Abhishek Verma

W - 101, B C Roy Hall of residence, IIT Kharagpur, Kharagpur - 721 302 abhishekverma.cs@gmail.com

B.Tech in computer science and engineering in the year 2009 from Galgotias College of Engineering and Technology, Greater Noida, M.Tech in computer science and engineering in the year 2012 from Atal Bihari Vajpayee Indian Institute of Information Technology & Management (ABV-IIITM) Gwalior. Currently pursuing PhD. in Data-driven decision support methodologies for industrial safety management.

Supervisor

Jhareswar Maiti

Professor
Department Of Industrial and Systems Engineering
Indian Institute of Technology Kharagpur

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Education

Indian Institute of Technology Kharagpur

Doctor of Philosophy (PhD)

Industrial and Systems Engineering

December 2012 - Ongoing

ABV- Indian Institute of Information Technology and Management, Gwalior

Master of Technology (MTech)

Computer Science and Engineering

July 2010 - July 2012

Uttar Pradesh Technical University

Galgotias College of Engineering and Technology

Bachelor of Technology (BTech.)

Computer Science and Engineering

July 2005 - June 2009

Research

Research Area

Data-driven decision support methodologies for industrial safety management

Research Interest

Data mining, Machine learning, Industrial safety

Publications

2020

Verma, A., Maiti, J., & Boustras, G. (2020). Analysis of categorical incident data and design for safety interventions using axiomatic design framework. Safety Science, 123.

2019

Dhalmahapatra, K., Shingade, R., Mahajan, H., Verma, A., & Maiti, J. (2019). Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering. Computers & Industrial Engineering, 128, 277-289.

2018

Sarkar, S., Verma, A., & Maiti, J. (2018). Prediction of Occupational Incidents Using Proactive and Reactive Data: A Data Mining Approach. In Industrial Safety Management (pp. 65-79). Springer.

Verma, A., Chatterjee, S., Sarkar, S., & Maiti, J. (2018). Data-driven Mapping Between Proactive and Reactive Measures of Occupational Safety Performance. In Industrial Safety Management (pp. 53-63). Springer.

Verma, A., Maiti, J., & Gaikwad, V. N. (2018). A preliminary analysis of incident investigation reports of an integrated steel plant: some reflection. International journal of injury control and safety promotion, 25(2) 180-194.

Verma, A., & Maiti, J. (2018). Text-document clustering-based cause and effect analysis methodology for steel plant incident data. International Journal of Injury Control and Safety Promotion, 25(4), 411-426.

2016

Verma, A., Rajput, D., & Maiti, J. (2016, November). 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.

2014

Verma, A., Khan, S. D., Maiti, J., & Krishna, O. B. (2014). Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports. Safety science, 70, 89-98.

Maiti, J., Singh, A. K., Mandal, S., & Verma, A. (2014). Mining safety rules for derailments in a steel plant using correspondence analysis. Safety Science, 68, 24-33.