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Dr. Naresh E

Dr. Naresh E

Associate Professor

Ph.D

naresh.cse@bmsce.ac.in

Research Interests: His research interests include Software cost and effort estimation, Empirical software quality engineering, Software process improvement, Artificial Intelligence and Data Analytics.
Scopus profile:
https://www.scopus.com/authid/detail.uri?authorId=57192084190

About

Holding a Ph.D in Computer Science and Engineering. Currently, he is working as an Associate Professor in the Department of Computer Science and Engineering at B.M.S. College of Engineering, Bengaluru.

Education

  • Ph.D - Software Engineering
    JAIN (Deemed to be University)
    Passed Year: 2020 | Program Type: PartTime
  • M.Tech - Software Engineering
    M.S. Ramaiah Institute of Technology, VTU
    Passed Year: 2008 | Program Type: FullTime
  • B.E - Computer Science and Engineering
    VTU
    Passed Year: 2005 | Program Type: FullTime

Selected Publications

  • Journal | Published On : 21-05-2026
    Begum, S., Naresh, E. & Srinidhi, N.N
    Hybrid deep learning-based multimodal framework for plant leaf disease classification using RGB, Excess Green (ExG), and pseudo-thermal representations with MobileNetV2. Sci Rep 16, 27119 (2026). https://doi.org/10.1038/s41598-026-52115-4.
    Weblink
  • Conference | Published On : 05-05-2026
    Vijayamahantesh; Ashwitha A; Naresh E; Piyush Kumar Pareek
    Vijayamahantesh, A. A, N. E and P. K. Pareek, "TestAgentX: Leveraging Large Language Models and Reinforcement Learning for Scalable and Adaptive Software Testing," 2026 International Conference on Next-Gen Quantum and Advanced Computing: Algorithms, Security, and Beyond (NQComp), Bangalore, India, 2026, pp. 599-604, doi: 10.1109/NQComp68334.2026.11497649.
    Weblink
  • Journal | Published On : 02-04-2026
    Saba Begum, Naresh E & Srinidhi N. N.
    Begum, S., E, N. & N. N., S. A hybrid deep learning model for robust and efficient plant leaf disease detection using ResNet50, PCA, and SVM. Sci Rep 16, 15805 (2026). https://doi.org/10.1038/s41598-026-46085-w
    Weblink
  • Conference | Published On : 03-02-2026
    Netra S.N ; Srinidhi N.N; Naresh E
    S. N. Netra, N. N. Srinidhi and E. Naresh, "Improving Heart Disease Risk Prediction using Stacking Classifier," 2025 6th International Conference on Communication, Computing & Industry 6.0 (C2I6), Bengaluru, India, 2025, pp. 1-5, doi: 10.1109/C2I666499.2025.11366964.
    Weblink
  • Conference | Published On : 22-01-2026
    SabaBegum; Naresh E; Srinidhi N N
    SabaBegum, N. E and S. N. N, "Hybrid Deep Learning Models for Plant Leaf Disease Detection: A Comparison of Classification and Feature Extraction Techniques," 2025 International Conference on Communication, Computer, and Information Technology (IC3IT), Mandya, India, 2025, pp. 1-7, doi: 10.1109/IC3IT66137.2025.11341567.
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  • Journal | Published On : 07-01-2026
    R. Yasir Abdullah, C. Venkatesan, E. Naresh & B. P. Pradeep Kumar
    Abdullah, R.Y., Venkatesan, C., Naresh, E. et al. AI driven hybrid convolutional and transformer based deep learning architecture for precise lung nodule classification. Sci Rep 16, 3257 (2026). https://doi.org/10.1038/s41598-025-34569-0
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  • Journal | Published On : 31-12-2025
    Ashwitha, A., Srinidhi, N. N., Naresh, E., Guruprasad, M. S., & Sreenivasa, N
    Ashwitha, A., Srinidhi, N. N., Naresh, E., Guruprasad, M. S., & Sreenivasa, N. (2025). COA Based Adaptive Neuro-Fuzzy Inference System: Machine Learning Approach for Crop Yield Prediction to Promise Agricultural Sustainability. SN Computer Science, 6(8), 999.
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  • Journal | Published On : 26-12-2025
    Nagendra J; Prashanth K.S; Veerabhadrappa Kavadiki; Bopanna K.D; Vinutha M; Naresh E; Bandhu D
    Nagendra, J., Prashanth, K. S., Veerabhadrappa, K., Bopanna, K. D., Vinutha, M., Naresh, E., & Bandhu, D. (2025). AI-powered predictive framework for crack detection in steel–copper laser welding. Scientific Reports.
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  • Journal | Published On : 15-12-2025
    Pradeep Kumar B.P ; Naresh E; Raghavendra C.K; Jayakrishna, Raguru
    Pradeep Kumar, B. P., Naresh, E., Raghavendra, C. K., & Jayakrishna, R. (2025). Comprehensive brain tumour concealment utilizing peak valley filtering and deeplab segmentation. Scientific Reports, 15(1), 34780.
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  • Journal | Published On : 05-12-2025
    Netra S.N; Srinidhi N.N ; Naresh E
    Netra, S. N., Srinidhi, N. N., & Naresh, E. (2025). Adaptive deep SVM for detecting early heart disease among cardiac patients. Scientific Reports, 15(1), 30222.
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  • Journal | Published On : 06-10-2025
    Priyanka R; Shalini R; Naresh E; Haidari; Gantayat H; Thottathyl H
    PRIYANKA, R. R., SHALINI, D., NARESH, E., HAIDARI, M., GANTAYAT, D. H., & THOTTATHYL, H. (2025). INTELLIGENT LAND SUITABILITY ANALYSIS UTILIZING MULTILAYER PERCEPTRON AND IOT SENSORS. Journal of Theoretical and Applied Information Technology, 103(19).
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  • Journal | Published On : 27-08-2025
    Kalshetty Jagadevi N; Pareek Piyush Kumar ; Naresh E; Srinidhi N.N
    Kalshetty, J. N., Pareek, P. K., E, N., & N N, S. (2025). Representative Image Encryption and Decryption Framework with Block-Level Pixel Analysis for Medical Applications. IETE Journal of Research, 1–11. https://doi.org/10.1080/03772063.2025.2545424
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Other Information

ACM - Senior member
ISTE - Life member
ACT - Apple Certified Trainer -MacOSx 10.7
Apple Certified Support Professional 10.7
IBM - Certified Database Associate
IBM - Certified Solution Designer

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