Back close
Admissions

Anjana S

Assistant Professor, Departmeent of Artificial Intelligence and Data Science , School of Computing, Nagercoil

Qualification: M.E.
S_anjana@nc.amrita.edu
Orcid Profile
Scopus Author ID
Research Interest: Medical Image Processing, Deep learning, Optimization techniques

Bio Publications Research Grants FDP / Workshops Membership Conferences Attended
Bio

Anjana S. holds a Master’s degree and a Bachelor’s degree in Computer Science and Engineering from Government College of Engineering, Tirunelveli. She is currently pursuing her Ph.D. at Anna University, focusing her research in medical image processing
She has over 5 years of teaching experience in the field of computer science. Her research interests include Deep learning, Explainable AI, and Optimization techniques.

She has published research papers in reputed journals and conference proceedings. She is an active member of the Association for Computing Machinery (ACM).

Publications

Conference Proceedings

Year : 2025

Performance Measure of Deep Learning for Brian Tumor Image Analysis Using Domain Information

Cite this Research Publication : S. Anjana, S.Jacophine Susmi, P M Siva Raja, Performance Measure of Deep Learning for Brian Tumor Image Analysis Using Domain Information, 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), IEEE, 2025, https://doi.org/10.1109/icmlas64557.2025.10968412

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

Year : 2024

Utilizing deep learning algorithms for fruit ripening stage classification

Cite this Research Publication : Pon Bharathi Asai Thambi, Lakshmi Ramalingam, Anjana Suresh, Renswick Sebastian, Utilizing deep learning algorithms for fruit ripening stage classification, AIP Conference Proceedings, AIP Publishing, 2024, https://doi.org/10.1063/5.0211339

Publisher : AIP Publishing

Year : 2022

Cluster Head Selection using the OA-PU Algorithm in the IoT

Cite this Research Publication : Pon Bharathi A, Rajeesh Kumar N V, Anjana S, Vedha Vinodha D, Allan J Wilson, Cluster Head Selection using the OA-PU Algorithm in the IoT, 2022 Smart Technologies, Communication and Robotics (STCR), IEEE, 2022, https://doi.org/10.1109/stcr55312.2022.10009355

Publisher : IEEE

Journal Article

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 : 2022

Improved RAL routing protocol to identify duplicate packets in QoS

Cite this Research Publication : T.S. Sasikala, Ranjeet Yadav, Anjana S, Chanda Raj Kumar, SK. Fakruddin Babavali, Dharmbir Singh, Improved RAL routing protocol to identify duplicate packets in QoS, Measurement: Sensors, Elsevier BV, 2022, https://doi.org/10.1016/j.measen.2022.100489

Publisher : Elsevier BV

Research Grants

Received grant from TNSCST for the proposal submitted to Students’ Project Scheme title “A Farmer-Centric platform for personalized pesticide recommendations and enhanced crop management” during 2024-25.

FDP / Workshops
  1. Attended a Faculty Development Program on “Research Opportunities in Computer Science”, organized by Amrita Vishwa Vidyapeetham, Amritapuri Campus, on 19.10.2024.
  2. 2. Attended a five-day Faculty Development Program on “Machine Learning”, organized by the Department of Information Technology, SIT, Lonavala, Pune, from 07.12.2022 to 11.12.2022.
  3. Attended a Faculty Development Program on “Unleashing Emerging Research Trends and Advancements in Computer Science”, organized by the School of Computer Science and Engineering, VIT-AP University, Amaravati, on 04.07.2022.
  4. Attended a five-day webinar series on “Futuristic Digital Technologies”, organized by the International Institute of Artificial Intelligence and Machine Learning, Chennai, from 25.07.2022 to 29.07.2022.
  5. Attended a five-day Faculty Development Program on “Designing and Modelling of IoT, AI and ML Systems”, organized by AICTE, ATAL Academy, Arm Education, and STMicroelectronics, from 01.08.2022 to 05.08.2022.
  6. Attended a five-day Faculty Development Program on “Artificial Intelligence”, organized by Microsoft India & SAP India, from 24.01.2022 to 29.01.2022.
Membership

Association for Computing Machinery (ACM) – 5430955

Conferences Attended
  1. Rejini,K., & Anjana, S.Classification of Engineering Alloys Using a Deep Auto Encoder and Softmax Regression.Presented at the International Conference on Emerging Trends in Electronics, Electrical and Computer Technology (ICE4CT) on 28–29 December 2022, organized by the University of Malaysia, Kuala Lumpur, Malaysia.
  2. Anjana, S.Brain Tumor Detection and Classification Using K-Means Segmentation Method. Presented at the 9th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2025) on 05 April 2025, organized by the Department of Information Technology, Gujarat Technological University, Gujarat, India.
Admissions Apply Now