Dr. Jayashree T R
Associate Professor
, Dept. of AIMLDepartment of AIML
- [email protected]
- Teaching Experience
- 10 Years
- Industry Experience
- 1 Years
- Research Experience
- 4 Years
Educational Qualifications
| COURSES | SPECIALIZATION | INSTITUTION | UNIVERSITY |
|---|---|---|---|
| B.E. | KVGCE, SULLIA | MANGALORE | |
| M.Tech | COMPUTER SCIENCE AND ENGINEERING | NMAMIT, NITTE | VTU, BELGAUM |
| Ph. D | COMPUTER SCIENCE AND ENGINEERING | MIT, MAHE, MANIPAL | MAHE, MANIPAL |
Past Experience/University Level Assignments/College Level Assignments
- Assistant Lecturer at NITK, Surathkal from July 2024 to May 2025.
- Assistant Professor at SJEC, Mangalore from September 2023 to May 2024.
Departmental Responsibilities
No departmental responsibilities listed.
Professional Body Membership
- LMISTE
Subject Teaching / Handled
- DESIGN AND ANALYSIS OF ALGORITHMS
- DATA BASE MANGEMENT SYSTEM
- ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
- BUSINESS INTELLIGENCE
- INTRODUCTION TO DATA SCIENCE
Research
Areas of Interest
- Data Science, Machine Learning, Water Resources Management, Hydrology
Ph.D. SUPERVISION
No research supervision details available.
Current Research
- Data Science, Machine Learning, climate change
Funded Projects
No funded projects available.
Publications
Journals
Refereed Journals
- Ramachandra, J.T., Veerappa, S.R.N., & Udupi, D.A. (2022). "Assessment of spatiotemporal variability and trend analysis of reference crop evapotranspiration for the southern region of Peninsular India." Environmental Science and Pollution Research (Q1, IF: 5.1). DOI
- TR, J., Reddy, N.S., & Acharya, U.D. (2023). "Modeling Daily Reference Evapotranspiration from Climate Variables: Assessment of Bagging and Boosting Regression Approaches." Water Resources Management (Q1, IF: 4.4). DOI
- 3. Jayashree T R, Dr. NV Subba Reddy, Dr. U Dinesh Acharya, (2025), "A Performance Benchmarking of ML and DNN Models in Sorghum Yield Estimation for South India", International Journal of Science and Research (IJSR), 14(8), 161-170. https://dx.doi.org/10.21275/SR25801151443, https://www.ijsr.net/getabstract.php?paperid=SR25801151443
Non-Refereed Journals
No non-refereed journal details available.
Conferences
- 5
- 1. "Voting-Based Ensemble of Classifiers for Air Quality Prediction." Springer AISCC-2020 Springer (MNIT Jaipur).
- 2. "Development of a Deep Neural Network Model for Predicting Reference Crop Evapotranspiration." PCCDS 2022. Springer Nature Singapore.
- 3. "Application of Ensemble Machine Learning Techniques in Yield Predictions of Major and Commercial Crops." ICCIS 2022. Springer.
- 4. “LifeLink: A Secure and Privacy-Preserving AI Architecture for Healthcare Resource Allocation and Dynamic Logistics.” WCSC 2026. Springer Nature.
- 5. “An Explainable Machine Learning–Driven Web Platform for Pregnancy Risk Prediction and Fetal Movement Monitoring.” ECMI 2026. IEEE (expected online).
Book / Book Chapter
Books Published
No book details available.
Book Chapters Published
- Jayashree, T.R., et al. (2023). "Prediction of reference crop evapotranspiration: Empirical and machine learning approaches." In Handbook of Hydroinformatics. Elsevier.
Patents
No patent details available.
FDPs / Workshops / Seminars
Attended
- 3
- AICTE Training and Learning (ATAL) Academy Academy Faculty Development Program on Digital Forensics from 05/01/2026 to 10/01/2026 by ALVA'S INSTITUTE OF ENGINEERING AND TECHNOLOGY
- Artificial Intelligence and Machine Learning in Space Exploration from 23/02/2026 to 28/02/2026 by INDIA SPACE ACADEMY
- National-Level One-Week FDP on 'Bibliometric Analysis from 1 June - 6 June 2026 by Sahyadri College of Engineering and Management, Mangalore
MOOC Certifications
No MOOC certificates available.
Other Details
No other details available.