My academic interest lies in the area of operations research, more particularly in simulation and stochastic optimization methods involving Markov models. At present I am focusing on using reinforcement learning methods such as POMDP, BAMDP, Monte-Carlo Bayesian Reinforcement Learning in problems related to cybersecurity. I am also interested in multivariate statistical models e.g. Generalized Linear Models and its applications.
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BWM Integrated VIKOR Method Using Neutrosophic Fuzzy Sets for Cybersecurity Risk Assessment of Connected and Autonomous Vehicles (communicated, under review) Bhosale A. T., Roychowdhury S. By Applied Soft Computing - (2023)
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A genetic algorithm with an earliest due date encoding for scheduling automotive stamping operations Roychowdhury S., Allen T. T., Allen N. B. By Computers & Industrial Engineering 105 201-209 (2017)
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A Survey of Cybersecurity Issues and Mitigation Techniques for Intelligent Vehicles (Communicated, under review) Bhosale A. T., Roychowdhury S. By IEEE Transactions on Transactions on Intelligent Transportation Systems - (2022)
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Network Intrusion Detection using Principal Component-Mahalanobis Taguchi System (PC-MTS) Approach Bhallavi T., Roychowdhury S., Bhosale A., Tiwari A. By 2021 International Conference on Maintenance and Intelligent Asset Management, ICMIAM 2021 - (2021)
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Risk Assessment in the Calibration of Medical Equipment Das S., Roychowdhury S., Maiti J. By 2021 International Conference on Maintenance and Intelligent Asset Management, ICMIAM 2021 - (2021)
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Practical optimal scheduling for surgery Allen T. T., Hernandez O. K., Roychowdhury S. , Patterson E. S. By International Symposium on Human Factors and Ergonomics in Health Care 2020 - (2020)
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Cyber Vulnerability Maintenance Policies That Address the Incomplete Nature of Inspection Liu E., Allen T. T., Roychowdhury S. By Applied Stochastic Models in Business and Industry - (2019)
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Reward-based Monte Carlo-Bayesian reinforcement learning for cyber preventive maintenance Allen T. T., Roychowdhury S. , Liu E. By Computers & Industrial Engineering 126 578-594 (2018)
Co-Principal Investigator
- AI and Virtual Reality Modelling and Collaborative Learning of Risk and Situational Awareness in the Socio-Technical System Under Disruptions Science and Engineering Research Board (SERB)
Ph. D. Students
Bhosale Akshay Tanaji
Area of Research: Reinforcement Learning
Saptarshi Das
Area of Research: Quality engineering and management
