Dr Venkataraghavan holds a PhD in Information Systems from the Indian Institute of Technology Madras. He researches around the themes of Business Value of IT, Emerging Information Technologies and Machine Learning. His work has been published in IT journals such as Annals of Tourism Research, Group Decision and Negotiation, Information Systems Frontiers.  His teaching interests are Data Science and Machine Learning, Artificial Intelligence and Neural Networks, and Enterprise Research Planning Systems.

Dr Venkataraghavan has an industry experience of eight years. Before joining academia, he worked as a principal data scientist at a telecom analytics start-up on Big Data Analytics. Earlier, he was an ERP package solution consultant at IBM and NTT India. He trains industry participants on the application of machine learning techniques using open-source technologies.

• Emerging Information Technologies
• Business Value of Information Technology

• Jauhar, S.K., Harinath, S., Krishnaswamy, V., & Paul, S.K. (2024). Explainable artificial intelligence to improve the resilience of perishable product supply chains by leveraging customer characteristics. Annals of Operations Research. https://doi.org/10.1007/s10479-024-06348-z [ABDC ‘A’, ABS ‘3’]
• Pathak, S., Krishnaswamy, V., & Sharma, M. (2024). A Dynamic Capability Perspective on the Impact of Big Data Analytics and Enterprise Architecture on Innovation: An Empirical Study. Journal of Enterprise Information Management. https://doi.org/10.1108/JEIM-01-2024-0059 [ABDC ‘A’, ABS ‘2’]
• Kulshrestha, A., Krishnaswamy, V., & Sharma, M. (2023). A Deep Learning Model For Online Doctor Rating Prediction. Journal of Forecasting. https://doi.org/10.1002/for.2953 [ABDC ‘A’, ABS ‘2’]
• Pallasena, R. K., Sharma, M., & Krishnaswamy, V. (2022). A Study of Interaction, Visual Canvas, and Immersion in AR Design: A DSR Approach. AIS Transactions on Human-Computer Interaction, 14(3), 390-425. https://doi.org/10.17705/1thci.00173, DOI: 10.17705/1thci.00173 [ABCD 'A']
• Krishnaswamy, V., Singh, N., Sharma, M., Verma, N., & Verma, A. (2022). Application of CRISP-DM methodology for managing human-wildlife conflicts: an empirical case study in India. Journal of Environmental Planning and Management, 1-27. DOI: 10.1080/09640568.2022.2070460 [ABDC, ‘B’]
• Singh, N., Krishnaswamy, V., & Zhang, J.Z. (2022). Intellectual structure of cybersecurity research in enterprise information systems. Enterprise Information Systems. https://doi.org/10.1080/17517575.2022.2025545 [ABDC ‘A’, ABS ‘2’]
• Thangavelu, M., Krishnaswamy, V., & Sharma, M. (2021). Impact of Comprehensive Information Security Awareness and Cognitive Characteristics on Security Incident Management – An empirical study. Computers & Security. https://doi.org/10.1016/j.cose.2021.102401 [ABDC ‘A’]
• Pathak, S., Krishnaswamy, V., & Sharma, M. (2021). Big Data Analytics Capabilities: A Novel Integrated Fitness Framework Based on a Tool-Based Content Analysis. Enterprise Information Systems. https://doi.org/10.1080/17517575.2021.1939427 [ABDC ‘A’, ABS ‘2’]
• Kulshrestha, A., Krishnaswamy, V., & Sharma, M. (2020). Bayesian BILSTM approach for tourism demand forecasting. Annals of Tourism Research, 83, 102925. https://doi.org/10.1016/j.annals.2020.102925 [ABDC ‘A*’, ABS ‘4’]
• Thangavelu, M., Krishnaswamy, V., & Sharma, M. (2020). Comprehensive Information Security Awareness (CISA) in Security Incident Management (SIM): A Conceptualization. South Asian Journal of Management, 27(2), 160-188. [ABDC ‘C’]
• Krishnaswamy, V., & Sundarraj, R. P. (2019). Impatience characteristics in cloud-computing-services procurement: Effects of delay horizon and situational involvement. Group Decision and Negotiation, 28(5), 961-990. https://doi.org/10.1007/s10726-019-09629-2 [ABDC ‘A’, ABS ‘2’]
• Pathak, S., Krishnaswamy, V., & Sharma, M. (2019). Impact of IT practices and business value of IT measurement. International Journal of Productivity and Performance Management, 69(4), 774-793. https://doi.org/10.1108/IJPPM-08-2018-0283 [ABDC ‘B’, ABS ‘1’]
• Pallasena, R. K., Sharma, M., & Krishnaswamy, V. (2019). Context-sensitive smart devices-definition and a functional taxonomy. International Journal of Social and Humanistic Computing, 3(2), 108-134. https://doi.org/10.1504/IJSHC.2019.101593 [ABDC ‘C’]
• Krishnaswamy, V., & Sharma, M. (2018). Software-as-a-Service (SaaS) IT Helpdesk at an Institute of Higher Education: Implementation Issues. South Asian Journal of Management, 25(4), 173-189. [ABDC ‘C’]
• Krishnaswamy, V., & Sundarraj, R. P. (2017). Organizational implications of a comprehensive approach for cloud-storage sourcing. Information Systems Frontiers, 19(1), 57-73. https://doi.org/10.1007/s10796-015-9588-8 [ABDC ‘A’, ABS ‘3’]
• Krishnaswamy, V., Pahuja, A., & Sundarraj, R. P. (2016). Integrating time-preferences into E-negotiation systems: A model, elicitation approach and experimental implications. Group Decision and Negotiation, 25(6), 1137-1167. https://doi.org/10.1007/s10726-016-9476-8 [ABDC ‘A’, ABS ‘2’]
• Karunakaran, S., & Krishnaswamy, V. (2015). Business view of cloud: Decisions, models, and opportunities–a classification and review of research. Management Research Review, 38(6), 582-604.  https://doi.org/10.1108/MRR-01-2014-0021 [ABDC ‘C’, ABS ‘1’]

• Principal Investigator: Data Analytics, Xoanon Analytics [2016]
• Co-Principal Investigator: Designing Course for Data Science, Institute of Actuaries of India [2022-23]

1st MATHEW J MANIMALA-SAJM BEST PAPER AWARD  for the paper titled: "Comprehensive Information Security Awareness (CISA) in Security Incident Management (SIM): A Conceptualization" published in the April - June, 2020, Volume 27 Issue 2, of the South Asian Journal of Management.

Associate Dean (Administration) (May 2023 - till date)
Chairperson - Placement & Corporate Relations (July 2020-June 2022)
Co-Chairperson - Placement & Corporate Relations (2019-2020)
Chairperson - IT & Systems Area (2016-2020)
Chairperson - IT Department (2016-18)
Co-Chairperson – Executive Education (2018-19)

• Management Information Systems
• Enterprise Resource Planning
• Data Science and Machine Learning
• Artificial Intelligence and Deep Learning
• Artificial Intelligence and Machine Learning
• Programming in R