Currently working as an Assistant Professor in the Department of Software Engineering in Delhi Technological University (Formerly Delhi College of Engineering), Bawana Road, Govt of NCT of Delhi from December 2020 to Till date.

Google Scholar (h-index: 5):  https://scholar.google.co.in/citations?user=CIZExOsAAAAJ&hl=en&oi=ao

ORCID:
https://orcid.org/0000-0003-0888-8465

List of Publications (SCIE/SCOPUS/ESCI INDEXED):

1.Shweta Meena, Ruchika Malhotra, “A systematic review of transfer learning in software engineering”, Multimedia Tools and Applications, 2024, DOI: 10.1007/s11042-024-19756-x, https://doi.org/10.1007/s11042-024-19756-x

2. Shweta Meena, Ruchika Malhotra, “Empirical validation of feature selection techniques for cross-project defect prediction”, International Journal of System Assurance Engineering and Management, 2024, DOI: 10.1007/s13198-023-02051-7, https://doi.org/10.1007/s13198-023-02051-7

3. Shweta Meena, Ruchika Malhotra, “Defect prediction model using transfer learning”, Soft Computing, 2022, DOI: 10.1007/s00500-022-06846-x, https://doi.org/10.1007/s00500-022-06846-x

4. Shweta Meena, Ruchika Malhotra, “Empirical Validation of Cross-Version and 10-Fold Cross-Validation for Defect Prediction”, in IEEE 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), August 04, 2021, DOI: 10.1109/ICESC51422.2021.9533030

5. Shweta Meena, S. Singh Bhadauriya, S. Kushwaha, “Real-Time Face Detection and Face Recognition: Study of Approaches”, in Springer 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (ICMISC 2022), 2023, DOI: 10.1007/978-981-19-6088-8_27

6. Shweta Meena, M. Jawa, “Software Effort Estimation Using Synthetic Minority Over-Sampling Technique for Regression (SMOTER)”, in 2022 3rd International Conference for Emerging Technology (INCET-2022), 2022

7. Shweta Meena, S. Gautam, T. Mathuria, “Image Segmentation for Self-Driving Car”, in IEEE 2022 2nd International Conference on Intelligent Technologies (CONIT-2022), June 24, 2022, DOI: 10.1109/CONIT55038.2022.9847974

8. Shweta Meena, A. Agarwal, “A Comparative Study of Deep Learning and Machine Learning Algorithm for Sentiment Analysis”, in IEEE 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), November 11, 2022, DOI: 10.1109/ICRITO.2018.8748793

9. Shweta Meena, S. Pasrija, S. Sahu, “Audio Based Music Genre Classification Using Convolutional Neural Networks Sequential Model”, in IEEE 8th International Conference for Convergence in Technology (I2CT), April 7, 2023, DOI: 10.1109/I2CT57861.2023.10126446

10. Shweta Meena, Y. Daga, “Applications of Human Activity Recognition in Different Fields: A Review”, in 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), December 2, 2022, DOI: 10.1109/UPCON56432.2022.9986408

11. Shweta Meena, T. Sapra, “A Novel Approach to Handle Imbalanced Dataset in Machine Learning”, in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), April 7, 2023, DOI: 10.1109/I2CT57861.2023.10126309

12. Shweta Meena, Ruchika Malhotra, “Grid Search-Optimized Artificial Neural Network for Heterogeneous Cross-Project Defect Prediction”, in Springer International Conference on Data Analytics & Management, June 23, 2023, DOI: 10.1007/978-981-99-6550-2_34, https://doi.org/10.1007/978-981-99-6550-2_34

13. Shweta Meena, S. Sah, S. Prakash, “Forest Fire Detection Using Convolutional Neural Network Model”, in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), April 7, 2023, DOI: 10.1109/ICMNWC56175.2022.10031936

14. Shweta Meena, P.D. Thushari, S. Niazi, “Transfer Learning Approach to Multilabel Biomedical Literature Classification Using Transformer Models”, in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), April 7, 2023, DOI: 10.1109/I2CT57861.2023.10126262

15. Shweta Meena, Ruchika Malhotra, A. Budhiraja, A.K. Singh, I. Ghoshal, “Multiple Feature Selection Frameworks Based on Evolutionary Computing and Ensemble Learning for Software Defect Prediction”, in IEEE 5th International Conference on Computational Intelligence and Networks (CINE), December 1, 2022, DOI: 10.1109/CINE56307.2022.10037473

16. Shweta Meena, M. Jawa, “Comparative Analysis of Ensemble Models for Software Effort Estimation”, in Springer Advances in Data and Information Sciences: Proceedings of ICDIS 2022, November 25, 2022, DOI: 10.1007/978-981-19-5292-0_5

17. Shweta Meena, A.S. Hyanki, T. Kumar, “A Survey on Intrinsically Motivated Reinforcement Learning”, in International Journal of Engineering Research & Technology, 2021

18. Shweta Meena, Ruchika Malhotra, “A Systematic Review of Transfer Learning in Software Engineering”, in Multimedia Tools and Applications, 2024, URL: https://doi.org/10.1007/s11042-024-19756-x

19. Shweta Meena, N. Samuel, T. Aaron, “Human Activity Recognition Using Federated Transfer Learning”, in Doctoral Symposium on Computational Intelligence, 2024, DOI: https://doi.org/10.1007/978-981-97-6036-7_10

20. Shweta Meena, Ruchika Malhotra, “Empirical Validation of Machine Learning Techniques for Heterogeneous Cross-Project Change Prediction and Within-Project Change Prediction”, in Journal of Computational Science, 76:102230, 2024, DOI: https://doi.org/10.1016/j.jocs.2024.102230

21. Shweta Meena, Ruchika Malhotra, “Empirical Validation of Software Defect Prediction Models Using Grid Search Gray Wolf Optimization”, in International Conference on Computing and Communication Networks, 2023, DOI: https://doi.org/10.1007/978-981-97-2671-4_56

22. Shweta Meena, D. Singh, A.H. Khan, “Fake News Detection Using Ensemble Learning Models”, in International Conference on Data Analytics & Management, 2023, DOI: https://doi.org/10.1007/978-981-99-6553-3_4

23. Shweta Meena, V. Kumar, S.P. Singh, “Enhancing Pneumonia Detection from Chest X-ray Images Using Convolutional Neural Network and Transfer Learning Techniques”, in International Conference on IoT Based Control Networks and Intelligent [Complete Conference Name Not Provided], 2023, DOI: https://doi.org/10.1007/978-981-99-6586-1_51

24. Shweta Meena, G. Goyal, H.S. Sheoran, “Hybrid Information-Based Sign Language Recognition System”, in International Conference on IoT Based Control Networks and Intelligent [Complete Conference Name Not Provided], 2023, DOI: https://doi.org/10.1007/978-981-99-6586-1_43

25. Shweta Meena, D. Singh, H. Kumar, “Face Mask Detection Using YOLOv3”, in Proceedings of International Conference on Data Science and Applications, 2023, URL: https://doi.org/10.1007/978-981-19-6631-6_55

26. Shweta Meena, V. Dohare, “Fake News Detection Using Machine Learning”, in Advances in Data and Information Sciences: Proceedings of ICDIS 2022, 2022, DOI: https://doi.org/10.1007/978-981-19-5292-0_30

27. Shweta Meena, T. Kharkwal, “Prediction Markets Using Machine Learning”, in International Conference on Advances in Data Science and Computing, 2022, DOI: https://doi.org/10.1007/978-981-99-3656-4_22

28. Shweta Meena, A. Gautam, A. Gupta, B. Singh, A. Singh, “Development of Homogenous Cross-Project Defect Prediction Model Using Artificial Neural Network”, in International Conference on Advancements in Interdisciplinary Research, 2022, DOI: 10.1109/ICRITO51393.2021.9596136

29. Shweta Meena, A. Sangalay, N. Srivastava, “Coronavirus and Pneumonia Detection from X-Ray Images Harnessing Deep Learning and Transfer Learning Techniques”, in 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021

30. Shweta Meena, Ruchika Malhotra, “Design and Development of a Tool for Analyzing the Effect of Refactoring on Maintainability”, in 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2018, DOI: 10.1109/ICRITO.2018.8748274

31. Shweta Meena, R. Johari, J.S. Sundharam, K. Gupta, “CbdA: Cloud Computing Based DMIS on ANEKA”, in Information, Communication and Computing Technology: Second International Conference, ICICCT 2017, New Delhi, India, May 13, 2017, Revised Selected Papers 2, 2017, DOI: https://doi.org/10.1007/978-981-10-6544-6_1

32. Shweta Meena, K. Vats, D. Kumar, “Review of Factors Affecting Facial Recognition Algorithms Performance”, in International Journal of Health Sciences, DOI: 10.53730/ijhs.v6nS3.8253

33. Shweta Meena, Ruchika Malhotra, “Empirical Validation of Software Defect Prediction Models Using Grid Search Gray Wolf Optimization”, Book Chapter, 2025, DOI: 10.1007/978-981-97-2671-4_56, https://doi.org/10.1007/978-981-97-2671-4_56

34. Shweta Meena, Gaurav Goyal, Himalaya Singh Sheoran, “Hybrid Information-Based Sign Language Recognition System”, Book Chapter, 2024, DOI: 10.1007/978-981-99-6586-1_43, https://doi.org/10.1007/978-981-99-6586-1_43

35. Shweta Meena, Devesh Singh, Himanshu Kumar, “Face Mask Detection Using YOLOv3”, Book Chapter, 2023, DOI: 10.1007/978-981-19-6631-6_55, https://doi.org/10.1007/978-981-19-6631-6_55

36. Shweta Meena, Devanshi Singh, Ahmad Habib Khan, “Fake News Detection Using Ensemble Learning Models”, Book Chapter, 2023, DOI: 10.1007/978-981-99-6553-3_4, https://doi.org/10.1007/978-981-99-6553-3_4

37. Shweta Meena, Ruchika Malhotra, “Grid Search-Optimized Artificial Neural Network for Heterogeneous Cross-Project Defect Prediction”, Book Chapter, 2023, DOI: 10.1007/978-981-99-6550-2_34, https://doi.org/10.1007/978-981-99-6550-2_34