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Qualifications

Ph.D. (Industrial and Systems Engineering, Indian Institute of Technology, Kharagpur) 
M.Tech (Operations Research, National Institute of Technology, Durgapur) 
B.E. (Production Engineering, K. K. Wagh College of Engineering and Research Centre, Nashik)

Akshay Tanaji Bhosale

Profile & History

He holds a PhD in Industrial and Systems Engineering from the Indian Institute of Technology, Kharagpur. Prior to this, he completed his Master’s in Operations Research from the National Institute of Technology, Durgapur. He also holds a Bachelor’s degree in Production Engineering from K. K. Wagh College of Engineering and Research Centre, Nashik (SPPU). 
His research focuses on advanced technologies and decision-making, with a emphasis on intelligent transportation systems. He has a deep interest in cybersecurity risk analysis, game theory, decision-making, and sustainability, with a focus on the transformative impact of emerging transportation technologies such as connected and autonomous vehicles (CAVs) and platooning systems. 
His work has been featured in several peer-reviewed international journals, including Reliability Engineering & System Safety, Applied Soft Computing, IEEE Transactions on Engineering Management, and IEEE Transactions on Intelligent Vehicles. He has also presented at international and national conferences, including the International Conference on Computers and Industrial Engineering, the International Conference for Convergence in Technology (I2CT), and the EurOMA Conference. 
Beyond his research, he is deeply committed to teaching, with strong interests in Operations Management, Data Analytics & Decision-Making, Operations Research, and Business Analytics.

Research Publications

Journals

  • Bhosale, A. T., & Roychowdhury, S. (2024). BWM Integrated VIKOR method using Neutrosophic fuzzy sets for cybersecurity risk assessment of connected and autonomous vehicles. Applied Soft Computing, 159, 111628, (Ranked ‘C’ in ABDC Ranking), Impact Factor: 6.6.
  • Kakde, S. T., Roychowdhury, S., Bhosale, A. T., & Maiti, J. (2024). CPAN Chart: A Novel Customer Perception Analysis System Using Natural Language Processing and
    Attribute Control Charting. IEEE Transactions on Engineering Management, 71, 7609-7622, (Ranked ‘A’ in ABDC Ranking), Impact Factor: 5.2.
  • Bhosale, A. T., & Roychowdhury, S. (2024). A Survey of Cybersecurity Challenges and Mitigation Techniques for Connected and Autonomous Vehicles. IEEE Transactions on Intelligent Vehicles, vol. 10, DOI: 10.1109/TIV.2024.3493938, Impact Factor: 14.3.
  • Tanaji, B. A., Roychowdhury, S., & Abraham, A. (2025). Cybersecurity Resource Allocation for Connected and Autonomous Vehicles Using Bayesian Games. Reliability Engineering & System Safety, 111470, (Ranked ‘A’ in ABDC Ranking), Impact Factor: 11.0.

Conferences

  • Bhosale A. T., Roychowdhury S., Abraham, Anand. (2024). “Optimal Resource Allocation for Multi-target Attacker-Defender Game against Cyber-Attack in Connected and Autonomous Vehicles.” International Conference on Industrial Engineering & Analytics (ICONIEA), ISE Department, IIT Kharagpur, India. [Book chapter, Springer]
  • Bhosale A. T., Roychowdhury S., (2024). “Bayesian-BWM Integrated CoCoSo method with Single Valued Neutrosophic Fuzzy Sets to Prioritize Threat-agent Types in Connected and Autonomous Vehicles.” 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 2024.
  • Bhosale A. T., Roychowdhury S., Abraham Anand. (2025). “Platooning as a service (PlaaS) for connected and autonomous vehicles” EurOMA Conference 2025, Milan, Italy.
  • Sinha, P., Roychowdhury, S., & Tanaji, B. A. (2024, April). Customer feedback analysis using aspect based sentiment analysis and fuzzy analytic hierarchy process. In 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), (pp. 1-6). IEEE.
  • Bhallavi, T., Roychowdhury, S., Bhosale, A., & Tiwari, A. (2021, December). Network intrusion detection using principal component–Mahalanobis Taguchi system (PC-MTS) approach. In 2021 International Conference on Maintenance and Intelligent Asset Management (ICMIAM), (pp. 1-6). IEEE.