Sobhan Sarkar

Edinburgh, UK sobhan.sarkar@gmail.com

I am currently serving as a Post-doctoral Fellow (Feb, 2020-till date) in the University of Edinburgh, UK. Previously, I was an Associate Professor in the Department of Mechanical Engineering in the University of Engineering & Management (UEM), Kolkata. I have received my PhD degree in December, 2019 from 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 current research interest includes machine learning, data mining, operations research and their applications in real-life scenario.

Supervisor

Jhareswar Maiti

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

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Education

University of Edinburgh

Business School

Post-Doctoral Fellow (PDF)

Business School

February 2020 - Ongoing

IIT Kharagpur

Doctor of Philosophy (PhD)

Industrial and Systems Engineering

July 2014 - August 2019

Jadavpur University

Master of Engineering (ME)

Production Engineering

July 2012 - June 2014

Jadavpur University

Bachelor of Engineering (BE)

Production Engineering

July 2005 - June 2009

Research

Research Area

Data Analytics; Industrial safety; Machine Learning; Operations Research

Research Interest

Machine Learning, Data Mining, Operations Research and their applications in the real-life scenario.

Publications

2021

Pramanik, A., Sarkar, S., Maiti, J., & Mitra, P. (2021). RT-GSOM: Rough Tolerance Growing Self-Organizing Map. Information Sciences.

2020

Pramanik, A., Djeddi, C., Sarkar, S., & Maiti, J. (2020, October). Region proposal and object detection using HoG-based CNN feature map. In 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (pp. 1-5). IEEE.

Sarkar, S., & Maiti, J. (2020). Machine Learning in Occupational Accident Analysis: A Review using Science Mapping Approach with Citation Network Analysis. Safety Science, 131, 104900.

Pramanik, A., Nande, V., Pradhan, Arka S., Sarkar, S., and Maiti, J. (2020). Dynamic Functional Bandwidth Kernel-based SVM: An Ecient Approach for Functional Data Analysis. In IEMIS 2020 - Accepted.

Pramanik, A., Sarkar, S., Siddharth, V.S., and Maiti, J. (2020) Semi-automated ontology creation and upgradation for rail-road incidents: A case of a steel plant in India. In IEMIS 2020 - Accepted.

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.

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.

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.

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.

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.

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.

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.

2019

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.

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.

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.

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.

2018

Pramanik, A., Gorai, A., Sarkar, S., & Gupta, P. (2018, December). A Novel Feature Extraction-based Human Identification Approach using 2D Ear Biometric. In 2018 IEEE Applied Signal Processing Conference (ASPCON) (pp. 168-172). IEEE.

Sarkar, S., Lodhi, V., & Maiti, J. (2018, Nov). Text-clustering based deep neural network for prediction of occupational accident risk: A case study. In Proceedings of the IEEE conference on ISAI-NLP 2018. IEEE Thailand.

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.

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.

Sarkar, S., Pratihar, D. K., & Sarkar, B. (2018). An integrated fuzzy multiple criteria supplier selection approach and its application in a welding company. Journal of manufacturing systems, 46, 163-178.

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.

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.

2017

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

Sarkar, S., Kumar, A., Mohanpuria, S. K., & Maiti, J. (2017, November). Application of Bayesian network model in explaining occupational accidents in a steel industry. In Research in Computational Intelligence and Communication Networks (ICRCICN), 2017 Third International Conference on(pp. 337-392). IEEE.

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.

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.

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

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.

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.

2016

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.

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.

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.

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.

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.

2015

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.

2014

Sarkar, S., & Sarkar, B. (2014). A New Way to Performance Evaluation of Technical Institutions: VIKOR Approach. Proceeding of 2014 Global Sustainability Transitions: Impacts and Innovations, 209-216.

Sarkar, S., & Sarkar, B. (2014). A De Novo approach for the Performance evaluation of Indian technical institutions. Global Journal of Finance and Management, 6(5), 457-468.