Joel Wållberg

Joel Wållberg is a Researcher and Doctoral student at KTH Royal Institute of Technology, affiliated with the Division of Particle Physics, Astrophysics and Medical Imaging. His work centers on advancing spectral photon-counting computed tomography through deep learning techniques for multi-material decomposition, supervised by Mats Persson.

His research spans Deep Learning, Medical Imaging, and Inverse Problems, with specific emphasis on algorithmic solutions for material discrimination in CT imaging. This includes developing neural network frameworks to enhance reconstruction accuracy in multi-energy imaging scenarios.

His publication record features a 2022 bachelor's thesis on differential geometry, exploring Stokes' Theorem and integration of differential forms over chains. This mathematical foundation informs his current computational approaches to medical imaging challenges.

No scientific awards are documented. As an early-career researcher, Wållberg focuses on his doctoral thesis under active supervision and contributes to the division's medical imaging research initiatives without formal student advising responsibilities.