Dr. Savitri Nathrao Jadhav

Bio

Dr. Savitri N. Jadhav is an Assistant Professor in the Department of Electrical and Electronics Engineering with over 18+ years of academic and research experience. She completed her Ph.D. from Savitribai Phule Pune University in 2022. Handwritten MODI character recognition was her topic of research. Her research interests span Artificial Intelligence & Machine Learning (AIML), Embedded AI, Image Processing, Pattern Recognition, and Edge AI. She has contributed extensively to interdisciplinary domains including UAV-based flood detection, anomaly detection using embedded AI, and intelligent agricultural systems. She has published numerous research papers in reputed journals and conferences and holds multiple Indian patents in areas such as crop damage assessment, non-invasive glucose monitoring, and UV-C disinfection systems. She is actively involved in consultancy projects with industry partners like KPIT Technologies and Bharat Flow Analytics, focusing on real-world AI and embedded system applications. A professional member of IEEE and associated with the Geoscience and Remote Sensing Society, she is committed to advancing research, innovation, and student mentorship in emerging technologies.

Publications

Patil, Kamalesh, A. Akbar Badusha, Savitri Jadhav, and Kishanprasad Gunale. "GTSRB Shield: A Novel Machine Learning Approach to Anomaly Detection in German Traffic Signs Recognition Benchmark (GTSRB) Dataset." In Symposium on International Automotive Technology (2026). SAE Technical Paper, 2026.

Chaudhari, Pranav, and Savitri N. Jadhav. "Flood Detection with UAV Imagery using Embedded AI." Grenze International Journal of Engineering & Technology (GIJET) 11 (2025).

Jadhav, Savitri, and Nathrao B. Jadhav. "Anomaly Detection Using Embedded AI." In International Conference on Information Technology, pp. 245-253. Singapore: Springer Nature Singapore, 2024.

Jadhav, Savitri, and Bharat S. Chaudhari. "Embedded systems for low-power applications. "In TinyML for Edge Intelligence in IoT and LPWAN Networks, pp. 13-26. Academic Press, 2024.

Peesapaty, Sree Harsha Prada, Ananya Mallik, Apurva Naik, Raghunath Bhadade, and Savitri Jadhav. "Zigbee Communication Protocol for Cansat Telemetry and Control." In 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE), pp. 1-6. IEEE, 2024.

Raut Rituraj, Savitri Jadhav, and Nathrao B. Jadhav. "Design of hexacopter and finite element analysis for material selection." International Journal of Intelligent Unmanned Systems ahead-of-print (2023).

Jadhav Savitri, and Vandana Inamdar. "Convolutional Neural Network and Histogram of Oriented Gradient Based Invariant Handwritten MODI Character Recognition." Pattern Recognition and Image Analysis 32, no. 2 (2022): 402-418.

Jadhav, Nathrao B., Rajas Bhagat, Sanika Paranjpe, Saurabh Dahitule, Siddhi Madke, and Savitri Jadhav. "Micro-ring resonator based all-optical Arithmetic and Logical Unit." Optik 244 (2021): 167622.

Chandure, Savitri, and Vandana Inamdar. "Offline Handwritten MODI Character Recognition Using GoogLeNet and AlexNet." In 2021 The 13th International Conference on Computer Modeling and Simulation, pp. 76-80. 2021.

Chandure, Savitri, and Vandana Inamdar. "Handwritten MODI Character Recognition Using Transfer Learning with Discriminant Feature Analysis." IETE Journal of Research (2021): 1-11.

Shitole, Sneha, Savitri Jadhav. "Recognition of handwritten devanagari characters using linear discriminant analysis.", 2 nd International Conference on Inventive Systems and Control (ICISC), pp. 100-103. IEEE, Jan, 2018.

Shweta Pawar, Savitri Jadhav,”Translation Invariant Image Classification”,3 rd International Conference on RTEICT-2018, IEEE, 18-19 May, 2018

Savitri Laxmanrao Chandure, Vandana Inamdar, “Performance Analysis of Handwritten Devnagari and MODI Character Recognition System ”, International conference on Computing, Analytics and Securty Trends (CAST) 2016, IEEE, 19-20 December 2016.

Savitri N. Jadhav, Dr. G. N. Mulay, MIT, Pune and Prof. J.S. Chitode, “Compression and Decompression of Corpus Used For TTS”, National Conference on Parsive Computing (NCPC) 2010, IEEE, 9-10 April 2010.