Jay Nareshbhai Chaudhari
Senior Research Fellow at Ahmedabad University
Jay is a senior research fellow at Ahmedabad University. He works with Prof. Mehul Raval on the GUJCOST Project "Person Retrieval in Video Surveillance." He holds a Master's degree in Automatic Control and Robotics from The Maharaja Sayajirao University of Baroda. His work focuses on developing and deploying real-time vision-language systems in resource-constrained environments.
Beyond my research, I’m an avid half marathon runner, having completed events like the Adani Ahmedabad Marathon (2023 & 2024) and the Ahmedabad East Marathon (2025). When I’m not immersed in work, I love to unwind by 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 (2024–Present) & Junior Research Fellow (2022–2024) 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.
B.Tech Dissertation: Energy Management of Hybrid Wind Battery System (2018-2019)
- Developed statistical and machine learning regression models for wind speed forecasting.
- Developed a scheduling algorithm for charging and discharging of the battery system based on wind speed forecasts.
- Reduced the penalty over the power deficit by 40% for three wind farm sites.
Publications
Journal Articles
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
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
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
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