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Dr. Tintu Vijayan

Assistant Professor, Department of Computer Science and Engineering, School of Computing, Amritapuri

Qualification: Ph.D
tintuv@am.amrita.edu
Orcid Profile
Google Scholar Profile
Scopus Author ID
Research Interest: Bioinformatics, Machine Learning and Deep Learning, Drug Repurposing, Computational Drug Discovery, Artificial Intelligence for Drug Discovery, Biomedical Knowledge Graphs

Bio Publications FDP / Workshops Membership Conferences Attended
Bio

Dr. Tintu Vijayan is currently an Assistant Professor in the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Amritapuri Campus. She received her Ph.D. in Computer Science and Engineering from Presidency University, Bengaluru, M.E. in Computer Science and Engineering from Anna University, and B.Tech. in Information Technology from the University of Kerala.

Her research focuses on Artificial Intelligence for Computational Drug Discovery, with particular emphasis on drug repurposing, drug-target interaction prediction, drug-target binding affinity prediction, drug-disease association prediction, graph neural networks, biomedical knowledge graphs, and explainable artificial intelligence. Her work aims to develop intelligent computational frameworks that accelerate therapeutic discovery through data-driven analysis of complex biomedical relationships. She has published peer-reviewed research articles in Q1 Scopus-indexed journals and reputed international journals and conferences, including Springer and IEEE publications. Her research contributions include graph attention-based learning, graph representation learning, and deep learning approaches for computational drug discovery and biomedical informatics. She is also a co-inventor of multiple Indian patent applications in healthcare and intelligent systems.

Publications

Conference Proceedings

Year : 2025

Comparative Analysis of CNN and Transformer-based Architectures for Brain Tumor Classification Using MRI Images

Cite this Research Publication : Vijayan, Tintu, et al. Comparative Analysis of CNN and Transformer-based Architectures for Brain Tumor Classification Using MRI Images., IJCACI 2025

Year : 2025

“EpiMap: A Comprehensive Framework for Real-Time Mapping and Prediction of Epidemic Spread”

Cite this Research Publication : B N Bhavana, Prarthana S P, Ullas Gowda M, Sanchit A, Tintu Vijayan, “EpiMap: A Comprehensive Framework for Real-Time Mapping and Prediction of Epidemic Spread”, 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), IEEE, 2025, https://doi.org/10.1109/iccams65118.2025.11234579

Publisher : IEEE

Year : 2024

MaldoNetB0 – Enhanced EfficientNetB0 for Disease Detection in Apple (Malus domestica) Using Optuna with Bayesian Optimization (TPE)

Cite this Research Publication : Vijayan Tintu, MaldoNetB0 – Enhanced EfficientNetB0 for Disease Detection in Apple (Malus domestica) Using Optuna with Bayesian Optimization (TPE), Proceedings of the 4th International Conference on Intelligent Systems & Sustainable Computing (ICISSC-2024), Springer (SIST Series)

Conference Paper

Year : 2025

Exploring Predictive Tools for Drug-Target Binding Affinity Using Machine Learning Approaches

Cite this Research Publication : Tintu Vijayan, Pamela Vinitha Eric, Exploring Predictive Tools for Drug-Target Binding Affinity Using Machine Learning Approaches, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-7477-0_6

Publisher : Springer Nature Singapore

Year : 2022

Emotion Analysis Using Convolutional Neural Network

Cite this Research Publication : Renu D.S, Tintu Vijayan, Dr. D. Dhanya, 2022, Emotion Analysis Using Convolutional Neural Network, International Journal Of Engineering Research & Technology (Ijert) Iccidt – 2022

Journal Article

Year : 2025

Robust detection and revocation of mischievous nodes using non-voting-based mechanism

Cite this Research Publication : E. Jayanthi Kamalasekaran, Tintu Vijayan, Rohini Aravindan, Prachi Amol Gadhikar, R. Sapna, P.K. Sreelatha, Robust detection and revocation of mischievous nodes using non-voting-based mechanism, International Journal of Vehicle Information and Communication Systems, Inderscience Publishers, 2025, https://doi.org/10.1504/ijvics.2025.145795

Publisher : Inderscience Publishers

Year : 2025

FusionNet- A Hybrid Deep Learning Approach for Accurate Drug-Target Binding Prediction

Cite this Research Publication : Tintu Vijayan, Pamela Vinitha Eric, FusionNet- A Hybrid Deep Learning Approach for Accurate Drug-Target Binding Prediction, International journal of electrical and computer engineering systems, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2025, https://doi.org/10.32985/ijeces.16.5.5

Publisher : Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Year : 2025

An optimized automated drug-target interaction identification model based on a dual approach of 1D convolutional neural networks and self-attention-enhanced LSTMs

Cite this Research Publication : Tintu Vijayan, Pamela Vinitha Eric, An optimized automated drug-target interaction identification model based on a dual approach of 1D convolutional neural networks and self-attention-enhanced LSTMs, International Journal of Information Technology, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s41870-025-02404-4

Publisher : Springer Science and Business Media LLC

Year : 2025

A hybrid graph attention model for drug-disease association prediction using graph embeddings techniques

Cite this Research Publication : Tintu Vijayan, Pamela Vinitha Eric, A hybrid graph attention model for drug-disease association prediction using graph embeddings techniques, Journal of Ambient Intelligence and Humanized Computing, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s12652-025-04983-3

Publisher : Springer Science and Business Media LLC

FDP / Workshops
  1. Six-day Online FDP on “Industrial Applications of Embedded Systems and IoT”, organized by Rajalakshmi Engineering College in association with IIC, REC, and IEEE Society.
  2. Six-day Online FDP on “Latest Developments in RF Technologies in 5G and Beyond”, organized by Rajalakshmi Engineering College in association with IIC, REC, and IEEE Society.
  3. FDP on “Machine Learning for Medical Image Analysis”, organized by the Department of Computer Science and Engineering, Presidency University, Bengaluru.
  4. FDP on “Research Aspects in Quantum Computing”, organized by the Department of Computer Science and Engineering, Presidency University, Bengaluru.
  5. FDP on “Research Opportunities in Blockchain Technology”, organized by the Department of Computer Science and Engineering, Presidency University, Bengaluru.
  6. Three-day Workshop on “Research Methodology and LaTeX Documentation”, organized by the School of Computer Science and Engineering & Information Science, Presidency University, Bengaluru.
  7. Two-day Workshop on “Quantum Computing”, organized by the School of Computer Science and Engineering & Information Science, Presidency University, Bengaluru.
  8. Workshop on “Introduction to Quantum Computing using Qiskit”, organized by the Department of Computer Science and Engineering, Presidency University, Bengaluru.
  9. Workshop on “RPA–UiPath”, organized by the Department of Computer Science and Engineering, Presidency University, Bengaluru.
  10. Hands-on Workshop on “Arduino Using Embedded C”, organized by the Departments of Computer Science and Engineering and Electronics & Communication Engineering, Presidency University, Bengaluru.
  11. Workshop on “Design Thinking”, organized by the School of Computer Science and Engineering & Information Science, Presidency University, Bengaluru.
  12. Five-day FDP on “DevOps”, organized by the Department of Computer Science, School of Engineering, Presidency University, Bengaluru.
Membership
  • International Association of Engineers (IAENG)
Conferences Attended
  • Vijayan, Tintu, et al. Comparative Analysis of CNN and Transformer-based Architectures for Brain Tumor Classification Using MRI Images., IJCACI 2025, Washington University of Science and Technology (WUST), USA & RVIM, Bangalore, India.
  • Comparative analysis of facial emotion recognition on masked faces. International Conference A2CMR 2022, SoCSE-IS, Presidency University, Bengaluru.
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