), Science and Technology, Recent Updates and Future Prospects,Vol 8, 2024, chap 5, p. 97-116, B. P. International

[B] Research Publications in peer-reviewed journals:

1.        S. Chakraborty, P. P. Choudhury, A Statistical Analysis of an Algorithm’s Complexity, Applied Mathematics Letters 13(5), 2000, p.121-126 [Cited by other
           authors]

       2.       S. Chakraborty, P. P. Choudhury, Can Statistics Provide a Realistic Measure for an Algorithm’s Complexity? Applied Mathematics Letters 12(7), 1999, p.113-118

             3.       M. Pal, S. Chakraborty and N. C. Mahanti, Shift-Insertion Sort, International Journal  of Computational Cognition, Vol. 10, No. 1, 2012, 64-66

4.       S. Chakraborty,  S. K. Sourabh, M. Bose and K. Sushant,  Replacement sort revisited: The “gold standard” unearthed! ,  Applied Math.  and Compu. ,vol. 189(2),
           2007, p. 384-394 [Cited by others]

       5.       S. Chakraborty, K. K. Sundararajan,  Winograd’s Algorithm Statistically Revisited: It pays to weigh than to count!, 
                 Applied Math.  and Compu., vol. 190(1), 2007, p. 15-20             

6.       K. K. Sundararajan , S. Chakraborty , A New Sorting Algorithm,  Applied Math.  and Compu., vol. 188( 1), 2007, p. 
          1037-1041 [Cited by others]

            7.       S. Chakraborty,  S. K. Sourabh , On Why an Algorithmic Time Complexity Measure can be System Invariant rather
                       than System Independent, Applied Math. and Compu, Vol. 190(1), 2007, p. 195-204  

            8.       Anchala Kumari , S. Chakraborty , Software Complexity: A Statistical Case Study Through Insertion Sort,  Applied
                      Math.  and Compu., vol. 190(1), 2007, p. 40-50 [Cited by others]

            9.       S. Chakraborty,  S. K. Sourabh, How Robust Are Average Complexity Measures? A Statistical Case Study,  Applied
                      Math.  and Compu., vol. 189(2), 2007, 1787-1797

          10.       S. Chakraborty , K. K. Sundararajan,  A Simple Empirical formula for Categorizing Computing Operations ,  Applied
                       Math.  and Compu., vol. 189(1), 2007, p. 326-340 

          11.       S. Chakraborty, Can a Randomized Binary search have an O(1) Complexity at  least in practice?Applied Math.  and Compu. , vol. 189(2), 2007, 1884-1888         

          12.       P. Kanodia and S. Chakraborty, A Note on Parallel Binomial Expansion and its Multinomial Expansion, International Journal of Mathematical Archive, Vol.
                      2(9),  2011,1672-1678

          13.      S. Chakraborty, S. Tewari, S. Sundareisan, S. Kashyap and M. Pal, A Statistical Analysis of  Melody Lengths in a
                      North Indian Raga, Studii si Cercetari de   Istoria  Artei Teatru, Muzica, Cinemtographie, T. 5-6 (49- 
                       50),BUCURESTI, 2011-12, p.129- 136

           14.    S. Chakraborty, S. Tewari and G. Akhoury, How do ragas of the same thaat that  evoke contrasting emotions like joy and pathos differ in entropy?,
                    Philomusica  online, 10,No.1, 2011, 1-10

           15.    S. Chakraborty, C. Wahi, S. K. Sourabh, L. R. Saraswati, A. Mukherjee, On the Philosophy of  Statistical Bounds: A Case Study on a Determinant
                    Algorithm,  Journal  of Modern Mathematics and Statistics,  Vol.  1(1-4), 2007, 15-23  

           16. K. K. Sundararajan, M. Pal, S. Chakraborty, B. Pal and N. C. Mahanti, An Empirical Study on K- Sort for Binomial Inputs, International Journal of Mathematical
                 Archive, 2(8), 2011, 1274-1278 

           17.  P. Kaur and S. Chakraborty,  A New Approach to Vendor Selection Problem with Impact Factor as an Indirect Measure of Quality, Journal of Modern
                   Mathematics and Statistics,Vol.  1(1-4), 2007, 8-14  

           18.   S. Chakraborty, T. Rastogi, How many passes does the bubble sort make if the input is a pps  sample with replacement? A study in simulation, International Journal
                   of Mathematical Modeling, Simulation and  Applications, Vol. 1, No. 1, 2008, 75-83

     19.   S. Chakraborty, R. Hatwal, T. Rastogi, On Statistical Bounds and Their Empirical Estimates: A More Meaningful Approach to Average Case Complexity,           
              International Journal of Mathematical Modeling, Simulation     
            and Applications, vol. 1, no. 2, 2008, 123-136

     20.  A. K. Maurya and S. Chakraborty, On a user friendly code for visualizing higher dimensional data  using parallel coordinates, Research Journal of  Applied
            Sciences, 2(10), 2007, 1057-1059

            21.   S. Chakraborty, On a randomized comparison of randomized string matching and naïve string matching, Journal of Modern Mathematics and Statistics, vol. 2(2),
                     2008, 70-72

    22.. S. Pandey, M. Kumar, S. Chakraborty and N. C. Mahanti, Analyzing the Variability of Rainfall for Drought Prognosis in Jharkhand State: A Statistical
            Approach, Irrigation and Drainage Vol. 60, Issue 4, 556-566(2011),
           DOI: 10.1002/ird.627, Wiley

           23.  P. Kaur, S. Chakraborty and N. C. Mahanti, Reinforcing Impact Factor of a Vendor as  an  Indirect Measure of Quality in Vendor Selection Problem: A Study
                  Through Simulation,  Australian Journal of Basic and  Applied Sciences, 3(3), 2009, 2888-  2900

    24.     S. Padhi, M. Trivedi  and S. Chakraborty, A Statistical Approach to the Study  of  Qualitative  Behavior of Solutions of Second Order Neutral Differential Equations,
               Australian Journal of Basic and Applied Sciences, Vol. 1(4), 2007, 824-833

           25.   S. Chakraborty, M. Bose and T. Rastogi, Ties Revisited: Dipping Further Into the “Gold Standard”! , International Journal of Mathematical Modeling, Simulation and
                    Applications, Vol.1(3), 2008, 261-271

           26.   Anchala Kumari and S. Chakraborty, A Simulation Study on Quick Sort Parameterized Complexity Using Response Surface Design,  International Journal of
                   Mathematical Modeling, Simulation and Applications, Vol. 1, No. 4, 2008, 448-458

     27. S. Chakraborty, Must All Statistical Bounds be Probability Bounds? , International  Journal of Mathematical Modeling, Simulation and Applications, Vol. 2, No. 2,
           2009, 190-197

     28.  S. Chakraborty, R. Ranganayakulu, S. Chauhan, S. S. Solanki and K. Mahto,  An interesting comparison between a morning raga with an evening one using  
               graphical statistics, Philomusica online, Vol. 7. No. 1, 2008, 1-6                                    

      29. S. Chakraborty, R. Ranganayakulu, S. Chauhan, S. S. Solanki and K. Mahto, A Statistical Analysis of Raga Ahir Bhairav, Journal of Music and Meaning, Vol. 8, sec.
             4, Winter 2009 http://www.musicandmeaning.net/issues/showArticle.php?artID=8.4

      30. S. Chakraborty, K. Krishnapriya, Loveleen, S. Chauhan and  S. S. Solanki, Analyzing the Melodic Structure of a North Indian Raga: a Statistical Approach,
            Revista eletronica de musicologia (Electronic Musicological Review), vol. XII, 2009

      31. S. Chakraborty, R. Ranganayakulu, S. S. Solanki, A. Patranabis, D. Ghosh, R. Sengupta, A. K.  Dutta and N. Dey, Shadowing Along the Maestro’s Rhythm, 
             Revista eletronica de musicologia (Electronic Musicological Review), vol. XII, 2009

       32. S. Chakraborty, S. Tewari, G. Akhoury, S. K. Jain and J. Kanaujia, Raga Analysis using Entropy, Journal of Acoustical Society of India, Vol. 38, No.4, 2011, p.168-
             172

       33.  S. Chakraborty, R. Ranganayakulu, S. Chauhan and S. S. Solanki, A Probabilistic Method of Ranking Musical Notes, International Journal of Mathematical
              Modeling, Simulation and Applications, Vol. 3. No. 1, 2010, pp. 34-41

        34. P. Kumar, A. Kumari and S. Chakraborty, Parameterized Complexity on a New Sorting Algorithm: A Study in Simulation, Annals. Computer Science Series, Vol.
              VII, Fasc.2, 2009, 9-22

        35. S. Pandey, M. Kumar, S. Chakraborty and N. C. Mahanti, A Statistical Approach to Examine the  Impact of Various Meteorological Parameters on Pan
              Evaporation, The Korean Journal of Applied Statistics, Vol. 22(3), 2009, 515-530

        36. R. K. Shukla and S. Chakraborty, On an Ethical Use of Neural Networks: A Case  Study on a  North Indian Raga, Annals. Computer Science Series, Vol. VII, Fasc.2,
              2009, 41-56

         37. D. Sahani and S. Chakraborty, How many interchanges does the selection sort make  for iid geometric(p) input?, Annals. Computer Science Series, Vol. VII,
               Fasc.2, 2009, 9-22

         38. S. Chakraborty, D. N. Modi and S. Panigrahi, Will the Weight-based Statistical Bounds Revolutionize the IT?, International Journal of Computational Cognition,
                Vol. 7(3), 2009, 16-22

         39. S. K. Sourabh and S. Chakraborty, Empirical Study on the Robustness of Average Complexity & Parameterized Complexity Measure for Heapsort Algorithm,
             International Journal of Computational Cognition, Vol. 7, No. 4, 2009, 1-11  

          40. S. K. Sourabh, S. Chakraborty, B. K. Das, Are Subsequences of Decimal Digits of Pi Random?, Annals. Computer Science Series, Vol. VII, Fasc. 2, 2009,  87-96

          41. S. Chakraborty, On Why and What of Randomness, DataCritica: International Journal of Critical Statistics, Vol. 3. No. 2, 2010, 1-13

          42. S. Chakraborty, K. Krishnapryia, Loveleen, S. Chauhan, S. S. Solanki and K. Mahto, Melody  Revisited: Tips from Indian Music Theory, International Journal of
                Computational Cognition, Vol. 8, No. 3, 2010, 26-32 [cited by others]

          43. S. Chakraborty and R. Shukla, Raga Malkauns Revisited with Special Emphasis on Modeling, Ninad, Journal of ITC Sangeet Research Academy, Vol. 23, Dec 2009

           44. S. Dutta, S. Chakraborty and N. C. Mahanti, A Novel Method of Hiding Message Using Musical Notes, International Jour. of Computer Applications, Vol.1(16),
                 2010, 87-91 http://www.ijcaonline.org/archives/number16/338-510

           45. S. Chakraborty, R. K. Shukla, K. Krishnapryia, Loveleen, S. Chauhan, M. Kumari and S.S. Solanki, A Statistical Analysis of a Raga-based Song, Georgian Scientific
                 Electronic Journal:Musicology and Cultural Science, 2009, No. 2 (4), 21-33

           46. M. Pal, S. Chakraborty and N. C. Mahanti, Shift-insertion sort revisited: another statistical case study on parameterized complexity using factorial experiments,
                 International Journal of Computational Cognition, Vol. 9(2), June 2011, 13-16

            47. A. Kumari and S. Chakraborty, Gauss-Siedel algorithm revisited: A statistical case study for Weibull inputs, International Journal of Computational Cognition, Vol. 9
                (1), March 2011, 96-99

           48. S. Chakraborty, S. Sundareisan, S. Kashyap and M. Pal, A Simple Fractal Analysis of a North Indian Raga, International Journal of Computational
                 Cognition, Vol. 9(2), June 2011, 31-33

           49. S. Chakraborty, M. Kalita and N. Kumari, Semi-Natural Composition, An Experiment with North Indian ragas, International Journal of Computational
                 Cognition, Vol. 9(2), June 2011, 51-55

           50. S. K. Sourabh and S. Chakraborty, Empirical Study on the Average Time Complexity of ShellSort Algorithm: Historical perspective, Robusness and
                 Parameterized Complexity, International Journal of Mathematical Modeling,  Simulation and Applications, Vol. 3(2), 2010

          51. S. Chakraborty, M. Kumari, S. S. Solanki, S. Chatterjee, On What Probability can and cannot do: A case study in Raga Malkauns, Journal of Acoustical Society of  
                India, Vol. 36, No. 4, 2009, p. 176-180

          52.  S. Chakraborty, S. S. Solanki, S. Roy, S. Chauhan, S. S. Tripathy and K. MahtoA Statistical Approach to Modeling Indian Classical Music Performance, 
                 International Journal of Computational Cognition, Vol. 9, No. 4, Dec 2011, 31-40

          53.  D. N. Modi and S. Chakraborty, A Statistical Analysis of Gauss-Seidel Algorithm, Annals Computer Science Series, Vol. VIII, Fasc. 2, 2010, 169-181

          54.   M. Pal, S. Chakraborty and N. C. Mahanti, How does the Shift-insertion Sort  behave when the sorting elements follow a Normal distribution?, Annals   Computer
                  Science Series, Vol. VIII, Fasc. 2, 2010, 93-98

          55.  S. Chakraborty, On identifying a common goal between musicians and scientists, Georgian Electronic Scientific Journal: Musicology and Cultural Science,  2010,
                  No.1(5), 3-11

           56.  S. Chakraborty, S. Tewari and G. Akhoury, What do the fractals tell about araga?  A case study in raga Bhupali, Consciousness, Literature and the Arts,
                  Vol. 11, No. 3, Dec 2010, 1-9

          57.  M. Patra, S. Chakraborty and D. Ghosh, Predicting raga notes through an ARIMA model: A case study in raga Bhupali, Annals Computer Science Series, Vol. IX,
                 Fasc.1, 2011, 39-50

          58.  S. Chakraborty and K. K. Sundararajan, A fast sampling algorithm that takes order into account, International Journal of Mathematical Modeling, Simulation
                 and Applications, Vol.3(3), 2010

          59.  S. Dutta, S. Chakraborty and N. C. Mahanti, Fingerprint Based Cryptography Technique for Improved Network Security, Journal of Computer Science and
                 Engineering, Vol. 5 (2), 2011, 11-18  

60. S. Chakraborty, S. Tewari, G. Akhoury, A note on the problem of finding similarity between melodies of unequal length, Ninad, Journal of ITC Sangeet Research
      Academy, Vol. 24, Dec 2010,  52-57 

61. S. Chakraborty and J. Dutta, An Empirical Study on Parameterized Complexity in Singleton Sort Algorithm, International Jour. on Computational Sciences &
      Applications, Vol. 2, No.2, 2012, 1-14 

62. A. Kumari, R. Tripathi, M. Pal and S. Chakraborty, Linear Search versus Binary Search: A Statistical Comparison for Binomial Inputs, International Journal of
      Computer Science, Engineering and Applications, Vol. 2, No. 2, 2012, 29-39 

63. S. Chakraborty and R. Sarkar, Binary Tree Sort is more robust than Quick Sort in average case, International Jour. of Computer Science, Engg and Applications,    
      Vol. 2, No. 2, 2012, 115-123

          64. K. K. Sundararajan, M. Pal, S. Chakraborty, B. Pal and N. C. Mahanti, K Sort  Revisited for Negative Binomial Inputs, Algorithms Research, Vol. 1, No. 1, 2012,
                1-4

          65. M. Pal, S. Chakraborty and N. C. Mahanti, Shift-Insertion Sort, International Journal of Computational Cognition, Vol. 10, No. 1, March 2012, 64-66

     66. S. Tewari and S. Chakraborty, Linking Raga with Probability, Ninad-Journal of ITC Sangeet Research Academy, Vol. 25, Dec 2011, p. 25-30

          67. N. K. Singh, M. Pal and S. Chakraborty, Partition Sort Revisited, Reconfirming the Robustness in Average Case and much more!, International Journal of Computer
                Science, Engineering and Applications, Vol. 2, No. 1, 2012, p. 23-30

     68. S. Chakraborty, S. Sarkar, S. Tewari and M. Pal, Modeling India’s National Anthem: A Statistical Approach, International Research Journal of Social
           Sciences,  Vol. 1(2), 2012, 1-7

     69. S. Chakraborty, R. K. Shukla, K. Mahto, S. S. Solanki, S. Chauhan, Loveleen and K.Krishnapriya, On Analyzing the Structure of a North Indian Raga through an 
            ARIMA model, International Journal of Advanced Science, Engineering and Technology, Vol.1(1), 2012, 29-38 

     70. N. K. Singh and S. Chakraborty, Smart Sort: A Fast, Efficient and Robust Sorting Algorithm, International Journal of Advanced Computer and Mathematical 
           Sciences, Vol.3(4), 2012, 487-493

     71.  J. Dutta, S. Chakraborty and M. Pal, Analyzing Singleton Sort through Computer Experiments for Normal Inputs, Algorithms Research, Vol. 1(3), 2012, 12-14

     72.  M. S. Neogi, S. Chakraborty and V. Bhattacharya, Modeling the response to Questionnaire in Software Development, Multinomial or Quasi-multinomial?,
            International Jour. on Computational Sciences & Applications, Vol. 2(4), 2012, 47-61

     73.  A. Kumari and S. Chakraborty, The Middle Pivot Element Algorithm, ISRN Computational Mathematics(Hindawi Pub, USA), Vol. 2012 (2012), article no 
            947634, doi: 10.5402/2012/947634    

     74.  K. K. Sundararajan, M. Pal, S. Chakraborty and N. C. Mahanti, K-Sort: A New Sorting  Algorithm that beats Heap Sort for n <= 70 lakhs!, International Journal on
            Recent Trends in Engineering and Technology (ACEEE), Vol. 8, No. 1, Jan 2013, 64-67

     75. M. Pal, S. Chakraborty and N. C. Mahanti, Amir Schoor’s Algorithm Revisited for Bernoulli and Geometric Distribution Inputs, Georgian Electronic Scientific Journal:
           Computer Science and Telecommunications, 2012, No. 4(36), 35-40

     76. S. B. Singh, S. Chakraborty, K. M. Jha, A. Bhattachayra, S. Prakash, Impact of Hindustani ragas on CVA and DHI patients: An Application of Linear Mixed
           Model,International Journal of Advanced Science, Engineering and Technology, Vol. 2(1), 2013, 97-103

    77. S. B. Singh, S. Chakraborty, K. M. Jha, S. Haider, S. Chandra, Repeated Measure Analysis in Raga Therapy: A Case Study on Head Injury Patients, Research
          Journal of Pharmaceutical, Biological and Chemical Sciences, Vol.4 (1), 2013, 420-428

     78. S. Tewari and S. Chakraborty, A Statistical Analysis of Bhairav-The First Morning Raga, International Journal of Computers and Technology, Vol. 4, No. 2, 2013,
           371-386

     79. S. Chakraborty, R. Ranganayakulu, S. Chauhan, S. S. Solanki and K. Mahto, Given a raga recording, can we scientifically verify which school of Vadi-Samvadi
           selection is supported by the artist? International Journal of Computers and Technology, Vol. 4, No.2, 2013, 288-300

    80. M. Patra and S. Chakraborty, Analyzing the digital note progression of ragas within a thaat using fractal geometry, International Journal of Advanced Computer and
          Mathematical Sciences, Vol. 4, issue 2, 2013, 148-153

    81. S. B. Singh, S. Chakraborty, K. M. Jha, S. Chandra and S. Prakash, Impact of Hindustani ragas on Visual Acuity, Spatial Orientation and Cognitive Functions in
          Patients with Cerebrovascular Accident and Diffuse Head Injury, Music and Medicine, Vol. 5(2),2013, 67-75

         82. S. Chakraborty, S. Sarkar, S. Tewari and M. Pal, An Interesting Application of Simple Exponential Smoothing in Music Analysis, International Journal of Soft
                Computing, Artificial Intelligence and Application, Vol. 2(4), 2013, 37-44

         83. S. Tewari and S. Chakraborty, Using K-Means Clustering Algorithm to Optimize the Performance of an Artist and Prevent Music Privacy, International Journal of
                Innovative Research in Science, Engineering and Technology, Vol.2(11), 2013, 6194-6199

        84. A. Kumari and S. Chakraborty, Parameterized Complexity-A Statistical Approach Combining Factorial Experiments with Principal Component Analysis,
                International Journal of Computer Science Engineering, Vol.2(5), 2013, 166-176

        85. M. S. Neogi, S. Chakraborty and V. Bhattacherjee, Factors Influencing Software Development Process: A Statistical Outlook, International Journal of Software
             Engineering and its Applications, Vol. 7(6), 2013, 221-236

        86. S. Dutta, C. Kumar, S. Chakraborty, A Symmetric Key Algorithm for Cryptography using Music, International Journal of Engineering and Technology, Vol.5(3), 2013,
             3109-3115

   87. N. K. Singh, S. Chakraborty, D. K. Mallick, A Statistical peek into Average Case Complexity, International Journal of Experimental Design and Process Optimisation,
         Vol. 4. No.  2, 2014, 116-142

   88. N. K. Singh, S. Chakraborty, D. K. Mallick, A New Look at Worst Case Complexity: A Statistical Approach, International Journal of Analysis, Vol. 2014, Article ID
         840432, p.1-10

    89.  S. Tewari and S. Chakraborty, A Statistical Analysis of the Song Hum Honge Kamyab (We Shall Overcome), International Journal of Applied Engineering Research,
           Vol. 9, No. 24, 2014, 29977-29984

          90.  K. Mahto, S.S. Solanki and S. Chakraborty, Automatic Extractions of Notes and their Onsets from Indian Classical Music Signal, International Journal of Applied
                 Engineering  Research, Vol. 9, No. 21, 2014, 9327-9341

           91. N. K. Singh, S. K. Mishra, A. Kumar, S. Chakraborty, D. K. Mallick,  How many interchanges does the Replacement sort make for discrete uniform input?
                  InternationJournal of Applied Engineering Research, Vol. 9, No. 24, 2014, 23515-23525

            92. C. Kumar, S. Dutta, and S. Chakraborty. Hiding Messages using Musical Notes: A Fuzzy  Logic Approach, International Journal of Security and Its Applications, Vol.
                  9.1,  2015, 237- 248.

            93. A. Kumari, N. K. Singh and S. Chakraborty, A Statistical Comparative Study of Some Sorting Algorithms, International journal in Foundations of Computer Science
                  and Technology, Vol.5, No. 4, July 2015, 21-29

            94. P. Priyadarshini and S. Chakraborty, Signal processing for Music Analysis, American International Journal of Research in Science, Technology, Engineering
                   and Mathematics,  Vol. 2, issue 9, 2015, 150-163

             95. C. Kumar, S. Dutta, S.Chakraborty, A Hybrid Polybius-Playfair Music Cipher, International Journal of Multimedia and Ubiquitous Engineering, Vol.10, No. 8,
                   2015, 187-198

              96.  P. Priyadarshini and S. Chakraborty, A Statistical Study of Artist Style from Raga performance, International Journal of Applied Engineering Research, Vol.10, No.
                     14, 2015, p.34813-3481

              97.  P. Priyadarshini and S. Chakraborty, Using Statistical Modeling, Rate of Change of Pitch and Inter Onset Interval to Distinguish Between Restful and Restless
                    Ragas, Communications in Mathematics and Statistics, 2017, Volume 5, No. 2,199-212 (Springer)

              98.  S. B. Singh, S. Chakraborty, K. M. Jha, S. Chandra and S. Prakash, Therapeutic Impact of Hindustani Ragas on the mood of patients with cerebrovascular
                      accident and diffuse head injury, The Journal of Acoustical Society of India,
                       Vol. 44, No. 4, 2017, page-223-231

              99. T. Narayan, T. Bhattacharya, S. Chakraborty, S. Konar, Long-Term Statistical Characteristics of Air Pollutants in a Traffic-Congested   Area of Ranchi,
                     India,Communications in Mathematics and Statistics, Vol.6, No.2 (2018).https://doi.org/10.1007/s40304-018-0129-x,
                     published online on April 30, 2018 https://link.springer.com/article/10.1007/s40304-018-0129-x (Springer)

            100.  S. B. Singh, S. Chandra and S. Chakraborty, A Brief Survey on Music Intervention in Western and non-Western (Indian) Music, MOJ Biology and Medicine, Vol. 3,
                      issue 4, 2018, p. 190-194

          101.  P. Pranav, S. Chakraborty & S. Dutta, A new cipher system using semi-natural composition in Indian raga, Soft Computing (2019),
                    https://doi.org/10.1007/s00500-019-03983-8

          102. N. K. Singh, S. Chakraborty, D. K. Mallick, Complexity verification through design and analysis of
                  computer experiments, International Journal of Computational Complexity and Intelligent Algorithms,
                   Vol. 1, No. 2., 2019, p. 178-195

          103. T. Bhattacharya, T. Narayan, S. Chakraborty, S. Konar and S. Singh, Statistics as a Technology to Predict
                   the Seasonal Variation of Air Pollution, International Journal of Innovative Technology and Exploring
                   Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-3, January 2020

         104. Nayancy , S. Dutta & S. Chakraborty (2020): A survey on implementation of lightweight block ciphers
                  for resource constraints devices, Journal of Discrete Mathematical Sciences and Cryptography,

                   DOI: 10.1080/09720502.2020.1766764 https://doi.org/10.1080/09720502.2020.1766764

        105. N. Saha & S. Chakraborty (2021) Using Chebyshev’s inequality to predict a random determinant for i.i.d. Gamma and
                  Weibull elements, Journal of Statistics and Management Systems, 24:3, 613-623,

                   DOI: 10.1080/09720510.2020.176676

       106/  T. Narayan, T. Bhattacharya, S. Chakraborty, S. Konar, Application of Multiple Linear Regression And
                 Geographically Weighted Regression Model for Prediction of PM2.5, Proceedings of the National
                  Academy of  Sciences,  India Section A: Physical Sciences (accepted  Oct 6, 2020)

                   DOI: 10.1007/s40010-020-00718-5

       107. S. Tewari, S. Chakraborty. (2020) An Improved Method of Raga Content Assessment in Songs with
               Therapeutic Benefits. Journal of Applied  Mathematics and Computation, 4(4), 113-117,
                DOI:10.26855/jamc.2020.12.001

       108. J. Pradhan & S. Chakraborty (2021): “The Road not taken” statistically taken: A probabilistic analysis of
                Frost’s poem, Journal of Statistics and Management Systems, DOI: 10.1080/09720510.2020.1848041

       109. A. Lipi and S. Chakraborty (2021), Probabilistic Analysis of Three Ragas of the Bhairavi Thaat, The
                    Journal of Acoustical Society of India: Vol. 48, No. 1-2, pp. 46-55

        110. Princila & S. Chakraborty (2021): Predicting maximum and minimum eigenvalues of a random matrix : A study in
                   simulation for Poisson distribution, Journal of Statistics and Management
                    Systems, DOI:10.1080/09720510.2020.1862960

        111. S. Haldar, S, Chakraborty. (2021)  On the Probability of Real Roots in a Quadratic Equation with Coefficients as i.i.d
                  U(-theta, theta) Variates. Journal of Applied Mathematics and Computation, 5(1), 48-55.
                  DOI:0.26855/jamc.2021.03.006

        112. P. Pranav, S. Dutta & S. Chakraborty, Empirical and statistical comparison of intermediate steps of AES-128 and RSA in
                terms of time consumption. Soft Computing (2021). Vol 25, issue 21, p.13127-13145

              https://doi.org/10.1007/s00500-021-06085-6     

        113.  T. Narayan, T. Bhattacharya, S. Chakraborty, S. Konar, A Survey on Statistical Methods Used in Air Quality Prediction,
                 Indian Journal of Environmental Protection, Vol. 42 (5), May 2022, p.549-558

         114. S. K. Dash, S. S. Solanki and S. Chakraborty, A Comprehensive Review on Audio based Musical Instrument
                 Recognition: Human-Machine Interaction towards Industry 4.0, Journal of Scientific & Industrial Research Vol. 82,
                 January 2023, pp. 26-37 DOI: 10.56042/jsir.v82i1.70251

         115. S. Haldar, S. Chakraborty & M. Chaudhary, On the Probability of Real Roots of a Quadratic Equation
                when the Coefficients are iid Uniform (α, β) Variates. Journal of the Indian Society for Probability and
                 Statistics (2023), https://doi.org/10.1007/s41096-023-00149-6

          116. N. K. Singh, K. Naaz and S. Chakraborty, Komala and Ka?hora: A Novel Approach Towards
                  Classification of Hindi Poetry, ACM Transactions on Asian and Low-Resource Language Information
                  Processing, Accepted on March 2023 https://doi.org/10.1145/3589249

          117. S. Chakraborty and N. Katyayan, Statistical musicology with therapeutic applications, MOJ Biology and Medicine, 8(2),
                  2023, p.50-53

          118. A. Kumari, S. Dutta and S. Chakraborty, Use of Node credibility and Andrews plot to detect and prevent BHA in
                  MANET, International Journal of Experimental Research and Review, Vol. 30, 2023, p. 282-295,
                  DOI:https://doi.org/10.52756/ijerr.2023.v30.026

           119. A. Kumari, S. Dutta and S. Chakraborty, A comparative study of different security issues in MANET, International
                   Journal of Experimental Research and Review, Special Volume 31, 2023, p.168-186,
                   DOI:https://doi.org/10.52756/ijerr.2023.v31spl.016

            120. .   S. Sarkar, S. S. Solanki and S. Chakraborty, Classification of Indian music using intrinsic mode functions based features, Scadinavian Journal of
                      Intelligent Systems, 35(3), 2022, p. 271-277 DOI: 10.5281/SJIS.7759818 

           121. A. Kumari, S. Dutta and S. Chakraborty, A fuzzy based Q-learning approach to prevent sinkhole attacks in MANET (FQ-SPM), Journal of Intelligent &
                   Fuzzy Systems 46 (2024), 1615-1626, DOI:10.3233/JIFS-232003

           122. Nayancy, S. Dutta and S. Chakraborty,  Lightweight Blockchain approach to reduce double-spend and 51% attacks on Proof-of-Work, Intelligent Data
                   Analysis, published online 25^th January, 2024, https://content.iospress.com/articles/intelligent-data-analysis/ida230153

           123. S. K. Dash, S. S. Solanki and S. Chakraborty, Deep Convolutional Neural Networks for Predominant Instrument Recognition in Polyphonic Music
                   Using Discrete Wavelet Transform, Circuits, Systems, and Signal Processing, published online 19^th March, 2024, https://doi.org/10.1007/s00034-024-02641-1

          124.   A. Kumari, P. Singh, P. Pranav, S. Dutta and S. Chakraborty, Prevention of sleep deprivation attack in MANET using cumulative priority based cluster
                    head selection,  Concurrency and Computation: Practice and Experience, http://doi.org/10.1002/cpe.8118 (2024)

           125.   A. Kumar, P. Pranav, S. Dutta and S. Chakraborty, Analysis of the empirical complexity of Advanced Encryption Standards - 128
                    statistically, Journal of Discrete Mathematical Sciences & Cryptography, Vol. 27 (2024), No.6, pp. 1887–1903,

                    DOI : 10.47974/JDMSC-1854

[C] Papers published in conference proceedings

1. .P. Priyadarshini and S. Chakraborty, A Study on Artist Similarity from Raga Performance, 2015, 219-222, 2015 International Conference on Computing, Communication and Automation, Greater Noida, 15-16 May, 2015 included in IEEE Xplore

       2.. C. Kumar, S. Dutta and S. Chakraborty, Musical Cryptography Using Genetic Algorithm, 2014 International Conference on
            Circuit, power and Computing Technologies( ICCPCT), 2014, p. 1742-1747, included in IEEE Xplore

      3.. C. Kumar, S. Dutta and S. Chakraborty, Cryptographic Key Extraction from Music, included in S. K. Sahana and S. K.
           Saha (Eds.), Advances in Computational Intelligence,  Advances in Intelligent Systems and Computing 509, Springer
           Science + Springer Business Media Singapore 2017, p. 309-317 (proceedings of international conference on
            computational intelligence 2015)

      4. P. Priyadarshini and S. Chakraborty, Statistical Analysis of Raga Natures, International Conference on Communication and
          Signal Processing, April 6-8, 2016, India (included in IEEE Xplore)

     5.. S. Sarkar, S. S. Solanki and S. Chakraborty, Time Domain Analysis of Indian Classical Raga
         Rendition, 3^rd International Conference on Computational Intelligence and Communication
         Technology (CICT), Feb 2017, Ghaziabad, India, p.1-5, included in IEEE Xplore, doi:
           10.1109/CIACT.2017.7977385

     6.. P. Shukla and S. Chakraborty (2021) A Simple Statistical Comparison of Bageshree and
         Bhimpalasi. In: Biswas A., Wennekes E., Hong TP., Wieczorkowska A. (eds) Advances in
         Speech and Music Technology. Advances in Intelligent Systems and Computing, vol 1320.
         Springer, Singapore. https://doi.org/10.1007/978-981-33-6881-1_21

     7.  A. Rahman and S. Chakraborty, Statistical Musicology: A Case Study on a Nostalgic Bollywood Song, 2021 Asia-Pacific
          Conference on Applied Mathematics anStatistics, AIP Conference Proceedings 2471, 020004   
           (2022);  https://doi.org/10.1063/5.0082639 ISBN: 978-0-7354-4339-6

     8. A. Kumari and S. Chakraborty, New Sorting Algorithm Revisited with Binomial and Quasi Binomial Inputs, 2021 Asia-Pacific
         Conference on Applied Mathematics and Statistics, AIP Conference Proceedings 2471, 020005   
          (2022); https://doi.org/10.1063/5.0082644 ISBN: 978-0-7354-4339-6

    9.  N. Saha and S. Chakraborty, Probabilistic Analysis of a Determinant of order 2 and 3 for i.i.d. U(1, 2, …., k) elements, 2021
         Asia-Pacific Conference on Applied Mathematics and Statistics, AIP Conference Proceedings 2471, 020006
         (2022); https://doi.org/10.1063/5.0082642  ISBN: 978-0-7354-4339-6

  10.. R. Kumari and S. Chakraborty, A Simple but Effective Method of Outlier Detection Using Chebyshev’s Inequality, 2021 Asia-
          Pacific Conference on Applied Mathematics and Statistics, AIP Conference Proceedings 2471, 020007
          (2022); https://doi.org/10.1063/5.0082641 ISBN: 978-0-7354-4339-6

   11.   L. Dutta and S. Chakraborty, Analyzing a Raga-Based Bollywood Song: A Statistical Approach, in M. Saraswat et al. (eds),
          Congress on Intelligent Systems, Lecture Notes on Data Engineering and Communications Technologies 114, Springer
          Nature Pte Ltd, 2022, 217-230, https://doi.org/10.1007/978-981-16-9416-5_16

12. A. Kumari, P. Pranav, S. Dutta and S. Chakraborty, (2023). Empirical and Statistical Comparison of RSA and El-Gamal in Terms of Time Complexity. In: Hemanth, J., Pelusi, D., Chen, J.IZ. (eds) Intelligent Cyber Physical Systems and Internet of Things. ICoICI 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-18497-0_9

(i)   Indian Statistical Institute (Life Member; no. L/6043)                                                               

(ii)  Acoustical Society of India (Life Member; no. LM-717)

(iii) International Association of Engineers (IAENG); Mem. no. 109241

(iv) ACEEE (Life Member; Membership no. 1148)

(v) Academic Member of the Athens Institute for Education and Research, belonging to the 
     Visual & Performing Arts Research Unit and the Mathematics & Statistics Research Unit

1. Principal Investigator in UGC Major Research Project titled “Analyzing the structure and performance of Hindustani Classical music through Statistics” (two years + six months extension),
   period 01.02.2011-31.07.2013
2. Principal Investigator in an ongoing Project titled “Hindustani Raga Analysis Using Statistical Musicology with Therapeutic Applications for Stress Management” under the Project “Development of Data Science Methods for Cyber Physical System”  sponsored by IDEAS, Technology Innovation Hub@Indian Statistical Institute, Kolkata  

BOOKS AND RESEARCH MONOGRAPHS PUBLISHED:-

           1. S. Chakraborty and S. K. Sourabh, A Computer Exeriment Oriented Approach to Algorithmic Complexity, Lambert
                       Academic Publishing, 2010, ISBN 978-3- 8383-7743-8 [research monograph]

            2. S. Chakraborty, G. Mazzola, S. Tewari and M. Patra, Computational  Musicology in Hindustani Music, Springer
                          International Publishing Switzerland, 2014, ISBN 978-3-319-11471-2 [book]

                          [ "First book dedicated to this topic" --Springer

                             "This book makes a huge contribution in providing an accessible account published by a mainstream and
                               highly reputed publisher of the complex mathematical foundation of a historical and established musical                                       

                               tradition that has not been considered by many Western musicologists.”

                               --Sara Kalvala,  Computing Reviews (ACM/Think Loud), February, 2016

           3. S. B. Singh, S. Chakraborty, K.M. Jha, S. Chandra, S. Prakash and S. Tewari, Music and Medicine:Healing Brain
                         Injury Through Ragas, CBH Publications, 2016, ISBN 978-93-83811-298 [book]

            4. A.K. Datta,  S.S. Solanki, R. Sengupta, S. Chakraborty, K. Mahto and A. Patranabis,Signal Analysis of Hindustani
                         Classical Music, Springer Nature Singapore, 2017, ISBN 978-981-10-3958-4 [book]

             5. A. K. Sinha, S. Chakraborty and Amritanjali, Algorithmic Composition in Hindustani Music, EPH pub., 2017, ISBN
                         978-81-930928-8-0 [research monograph] 

             6.  S. Chakraborty, P. Pranav, N. Rizvi, S. Tewari and M. Patra, A Treatise on Statistical Computing and its Allied
                           Areas, Notion Press, 2018, ISBN 978-1-64249-310-8  [book]

            7.  N. Saha and S. Chakraborty, Probabilistic Analysis of a Random Determinant, GRIN Verlag, 2019,
                        ISBN: 978-3668965096 [research monograph]

            8. A. Singh and S. Chakraborty, The Influence of Hindustani Classical Music on Bollywood Songs: A
                       Statistical Outlook, GRIN Verlag, 2019, ISBN 978-3668984363 [research monograph]

             9. Princila and S. Chakraborty, Predicting Maximum and Minimum Eigenvalues of a Random Matrix:
                       A Study in Simulation, Rathore Academic Research Publications, 2020, ISBN 978-81-946310-3-3
                       [research monograph]

           10. P. Pranav, S. Dutta and S. Chakraborty, Recent Trends in Cryptography and its Allied Areas: Securing
                       Voice Communication Using Music, Rathore Academic Research Publications, 2020, ISBN-978-81-
                        947760-6-2 [research monograph]

            11. S. Chakraborty, S. Tewari, A. Rahman, M. Jamal, A. Lipi, A. Chakraborty, A. Nanda and P. Shukla,
                Hindustani Classical Music: A Historical and Computational Study, Sanctum Books, 2021, ISBN 978-81-
                  947830-0-8 [book]. Winner of IMTA award-2022 for the best book on raga music given by Indian
                Music Therapy Association (IMTA)    

            12. J. Pradhan and S. Chakraborty, Statistical Analysis of Some Selected Poems of Robert Frost, Rathore
                        Academic Research Publications, 2021, ISBN:978-81-949375-8-6 [research monograph]

            13. A. Lipi, K. Kumar and S. Chakraborty, Outliers: Detection and Analysis, Nova Science Pub, N. Y., USA
              2022, ISBN 978-1-68507-554-5 [book] 

            14. S. Tewari and S. Chakraborty, Statistical Musicology: Embracing Hindustani Ragas, Nova Science Pub.,
               N. Y., USA, 2022, ISBN 978-1-68507-683-2  [book]

            15. S. Chakraborty, P. Pal Choudhury, S. S. Hassan, J. K. Das and A. Sengupta (Editors),
              A Treatise on Computational Mathematics, Kolkata Press Books, 2022, ISBN 978-93-94689-08-4

               [book: edited volume]

             16. S. Chakraborty, P. Pranav, N. Khatoon and S. Dutta, A Guide to Design and Analysis of Algorithms, Nova
                     Science Publishers Inc., New York, 2023, ISBN 979-8-88697-386-0  [book]

             17.  S. Tiwari and S. Chakraborty, Statistical Analysis of Folk Songs of Jharkhand, Sanctum
                     Books, 2023, ISBN 978-81-952931-6-2 [research monograph]

              18.  A. Mukherjee and S. Chakraborty, Sentiment Analysis of Music using Statistics and Machine  
                     Learning, Sanctum Books, 2023, ISBN 978-81-952931-7-9  [research monograph]

              19. P. Pranav, S. Dutta, S. Chakraborty and Nayancy, Applied Cryptography for Researchers and Practitioners, Nova Science Publishers Inc., N.Y.,
                    2023, ISBN 979-8-88697-933-6 [book]

              20. S. Chakraborty and S. Haldar, Randomness Revisited using the V Programming Language, Nova Science Publishers, Inc., N.Y., 2023,
                    ISBN 979-8-89113-328-0 [book]

                21.  B. Kabiraj and S. Chakraborty, Time Series Analysis for Weather Forecasting and Prediction, Eliva Press, 2023, ISBN  978-9-99931-276-9 [research monograph]

Patent on the invention “A system for processing of audio signals for automatic pitch detection and method thereof” is published on Nov 01, 2024 (ref: The Patent Office Journal No. 44, 2024 Dated 01/11/2024 page: 102271).

IAENG International Journal of Computer Science (Member, Editorial Board)

Journal of Mathematics, Statistics and Computing (Member, Editorial Board)

Jour. of Applied Statistics (Taylor and Francis),: as reviewer

  Jour.  of Applied Probability and Statistics (Dixie W. Pub.) : as  reviewer

  Jour. of Computational and Applied Mathematics (Elsevier Science),: as  reviewer

  Electronic Journal of Applied Statistical Analysis (Yarmouk University, Jordan) :as reviewer

  Journal of Statistical Computation and Simulation (Taylor and Francis): as reviewer

Ninad-Journal of ITC Sangeet Research Academy (Associate Editor)


American Journal of Theoretical and Applied Statistics (Member, Editorial Board)


ACM Reviewer of Computing Reviews


AMS Reviewer of Mathematical Reviews


IEEE Reviewer of Transactions on Computers