Dr. Jeethu V. Devasia

Associate Professor

About

Dr. Jeethu V. Devasia is an Associate Professor at the School of Computer Science & Engineering, RV University, India. She holds a PhD from NIT Calicut, specializing in computational approaches for identifying causal genes and pathways in biological networks. She completed her MTech from NIT Calicut and her BTech from Cochin University of Science & Technology. With 20 years of teaching and research experience, she has also served as an Associate Professor at VIT-AP University and held various academic roles at Vimal Jyothi Engineering College. Dr. Jeethu V. Devasia is a member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE).

"The fear of the Lord is the beginning of knowledge." - The Bible

P. Deepanramkumar, A. Helensharmila, R Niranchana, Sudheer Devulapalli, Jeethu V. Devasia, CH. Pradeep Reddy, Gokul Yenduri, and N. Jaisankar, “Enhancing Connectivity in Rural Areas: Secure Spectrum Access in 6G Networks Using Advanced Encryption and Spectrum Sensing Techniques'', IT Professional, 2024, vol. 26, pp. 22-28, doi: https://doi.ieeecomputersociety.org/10.1109/MITP.2024.3433402

Eeswara Sree Sai G. and Jeethu V. Devasia, “Co-Code: Collaborative Code EditorPlatform”, 6th International Conference on Computational Intelligence & Data Engineering, Andhra Pradesh, India, 9th - 10th August 2024, Proceedings to be published in the Lecture Notes on Networks and Systems (LNNS) series of Springer.

Jeethu V. Devasia, P. Deepanramkumar, A. Helensharmila and Gokul Yenduri, “Sustainable Farming through ML: Enhancing Productivity and Efficiency - Ethical Considerations and Social Implications (Chapter 19)”, 2024, CRC Press, Taylor & Francis Group, https://www.routledge.com/Sustainable-Farming-through-Machine-Learning-Enhancing-Productivity-and-Efficiency/Satpathy-KumarPaikaray-Yang-Balakrishnan/p/book/9781032777498

Gopinath, A. Joy, J. Wilson, S. Saji and Jeethu V. Devasia, ""Customer Evaluation And Profit Maximization Using Machine Learning for Offline Stores,"" 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, 2022, pp. 495-500, IEEE, doi: https://doi.org/10.1109/ICICICT54557.2022.9917692.

Suhada C. and Jeethu V. Devasia, ""Peer to Peer Lending: Risk Prediction Using Machine Learning on An Imbalanced Dataset,"" 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, 2022, pp. 511-519, IEEE, doi: https://doi.org/10.1109/ICICICT54557.2022.9917708.

Ashly K P, Devika K, Nivedya Susil, and Jeethu V Devasia, ""Peer Tracking and Collision Free Navigation for Visually Impaired,"" 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur India, 2022, pp. 542-548, IEEE, doi: https://doi.org/10.1109/ICICICT54557.2022.9917708.

Jeethu V. Devasia and Priya Chandran, “Graph pruning based approach for inferring disease causing genes and associated pathways,” International Journal of Bioinformatics Research and Applications, 2019, vol. 14, no. 4, pp. 359–370, doi: https://doi.org/10.1504/IJBRA.2019.10025478

A. Jinson, A. K. Wilson, Dharsana. N. P., M. John, and Jeethu V. Devasia, “An integrated framework for taxi service automation using IoT,” Proceedings of the International Conference on Technological Convergence in Engineering, Energy and Sustainability, Kannur, India, 2019.

Jeethu V. Devasia, P. Chandran, A. Soman, A. E. Mathew, and J. Jharwal, “Graph Sparsification with Parallelization to Optimize the Identification of Causal Genes and Dysregulated Pathways,” in Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, Limassol Cyprus, 2019, pp. 747–753, ACM, doi: https://doi.org/10.1145/3297280.3297352

Jeethu V. Devasia and Priya Chandran, “Inferring disease causing genes and their pathways: GpRr method,” Journal of Computational Science, 2018, vol. 26, pp. 108–117, doi: https://doi.org/10.1016/j.jocs.2018.03.008

Jeethu V. Devasia, P. Chandran, G. Shreya, Aparna R., and Abhijith R., “On Parallelizing Graph Theoretical Approaches for Identifying Causal Genes and Pathways from Very Large Biological Networks,” in Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, Cambridge United Kingdom, 2017, pp. 1-6, ACM, doi:https://doi.org/10.1145/3018896.3056793.

Jeethu V. Devasia and Priya Chandran, ""“Who are the key players behind a disease state?”: Outcomes of a new computational approach on cancer data,"" 2016 International Conference on Bioinformatics and Systems Biology (BSB), Allahabad, India, 2016, pp. 1-4, IEEE, doi:https://doi.org/10.1109/BSB.2016.7552148.

Jeethu V. Devasia and Priya Chandran, “Towards an improved algorithm for modeling information flow in biological networks," International Conference on Advances in Computing, Communications, and Information Science, Kollam, India, 2014, pp. 88–95, Elsevier.

Patent: Jeethu V. Devasia, Ashly K. P., Devika K., Nivedya Susil, “A System for Indoor Navigation of the Visually Impaired,” Indian Patent, No. 202241053319 A.

Research Interests

Machine learning

Deep learning

Data science

Computational biology

Academic Achievements

PhD: MHRD Fellowship (2013 – 2018)

GATE Qualification: 2011

Appreciation for Software Development: Vimal Jyothi Engineering College (2009)

Administrative Roles

Programme Coordinator, BTech in Computer Science & Design, Vimal Jyothi Engineering College (2023)

Head of the Department, Computer Science & Engineering, Vimal Jyothi Engineering College (2020 – 2023)

Coordination and Mentoring Roles

Techfest Faculty Coordinator, School of Computer Science & Engineering, VIT-AP University (2024)

Core Member, Arts and Sports Cultural Fest, VIT-AP University (2024)

Core Team Member, Sixth International Conference on Computational Intelligence & Data Engineering, VIT-AP University (2024)

Coordinator and Mentor of Software Development, Archdiocese of Tellicherry, Thalassery, Kerala (2022)

Course Coordinator, NME-ICT Sponsored Workshop on C and C++, Teaching Learning Centre (ICT), IIT Bombay (2022)

National Level Techfest Coordinator, Vimal Jyothi Engineering College (2022)

Convenor of CSI Sponsored FDP on Advances in Natural Language Processing using AI – Vimal Jyothi Engineering College (2022)

Convenor of CSI Sponsored FDP on Machine Learning with its Mathematical Foundations – Vimal Jyothi Engineering College (2021)

Dr. Jeethu V. Devasia

Associate Professor

Ph.D.

School of Computer Science and Engineering

jeethuvd@rvu.edu.in
Bengaluru