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Abhishek Verma

Assistant Professor, Department of Management,
BITS Pilani, Pilani Campus

Blockchain Technology, Business Analytics, Deep Learning, Machine Learning
6069-E, Department of Management, Birla Institute of Technology & Science, Pilani- 333031, Rajasthan. India.

Publications

Journal papers

  1. A Verma, K Dhalmahapatra, and J Maiti (2023). Forecasting occupational safety performance and mining text-based association rules for incident occurrences. Safety Science, 159, 106014. (SCIE, ABDC: A category)
  2. K Dhalmahapatra, A Verma, and J Maiti (2022). An integrated TRIZ coupled safety function deployment and capital budgeting methodology for occupational safety improvement: A case of manufacturing industry. Process Safety and Environmental Protection, 165, 31-45. (SCIE)
  3. A Verma, Y H Kuo, M M Kumar, S Pratap, and V Chen (2022). A data analytic-based logistics modelling framework for E-commerce enterprise. Enterprise Information Systems, 1-23. (ABDC: A category)
  4. A Verma, J Maiti and G Boustras (2020). Analysis of categorical incident data and design for interventions using axiomatic design framework. Safety Science, Vol-123, Elsevier. (SCIE, ABDC: A category)
  5. K Dhalmahapatra, R Shingade, H Mahajan, A Verma, and J. Maiti. (2019). Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering. Computers & Industrial Engineering, Vol- 128, pages: 277-289, Elsevier. (SCIE, ABDC: A category)
  6. A Verma, J Maiti. (2018). Text document clustering based cause and effect analysis methodology for steel plant incident data. International Journal of Injury Control and Safety Promotion, Vol-25 (4), page: 416-426, Taylor & Francis. (SSCI)
  7. A Verma, J Maiti, V N Gaikwad. (2018). A preliminary analysis of incident investigation reports of an integrated steel plant: Some reflection. International Journal of Injury Control and Safety Promotion, Vol-25(2), page: 180-194, Taylor & Francis. (SSCI)
  8. A Verma, S D Khan, J Maiti, and O B Krishna. (2014). Identifying Patterns of Safety Related Incidents in a Steel Plant Using Association Rule Mining of Incident Investigation Reports. Safety Science, Vol-70, page: 89–98, Elsevier. (SCIE, ABDC: A category)
  9. J Maiti, A K Singh, S Mandal, A Verma (2014). Mining safety rules for derailments in a steel plant using correspondence analysis. Safety Science, Vol-68, page: 24-33, Elsevier. (SCIE, ABDC: A category)

Book Chapters 

  1. A Verma, S Chatterjee, S Sarkar, and J Maiti (2018). Data-driven Mapping between Proactive and Reactive Measures of Occupational Safety Performance. Industrial Safety Management (pp. 53-63). Springer.
  2. S Sarkar, A Verma, and J Maiti (2018). Prediction of Occupational Incidents Using Proactive and Reactive Data: A Data Mining Approach. Industrial Safety Management (pp. 65-79.) Springer.

Conference Proceeding Editor

Abhishek Verma, Justin Zhang, Avinash Chandra Pandey. (2025, January). Business Intelligence and Data Analytics: Proceedings of BIDA 2024. (2024). Springer Nature.

International conference papers

  1. A Verma, and J Maiti (2017). Extraction of causal factors of occupational incidents using text mining based association rule mining (Abstract) in International conference of Computers & Industrial Engineering (CIE47)Lisbon.
  2. A Verma, D Rajput, and J Maiti (2016). Prioritization of near-miss incidents using text mining and Bayesian network. In International Conference on Advances in Computing and Data Sciences (pp. 183-191). Springer, India.
  3. H Sharma, A Verma, and J C Bansal (2012). Group social learning in artificial bee colony optimization algorithm. In Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 (pp. 441-451). Springer India.
  4. J C Bansal, P K Singh, M Saraswat, A Verma, S S Jadon, and A Abraham (2011). Inertia weight strategies in particle swarm optimization. In Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on (pp. 633-640). IEEE.

Business Case Studies

  1. A. Verma (2024). From Blocks to Books: LearnifyTech's Blockchain Journey, published in the Case Center. https://casecent.re/p/196061
  2. A. Verma, A. Rithika, B. Sraavan, A. Raj, K. Viswaraj, M. Jain, & C. Agrawal (2025). Healthcare unchained: The blockchain battle at ArogyaManav. In Sage Business Cases. SAGE Publications, Ltd., https://doi.org/10.4135/9781071976951