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Dr. Deepesh Kumar Srivastava

Assistant Professor
Information Management and Data Science

Ph.D./ Information Systems & Analytics – Indian Institute of Management, Shillong



Dr. Deepesh Kumar Srivastava is an Assistant Professor in the area of Information Management & Data Science at IMT Dubai. He received his Ph.D. from Indian Institute of Management (IIM) Shillong after earning Master of Technology from Computer Science & Engineering Department, Indian Institute of Technology (IIT) Dhanbad. His area of interests are data analytics, business intelligence & data mining, text mining, social media mining and machine learning. He has 11 years of experience in industry, teaching, research and training. His research has been published in the Australian Business Deans Council (ABDC), Scopus and Web of science journals.

Research & Publications

1). Karn, A. L., Bagale, G. S., Kondamudi, B. R., Srivastava, D. K., Gupta, R. K., & Sengan, S. (2022). Measuring the Determining Factors of Financial Development of Commercial Banks in Selected SAARC Countries. Journal of Database Management (JDM)33(1), 1-21. (ABDC- A, SCI/Scopus)

2). Srivastava, D.K., Ganguly, M., & Bagale, G. (2022). The impact of the social media on consumer behaviour amid economic crisis: the case of luxury consumption. International Journal of Intellectual Property Management. (Forthcoming). (ABDC-C, Scopus)

3). Srivastava, D. K., & Roychoudhury, B. (2022). Profile matching of online users across multiple social networks: a text mining approach. International Journal of Enterprise Network Management13(1), 19-36. (ABDC-B, Scopus)

4). Srivastava, D. K., & Roychoudhury, B. (2021). Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks. Journal of Global Information Technology Management24(3), 164-182. (ABDC-B, SCI/Scopus)

5). Srivastava, D. K., & Roychoudhury, B. (2020). Words are important: A textual content-based identity resolution scheme across multiple online social networks. Knowledge-Based Systems195, 105624. (ABDC-A, SCI/Scopus)

6). Srivastava, D. K., Roychoudhury, B., & Samalia, H. V. (2019). Fuzzy association rule mining for economic development indicators. International Journal of Intelligent Enterprise6(1), 3-18. (ABDC-C, Scopus)

Teaching / Research Interest
  • Business Intelligence & Data Mining
  • Data Analytics
  • Management Information Systems
Conferences / Seminars
  1. Srivastava, D. K., Roychoudhury, B., & Samalia, H. V. (2018, January). Importance of User’s Profile Attributes in Identity Matching Across Multiple Online Social Networking Sites. In 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 14-15). IEEE (Scopus).
  2. Agarwal, A.K., & Srivastava, D. K. (2014, July). Ancient Kaṭapayādi System Sanskrit Encryption Technique Unified. In 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT 2014) (pp. 279-282). IEEE (Scopus).