Associate Professor
Area of Specialization:
- Machine Learning
- E-Learning
- Deep Learning
Research Interests:
- Deep Learning
- Machine Learning
Selected Publications:
- Vanitha V, Krishnan P (2019). A modified ant colony algorithm for personalized learning path construction. Journal of Intelligent & Fuzzy Systems. 2019 Jan 1(Preprint):1-6. (SCI-Indexed)
- Elakkiya R, Vanitha V(2019). Interactive real time fuzzy class level gesture similarity measure based sign language recognition using artificial neural networks. Journal of Intelligent & Fuzzy Systems. 2019 Jan 1(Preprint):1-0. ((SCI-Indexed)
- Vanitha V, Krishnan P, Elakkiya R(2019). Collaborative optimization algorithm for learning path construction in E-learning. Computers & Electrical Engineering. 2019 Jul 1;77:325-38. (SCI-Indexed)
- Tariku Birhanu Wudneh and V.Vanitha (2019) Implementation of IoT With Image Processing in Greenhouse Monitoring System, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-9, July 2019 (SCOPUS)
- V. Vanitha (2019). Rice Disease Detection Using Deep Learning International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7, Issue-5S3, February 2019. (SCOPUS)
Journal Publications:
- Vanitha, Sumeet Raja Swain, Srijit Chakrabarty, Vishal Chaubey (2019), Evaluation of Trends on Social Media , Journal of Advanced Research in Dynamical & Control Systems, Vol. 11, 07-Special Issue, 2019 (SCOPUS)
- Vanitha, V & Krishnan (2018), Learning Path Construction Based On Ant Colony Optimisation and Genetic Algorithm, International Conference on Computational Vision and Bio Inspired Computing(ICCVBIC 2018), Lecture Notes in Computational Science and Engineering. Series Editors: Barth, T.J., Griebel, M., Keyes, D.E., Nieminen, R.M., Roose, D., Schlick, T. ISSN: 1439-7358 https://www.springer.com/series/3527. (SCOPUS)
- Vanitha, V & Krishnan (2017), Time-frequency analysis of EEG for improved classification of emotion, International Journal of Biomedical Engineering and Technology, 23(2- 4), pp.191-212, ISSN: 1752-6218. (SCOPUS)
- Vanitha, V & Krishnan (2016), An Integrated Framework to Enhance Performance of online Students, Asian Journal of Research in Social Sciences and Humanities, 6(11), pp. 839- 855, ISSN, 2250-1665.
- Vanitha, V & Krishnan(2016), Real time stress detection system based on EEG signals, Biomedical Research, ISSN: 0970-938X (Print), 0976-1683 (Electronic). (SCOPUS)
National & International Conference:
- Vanitha, V & Santhi (2014), Recommender System based on Association Rule Mining, RMD Engineering College, Chennai
- Vanitha, V & Santhi (2014), A Hybrid Recommender System , NPR Engineering College, Madurai
- Vanitha, V & Santhi (2014), A Hybrid Recommender System using Collaborative Filtering, EASA College of Engineering, Coimbatore
- Vanitha, V & Santhi (2014), A Hybrid Recommender System for E-learning Application, SIMCA, Pune
Working Papers:
- Detection of Cognitive ability from EEG
- Automatic stress detection using Deep network
Work in Progress:
- Automatic stress detection using Deep network
Academic Experience:
- Working as Associate Professor in CSE Department, Saveetha Engineering College from July 2020 till date.
- Worked as Assistant Professor in CSE Department in Sri Ramachandra Engineering and Technology.
- Worked as Assistant Professor in CSE Department in Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology
- Worked as Lecturer in school of computing in Teesside University, UK
