About Me
My research spans Computer Vision, Image Processing, and Machine Learning. I design intelligent tools for public safety video systems, bridging theoretical research with robust, real-world deployment. My research addresses foundational challenges in person re-identification, anomaly detection, and neural network architectures. My work has been recognized with a U.S. Patent, best-paper awards, and significant federal grant funding.
Research Interests
- Person Re-Identification & Face Recognition
- Automated Video Surveillance & Anomaly Detection
- Machine Learning Stability (Catastrophic Forgetting)
- Image Quality Assessment (IQA)
- Convolutional Quadratic Neural Networks (CQNN)
- Semantic Segmentation
Selected Publications
Occlusion-aware appearance and shape learning for occluded cloth-changing person re-identification.
Vuong D Nguyen, Pranav Mantini, Shishir K Shah. Pattern Analysis and Applications '25
Vuong D Nguyen, Pranav Mantini, Shishir K Shah. Pattern Analysis and Applications '25
Recall-Based Knowledge Distillation for Data Distribution Based Catastrophic Forgetting in Semantic Segmentation.
Samiha Mirza, et al., Pranav Mantini. ICPR '25
Samiha Mirza, et al., Pranav Mantini. ICPR '25
Camera Tampering Detection using Generative Reference Model and Deep Learned Features.
P. Mantini, S.K. Shah. VISAPP '19 [Best Paper Award]
View all on Google Scholar
P. Mantini, S.K. Shah. VISAPP '19 [Best Paper Award]
Teaching
Upcoming Semesters
- Digital Image Processing: Spring '26
- Computer Organization and Architecture: Spring '26
Past Semesters
- Digital Image Processing: 18+ semesters since Fall '17
- Computer Organization and Architecture: 7+ semesters since Fall '22
- Computer Vision: Spring '17, '18