Dr. Tajunisha N, Sri Ramakrishna College of Arts & Science for Women, India
Dr. N. Tajunisha is a distinguished academician and researcher in Computer Science, currently serving as Professor and Head of the Department at Sri Ramakrishna College of Arts & Science for Women. With over 27 years of academic experience and 23 years of research expertise, she specializes in Data Mining, Machine Learning, Big Data Analytics, and Networks. She earned her Ph.D. from Mother Teresa Women’s University, Kodaikanal, and has been an influential figure in research and development. As a leader, she has held key positions such as Research Coordinator, IQAC Coordinator, and Institution Innovation Cell (IIC) President. Her contributions to academia include publishing research papers in prestigious journals, securing research funding, and mentoring Ph.D. scholars. Recognized with the Senior Educator and Scholar Award, she actively collaborates with institutions like IBM, Rently, and L&T EDUTECH. Her work continues to shape the future of Computer Science education and research.
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Suitability of Dr. N. Tajunisha for the Research for Best Faculty Award
Dr. N. Tajunisha is a distinguished academic leader with a strong record of excellence in teaching, research, and institutional development. With 27 years of academic experience and 23 years of research expertise, she has significantly contributed to the fields of Data Mining, Machine Learning, Big Data Analytics, and Networks. As a Professor and Head of the Department of Computer Science at Sri Ramakrishna College of Arts & Science for Women, she has played a crucial role in shaping the institution’s academic and research landscape.
Her research contributions are noteworthy, with 34 journal publications, 25 conference papers, and 9 SCOPUS-indexed papers, along with securing Rs. 3.17 lakhs from UGC for a Minor Research Project and Rs. 76 lakhs for a DST-FIST project. Dr. Tajunisha’s role as a Ph.D. guide, having successfully mentored three doctoral scholars and currently supervising five more, reflects her dedication to research mentorship. Her collaborations with IBM, Rently, L&T EDUTECH, Easy Design System, and VConnect highlight her industry engagement, while her participation in Doctoral Committees, Board of Studies (BOS), and Programme Advisory Committees showcases her leadership in academic governance.
🎓 Education
Dr. N. Tajunisha has an extensive educational background in Computer Science and Mathematics. She earned her Ph.D. in Computer Science from Mother Teresa Women’s University, Kodaikanal, in 2013, focusing on advanced research methodologies. Before that, she completed her M.Phil. in Computer Science from Bharathiar University, where she developed expertise in data analysis and computational techniques. Her academic journey began with a Master of Computer Applications (MCA) and a Bachelor’s degree in Mathematics from Madurai Kamaraj University, providing her with a strong mathematical foundation essential for algorithm development and computational problem-solving. Her diverse academic background has equipped her with critical analytical skills, enabling her to contribute significantly to the fields of Data Mining and Machine Learning. Her education and continuous professional development have played a crucial role in her ability to drive research innovations and mentor future scholars in Computer Science.
💼 Professional Experience
Dr. N. Tajunisha has over 27 years of academic experience and 23 years in research, significantly shaping Computer Science education. As the Professor & Head of the Department of Computer Science at Sri Ramakrishna College of Arts & Science for Women, she has spearheaded numerous academic and research initiatives. From 2013 to 2018, she served as the Research Coordinator, facilitating advanced research projects and securing substantial funding, including a Rs. 76 lakh DST-FIST grant. She has also played a pivotal role as the IQAC Coordinator (2018-2022), ensuring institutional excellence. Additionally, she has served as the Institution Innovation Cell (IIC) President, fostering entrepreneurship and innovation. Her industry collaborations with IBM, Rently, and L&T EDUTECH have enriched student learning experiences. She has contributed as a Board of Studies member in multiple colleges and played an active role in doctoral committees and inspection commissions under Bharathiar University.
🏅 Awards and Recognition
Dr. N. Tajunisha’s contributions to academia have been widely recognized through numerous awards and honors. She received the prestigious Senior Educator and Scholar Award from NFED in 2017 for her outstanding contributions to Computer Science education. She has also been honored with the Best Paper Award at the IEEE International Conference held at Satyabhama University in 2010. Her research excellence is reflected in her extensive publication record, including nine Scopus-indexed journal papers. Her leadership in institutional development led to Sri Ramakrishna College of Arts & Science for Women achieving an A+ grade in NAAC Cycle II under her tenure as IQAC Coordinator. Additionally, she has been an invited session chair at international conferences and serves as a reviewer for top-tier journals. Her commitment to fostering innovation and research has positioned her as a thought leader in Data Mining, Machine Learning, and Big Data Analytics.
Dr. N. Tajunisha’s research expertise spans Data Mining, Machine Learning, Big Data Analytics, and Networks. She has successfully guided three Ph.D. scholars and is currently mentoring five more, contributing to advancements in computational intelligence and predictive analytics. Her research has secured substantial funding, including a Rs. 3.17 lakh UGC Minor Research Project and Rs. 76 lakh for a DST-FIST project. With 34 journal papers, 25 conference papers, and two books to her credit, she has made significant contributions to her field. She actively collaborates with industry leaders like IBM, Rently, and L&T EDUTECH, ensuring practical applications of her research. Her ability to integrate academic knowledge with real-world solutions makes her a leading researcher in her domain. She has also been a reviewer for international journals and a committee member in doctoral research evaluations, further enhancing her impact in the field.
Publication Top Notes
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Performance analysis of k-means with different initialization methods for high-dimensional data
Author(s): VSN Tajunisha
Journal: International Journal of Artificial Intelligence and Applications
Citations: 35
Year: 2010
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An efficient method to improve the clustering performance for high dimensional data by principal component analysis and modified K-means
Author(s): N Tajunisha, V Saravanan
Journal: International Journal of Database Management Systems
Citations: 20
Year: 2011
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An increased performance of clustering high dimensional data using Principal Component Analysis
Author(s): N Tajunisha, V Saravanan
Conference: 2010 First International Conference on Integrated Intelligent Computing
Citations: 19
Year: 2010
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A study on evolution of data analytics to big data analytics and its research scope
Author(s): S Sruthika, N Tajunisha
Conference: 2015 International Conference on Innovations in Information, Embedded and …
Citations: 14
Year: 2015
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Predicting Student Performance Using MapReduce
Author(s): N Tajunisha, M Anjali
Journal: International Journal of Emerging and Computer Science
Citations: 14
Year: 2015
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A new approach to improve the clustering accuracy using informative genes for unsupervised microarray data sets
Author(s): N Tajunisha, V Saravanan
Journal: International Journal of Advanced Science and Technology
Citations: 10
Year: 2011
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Automatic classification of ovarian cancer types from CT images using deep semi-supervised generative learning and convolutional neural network
Author(s): N Nagarajan, P.H. Tajunisha
Journal: Revue d’Intelligence Artificielle
Citations: 9
Year: 2021
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Classification of cancer datasets using artificial bee colony and deep feed-forward neural networks
Author(s): M Karunyalakshmi, N Tajunisha
Journal: International Journal of Advanced Research in Computer and Communication …
Citations: 8
Year: 2017
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Concept and Term-Based Similarity Measure for Text Classification and Clustering
Author(s): B Sindhiya, N Tajunisha
Journal: IJERST
Citations: 7
Year: 2014
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Optimal Parameter Selection-Based Deep Semi-Supervised Generative Learning and CNN for Ovarian Cancer Classification
Author(s): PH Nagarajan, N Tajunisha
Journal: ICTACT Journal on Soft Computing
Citations: 5
Year: 2023