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K. Rejini

Assistant Professor, School of Computing, Amrita Vishwa Vidyapeetham, Nagercoil

Qualification: M.E.
k_rejini@nc.amrita.edu.in
Orcid Profile
Google Scholar Profile
Scopus Author ID
Research Interest: Medical Image Processing, Computer Vision

Bio Publications Membership FDP/Workshops Awards Patent
Bio

Mrs. K. Rejini is currently Assistant Professor on Contract at School of Computing, Amrita Vishwa Vidyapeetham, Nagercoil Campus. She has 16 years of teaching and research experience. Her areas of interest include Medical Image Processing, Computer Vision, Machine learning and deep learning. She has published research papers in reputed journals and conference proceedings. She is a member of ISTE. She has guided many UG projects and PG thesis.

Publications

Journal Article

Year : 2026

Sensitivity-enhanced machine learning–assisted terahertz Plasmonic biosensor using hybrid 2D materials for tuberculosis detection

Cite this Research Publication : K. Rejini, Humaira Nishat, P. Manikandan, P. Ashok, William Ochen, Sensitivity-enhanced machine learning–assisted terahertz Plasmonic biosensor using hybrid 2D materials for tuberculosis detection, Sensing and Bio-Sensing Research, Elsevier BV, 2026, https://doi.org/10.1016/j.sbsr.2026.100964

Publisher : Elsevier BV

Year : 2025

Application of Transformer-Based Deep Learning Models for Predicting the Suitability of Water for Agricultural Purposes

Cite this Research Publication : K. Rejini, J. Visumathi, C. Heltin Genitha, Application of Transformer-Based Deep Learning Models for Predicting the Suitability of Water for Agricultural Purposes, Water, MDPI AG, 2025, https://doi.org/10.3390/w17091347

Publisher : MDPI AG

Year : 2025

Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks

Cite this Research Publication : S. Anjana, P.M. Siva Raja, K. Rejini, Moses Garuba, A. Ananth, Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks, Biomedical Signal Processing and Control, Elsevier BV, 2025, https://doi.org/10.1016/j.bspc.2025.107838

Publisher : Elsevier BV

Year : 2024

Leveraging Deep Learning for Accurate Diagnosis of Breast Cancer

Cite this Research Publication : Thanammal Indu V, Gokul Dev M, K Rejini. “Leveraging Deep Learning for Accurate Diagnosis of Breast Cancer”, African Journal of Biological Sciences, 6(14), pp. 728-739, 2024.

Year : 2020

An Optimized Method For Segmentation And Classification Of Apple Diseases Based On Convolutional Neural Network

Cite this Research Publication : R.Nithya, N.Reethu,K.Rejini,"An Optimized Method For Segmentation And Classification Of Apple Diseases Based On Convolutional Neural Network", International Journal of Advance Research and Innovative Ideas in Education, Vol. 6, No. 2, 2020, pp. 1307-1315, ISSN: 2395-4396

Year : 2020

GUI based prediction of diabetic stages accurately using machine learning approach

Cite this Research Publication : S. Devika, V. Gopikamani, S. Mahima, k. Rejini, "GUI based prediction of diabetic stages accurately using machine learning approach",  International journal of advanced research and innovative ideas in education, Vol. 6, No. 2, 2020, pp. 787-796, ISSN: 2395-4396.

Year : 2018

Monitoring of Hydro Endowment and its Level and Motor Calefact

Cite this Research Publication : T.Sukanya, S.Swathi, M.Umamaheswari,K.Rejini, "Monitoring of Hydro Endowment and its Level and Motor Calefact," SSRG International Journal of Computer Science and Engineering , vol. 5,no. 3,pp.4-7 ,2018.

Conference Proceedings

Year : 2025

Multimodal Integration Techniques for Brain Cancer Detection using CT and MRI scan images

Cite this Research Publication : Rejini K, Sumithra R P, Vidhya S, Siva Raja P M, Ramanan K, Multimodal Integration Techniques for Brain Cancer Detection using CT and MRI scan images, Proceedings of the 2025 17th International Conference on Computer Modeling and Simulation, ACM, 2025, https://doi.org/10.1145/3761668.3761681

Publisher : ACM

Year : 2025

Optimized Deep Learning Model for Water Quality Prediction

Cite this Research Publication : Rejini K, Visumathi J, Heltin Genitha C, Suthanthira Devi P, Optimized Deep Learning Model for Water Quality Prediction, 2025 International Conference on Data Science and Business Systems (ICDSBS), IEEE, 2025, https://doi.org/10.1109/icdsbs63635.2025.11031661

Publisher : IEEE

Year : 2024

Leveraging Deep Learning Models for Machine-Generated Text Detection Using Transformer-Based Models

Cite this Research Publication : P. Suthanthiradevi, G Revathy, K. Rejini, Muthu Lakshmi.V, Leveraging Deep Learning Models for Machine-Generated Text Detection Using Transformer-Based Models, 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), IEEE, 2024, https://doi.org/10.1109/icses63760.2024.10910837

Publisher : IEEE

Year : 2024

Advances in Multimodal Fusion of EHR and Medical Imaging Data Using deep learning techniques for advanced treatment of brain cancer

Cite this Research Publication : Siva Raja P M, Vidhya S, Sumithra R P, Anjana S, Rejini K, Ramanan K, Advances in Multimodal Fusion of EHR and Medical Imaging Data Using deep learning techniques for advanced treatment of brain cancer, Proceedings of the 2024 8th International Conference on Algorithms, Computing and Systems, ACM, 2024, https://doi.org/10.1145/3708597.3708613

Publisher : ACM

Membership
  • Indian Society Technical Education
  • Association for Computing Machinery (ACM)
FDP/Workshops
  • Attended five days Online Workshop on “Deep Learning in Medical Imaging: Preprocessing, Segmentation and Optimization” organized by School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati from 16.06.2025 to 20.06.2025.
  • Attended Six days Faculty Development Program on “Supercomputing (High-Performance Computing, AI, Quantum Computing)” organized by AICTE Training And Learning (ATAL) Academy, Amrita Vishwa Vidyapeetham from 17.02.2025 to 22.02.2025.
  • Attended five days Online Winter Course on “Skill Development Program on Research and Publications” organized by Indian Institute of Technology, Dharwad, Karnataka from 16.12.2024 to 20.12.2024.
  • Attended five days National Level Workshop on “Artificial Intelligence and Machine Learning Techniques for Biomedical Research” sponsored by the Department of Health Research (DHR), Indian Council of Medical Research (ICMR), New Delhi organized by Amrita College of Engineering and Technology, Nagercoil, from 22.5.2023 to 26.5.2023
  • Attended five days Faculty Development Program on “Data Science using Machine Learning” organized by Pravara Rural Engineering College in Collaboration with ExceIR, Maharashtra from 02.01.2023 to 06.01.2023.
  • Attended six days Faculty Development Program on “CS8082 – Machine learning techniques” organized by Department of CSE, Anna University Regional Campus , Tirunelvel from 04.07.2022 to 09.07.2022.
  • Attended six days Faculty Development Program on “Recent trends in 5G communicatio” organized by Department of CSE, Sri Sai Ram Engineering College, Chennai from 26.12.2022 to 30.12.2022.
  • Attended six days Faculty Development Program on “Designing and Modeling of IoT , AI and ML systems” organized by AICTE, Atal Academy , Arm Education and STMicroelectronics from 01.08.2022 to 05.08.2022.
  • Attended six days Faculty Development Program on “Machine Learning ” organized by Department of Information Technology, SIT, Lonavala, Pune from 01.08.2022 to 05.08.2022.
  • Attended six days Online Workshop on “Exploratory Data Analytics (EDA)-Tools and Techniques” organized by AICTE Training and Learning (ATAL) Academy, Velammal College of Engineering & Technology, Madurai from 24.11.2025 to 29.11.2025.
  • Completed a 15-day online training on ‘Project-Based Learning Framework in Java Full Stack,’ organized by Wipro TalentNext (25.08.2025–12.09.2025), successfully cleared the assessment test, and was recognized as a mentor for Project-Based Learning in Java Full Stack
Awards

Anna University 17th Rank in M.E.

Patent
  • Granted a Patent with the title “AI Based Device to Identify Functioning of Blood Circulation” (Application No. : 417479001 Filed Date:20.05.2024.
  • Granted a Patent with the title “AI Based Plant Extract Analysing Device to Identify Diseased Plants” (Design number: 6398480 ,Grant date: 28 October 2024 )
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