NEWS

Dr. S. Kavitha, Associate Professor in the Department of Computer Science and Engineering has 23 years of teaching and research experience. She received her Ph.D. in Computer Science (2016) from Anna University, Chennai, M.E. in CSE (2006) from Anna University with first class and distinction and B.E. in CSE (1997) from Madras University with first class. In her research she worked on “Classification and Understanding of Multimodality Brain Images using Machine Learning Techniques”. She guided projects in various domains includes: Bio-Informatics, Data Mining, Artificial Intelligence, Machine Learning and Image Analysis in Digital and Medical Images for Under Graduate and Post Graduate students. She successfully completed many projects along with students of higher classes and first year students, which are funded by SSN Institutions. At present, Four Research Scholars are doing Ph.D.  under her guidance in “Federated Learning with XAI, Visual Question Answering, Remote Sensing Image analysis and EEG Signal Analysis, Compound Emotion detection and Classification” etc.

She has authored several books including Theory of Computation, Design and Analysis of Algorithms, Data Structures and Artificial Intelligence. She has taken classes for the trainees at IGCAR on “Artificial Intelligence” during the period April 2008 and May 2009. She has given guest lectures on “Theory of Computation”, “Design and Analysis of Algorithms”, “Artificial Intelligence” and “Medical Image Classification Techniques” etc.. She has received “Best Teacher Award” from SSN College of Engineering for the period 2006 – 2007, 2008 – 2009, 2010 – 2011 & 2011 – 2012. In addition, she received a Massively Empowered Classroom (MEC) Faculty Champion award in August 2014 for Design and Analysis of Algorithms course, initiated by Microsoft Research. She has published about 50 research publications in international journals and in proceedings of international conferences.

Areas of Research:

Image analysis (Digital, Medical, Remote Sensing images), EEG data analysis, Machine Learning, Data Science

Selected Publications in Journal:

1. Kavitha, G. Raghuraman, A. Kavithasri, S. Aishvarya, B. Janani, “Learning behaviour analysis of online course learners using EEG and facial expression data”, Measurement: Sensors, Published online: 10^th January 2023, ISSN 2665-9174, https://doi.org/10.1016/j.measen.2023.100669, Scopus indexed, Cite Score: 0.1
2. Noor Mohamed, Sheerin Sitara and Srinivasan, Kavitha. “A Comprehensive Interpretation for Medical VQA: Datasets, Techniques, and Challenges”, Journal of Intelligent & Fuzzy Systems, Published online: 5^th 2023, pp: 1 – 17, 2022, Impact Factor: 1.737, DOI: 10.3233/JIFS-222569, WoS indexed
3. Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “Improvisation of Dataset Efficiency in Visual Question Answering Domain”, Statistics and Applications Journal, 20 (2), Dec 2022, pp.279-289, ISSN 2454-7395(online), WoS indexed
4. Sheerin Sitara Noor Mohamed and Kavitha Srinivasan, “A Hybrid Image Enhancement Algorithm for Effective Concrete Surface Crack Classification“, Journal of University of Shanghai for Science and Technology, ISSN: 1007-6735, Volume 23, Issue 9, September – 2021, pp. 1282-1297, cite score: 0.2, SJR: 0.108
5. Kavitha Srinivasan, Mohanavalli Subramaniam and Bharathi Bhagavathsingh, “Optimized bilevel classifier for brain tumor type and grade discrimination using evolutionary fuzzy computing“, in Turkish Journal of Electrical Engineering & Computer Sciences, (2019) 27: 1704 – 1718, DOI:10.3906/elk-1804-13. IF:0.882
6. Sheerin Sitara N, Kavitha. S. and Raghuraman. G, “Review and Analysis of Crack Detection and Classification techniques based on Crack Types“, International Journal of Applied Engineering Research (IJAER), ISSN 0973-4562, Vol. 13(8), May 2018, pp. 6056-6062.
7. Kavitha, B. Bharathi, P. Sasikala, P. Chandralekha, V. Ashwini, “Modified dual channel PCNN algorithm with hybrid edge enhancement approach for multimodality brain image fusion“, International Journal of Biomedical Engineering and Technology (IJBET), Vol 28(2), 2018, pp:120-146, DOI:10.1504/IJBET.2017.10006801
8. Kavitha S and Thyagharajan K.K., “Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation”, Springer-Soft Computing Journal, 21(12), 2017, pp: 3307-3316. DOI 10.1007/s00500-015-2009-6,IF: 3.524.
9. S.Kavitha, B.Bharathi, K.MohanaPriya, S.MohanaPriya and V.C. NithusSushmy, “Optimal feature set selection for brain tumor classification using Genetic Algorithm with Support Vector Machine and Decision Tree”, Asian Journal of Research in Social Sciences and Humanities, 6(9), September 2016, pp: 660-670.

Patents:

S. Kavitha & Dr. Thyagharajan K.K, “Multimodality medical image fusion with optimal parameter estimation in disease diagnosis”, Status: Amended Examination Application Number: 2454/CHE/2015

Funded Projects (Completed/Ongoing Internally Funded Projects with UG students, funded by SSN Trust):

1.      Brain Visual State Classification System using fMRI data analysis

2.     Brain Tumor Type and Grade Discrimination of MRI using Genetic Algorithm and Fuzzy-Rule based Approach

3.     Bi-Modal Biometric System for Person Authentication using Soft computing Techniques

4.     Musical audio modulated solid state tesla coil

5.     Smart irrigation system

6.     Intelligent surveillance and data base management system

7.     Speech enabled interactive voice response system

8.     Self Balancing Robot Protocol

9.     IoT Based Pipeline Inspection Robot

10.  Virtual Smart Monitoring System for Students using Emotion Recognition

11.  Classification of diabetes and non-diabetes patients through plantar pressure measurement using Image analysis

Professional Bodies:

1. Life member of Computer Society of India (CSI) – Membership No: 00147092
2. Life member of ISTE – Membership No: LM5876
3. IEEE member – 97502113
4. ACM member – 0681325

Google Scholar:

https://scholar.google.co.in/citations?hl=en&user=kYN5d2kAAAAJ

LinkedIn:

https://www.linkedin.com/in/dr-kavitha-s-0778653a/

Scopus:

https://www.scopus.com/authid/detail.uri?authorId=35778316000