Prof. Subhash Chandra Panja | Mechanical Engineering | Best Faculty Award
Professor at Jadavpur University, India
Dr. Subhash Chandra Panja is a renowned academic and researcher in the field of Mechanical Engineering, currently serving as a Professor in the Department of Mechanical Engineering at Jadavpur University, Kolkata, India. With an extensive career spanning over two decades, Dr. Panja has made significant contributions to the domains of Reliability and Quality Engineering, Industrial Engineering, Operations Management, Quantitative Techniques, and Machine Learning. He has been actively involved in academic research and consultancy, with a focus on practical applications in industries such as railway signaling, high-speed machining, and solar phenomena. Throughout his career, Dr. Panja has supervised numerous PhD and M.Tech students and has been the principal investigator in various research projects funded by prestigious organizations. His work is highly respected for its innovation and impact on both academic and industrial practices.
Professional Profile
Education
Dr. Panja completed his Bachelor of Engineering (B.E.) in Mechanical Engineering from Jadavpur University, Kolkata, in 1997. He pursued a Master of Technology (M.Tech) in Reliability and Quality Engineering from the Indian Institute of Technology (IIT) Kharagpur, India, in 1999. Following this, he earned his Doctor of Philosophy (Ph.D.) in Engineering Science from the Department of Industrial Engineering and Management at IIT Kharagpur in 2008. His education has laid a solid foundation for his subsequent contributions to mechanical and industrial engineering research.
Professional Experience
Dr. Subhash Chandra Panja’s professional career spans various teaching and research roles. He has served as a Lecturer at multiple institutions, including JIS College of Engineering, Asansol Engineering College, and the Institute of Technology and Marine Engineering. He began his tenure at Jadavpur University in 2007, where he has steadily advanced through the ranks from Lecturer to Associate Professor and, eventually, Professor in 2015. His work has significantly shaped the Department of Mechanical Engineering, contributing to its growth in both teaching and research excellence. Dr. Panja’s extensive experience in academia, paired with his consultancy work, reflects his leadership and commitment to the advancement of engineering education and practice.
Research Interests
Dr. Panja’s research interests lie at the intersection of Reliability and Quality Engineering, Industrial Engineering, and Operations Management. He focuses on the optimization of industrial processes, including the analysis of machine tool reliability, railway signaling systems, and solar phenomena. Dr. Panja is also deeply engaged in applying machine learning techniques to improve the efficiency and productivity of manufacturing processes, particularly in high-speed machining and 3D printing. His interdisciplinary approach blends traditional engineering with modern computational techniques, making his work highly relevant to both academia and industry.
Research Skills
Dr. Panja possesses a diverse set of research skills, including expertise in quantitative analysis, reliability modeling, and optimization techniques. He is proficient in using advanced software tools for data analysis, machine learning, and simulation, which he applies to solve complex engineering problems. His research also involves experimental work, particularly in the areas of high-speed machining, material behavior analysis, and industrial process optimization. Dr. Panja’s ability to integrate theory with practical applications has made him a valuable researcher in both academic and industrial domains.
Awards and Honors
Throughout his career, Dr. Subhash Chandra Panja has received several recognitions for his contributions to research and academia. Notably, he has been awarded research funding from the Department of Science and Technology and Biotechnology, West Bengal Government, for his work on mechanical behavior analysis of 3D printed materials. Additionally, he has been involved in high-impact consultancy projects, including a project to modernize casting shops for Braithwaite Co. and Ltd. His applied research in areas like reliability analysis and optimization of industrial processes has garnered respect within the academic community and industry. Furthermore, Dr. Panja’s dedication to student mentorship has contributed to the success of numerous PhD and M.Tech scholars under his supervision.
Conclusion
Dr. Subhash Chandra Panja is highly deserving of the Best Faculty Award for Research, thanks to his long-standing contributions to Mechanical Engineering and Industrial Engineering. His leadership in research projects, extensive mentorship, and impactful consultancy work exemplify the qualities of an exceptional academic. By expanding his international collaborations and publishing in higher-impact journals, Dr. Panja can elevate his global standing and continue to contribute significantly to both academia and industry.
Publication Top Notes
- Reliability analysis of cutting tools using transformed inverse Gaussian process-based wear modelling considering parameter dependence
- Authors: Das, M., Naikan, V.N.A., Panja, S.C.
- Year: 2024
- Analysis of mesostructural characteristics and their influence on tensile strength of ABS specimens manufactured through fused deposition modeling
- Authors: Sahoo, S., Panja, S.C., Sarkar, D., Saha, R., Mandal, B.B.
- Year: 2024
- A review of cutting tool life prediction through flank wear monitoring
- Authors: Das, M., Naikan, V.N.A., Panja, S.C.
- Year: 2024
- Reliability analysis of PVD-coated carbide tools during high-speed machining of Inconel 800
- Authors: Das, M., Naikan, V.N.A., Panja, S.C.
- Year: 2024
- Citations: 3
- Signaling Relay Contact Failure Analysis with 3D Profilometry, SEM and EDS
- Authors: Sau, S., Kumar, S., Patra, S.N., Panja, S.C.
- Year: 2024
- Development of high specific strength acrylonitrile styrene acrylate (ASA) structure using fused filament fabrication
- Authors: Rakshit, R., Kalvettukaran, P., Acharyya, S.K., Panja, S.C., Misra, D.
- Year: 2023
- Citations: 1
- An Improved Prediction of Solar Cycle 25 Using Deep Learning Based Neural Network
- Authors: Prasad, A., Roy, S., Sarkar, A., Panja, S.C., Patra, S.N.
- Year: 2023
- Citations: 7
- Analysis of Axle Counter Performance: A Case Study of Kolkata Metro Railway
- Authors: Sau, S., Kumar, S., Sarkar, D., Panja, S.C., Patra, S.N.
- Year: 2023
- Study of Distribution and Asymmetry in Soft X-ray Flares over Solar Cycles 21–24
- Authors: Amrita Prasad, Roy, S., Panja, S.C., Patra, S.N.
- Year: 2022
- Citations: 1
- An Experimental Investigation of Surface Roughness and Print Duration on FDM Printed Polylactic Acid (PLA) Parts
- Authors: Rakshit, R., Ghosal, A., Paramasivan, K., Misra, D., Panja, S.C.
- Year: 2022
- Citations: 2