Specialization

Machine Learning, Software Testing and Defect Prediction, Optimization

Email

manpreet.singh1 @thapar.edu

Education
1.    PhD in Computer Science and Engineering from National Institute of Technology, Kurukshetra, India. (2025)
o    Title – Improved Software Defect Prediction in Object-Oriented System based on New Structural Code Metrics using Machine Learning  
2.    M. Tech. in Computer Science and Applications from Thapar University, Patiala, India. (2017)
o    Title - Design a Distribution Network in Supply Chain System using Facility Location Algorithm
3.    B. Tech. in Computer Science and Engineering from Chandigarh Group of Colleges, Gharuan, Mohali, India. (2014)
4.    Diploma in Computer Engineering from Thapar Poly. Tech. College, Patiala, India. (2011)
5.    Schooling from Rajpura, Patiala, Punjab, India. (2008)

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (25- Sep-2025 to present)
2.    Assistant Professor, Computer Science and Engineering Department, Punjab Engineering College, Chandigarh (12-Aug-2024 to 24-Sep-2025)
3.    Software Developer, Amdocs Pvt. Ltd., Pune, India (31-Jul-2017 to 05-may- 2019)

Patent Granted
1.    Chhabra, Jitender Kumar, Bharat, Kumar, Vinay, and Singh, Manpreet. “Method and System of File Encryption and Decryption on an External Device Based On Multiple Keys.” 511374, 19/02/2021, National Institute of Technology, Kurukshetra.

Journal publications
1.    Singh, M., & Chhabra, J. K. (2024). Machine learning based improved cross-project software defect prediction using new structural features in object oriented software. Applied Soft Computing, 165, 112082.

2.    Singh, M., & Chhabra, J. K. (2024). Improved software fault prediction using new code metrics and machine learning algorithms. Journal of Computer Languages, 78, 101253.

3.    Singh, M., & Chhabra, J. K. (2024). An efficient instance selection algorithm for fast training of support vector machine for cross-project software defect prediction pairs. Journal of Computer Languages, 81, 101301.

4.    Singh, M., & Chhabra, J. K. (2025). Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm. JUCS - Journal of Universal Computer Science, 31(5): 469-493.

5.    Singh, Manpreet, and Jitender Kumar Chhabra. "A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction." Kuwait Journal of Science 50, no. 2A (2023).

6.    Singh, Manpreet, and Jitender Kumar Chhabra. "Improved Software Fault Prediction Model Based on Optimal Features Set and Threshold Values Using Metaheuristic Approach." SN Computer Science 4, no. 6 (2023): 770.

7.    Singh, M., & Chhabra, J. K. (2024). “A parameter-free nearest neighbor algorithm with reduced prediction time and improved performance through injected randomness.” Neural Computing and Applications, 1-26.

8.    Bhangu, Manpreet Singh, Rimmi Anand, and Vijay Kumar. "Lagrangian relaxation for distribution networks with cross-docking centre." International Journal of Intelligent Systems Technologies and Applications 18, no. 1-2 (2019): 52-68.

Conference publications
1.    Singh, Manpreet, and Jitender Kumar Chhabra. "Software Fault Prediction Using Machine Learning Models and Comparative Analysis." In Futuristic Trends in Network and Communication Technologies: Third International Conference, FTNCT 2020, Taganrog, Russia, October 14–16, 2020, Revised Selected Papers, Part I 3, pp. 30-45. Springer Singapore, 2021.

Honours and Achievements
●    Qualified Graduate Aptitude Test in Engineering (GATE) with 616 GATE Score in 2018.
●    Qualified Graduate Aptitude Test in Engineering (GATE) five times.
●    Qualified National Eligibility Test (UGC-NET) for JRF in 2018 with 245 marks.