Personal profile
Research Interests
Fluvial Hydrology; Groundwater Hydraulics; Machine Learning; Computational Statistics; Hydroinformatics; Concrete Technology
Professional Information
· VGST - ARP Award (2019-20) from the Vision Group of Science and Technology (VGST) under the Department of Information Technology, Biotechnology and Science & Technology, Government of Karnataka.
· Outstanding Reviewer of Journal of Hydrology – 2017 (Elsevier).
Experience: 4.5 years (Academic); 4 years (Research)
Professional membership:
· Member of The Institution of Engineers (India) M-1770408
· Member of International Association of Hydrological Sciences (IAHS)
· Member of Indian Society for Technical Education (ISTE)
· Member of Indian Concrete Institute (ICI) LM:12740
· Member of International Association of Engineers (IAENG)
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Collaborations and top research areas from the last five years
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Fiber-Modified Open-Graded Friction Courses: Unveiling Enhanced Workability and Durability in Pavements
Balreddy, M. S., Govindraj, T., Siddaraju, S. & Naganna, S. R., 01-2026, In: Engineering Reports. 8, 1, e70580.Research output: Contribution to journal › Article › peer-review
Open Access -
Prediction of the Shear Strength of Steel-Fiber-Reinforced Concrete Using a Swarm Intelligence Based Extreme-Learning Machine
Amrutha, R., Marulasiddappa, S. B., Kuntoji, G. & Naganna, S. R., 12-2026, In: International Journal of Concrete Structures and Materials. 20, 1, 20.Research output: Contribution to journal › Article › peer-review
Open Access -
A Comparative Study on Air Quality Index Prediction Using Machine Learning and Hybrid Deep Learning Models
Pranav, N., Ganapathy, V., Geedhavarshini, B., Nigade, K., Shreya, S., Pushparaj, J., Naganna, S. R. & Sreeranga, S., 2025, Sustainable Waste Management Practices, Volume 2 - Sustainable Waste Management with Special Focus on Circular Economy. Ahammed, M. M. & Khare, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 73-86 14 p. (Lecture Notes in Civil Engineering; vol. 732 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Analysis and Modeling of Thermogravimetric Curves of Chemically Modified Wheat Straw Filler-Based Biocomposites Using Machine Learning Techniques
Faroque, F. A., Garimella, A. & Naganna, S. R., 05-2025, In: Journal of Composites Science. 9, 5, 221.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
An Investigation Into the Axial Capacity of Hot-Rolled I-Section Steel Columns Using Machine Learning
Nahushananda Chakravarthy, H. G., Rahul Gowda, B. A., Tantri, A. & Naganna, S. R., 07-2025, In: Engineering Reports. 7, 7, e70261.Research output: Contribution to journal › Article › peer-review
Open Access