Research

Research Interests:

1. Software Engineering

2. Machine Learning and Deep Learning applications

3. Data Science

4. BLOCKchain (in early stage)

5. Image Processing, Computer Vision (in early stage)

Journals:

Belwal, R. C., Rai, S., & Gupta, A. (2022). Extractive text summarization using clustering-based topic modeling. Soft Computing. (SCIE, IF:3.7)

Rai, S., Belwal, R. C., & Gupta, A. (2022). Is the Corpus Ready for Machine Translation? A Case Study with Python to Pseudo-Code Corpus. Arabian Journal for Science and Engineering, 1-14. (SCIE, IF:2.8)

Rai, S., Belwal, R. C., & Gupta, A. (2022). Generating class name in sequential manner using convolution attention neural network. Expert Systems with Applications, 116854. (SCIE, IF:8.66)

Rai, S., Belwal, R. C., & Gupta, A. (2022). A Review on Source Code Documentation. ACM Transactions on Intelligent Systems and Technology (TIST). (SCIE, IF:10.4)

Rai, S., Belwal, R. C., & Gupta, A. (2022). Accurate Module Name Prediction using similarity based and sequence generation models. Journal of Ambient Intelligence and Humanized Computing. (SCIE, IF:3.66)

Rai, S., Belwal, R. C., & Gupta, A. (2021). Effect of Identifier Tokenization on Automatic Source Code Documentation. Arabian Journal for Science and Engineering, 1-17. (SCIE, IF:2.8)

Malviya, V. K., Rai, S., & Gupta, A. (2020). Development of web browser prototype with embedded classification capability for mitigating Cross-Site Scripting attacks. Applied Soft Computing, 106873. (SCIE, IF:8.26)

Belwal, R. C., Rai, S., & Gupta, A. (2020). A new graph-based extractive text summarization using keywords or topic modeling. Journal of Ambient Intelligence and Humanized Computing, 1-16. (SCIE, IF:3.66)

Belwal, R. C., Rai, S., & Gupta, A. (2021). Text summarization using topic-based vector space model and semantic measure. Information Processing & Management, 58(3), 102536. (SCIE, IF:7.46)

Conferences:

Tiwari, P., & Rai, S. (2021, September). Mind Your Tweet: Abusive Tweet Detection. In 23rd International Conference on Speech and Computer (pp. 704-715). Springer, Cham

Malviya, Vikas, Sawan Rai, and Atul Gupta. "Development of a plugin based extensible feature extraction framework." Proceedings of the 33rd Annual ACM Symposium on Applied Computing. 2018.

Rai, Sawan, et al. "Method level text summarization for java code using nano-patterns." 2017 24th Asia-Pacific Software Engineering Conference (APSEC). IEEE, 2017.

P2xmlGen

Classifier Performance Analysis with variable class count and dataset.

Python practice examples