1. Krishnan, Hema, and Philip Samuel. “Relative Extraction Methodology for class diagram generation using dependency graph.” 2010 International conference on communication control and computing technologies. IEEE, 2010. (scopus indexed)
2. Krishnan, Hema, and Philip Samuel. “Class Model Generation using Two-Level Grammar.” International Journal of Computer Science and Information Technology: 227.
3. Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “Impact and Application of Sentiment Analysis using Twitter: A Survey.” International J. of Advanced Research in Computer and Communication Engineering,(IJARCCE) 4 (2015): 18-21.
4. Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “MongoDB–a comparison with NoSQL databases.” International Journal of Scientific and Engineering Research 7 (2016): 1035-1037.
5. Mathew, Daya Mary, and Hema Krishnan. “Polarity Shift Handling Techniques: A Survey.” IJCA. Vol. 158. No. 6. 2017.
6. Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “Emotion detection of tweets using naive bayes classifier.” Emotion 4.11 (2017): 457-62.
7. Krishnan, Hema, M. Sudheep, and T. Santhanakrishnan. “Sentiment analysis of tweets for inferring popularity of mobile phones.” International Journal of Computer Applications 157.2 (2017): 1-3.
8. Krishnan, Hema, et al. “A Novel Underwater Image Enhancement Technique using ResNet.” 2020 IEEE 4th Conference on Information & Communication Technology (CICT). IEEE, 2020. (scopus indexed)
9. Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “Weighted holoentropy-based features with optimised deep belief network for automatic sentiment analysis: reviewing product tweets.” Journal of Experimental & Theoretical Artificial Intelligence (2021): 1-29. (sci indexed).
10. Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “Optimization assisted convolutional neural network for sentiment analysis with weighted holoentropy-based features.” International Journal of Information Technology & Decision Making 20.04 (2021): 1261-1297. (sci indexed).
11. Krishnan, Hema, et al. “Machine Learning based Sentiment Analysis of Coronavirus Disease Related Twitter Data.” 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC). IEEE, 2021. (scopus indexed).
12. Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “Sentiment analysis of product reviews using weighted distance-based whale optimisation assisted deep belief network.” International Journal of Business Information Systems 39.2 (2022): 241-277. (scopus indexed)

Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “A Comprehensive Survey on Sentiment Analysis in Twitter Data.” International Journal of Distributed Systems and Technologies (IJDST) 13.5 (2022): 1-22. (sci indexed).

1. Selected as doctoral committee member of KTU research scholar in 2022.
2. Chaired technical paper presentation competition organized by FIESTA, MCA Association, FISAT on 12th July 2022.
3. Presented a paper titled “A Novel Underwater Image Enhancement Technique using ResNet.”in 2020 IEEE 4th Conference on Information & Communication Technology (CICT) organized by IIIT, Kancheepuram
4. Presented a paper titled “Machine Learning based Sentiment Analysis of Coronavirus Disease Related Twitter Data.” in 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC) organized by NIT Jalandar.
5. Completed online certificate on Deep learning for beginners conducted by Centre for AI, TKM College of Emgineering, Kollam. 
6. Presented a paper titled “Pose Estimation of Yoga Poses using ML Techniques” in the IEEE Indicon 2022 conference organized by CUSAT.

Ph.D awarded from School of Engineering, CUSAT for the thesis entitled ‘ “Design and  optimization of efficient classification models for sentiment analysis of product reviews”.

FDPs attended

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