Algorithms for Imaging Sciences Lab

Our Mission

The AIS Lab develops state-of-the-art algorithms for image and video enhancement, restoration, and generative modeling. Our work is grounded in rigorous mathematical analysis and a deep understanding of modern state-of-the-art algorithms, enabling the design of theoretically grounded deep learning models. We focus on building methods with provable guarantees, ensuring stability, robustness, and interpretability in complex imaging tasks. By integrating tools from optimization theory, signal processing, and applied mathematics, we aim to develop principled solutions to inverse problems. Our approach emphasizes both theoretical rigor and practical relevance, resulting in models that are efficient, scalable, and suitable for real-world deployment across diverse imaging applications.

• Provably convergent learning-based algorithms
• Real-time image and video restoration systems
• Theory-driven deep learning for inverse problems

We welcome motivated students interested in Computational Imaging, Image Processing, and Algorithms.