Dr. Shweta Meena

 

• Machine Learning
• Software Quality and Metrics
• Empirical Software Engineering
• Methods in Data Analytics
• Software Testing
• Programming Fundamentals

• IEEE
• ACM

 

1. Singhal, A., Soni, A., & Meena, S. (2025). Comparative analysis of optimization algorithms in machine learning models for Parkinson's disease prediction. International Journal of System Assurance Engineering and Management, 1-12. DOI: https://doi.org/10.1007/s13198-025-03048-0.
2. Malhotra, R., & Meena, S. (2024). Empirical validation of feature selection techniques for cross-project defect prediction. International Journal of System Assurance Engineering and Management, 15(5), 1743-1755. DOI: https://doi.org/10.1007/s13198-023-02051-7.
3. Malhotra, R., & Meena, S. (2024). A systematic review of transfer learning in software engineering. Multimedia Tools and Applications, 83(39), 87237-87298. DOI: https://doi.org/10.1007/s11042-024-19756-x.
4. Malhotra, R., & Meena, S. (2022). Defect prediction model using transfer learning: R. Malhotra, S. Meena. Soft Computing, 26(10), 4713-4726. DOI: https://doi.org/10.1007/s00500-022-06846-x.
5. Malhotra, R., & Meena, S. (2024). Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction. Journal of Computational Science, 76, 102230. DOI: https://doi.org/10.1016/j.jocs.2024.102230.
6. Meena, S., Vats, K., & Kumar, D. Review of Factors Affecting Facial Recognition Algorithms Performance. International Journal of Health Sciences, (III), 9528-9541. DOI: https://doi.org/10.53730/ijhs.v6nS3.8253.

• Commendable Research Excellence Award 2023.
• Commendable Research Excellence Award 2025.