Prof. Dr.-Ing. Gabriel Herl

Vita

Gabriel Herl is Professor for Multipositional Computed Tomography at the Deggendorf Institute of Technology (Technische Hochschule Deggendorf), where he leads a research group focused on robotic X-ray computed tomography (RoboCT) and its application in industrial quality assurance. He received his PhD in 2022 from the Friedrich-Alexander University Erlangen-Nürnberg and the Deggendorf Institute of Technology, with a dissertation on artifact reduction using multipositional data fusion and optimized scan trajectories.

His research centers on the development, optimization, and practical deployment of RoboCT systems. Key areas include trajectory planning for twin-robot systems, modeling and reduction of imaging artifacts, mobile CT system design, and the integration of artificial intelligence for automated scan execution and image analysis. One central objective is to enable flexible, high-quality CT scanning of large and geometrically complex components, even in constrained environments or on-site settings.

He has initiated and led over ten publicly funded research projects with a strong focus on RoboCT. These include national and international collaborations on trajectory optimization, artifact reduction, and scan completeness for twin-robot CT systems, as well as the development of AI-assisted planning algorithms, spectral and multipositional CT techniques, and mobile CT systems for on-site inspection. Several projects address industrial use cases such as the inspection of large components in automotive, aerospace, and infrastructure sectors, aiming to make RoboCT more flexible, application-specific, and robust under real-world conditions.

Gabriel Herl has authored more than 20 peer-reviewed publications in journals and international conferences, including IEEE Transactions on Computational Imaging, Physics in Medicine and Biology, and Nondestructive Testing and Evaluation. He is inventor of a European patent on positioning and data fusion for multipositional CT (EP3407299).

His scientific contributions have been recognized with the Dr.-Ing. Siegfried Werth Foundation Award for an outstanding dissertation (2023) and the Ron Halmshaw Award of the British Institute of Non-Destructive Testing for the best publication in Insight (2020).

He teaches undergraduate and graduate courses on industrial CT and applied mathematics and serves as reviewer for journals including Nondestructive Testing and Evaluation, Tomography of Materials and Structures, and Medical Physics.