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  9. Dr. Vaishnavee Rathod
Dr. Vaishnavee Rathod

Dr. Vaishnavee Rathod

Designation: Ad-Hoc Assistant Professor

Biography:

Dr. Vaishnavee Rathod is an Assistant Professor in the Department of Information and Communication Technology at Adani University, Ahmedabad. She has completed her Ph.D. in the Department of Computer Science and Engineering from S.V.NIT, Surat. Her core research areas are Artificial Intelligence, Machine Learning, Explainable AI and Unmanned Aerial Systems. Her research expertise focuses on remote sensing data analysis and biomedical image analysis.

She has published several papers in SCI and Scopus-indexed journals. She has presented at several international conferences, with papers published on IEEE Xplore, Elsevier and Springer Book Chapters. She has also authored a book on Introduction to Data Science.

  • Ph.D. CSE – Sardar Vallabhbhai National Institute of Technology, Surat
  • M.Tech. ECE- GH Raisoni Institute of Engineering and Technology, Nagpur
  • B.E. ECE- Thakur College of Engineering, Mumbai

  • Assistant Professor, Sardar Patel Institute of Technology, Mumbai (Aug 2024 – Feb 2026)

  • AI-ML
  • Deep Learning
  • Explainable AI
  • Unmanned Aerial Systems
  • Computer Vision

  1. V. Rathod, D. Rana, R. Mehta, Black Widow Optimization with Deep Learning-Based Feature Fusion Model for RSI Analysis, International Journal of Computational Science and Engineering, Scopus Index. 2024 https://doi.org/10.1504/IJCSE.2025.143464
  2. V. Rathod, D. Rana, R. Mehta, A Computer Vision Approach to Vehicle Detection and Tracking from UAV Data for Indian Traffic Analysis, IETE Journal of Research, SCI. 2024 https://doi.org/10.1080/03772063.2024.2378478
  3. V. Rathod, D. Rana, R. Mehta, Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization, Journal of the Indian Society of Remote Sensing, SCI. 2024 https://doi.org/10.1007/s12524-024-02075-x
  4. V. Rathod, D. Rana, R. Mehta, Deep learning-driven UAV vision for automated road crack detection and classification, Journal of Nondestructive Testing and Evaluation, SCI. 2025 https://doi.org/10.1080/10589759.2024.2446650
  5. V. Rathod and K. Kashyap, Classification of Ultrasound Images using NLM, International Journal of Advanced Science and Technology, Scopus Indexed. 2020 http://sersc.org/journals/index.php/IJAST/article/view/16587

  1. An Extensive Review of Deep Learning-Driven Remote Sensing Image Classification Models, 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). IEEE Xplore https://doi.org/ 10.1109/ICICICT54557.2022.9917583
  2. Unmanned Aerial Vehicle-Based Real-time Garbage Detection System, 2024 Procedia Computer Science, ELSEVIER https://doi.org/10.1016/j.procs.2025.04.506
  3. UAV-Based Vehicle Detection Under Varying Lighting Conditions for Indian Traffic Scenario, 2025 International Conference on Emerging Technology in Autonomous Aerial Vehicles (ETAAV). IEEE Xplore https://ieeexplore.ieee.org/document/11213146
  4. Explainable AI for Temporal Feature Interpretation in Volatility Forecasting, 2025 17th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE Xplore https://ieeexplore.ieee.org/abstract/document/11368102
  5. Explainable AI for Band Selection in Hyperspectral Imaging: A Comparative Analysis, 2025 International Conference on Responsible, Generative and Explainable AI (ResGenXAI). IEEE Xplore https://ieeexplore.ieee.org/abstract/document/11344040
  6. Robust Vehicle Detection in Aerial Imagery: Comparative Study of YOLO Variants, 2025 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE). IEEE Xplore https://10.1109/ICMOCE64100.2025.11076987

  1. Introduction to Data Science, ISBN “978-93-7130-285-2”
  2. Intelligent Deep Learning Based Feature Fusion Model for Remote Sensing Image Analysis, 2024 Intelligent Computing and Technology Conference (ICTCon), Springer Lecture Notes https://link.springer.com/chapter/10.1007/978-3-032-10250-8_36
  3. Multimodal Aerial Surveillance for Dynamic Crack Detection of Indian Roads, 2024 Intelligent Computing and Technology Conference (ICTCon), Springer Lecture Notes. https://link.springer.com/chapter/10.1007/978-3-032-10250-8_28

  1. Cloud Connected IoT System for Dynamic Urban Traffic Management (Published)

  1. AI-Based Systems to Detect Road Cracks, Potholes and Trash (SSIP 2.0). Funds Sanctioned of Rs. 50,000/ for Project under SSIP 2.0. by ASHINE, SVNIT Surat 2023.

  • Delivered several Expert Lectures at Drone Technology Bootcamps, SVNIT Surat under MeitY Funded Project SWAYAN.
  • Research Showcase at IEEE CSIR-CSIO 2023, NITTTR Chandigarh (Advancements in Healthcare Technologies).
  • Attended Unmanned Aerial System (Drone and related Technology) Faculty Training Program at IIT Bombay.
  • Participated in UDAAN 1.0 at IIT BHU.

  • Best Paper Award in International Conference on Engineering Systems Design and Optimization (2020).

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