Jay Nareshbhai Chaudhari

Research Scholar at IIIT Vadodara

Jay Nareshbhai Chaudhari is a Visvesvaraya Research Scholar at the Indian Institute of Information Technology (IIIT) Vadodara. He holds a Master of Engineering in Electrical Engineering (Automatic Control & Robotics) from The Maharaja Sayajirao University of Baroda.

Beyond his research, he is an avid half marathon runner and enjoys playing the ukulele and singing gujarati folk songs.

Research Interests:

Surveillance, Computer Vision, Edge AI, Model Compression, Real-Time Systems

Research Experience

Project: Person Retrieval in Video Surveillance

Senior Research Fellow (August 2024 – July 2025) & Junior Research Fellow (August 2022 – July 2024) at Ahmedabad University, Ahmedabad, India.

Person retrieval in video surveillance is a task of locating a person with the given description in the video frame.

Designed and implemented novel person retrieval with novel person attribute recognition architectures such as CorDeepMAR and DensePAR, achieving real-time performance on Nvidia Jetson Orin AGX.
Optimized machine learning models for real-time deployment in resource-constrained environments using model compression techniques like quantization and pruning.
Developed a Transformer based person retrieval system for natural language queries.
Built an annotation tool using the Ultralytics library: AnnoTool.
Assisted Prof. Raval in conducting hands-on sessions at various institutions and mentored students.

Masters Dissertation: Sleep Stage Classification Based on Machine Learning Algorithms with Wavelet Decomposition Techniques (2021-2022)

Developed a framework for sleep stage classification using machine learning algorithms such as Random Forest and Gradient Boosting Classifiers.
Employed wavelet decomposition techniques (Coiflet, Daubechies, and Biorthogonal) for feature extraction from EEG signals.
Achieved a classification accuracy of 91% using Hjorth parameters for feature extraction.
Code available at: Github: SSC.

Publications

Journal Articles

M. Vitek, D. Tomašević, A. Das, S. Nathan, G. Özbulak, G. A. T. Özbulak, J.-P. Calbimonte, A. Anjos, H. H. Bhatt, D. D. Premani, J. Chaudhari, C. Wang, J. Jiang, C. Zhang, Q. Zhang, I. I. Ganapathi, S. S. Ali, D. Velayudan, M. Assefa, N. Werghi, Z. A. Daniels, L. John, R. Vyas, J. N. Khiarak, T. A. Saeed, M. Nasehi, A. Kianfar, M. P. Panahi, G. Sharma, P. R. Panth, R. Ramachandra, A. Nigam, U. Pal, P. Peer, and V. Štruc, "Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025," arXiv preprint arXiv:2508.10737, 2025. arXiv Link | Code/Data

Graphical Abstract for Onboard Person Retrieval System

J. N. Chaudhari, H. Galiyawala, P. Sharma, P. Shukla, and M. S. Raval, "Onboard Person Retrieval System With Model Compression: A Case Study on Nvidia Jetson Orin AGX," IEEE Access, vol. 13, pp. 8257-8269, 2025. DOI

J. N. Chaudhari, H. Galiyawala, M. Kuribayashi, P. Sharma, and M. S. Raval, "Designing Practical End-to-End System for Soft Biometric-Based Person Retrieval From Surveillance Videos," IEEE Access, vol. 11, pp. 133640-133657, 2023. DOI

Graphical Abstract for Soft Biometric-Based Person Retrieval

Conference Proceedings

H. Tripathi, J. N. Chaudhari, H. Galiyawala, P. Sharma, and M. S. Raval, "Integrating Datasets with Discrete and Natural Language Annotations for Person Retrieval," 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Hong Kong, 2023, pp. 1-5. DOI

Graphical Abstract for Integrating Datasets in IoT/CPS

J. N. Chaudhari, H. S. Dhiman, P. Suthar, and K. Manjunath, "Wavelet Transform-Based Comparative Analysis of Wind Speed Forecasting Techniques," in Renewable Energy Optimization, Planning and Control: Proceedings of ICRTE 2021, Volume 1, Springer Singapore, pp. 121-128. DOI

Graphical Abstract for Wind Speed Forecasting Techniques

Professional Services

Served on the Local Arrangement Committee at the National Conference on GeneRative AI for Nurturing Sustainable Agriculture (GRAINS) 2024
Peer reviewer for Women in Computer Vision Workshop at ECCV 2024, BMVC 2024, and CVMI Conference 2024.
Served as Volunteer for IEEE ITSS Awareness Campaign/Seminar on Two-Wheeler Safety and Mobility Technologies, Ahmedabad University, November 2023.
Conducted hands-on sessions on various topics such as machine learning and deep learning across multiple institutions.

Certificate Programs and Summer Schools Attended

July 2024: Certificate Program on IoT and Autonomous Systems, IIIT Sricity, India
July 2023: Summer School on AI with Focus on Computer Vision & Machine Learning, CVIT, IIIT Hyderabad, India
January 2023: Winter School on Deep Learning, ISI Kolkata, India