Luis A. Zavala Mondragon

Luis A. Zavala Mondragon is a postdoctoral researcher at the Department of Electrical Engineering, Eindhoven University of Technology, with a focus on medical imaging and signal processing. He is affiliated with the Center for Care & Cure Technology Eindhoven and actively contributes to research in deep learning, wavelet-based denoising, and X-ray imaging systems.

• Education: PhD in Electrical Engineering (2023), TU/e.

His research explores the intersection of convolutional neural networks (CNNs) and medical imaging, particularly for noise reduction in CT scans. Recent work integrates wavelet transforms and spectral decomposition into deep learning architectures. He has published extensively in journals like IEEE Transactions on Medical Imaging and presented at conferences including EMBC.

Key scientific contributions include:

• CT denoising using learned wavelet-frame shrinkage networks
• Signal processing interpretations of CNNs
• Conditional GANs for low-dose CT
• Fixed wavelet frame integration with CNNs

He is involved in teaching courses on neural networks for computer vision and has developed open-access datasets and codebases for medical imaging research.