Back close

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

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

Journal Article

Year : 2026

Brain Tumor Detection and Classification Using K-Means Segmentation Method

Cite this Research Publication : S. Anjana, S. Jacophine Susmi, P. M. Siva Raja, Brain Tumor Detection and Classification Using K-Means Segmentation Method, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2026, https://doi.org/10.1007/978-981-96-8895-1_16

Publisher : Springer Nature Singapore

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

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

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.

Patent 

  • Sasikala, T, S., Archana, V., Anjana, S., IOT, Big Data Science and analytics, Cloud computing, Mobile App based hybrid model for healthcare management system. Patent No. 202341032585. Filed on 29/07/2022 & Published on 12/08/2022.
  • PonBharathi, A., Anjana, S., Sensor Fusion Techniques For Enhanced Data Accuracy In IOT Networks. Patent No. 202341059252 A. Filed on 04/09/2023 & Published on 06/10/2023.
  • PonBharathi, A., Anjana, S., AI-Integrated Smart Learning Device for Customized Lesson Planning and Dynamic Content Delivery in Education. Patent No. 202441076400 A. Filed on 09/10/2024 & Published on 18/10/2024.
FDP / Workshops
  • Attended a Faculty Development Program on “Research Opportunities in Computer Science”, organized by Amrita Vishwa Vidyapeetham, Amritapuri Campus, on 19.10.2024.
  •  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.
  • 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.
  • 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.
  • 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.
  • Attended a five-day Faculty Development Program on “Artificial Intelligence”, organized by Microsoft India & SAP India, from 24.01.2022 to 29.01.2022.
  • Six days FDP on Exploratory Data Analytics (EDA) tools and Techniques at Vellammal College of Engineering and Technology from Nov. 24th to Nov. 29th 2025.
  • Participated in the AI Safety Conclave 2025: Safe AI for the Global South – Safe, Trusted, and Human-Centric AI Innovation for Inclusive Development, an official Pre-Summit event of India AI Impact summit 2026, held on December 13, 2025, at Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala, India.
Membership
  • Association for Computing Machinery (ACM) – 5430955

Certification

  • Attended and completed Wipro Certified program on “Java Full Stack” conducted by TalentNext from 25th August, 2025 to 12th September, 2025. 
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