Academic Profile
• Ph.D. in Mechatronics Engineering, VIT University, Chennai
• M.E. (Power Electronics and Drives) from Kongu Engineering College, Erode – First Class, 8.18 CGPA
• B.E. (Electrical and Electronics Engineering) from Vivekanandha College of Engineering for Women

Professional Experience
• Assistant Professor in Computer Science and Engineering (Internet of Things), Nandha Engineering College, Erode – 638052 (from 12.06.2024)
• Junior Research Fellow, VIT University, Chennai (05.05.2017 to 05.05.2020)

SCI Indexed Research Articles

1. Sakthivel G, Saravanakumar D, Jegadeeshwaran R, Rajakumar R, Alamelu Manghai T M, & Abirami, S. (2024) ‘Development of a Real-Time Fault Detection Model for Hydraulic Brake Systems Using Vibration Analysis and Machine Learning with Wavelet Features’ IEEE Access.
   
   

2. Jegadeeshwaran R, Sakthivel G, Saravana Kumar D, Alamelu Manghai T M and Sivakumar R (2021), ‘Application of Artificial Immune Recognition System for Monitoring the Brake System Using Vibration-Based Statistical Learning’, IEEE Consumer Electronics Magazine 11(4), pp.85–91.
   
   

3. Alamelu Manghai T M, Jegadeeshwaran R (2019), ‘Vibration based brake health monitoring using wavelet features: A machine learning approach’, Journal of Vibration and Control 25(18), pp. 2534–2550.
   
   

4. Alamelu Manghai T M, Jegadeeshwaran R (2019), ‘Application of FURIA for finding the faults in a hydraulic brake system using a vibration analysis through a machine learning approach’, International Journal of Prognostics and health Management 10(1), pp.01–09.
   
   

Scopus Indexed Research Articles

1. Alamelu Manghai T M, Jegadeeshwaran R, Lakshmipathi J, Sugumaran V and Sakthivel G (2022) ‘Vibration-Based Fault Diagnosis Study on a Hydraulic Brake System Using Fuzzy Logic with Histogram Feature’ Structural durability and health monitoring 16(4), pp 383–396.
   
   

2. Mohit Nikhil Wagh, Alamelu Manghai T M, Jegadeeshwaran R, Saravana Kumar D and Raghukiran N (2021), ‘Application of Meta family Classifiers for monitoring hydraulic brake system using vibration based statistical learning approach’, Journal of Physics: Conference Series, pp.012050.
   
   

3. Hari Pranesh, Khiran Suresh, Swetha S Manian, Jegadeeshwaran R, Sakthivel G and Alamelu Manghai T M (2021), ‘Vibration-based brake health prediction using statistical featuresA machine learning framework’, Materials Today: Proceedings, pp.1167-1173.
   
   

4. Alamelu Manghai T M, Jegadeeshwaran R, Sakthivel G and Saravana Kumar D (2020), ‘Condition Monitoring of Hydraulic Brake System Using Rough Set Theory and FUZZY Rough Nearest Neighbor Learning Algorithms’, In 2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), pp. 190–195. IEEE.
   
   

5. Alamelu Manghai T M, Jegadeeshwaran R, Sakthivel G, Sivakumar R and Saravana Kumar D (2019), ‘Condition Monitoring of Hydraulic Brake System Using Rough Set Theory and FUZZY Rough Nearest Neighbor Learning Algorithms’, In 2019 IEEE International Symposium on Smart Electronic Systems (iSES)(Formerly iNiS), pp. 229–232. IEEE.
   
   

6. Alamelu Manghai T M, Jegadeeshwaran R (2019), ‘Vibration based real time brake health monitoring system - A machine learning approach’, IOP Conference Series: Materials Science and Engineering 624(1), pp.012027.
   
   

7. Alamelu Manghai T M, Jegadeeshwaran R, and Sakthivel G (2019), ‘Real time condition monitoring of hydraulic brake system using naive bayes and bayes net algorithms’, IOP Conference Series: Materials Science and Engineering 624(1), pp.012028.
   
   

8. Kundur Shantisagar, Jegadeeshwaran R, Sakthivel G, Alamelu Manghai T M (2019), ‘Vibration based tool insert health monitoring using decision tree and fuzzy logic’, Structural durability and health monitoring 13(3), pp 303–316.
   
   

9. Alamelu Manghai T M, Jegadeeshwaran R, and Sugumaran V (2018), ‘Vibration based condition monitoring of brake system using statistical features with logit boost and simple logistic algorithm’, International Journal of Performability Engineering 14(01), pp 01–08.
   
   

10. Alamelu Manghai T M, Jegadeeshwaran R, and Sugumaran V (2017), ‘Brake fault diagnosis through machine learning approaches A review’, Structural durability and health monitoring 12(1), pp 43–67.
    
    

11. Alamelu Manghai T M, Jegadeeshwaran R (2017), ‘Feature based vibration monitoring of a hydraulic brake system using machine learning’, Structural durability and health monitoring 11(2), pp 149–167.
    
    

Professional Society Membership

• Life Member – Indian Society for Technical Education (ISTE)