CSE Department, PhD (IIT Roorkee)

Machine Learning, Deep Learning, Data Science, Software Fault Prediction, and Android Malware Detection, Software Engineering , Deep Fake Detection

Journals

1. Bal, P. R., and Kumar, S., "WR-ELM: Weighted Regularization Extreme Learning Machine for Imbalance Learning in Software Fault Prediction", IEEE Transactions on Reliability, vol. 69, no. 4, pp. 1355-1375, 2020. (Impact Factor: 5)  
2. Bal, P. R., and Kumar, S., "RELMP-MM: An Approach to Cross Project Fault Prediction using Improved Regularized Extreme Learning Machine and Identical Matched Metrics", Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 10, pp. 13523-13542, 2022. (Impact Factor: 3.662)  
3. Bal, P. R., and Kumar, S., " A Data Transfer and Relevant Metrics Matching based Approach for Heterogeneous Defect Prediction", IEEE Transactions on Software Engineering, vol. 49, no. 3, pp. 1232-1245, 2022. (Impact Factor: 6.5)
4. Bal, P. R., and Kumar, S., "An Approach for Cross Project Defect Prediction Using Identical Metrics Matching and  Deep Neural Network", IEEE Transactions on Reliability, 2024. (Impact Factor: 5)
5. Bal, P. R., and Kumar, S., "Cross Project Defect Prediction using Dropout Regularized Deep Learning and Unique Matched Metrics ", ACM Transactions on Management Information Systems , 2024. (Impact Factor: 2. 5)

Conferences

1. Bal, P. R., Jena, N., and Mohapatra, D. P., "Software reliability prediction based on ensemble models", Proceeding of International Conference on Intelligent Communication, Control and Devices, Springer, Singapore, 2017, pp. 895-902.
2. Bal, P. R., and Mohapatra, D. P., "Software Reliability Prediction Based on Radial Basis Function Neural Network", Proceedings of International Conference on Computational Intelligence, Springer, Singapore, 2017, pp. 101-110.
3. Bal, P. R., and Kumar, S., "Extreme Learning Machine based Linear Homogeneous Ensemble for Software Fault Prediction", Proceedings of 13th International Conference on Software Technologies, Porto, 2018, Vol. 1, pp. 69-78. (Core B and Era B Rank).
4. Bal, P. R., and Kumar, S., "Cross-Project Defect Prediction using Extreme Learning Machine: An Ensemble-based Study", Proceedings of 13th International Conference on Software Technologies, Porto, 2018, Vol. 1, pp. 320-327. (Core B and Era B Rank).
5. Shukla S., Kumar S., and Bal, P. R., "Analysing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation ", Proceeding of 2019 IEEE World Congress on Services, Milan, 2019, pp.384-385. (Core B and Era B Rank).

Book Chapters

1. Kumar A, Sahoo S. S., Kumar S, Bal P. R., Rout J. K., Chaurasiya V. K., "Secure Certificateless Maximum Achievable Throughput in Successive IoT Relay Networks," In Information Technology Security: Modern Trends and Challenges 2024 Apr 2 (pp. 189-208). Singapore: Springer Nature Singapore.