Rigel Mahmood
Rigel Mahmood
Assistant Professor of Data Science
- Doctor of Philosophy, University of Bridgeport, Bridgeport, Conn., 2026
- Master of Science, University of Connecticut, Storrs, Conn., 2025
- Bachelor of Science, University of Bridgeport, Bridgeport, Conn., 2019
Rigel Mahmood is a computer science researcher specializing in efficient computer vision backbones and vision transformers. Mahmood's academic and professional expertise bridges advanced machine learning architectural design and efficient execution. Her work directly addresses core bottlenecks in high-resolution image processing, spatial attention modeling, and multi-scale feature propagation to maximize real-world throughput and performance.
Research Interests
- Efficient Vision Transformers
- Machine Learning
Selected Works
Publications
- Mahmood, R., Patel, S., & Elleithy, K. (2025). Efficient Enhanced Vision Transformer (EEViT): Efficient Enhanced Vision Transformer Architectures with Information Propagation and Improved Inductive Bias. AI, 6(9), 233. https://doi.org/10.3390/ai6090233
- Mahmood, R., Patel, S., & Elleithy, K. (2026). DS² Attention: Dual-Stream Segmented Information Propagating Linear Attention for Vision Transformers. AI, 7(6), 188–207. https://doi.org/10.3390/ai7060188
