Faculty Profile

Dr. Hema Krishnan
Assistant Professor (Senior Grade)

Dr. Hema Krishnan received her Bachelor’s degree in Computer Science Engineering from School of Engineering CUSAT, in 2004. She obtained her Master’s degree in Software Engineering from Cochin University of Science & Technology in the year 2010 and Ph.D in Computer Science and Engineering from School of Engineering, CUSAT. She started her career as a lecturer in Department of Computer science, Model Engineering College Thrikkakara, during 2005 january to May. Since July 2005, she is working as Assistant Professor, senior grade in the Department of Computer Science and Engineering, Federal Institute of Science and Technology, Angamaly. She has published 14 research papers in various International Journals and International Conferences. Her specializations include Machine learning, Deep learning, Data mining, Data Science, Operating Systems, Object Oriented Programming, System software etc.

  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

Name of the Programme Institution Period Paper presented
FDP on software testing TCS 18th Dec 2013 Participated
Reference Management tool- Mendley workshop FISAT 27th Nov 2013 Participated
National workshop on HPC FISAT 16th Oct 2009 Participated
ISTE workshop on Networking FISAT June 30- uly 5th 2014 Participated
ISTE workshop on Cyber Security FISAT July 10th– July 20th 2014
International Conference on Convergence of Science & Engineering in Education & Research Dayananda sagar Institutions, Bangalore April 21-23, 2010 Rule based method for class extraction
2010 IEEE International Conference on Communication, control and computing technologies Syed Ammal Engineering college October 7-9 2010 Presented -Relative Extraction Methodology for Class Diagram Generation using Dependency graph 
Icefoss 2011 FISAT 26th -27th Aug 2011
National Conference on Computer Science and Information Technology Naipunnya Institute of Management &  Information Technology November 25-26 2010 Presented – Class Model generation using Two-level grammar
National Conference on Free Software CUSAT Nov 15-16 2008 Participated
International Confererence on Advanced Computing & Communication Technologies for High Performance Applications FISAT Sep 24-26 2008 Participated
National Workshop on High Performance Computing FISAT Oct 16 2009 Participated
National Seminar on Discrete and Fuzzy Mathematics and their applications in engineering & technology FISAT Feb 22-24 2007 Participated
Faculty Development Programme FISAT May 19-22 2008 Participated
ICE FOSS 11 FISAT Free software cell Aug 26-27 2011 Participated
2nd international conference on Advanced Computing & Communication Technologies for High Performance Applications FISAT Dec 7-10 2010 Participated
National Seminar on Advanced Networking Technologies and Security Issues FISAT Aug 8-10 2007 Participated
Internal Audit training programme Resource management services Sep 6-7 2007 Participated
3rd  international conference on Advanced Computing & Communication Technologies for High Performance Applications FISAT June 2013 Participated
4th   international conference on Advanced Computing & Communication Technologies for High Performance Applications FISAT June 19-21, 2014 Participated
Staff training programme on 

Machine Intelligence and Applications

CUSAT May 9-13, 2014 Participated
ICRTCC Cochin College, Valanchery June 15th 2015 Presented- Impact and Application of Sentiment Analysis using Twitter: A Survey
FDP on transactional analysis FISAT Jan 29th 2016 Participated
FDP on internet of things TCS, Kochi Feb 16th 2016 Participated
FDP on cloud foundry TCS, Kochi Feb 16th 2016 Participated
Cyber Forensic Workshop Nautilus, FISAT 8th -9th Apr 2016 Participated
STTP on machine learning tools & techniques Division of Computer Engineering, SOE,  Aug 29th – Sep 2nd 2016 Participated
Workshop on open source technologies Department of CSE, FISAT Dec 21-22 2016 Participated
FDP on machine learning Department of CSE, FISAT July 21-25 2017 Participated
 FDP on Data Mining and Warehousing Department of CSE, SNGIST, N. Paravur Jan 3-4 2019 Participated
Data Science using Python and R programming D.K.M college for women, Vellore 6.05.2020 to 9.05.2020 Participated
Hands on FDP: Data science using Python Jeppiar Institute of Technology, Kunnam 18.05.2020 to 22.05.2020 Participated
Recent Trends and Applications of Machine 

Learning and Deep Learning in IT

RAIT, Navi, Mumbai 25.05.2020 to 29.05.2020 Participated
Web Application Security Jeppiaar Institute of Technology, Kunnam 27.05.2020 to 28.05.2020 Participated
Wireless Communication Essentials Jeppiaar Institute of Technology, Kunnam 2.06.2020 Participated
R & D approach to industry 4.0 IES College of Engineering, Thrissur 3.06.2020 to 5.06.2020 Participated
Machine learning Research and Opportunities Sapthagiri College of Engineering, Bangalore 15.06.2020 to 19.06.2020 Participated
Article writing and journal publication Kings Engineering College, Chennai 17.06.2020 Participated
Latest trends and challenges in IT industry R.M.D Engineering College, Chennai 15.06.2020 to 20.06.2020 Participated
Emerging trends in computer science- an industrial approach SRM Insttute, Chennai 24-06-2020 to 28-06-2020 Participated
Tips and Tricks of Research publication, Patent filing 

and research grantt

Kings Engineering College, Chennai 10.06.2020 to 12.06.2020 Participated
Blockchain technology and Cybersecurity College of Engineering, Vadakara 16.03.2021 to 20.03.2021 Participated
Research frontiers in Computer Science Christ College of Engineering, Irinjalakuda 1.07.2021 to 3.03.2021 Participated
Cues for Quality Research Publications in Computer Science Department of CSE, SOE, CUSAT 26-02-2021 to 27.02.2021 Participated
Data analytics College of Engineering, Kidangoor 15.02.2021 to 19.02.2021 Participated
Artificial Intelligence and its Global Applications Kerala University 15.03.2021 to 20.03.2021 Participated
High Performance Computing and Deep learning for image, text analysis Mar Baselious College of Engineering and Technology 22.02.2021 to 27.02.2021 Participated
Web application development and deployment in cloud  FISAT 29.08.2022 to 02.09.2022 Participated
Advances in Big data research CUSAT 29.08.2022 to 31.08.2022 Participated

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