• Selected as research supervisor under KTU in 2023.
• Successfully completed NPTEL course on Data mining with Elte silver in 2023.
• Reviewer of upcoming conferences organized by EEE department FISAT, MEC, Thrikkakara and Mar Baselious Trivandrum in 2023.
• Successfully completed NPTEL course on Machine learning in 2023.
• Presented a paper tiled ‘An intelligent interactive chatbot for handling academic queries’ in International Conference on Computational Intelligence, Networks and Security (ICCINS-2023) organized by Lakireddy Bali Reddy College of Engineering (Autonomous), Andhra Pradesh, India.
• Completed online certificate on Deep learning for beginners conducted by Centre for AI, TKM College of Engineering, Kollam in 2022
• Selected as doctoral committee member of KTU research scholar in 2022.
• Chaired technical paper presentation competition organized by FIESTA, MCA Association, FISAT in 2022.
• Presented a paper titled “Pose Estimation of Yoga Poses using ML Techniques” in the IEEE Indicon 2022 conference organized by CUSAT.
• 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.
• 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
• M-tech 2nd rank holder in Software Engineering M-tech course in the year 2010.
• Best paper award for the paper titled ‘Relative Extraction Methodology for class diagram generation using dependency graph’ in the 2010 IEEE International conference on communication control and computing technologies.

• NBA criteria 9 college level convenor.
• NAAC criteria 7 metric coordinator.
• Department alumni representative.
• Department ISO coordinator.
• Department Technical magazine 2023 Chief Editor.
• PAC member.
• Publication charge for the International conference on advanced computing and communication technologies in Jan 2022.
• CSI department faculty member.
• Reviewer of International conference on advanced computing and communication technologies in Jan 2022.
• Reviewer of SPECON2024 organized by EEE department, FISAT
• Chair of technical paper presentation competition organized by FIESTA, MCA Association, FISAT in 2022.

CSI member

Areas of interest

Machine learning

Data mining

Artificial Intelligence

Data science

Operating Systems

Object Oriented Programming

System software

Research and publications

Research area: Deep learning

Research title: “Design and optimization of efficient classification models for sentiment analysis of product reviews”

Publications

Journals

• 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).

• 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. “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).
• 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).
• Hema Krishnan, M. Sudheep Elayidom and T. Santhanakrishnan, “Dual sentiment analysis using Convolutional Neural Network”, Journal of Advanced Research in Dynamical and Research Control Systems. Vol 10, Issue 15, 2018. (Scopus Indexed) 
• 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.
• Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “Emotion detection of tweets using naive bayes classifier.”, International Journal of Engineering Technology Science and Research, Volume 4, Issue 11, November 2017.
• Mathew, Daya Mary, and Hema Krishnan. “Polarity Shift Handling Techniques: A Survey.” IJCA. Vol. 158. No. 6. 2017.
• Krishnan, Hema, M. Sudheep Elayidom, and T. Santhanakrishnan. “MongoDB–a comparison with NoSQL databases.” International Journal of Scientific and Engineering Research, (2016): 1035-1037.
• 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.
• Krishnan, Hema, and Philip Samuel. “Class Model Generation using Two-Level Grammar.” International Journal of Computer Science and Information Technology: 227, 2015.

Conferences

• Hema Krishnan, Joseph Gladwin, Navneeth M Nambiar, Samanuai A, Vyshakh Madhu T, “An intelligent interactive chatbot for handling academic queries” in 2023 International Conference on Computational Intelligence, Networks and Security (ICCINS) (to be published in IEEE Xplore).
• 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).
• 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).
• 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 (scopus indexed).
• Hema Krishnan, M. Sudheep Elayidom and T. Santhanakrishnan, “Emotion detection of tweets using Naïve Bayes Classifier”, International Conference on Advancement in Engineering, Applied Science and Management, 26th November 2017, pp 457-462. 
• Hema Krishnan, M. Sudheep Elayidom and T. Santhanakrishnan, “Impact and Application of Sentiment Analysis using Twitter: A survey”, International Conference on Recent Trends in Computing and Communication (ICRTCC), Cochin college of Engineering, Valanchery , 16th June 2015, pp 18-21

• • One Week Online Short-Term Course on “Machine Learning and its Applications in IoT, Computer Vision and Cloud Computing (MICC-2023)” from July 10-14 2023 organised by the Department of Computer Science and Engineering, National Institute of Technology Jamshedpur.
  • Three-day FDP on “Virtual Reality” conducted by Department of Computer Science, FISAT from 27th to 29th July, 2023
  • FDP on “Advances in Big data research” organized by CUSAT from August 29- 31, 2022.
  • FDP on “Web application development and deployment in cloud” organized by FISAT from 29th August to 2nd September 2022.
  • FDP on “Artificial Intelligence and its Global Applications” organized by Kerala University from 15th to 20th March, 2021.
  • FDP on “High Performance Computing and Deep learning for image, text analysis” organized by Mar Baselios College of Engineering and Technology from 22nd to 27th February 2021.
  • FDP on Data analytics organized by College of Engineering, Kidangoor from 15th  Feb to 19th Feb 2021.

• FDP on Cues for Quality Research Publications in Computer Science organized by the Department of CSE, SOE, CUSAT from 26-02-2021 to 27.02.2021.

• FDP on Research frontiers in Computer Science organized by Christ College of Engineering, Irinjalakuda from 1.07.2021 to 3.07.2021.
• FDP on Blockchain technology and Cybersecurity organized by the College of Engineering, Vadakara from 16.07.2021 to 20.07.2021.
• FDP on Emerging trends in computer science- an industrial approach by SRM Institute, Chennai from 24-06- 2020 to 28-06-2020.
• FDP on Latest trends and challenges in IT industry by R.M.D Engineering College, Chennai from 15.06.2020 to 20.06.2020.
• FDP on Machine learning Research and Opportunities by Sapthagiri College of Engineering, Bangalore from 15.06.2020 to 19.06.2020.
• FDP on Recent Trends and Applications of Machine Learning and Deep Learning in IT  by RAIT, Navi, Mumbai from  25.05.2020 to 29.05.2020.
• Hands on FDP: Data science using Python by Jeppiar Institute of Technology, Kunnam from 18.05.2020 to 22.05.2020.
• FDP on Data Science using Python and R programming by D.K.M college for women, Vellore from 6.05.2020 to 9.05.2020.
• STTP on machine learning tools & techniques by Division of Computer Engineering, SOE, from Aug 29th –Sep 2nd 2016.
• FDP on cloud foundry TCS, Kochi on Feb 16th 2016.
• Staff training programme on Machine Intelligence and Applications by CUSAT May 9-13, 2014.

• Multimodal-based and Aesthetic-guided Narrative Video Summarization.
• Interactive Chatbot for Handling Academic Queries
• Automated Fruit Grading System using Image Processing and Machine Learning approach.
• Intelligent Crop Recommendation System.
• Natural Disaster Detection Using Social Media.
• Pose Estimation of Yoga Poses using ML Techniques.
• Deep Learning for Identifying Online posts on Domestic Violence and Child Abuse.
• Disaster Crisis Identification from Twitter posts based on Deep Learning Models.
• Identifying the Flooded Area Using Deep Learning Model
• Machine Learning based Sentiment Analysis of Coronavirus Disease Related Twitter

• Machine learning
• Artificial Intelligence
• Operating Systems
• Data Mining and warehousing
• Distributed Computing
• Data Science
• Object oriented programming in C++
• Advanced database concepts
• System software
• Object oriented modelling and design

04842725237