Aggelos K Katsaggelos

Aggelos K Katsaggelos is a Professor at Northwestern University, holding roles in both the McCormick School of Engineering and the Department of Radiology (Basic and Translational Radiology Research). His research spans medical imaging, machine learning, computer vision, semiconductor materials, and astrophysics simulations. Key contributions include advancements in deep learning for medical diagnostics, semiconductor detector characterization, and computational astrophysics. He is affiliated with the Northwestern University Clinical and Translational Sciences Institute (NUCATS).

Research interests include AI-driven medical imaging analysis, signal processing for healthcare applications, and semiconductor physics. Notable projects include work on POSYDON for binary star simulations and innovations in GAN-based image super-resolution. He has authored over 350 publications, focusing on interdisciplinary applications of machine learning in healthcare and engineering.

No scientific awards are explicitly listed, but his extensive publication record reflects significant academic contributions. External professional relationships for 2024 were none, indicating focused academic engagement. Advising and grants details are not specified in the provided texts.