Name: Dr. K. Nandhini Designation: Assistant Professor Phone: 04366-277230 Email:nandhinikumaresh@cutn.ac.in
Biographic Sketch:
Dr. K. Nandhini is working as Assistant Professor in the Department of Computer Science, School of Mathematics and Computer Sciences, Central University of Tamil Nadu (by an Act of Parliament) Thiruvarur, India. She has completed her Ph.D. in Computer Science at the Department of Computer Applications of National Institute of Technology, Trichy under the guidance of Dr. S.R.Balasundaram in Sep’2014. She finished her M. Tech. Advanced Computing in SASTRA University 2002, First Class with Distinction. She completed B.E Computer Science under Bharathidasan University during 1993-1997. Before joining CUTN, she worked as contract faculty in NIT, Trichy for 3 tenures (11 months each). She has 15 years of work experience which includes academic teaching and research. She has published 30 research articles in peer reviewed Journals and renowned Conferences. Her current area of research is focused on Text analytics. She has created ICT based Lab manual for DBMS lab and created Native language Assistive tutorial for Networks course. She also received Best Lecturer Award from AEC for the academic year 2000-2001 and 2003-2004
Research Highlights :
Current research focuses on Depression detection, Automatic Question answer generation and Abusive language detection in codemixed text
Recent Publications :
Revanth Reddy Pingala, Nandhini K "Effect of Emojis in Classifying Telugu Code Mixed Movie Reviews". in 3rd International Conference on “Mathematical Modeling & Computational Science-ICMMCS’23”, during 24th Feb 2023 at Mother Teresa Women’s University, Madurai.
Anisha T, Nandhini K and Munawar K V “Sentiment Analysis in code mixed Tamil movie reviews Naive Bayes and Decision Tree “in The Role of Computational Intelligence in Emerging Research Innovations at Annamalai University during 10th March 2023. (Received BEST Paper award)
Nivedhita, Nandhini K “Sentimental analysis using NLP for Dravidian Languages “in 8th National Conference NCICT’23, *REBOrN at Dr. M.G.R. Educational and Research Institute, Chennai during 4/4/2023.
Pratham Yadhav, Nandhini K “Automatic Pneumonia Detection using Deep Learning Technique” in National Conference on Emerging Trends in Computer Science and Technology at Swami Dyananda Saraswathi college, Tiruvarur during 20th – 21st April 2023.
Senthilkumar P and Nandhini K, “Distractor Generation for Multiple choice Questions using Hybrid Approaches” in National Conference on Emerging Trends in Computer Science and Technology at Swami Dyananda Saraswathi college, Tiruvarur during 20th – 21st April 2023.
Senthilkumar P and Nandhini K. Comprehensive Analysis of Automatic Question Generation and Bloom's Taxonomy - Mapping Techniques, International Conference on Recent Trends in Computer Sciences - RTCS 2023, pp.11, March 2023. ISBN : 978-81-955309-5-3.
Senthilkumar P and Nandhini K. Automatic Question Generation using Centrality-based Keyword Extraction Approach for Tamil Text, Tamil Internet Conference 2022, Vol 21, pp. 63–70, December 2022. ISSN: 2313-4887.
Senthilkumar P and Nandhini K. Comprehensive Analysis of Automatic Question Generation and Bloom's Taxonomy - Mapping Techniques, International Conference on Recent Trends in Computer Sciences - RTCS 2023, pp.11, March 2023. ISBN : 978-81-955309-5-3.
Janardhan, N., & Nandhini, K., Predictive Modeling of Depression Disorder with Acoustic Characteristics of Speech Using Machine Learning Models at International Conference on Emerging Technologies (ICET-2022), Sept 16-17, 2022, Organized by Royal College of Engineering and Technology, Kerala. (Received BEST paper award)
Janardhan, N., & Nandhini, K., Major Depressive Disorder Prediction in Adolescent Students’ Community Based on Their Speech Recordings Using Machine Learning Techniques. International Conference on Emerging Technologies (ICET-2022), Sept 16-17,2022, Organized by Royal College of Engineering and Technology, Kerala.
Deekshitha & K.Nandhini, Legal Document Summarization using Hybrid Model, Book chapter in Natural Language Processing and Information Retrieval Principles and Applications Edited By Muskan Garg, Sandeep Kumar, (Accepted) 9781003244332 CRC Press (NLPIR2021)
Janardhan, N & Nandhini, K. (2022). Major depressive disorder detection in polytechnic college students: A minimal acoustic-features-based solution with reading and free form-speech recording tasks. International Journal of Health Sciences, 6(S1). https://doi.org/10.53730/ijhs.v6nS1.6596 (Scopus) •
Janardhan, N., Nandhini, K. (2022). Improving depression prediction accuracy using fisher score-based feature selection and dynamic ensemble selection approach based on acoustic features of speech. Traitement du Signal, Vol. 39, No. 1, pp. 87-107. https://doi.org/10.18280/ts.390109 (SCI-E) •
Janardhan, N., & Nandhini, K. (2022). Enhancing the Early Prediction of Depression among the Adolescent Students Using Dynamic Ensemble Selection of Classifiers Approach Based on Speech Recordings, International Journal of Early Childhood Special Education (INT-JECSE), Vol. 14, Spl. Issue 02, PP. 1–21, https://doi.org/10.9756/INT-JECSE/V14S2.1 (Scopus & Web of Science)
