Assistant Professor
Information Management and Data Science
Ph.D./ Information Systems & Analytics – Indian Institute of Management, Shillong
Email: deepesh@imt.ac.ae
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.
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 Management, 13(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 Management, 24(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 Systems, 195, 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 Enterprise, 6(1), 3-18. (ABDC-C, Scopus)
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