Educational Qualification
- Tech. – NSS College of Engineering, Palakkad (2013)
- Tech. – NIT Warangal (2016)
- D. – NIT Warangal (2022)
Specialization:
- Manufacturing Engineering
Current Research Interest:
- Predictive Maintenance
- Vibration-Based Machine Condition Monitoring
- Single & Multi-objective Optimization
- IoT, Artificial Intelligence
Administrative Responsibilities:
- Department NBA Coordinator
- Media Club In-charge
- Research Cell Member
- Add-On Course In-charge
Publication Details:
International Journals:
- Thoppil, N.M., Vasu, V., and Rao, C. “Bayesian optimization LSTM/bi-LSTM network with self-optimized structure and hyperparameters for remaining useful life estimation of lathe spindle unit.” ASME Journal of Computing and Information Science in Engineering, April 2022; 22(2): 021012. https://doi.org/10.1115/1.4052838 (ASME, SCIE)
- Thoppil, N.M., Vasu, V. & Rao, C.S.P. On the Criticality Analysis of Computer Numerical Control Lathe Subsystems for Predictive Maintenance. Arabian Journal for Science and Engineering, 45, 5259–5271 (2020). https://doi.org/10.1007/s13369-020-04397-7 (SCIE)
- Thoppil, N.M., Vasu, V. & Rao, C.S.P. Deep Learning Algorithms for Machinery Health Prognostics Using Time-Series Data: A Review. Journal of Vibration Engineering & Technologies, 9, 1123–1145 (2021). https://doi.org/10.1007/s42417-021-00286-x (SCIE)
- Thoppil, N.M., Vasu, V. & Rao, C.S.P. Failure Mode Identification and Prioritization Using FMECA: A Study on Computer Numerical Control Lathe for Predictive Maintenance. Journal of Failure Analysis and Prevention, 19, 1153–1157 (2019). https://doi.org/10.1007/s11668-019-00717-8 (SCOPUS, ESCI)
- Thoppil, N.M., Vasu, V. & Rao, C.S.P. “Health indicator construction and remaining useful life estimation for mechanical systems using vibration signal prognostics”. International Journal of System Assurance Engineering and Management, 12, 1001–1010 (2021). https://doi.org/10.1007/s13198-021-01190-z (SCOPUS, ESCI)
- Thoppil, N.M., Kishore Kumar Kandi, N Selvaraj, C S P Rao, “An evolutionary approach for modeling and optimization of gelcasting of ceramics”. In Materials Today: Proceedings Volume 4, Issue 8, 2017, pp. 8296–8306. (SCOPUS)
- Thoppil, N.M., Vasu, V. & Rao, C.S.P. “An Integrated Learning Algorithm for Vibration Feature Selection and Remaining Useful life Estimation of Lathe Spindle Unit”, Journal of Failure Analysis and Prevention, 22, 1693–1701 (2022). DOI: 10.1007/s11668-022-01463-0 (SCOPUS, ESCI)
International Conferences
- Nikhil M Thoppil, V Vasu, and C S P Rao, “An Integrated Learning Algorithm for Vibration Feature Selection and Remaining Useful life Estimation of Lathe Spindle Unit,” SASM-2021: International Conference on Simulation, Automation & Smart Manufacturing IEEE conference, India, August 20-21, 2021
- Nikhil M Thoppil, Kishore Kumar Kandi, N Selvaraj, C S P Rao, “Multigene genetic programming modeling and analysis of gelcasting preparation of ceramics”, Proceedings of 6th International & 27th All India Manufacturing Technology, Design, and Research Conference (AIMTDR-2016), ISBN: 978-93-86256-27-0, pages: 1823-1827
- Nikhil M Thoppil, V Vasu, and C S P Rao, “Vibration signal analysis for the prognostics of computer numerical control (CNC) lathe spindle unit,” International Conference on Precision Meso Micro Nano Engineering (COPEN), India, December 2019.
- Nikhil M Thoppil, V Vasu, and C S P Rao, “Sensor-Based Method for Condition Monitoring of Machine Tools: A Review,” International Conference on Advanced Functional Materials and Devices ICFMD 2019, India, 26th- 28th February, 2019
International Conferences
- Nikhil M Thoppil, V Vasu, and C S P Rao, “Condition-Based Maintenance of Machine Tool Spindle Unit: A Review,” National Conference on Emerging Trends in Mechanical Engineering, Proceedings of EMTE 2019, pp. 206-211
Professional Experience:
- Teaching – 1.5 years
- Research – 5 years
