IPYA Inverse Problems Seminar

Frontiers in Inverse Problems: Theory, Algorithms, and Applications

Inverse problems play a central role across diverse fields, including medical imaging (CT, MRI), geophysical exploration, financial modeling, and machine learning. The fundamental challenge, recovering hidden causes from observed data, is inherently ill-posed and demands advanced mathematical techniques to ensure stability and interpretability of solutions.

This seminar aims to provide a cutting-edge survey of current developments in inverse problems, highlighting the interplay between rigorous theory, algorithmic innovation, and real-world applications. Participants will gain both conceptual insights and practical knowledge of state-of-the-art approaches. Topics will include:

1. Theoretical analysis of inverse problems
2. Regularization theory and optimization
3. Bayesian and statistical frameworks
4. Machine learning-based methods

To foster engagement and discussion, the seminar will follow this structure:

1. Frequency. Bi-weekly sessions (30-60 minutes)
2. Structure. Main presentation followed by 5-10 minutes of open discussion
3. Mode. Online

Organizers. Pu-Zhao Kow, Ping Liu, Suman Kumar Sahoo, Yaohua Zang

Seminar rules

1. The participants will be muted upon entry.
2. If you would like to ask a question, please unmute yourself and pose the question, then please switch the microphone back off.
3. The participants are kindly asked to log in with the video off, so as to avoid problems with the bandwidth. You are very welcome to turn the video on when asking questions.
4. Once the talk is over and there are no more questions, the participants are very welcome to stay around a bit and chat with your colleagues.