Christoph-Alexander Holst

Christoph-Alexander Holst, M.Sc., is a researcher group leader at the Institute Industrial IT (inIT) at Ostwestfalen-Lippe University of Applied Sciences (TH OWL) and a Ph.D. candidate at Brandenburg University of Technology Cottbus-Senftenberg. His work focuses on information fusion, machine learning, and AI for resource-constrained systems, particularly in automation technology.

• PhD in Computer Engineering (ongoing, 2021–present)
• Executive Board Member of inIT (2020–present)
• Research Group Leader at inIT (2020–present)
• Master’s Degree in Information Technology (2014–2017)

His research explores challenges in data scarcity, adversarial robustness for industrial systems, and AI-based mobile applications (e.g., Parkinson Network OWL+). Recent publications highlight his contributions to possibilistic fusion frameworks, sensor redundancy metrics, and robust machine learning strategies.

He serves on organizing committees for IEEE ETFA and BVAu Bildverarbeitung in der Automation conferences, and as a reviewer for IEEE journals and conferences like INDIN and ICDL. His professional activities emphasize real-time image processing, sensor fusion, and sustainable AI in automation contexts.