Biography
Vatsa Patel holds a Ph.D. in Computer Science from the University of Dayton, with a specialization in artificial intelligence, machine learning, and computer vision. His interdisciplinary research focuses on real-world applications such as anomaly detection, autonomous systems, signal processing, generative AI, and multimodal learning.
He has developed machine learning solutions across diverse domains, including traffic monitoring, object detection, biomedical systems, real estate analytics, UAV signal processing, and quantum-enhanced learning. His work combines deep learning, generative models, and multimodal analysis, often integrating advanced techniques to improve performance and scalability.
Vatsa's work has led to numerous peer-reviewed publications. He is passionate about bridging theoretical innovation with practical impact, mentoring students, and advancing research that addresses complex, real-world challenges.
Research Interests
- Machine Learning
- Artificial Intelligence
- Computer Vision
- Data-Driven Modeling
- Multimodal Systems
- Signal and Image Processing
- Generative Models
- Applied Deep Learning
- Intelligent Systems
Publications
Tran-Le, Ba-Thinh, Vatsa Patel, Viet-Tham Huynh, Mai-Khiem Tran, Kunal Agrawal, Minh-Triet Tran, and Tam V. Nguyen. "Towards safer roads: benchmarking object detection models in complex weather scenarios." Machine Vision and Applications 36, no. 4 (2025): 94.
Vatsa S. Patel, Kunal Agrawal, Samah S. Baraheem, Amira Yousif, Tam V. Nguyen. "Image de-photobombing benchmark." Multimedia Tools and Applications (2024): 1-16.
Vatsa S. Patel, Kunal Agrawal, Tam V. Nguyen. "A Comprehensive Analysis of Object Detectors in Adverse Weather Conditions." In 2020 58th Annual Conference on Information Sciences and Systems (CISS), IEEE, 2024.
Vatsa S. Patel, and Zhenhua Jiang. "An Initial Survey on Quantum Enhanced RF Signal Extraction in Cluttered Environments." In NAECON 2024-IEEE National Aerospace and Electronics Conference, pp. 136-141. IEEE, 2024.
Tam V. Nguyen, Ngoc-Dat Thanh, Viet-Tham Huynh, Vatsa S. Patel, Umang Jain, Mai-Khiem Tran, Trung-Nghia Le, Minh- Triet Tran. “Urban Traffic Planning Simulation with Time and Weather Dynamics”. In 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE, 2024.
Reyansh Mishra, Vatsa S. Patel, Hongjo Kim, Tam V. Nguyen. “Road Surface Material Recognition from Dashboard Cameras.” International Symposium on Visual Computing, 2024.
Kriti Sharma, Thomas Shrek, Vatsa S. Patel, Minh-Triet Tran, Tam V. Nguyen “GAIA: A Benchmark of Analyzing User Rankings for Synthesized Images.” International Symposium on Visual Computing, 2024.
Kunal Agrawal, Vatsa S. Patel, Ian Cannon, Minh-Triet Tran and Tam Nguyen“Motorcycle Helmet Detection Benchmarking.” Special issue on “3th International Symposium on Information and Communication Tech, SOICT, 2024.
Kunal Agrawal, Vatsa S. Patel, Reema Tharra, Trung-Nghia Le, Minh-Triet Tran and Tam Nguyen “Motion Analysis in Static Images.” Special issue on “3th International Symposium on Information and Communication Tech, SOICT, 2024.
Amira Yousif, Samah Baraheem, Sai Surya Vaddi, Vatsa S. Patel, Ju Shen, Tam V. Nguyen. "Real Estate Pricing Prediction Via Textual and Visual Features." Machine Vision Application, 2023.
Prakya, Sai Pavan Kumar, Madamanchi Manju Venkata Sainath, Vatsa S. Patel, Samah Saeed Baraheem, and Tam V. Nguyen. "Photobombing Removal Benchmarking." In International Symposium on Visual Computing, pp. 55-66. Cham: Springer Nature Switzerland, 2022.
Nguyen, Tam V., Thanh Ngoc-Dat Tran, Viet-Tham Huynh, Bao Truong, Minh-Quan Le, Mohit Kumavat, Vatsa S. Patel, Mai-Khiem Tran, and Minh-Triet Tran. "Data-Driven City Traffic Planning Simulation." In 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), pp. 859-864. IEEE, 2022.
Vatsa S. Patel, Zhongliang Nie, Trung-Nghia Le, and Tam V. Nguyen. "Masked face analysis via multi-task deep learning." Journal of Imaging 7, no. 10 (2021): 204.
Education
Ph.D. in Computer Science at University of Dayton