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Sobhan Sarkar


Phd


Department of Industrial and Systems Engineering


B - 224, B R Ambedkar Hall of Residence, IIT Kharagpur, Kharagpur - 721 302


9051548791


sobhan.sarkar@gmail.com


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About meI am currently pursuing the Ph.D. degree in the department of Industrial & Systems Engineering (formerly, Industrial Engineering & Management) of Indian Institute of Technology Kharagpur, India. I received both the B.E. and M.E. degrees from the department of Production Engineering of Jadavpur University, Kolkata, India. My research interest includes machine learning, data mining, operations research and their applications in real-life scenario.


Research Area
  • Data Analytics in Industrial safety
  • Machine Learning


Publications
1.

Sarkar, S., Pramanik, A., Maiti, J., & Reniers, G. (2020). Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data. Safety Science, 125, 104616.


2.

Sarkar, S., Gaine, S., Deshmukh, A., Khatedi, N., & Maiti, J. (2020). A Structural Topic Modeling-Based Machine Learning Approach for Pattern Extraction from Accident Data. In Data Engineering and Communication Technology (pp. 555-564). Springer, Singapore.


3.

Sarkar, S., Pramanik, A., Khatedi, N., & Maiti, J. (2020). An Investigation of the Effects of Missing Data Handling Using ‘R’-Packages. In Data Engineering and Communication Technology (pp. 275-284). Springer, Singapore.


4.

Sarkar, S., Khatedi, N., Pramanik, A., & Maiti, J. (2020). An Ensemble Learning-Based Undersampling Technique for Handling Class-Imbalance Problem. In Proceedings of ICETIT 2019 (pp. 586-595). Springer, Cham.


5.

Sarkar, S., Ejaz, N., Promod, C. S., & Maiti, J. (2020). Pattern Extraction Using Proactive and Reactive Data: A Case Study of Contractors’ Safety in a Steel Plant. In Proceedings of ICETIT 2019 (pp. 731-742). Springer, Cham.


6.

Sarkar, S., Pramanik, A., Khatedi, N., Balu, A. S. M., & Maiti, J. (2020). GSEL: A Genetic Stacking-Based Ensemble Learning Approach for Incident Classification. In Proceedings of ICETIT 2019 (pp. 719-730). Springer, Cham.


7.

Sarkar, S., Ejaz, N., Kumar, M., & Maiti, J. (2020). Root Cause Analysis of Incidents Using Text Clustering and Classification Algorithms. In Proceedings of ICETIT 2019 (pp. 707-718). Springer, Cham.


8.

Sarkar, S., Raj, R., Vinay, S., Maiti, J., & Pratihar, D. K. (2019). An optimization-based decision tree approach for predicting slip-trip-fall accidents at work. Safety Science, 118, 57-69.


9.

Sarkar, S., Vinay, S., Raj, R., Maiti, J., & Mitra, P. (2019). Application of optimized machine learning techniques for prediction of occupational accidents. Computers & Operations Research, 106, 210-224.


10.

Pramanik, A., Sarkar, S., & Maiti, J. (2019). Oil Spill Detection Using Image Processing Technique: An Occupational Safety Perspective of a Steel Plant. In Emerging Technologies in Data Mining and Information Security (pp. 247-257). Springer, Singapore.


11.

Sarkar, S., Chain, M., Nayak, S., & Maiti, J. (2019). Decision Support System for Prediction of Occupational Accident: A Case Study from a Steel Plant. In Emerging Technologies in Data Mining and Information Security (pp. 787-796). Springer, Singapore.


12.

Sarkar, S., Ejaz, N., & Maiti, J. (2018, March). Application of hybrid clustering technique for pattern extraction of accident at work: A case study of a steel industry. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE.


13.

Sarkar, S., Maiti, J., Nayak, S., & Chain, S. (2018, May). Data-driven Decision Support System for Prediction of Occupational Accidents. In IISE 2018. Orlando, Florida, USA.


14.

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.


15.

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- 21st Century Perspective of Asia (pp. 53-63). Springer Singapore.


16.

Sarkar, S., Baidya, S., & Maiti, J. (2017, Nov).Application of rough set theory in accident analysis at work: A case study. In In Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2017 (pp. 245-250). RCCIIT, Kolkata, IEEE.


17.

Sarkar, S., Kumar, A., Mohanpuria, S. K., & Maiti, J. (2017, Nov). Application of Bayesian network model in explaining occupational accidents in a steel industry. In In Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2017 (pp. 337-342). RCCIIT, Kolkata, IEEE.


18.

Sarkar, S., Pateshwari, V., & Maiti, J. (2017, July). Predictive model for incident occurrences in steel plant in India. In 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.


19.

Sarkar S., Lohani A., Maiti J. (2017). Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents. In Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. pp 517-530. Springer, Singapore.


20.

Gautam, S., Maiti, J., Syamsundar, A., & Sarkar, S. (2017). Segmented point process models for work system safety analysis. Safety Science, 95, 15-27.


21.

Singh, K., Raj, N., Sahu, S. K., Behera, R. K., Sarkar, S., & Maiti, J. (2017). Modelling safety of gantry crane operations using Petri nets. International journal of injury control and safety promotion, 24(1), 32-43.


22.

Sarkar, S., Lakha, V., Ansari, I., & Maiti, J. (2017). Supplier Selection in Uncertain Environment: A Fuzzy MCDM Approach. In Proceedings of the First International Conference on Intelligent Computing and Communication (pp. 257-266). Springer Singapore.


23.

Sarkar, S., Vinay, S., Pateshwari, V., & Maiti, J. (2016, December). Study of optimized SVM for incident prediction of a steel plant in India. In India Conference (INDICON), IEEE Annual (pp. 1-6). IEEE.


24.

Sarkar, S., Patel, A., Madaan, S., & Maiti, J. (2016, December). Prediction of occupational accidents using decision tree approach. In India Conference (INDICON), 2016 IEEE Annual (pp. 1-6). IEEE.


25.

Maiti, J., Sarkar, S., Pardhu, S., Ayi, R. (2016, November). Proactive Data: A Rich Source of Occupational Accident Prediction (Abstract only). In INFORMS 2016 annual meeting at Nashville, USA.


26.

Sarkar, S., Lakha, V., Ansari, I. Maiti, J. (2016, November). Text Mining Based Prediction Model for Incident Occurrences in Steel Plant (Abstract only). In INFORMS 2016 annual meeting at Nashville, USA.


27.

Sarkar, S., Vinay, S., & Maiti, J. (2016, March). Text mining based safety risk assessment and prediction of occupational accidents in a steel plant. In Computational Techniques in Information and Communication Technologies (ICCTICT), 2016 International Conference on (pp. 439-444). IEEE.


28.

Krishna, O. B., Maiti, J., Ray, P. K., Samanta, B., Mandal, S., & Sarkar, S. (2015). Measurement and modeling of job stress of electric overhead traveling crane operators. Safety and health at work, 6(4), 279-288.