Journals

1.  H. Tejaswini, M. M. Manohara Pai and R. M. Pai, “Automatic Estuarine Fish Species Classification System Based on Deep Learning Techniques“ in IEEE Access, vol. 12, pp. 140412-140438, 2024, doi: 10.1109/ACCESS.2024.3468438.
2. Tejaswini, H., Manohara Pai, M. M., & Pai, R. M. (2025). “A Review on Utilization and Impact of Prominent Datasets in Fisheries Research”. SN Computer Science, 6(8), 1027. doi: https://doi.org/10.1007/s42979-025-04581-2

- Ms. TEJASWINI H

1. C R Ramkrishnaiah, Deepika B V, Shridhara T N , (Sept 2014), Spatial Decision support system for solid waste management in Chickmaglur City, International journal of innovative science, Volume I , Issue 7, page no 77-85
2. Deepika B V, Pradeep K J, (Dec 2016) , Iron removal from drinking water using low cost adsorbents- A comparitive study, International journal of innovative research in science and Engineering and Technology, Volume 5, issue 12, 20914- 20948
3. Deepika B V, Sunethra A K, Raappa, Mohammed Zahid, Sandesh Nayak, (May 2017), Assessment of water quality Index (WQI) of ground water in Udupi District, Karnataka, India, International journal of science and Engineering Development Research, Volume 2, Issue 5.
4. Deepika B V, Sahithya S. Shetty, Gayathri Gopal Jathan, Sachin Ananth Naik, Tibin Baby, (May 2017), Strategies for implementing Green Technologies to SMVITM Campus, International journal of science and Engineering Development Research, Volume 2, Issue 5.
5. Akshay Kotian, Pavan Kumar U, Sachin Kumar S, Srikiran N S, Deepika B V, (May 2018) Assessment of Ground Water Quality in Udupi District, Karnataka,International Journal of Scientific Development and Research , IJSDR | Volume 3, Issue 5, ISSN: 2455-2631
6. Deepika B V, Ramakrishnaiah, Sadhashivaiah (may-jun 2020) Assessment of ground water quality by water quality index in Udupi district, Kanataka state, India, Test Engineering and management, ISSN: 0193-4120, vol 83,  Page No. 298 – 311
7. Deepika, B.V., Ramakrishnaiah, C.R. & Naganna, S.R. Spatial variability of ground water quality: a case study of Udupi district, Karnataka State, India. J Earth Syst Sci 129, 221 (2020). https://doi.org/10.1007/s12040-020-01471-4

- Dr. DEEPIKA B.V

1. 1. Vasudeva, S. T., Rao, S. S., Panambur, N. K., Shettigar, A. K., Mahabala, C., Kamath, P., Gowdru Chandrashekarappa, M. P., & Linul, E. (2022). Development of a Convolutional Neural Network Model to Predict Coronary Artery Disease Based on Single-Lead and Twelve-Lead ECG Signals. Applied Sciences, 12(15), 7711.
   2. Shrivathsa, T. V., Kalyan, C., Rao, S. S., Navin Karanth, P., Chakrapani, M., & Kamath, P. (2022). Development and performance evaluation of a coronary artery disease prediction system with transfer learned model based on single lead and multi-lead ECG & TMT-ECG signals. International Journal of Health Sciences, 6(S4), 8865–8890
   3. Adiga, K., Herbert, M. A., Rao, S. S., Shettigar, A. K., Shrivathsa, T. V. (2024). Development of machine learning regression models for the prediction of tensile strength of friction stir processed AA8090/SiC surface composites. Materials Research Express, 11(7), 076517.
   4. Adiga, K., Herbert, M.A., Rao, S.S., Shettigar, A., Shrivathsa, T.V., Tapariya, R. (2024). Comparison of Response Surface Methodology (RSM) and Machine Learning Algorithms in Predicting Tensile Strength and Surface Roughness of AA8090/B4C Surface Composites Fabricated by Friction Stir Processing. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. AEOTIT 2023. Lecture Notes in Electrical Engineering, vol 1226. Springer, Singapore.
   5. Shrivathsa, T.V. et al. (2024). Predictive Intelligent System Development for Disease Classification in Diagnostic Applications. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. AEOTIT 2023. Lecture Notes in Electrical Engineering, vol 1226. Springer, Singapore.
   6. Shetty, A. K., Abijeet, T. K., Machado, J. W., & Shrivathsa, T. V. (2017). Design and Analysis of Piston using Aluminium Alloys. International Journal of Innovative Research in Advanced Engineering, 4(04), 1-6.
   7. Shrivathsa, T. V., Puneet, N. P., & BG, V. R. (2025). Interpretation study of quasi-static uni-axial compression analysis of cellular panels with machine learning application. Advances in Materials Research (AMR), 14(4), 309–326.
   8. Keshavamurthy, R., Naveena, B. E., Gowda, P. V., & Shrivathsa, T. V. (2026). Performance evaluation of friction stir spot welding of Al 5754 and Al 6111 using machine learning approaches. Journal of Materials Engineering and Performance, 35(12), 11533–11551.
   9. Naveena, B. E., Santhosh, K., Keshavamurthy, R., Shrivathsa, T. V., Ganesha, B. B., & Mahesh, B. R. (2026). Performance Comparison of Tree-Based and Neural Network Models for Wear Prediction in Coated and Uncoated Al6061. Results in Surfaces and Interfaces, Article 100788.

- Dr. SHRIVATHSA T V

1. Journal:
   1. Sunil Haldankar,Chethan Kumar NT,Nagraj,B(2016), “Effect of Carbonates on Compaction Behaviour of Lime treated BC Soil treated”,Fly ash Mixtures, Proceedings of International Journal of Scientific Development and Research(IJSDR),2016,Volume-1, Issue-7, page no. 333-337.
   2. Sunil Haldankar,B(2017), “Strength Characterization of Lateritic Soil with Geogrid Inclusion Proceedings of International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE),2017,ISSN:2456-1290.

- Mr. SUNIL S HALDANKAR

“COSMOS-RV: A Lightweight Single-Issue Speculative Out-of-Order 32-bit RISC-V Processor With Virtually Indexed Physically Tagged Cache Architecture and FPGA Validation”

https://ieeexplore.ieee.org/document/11540152

- Mr. BALACHANDRA R JOGI

“An Efficient Vedic Multipliers Implementation Using Precomputation Logic”

- Mr. SARVESH S RAO