Thomas Dyhre Nielsen

Thomas Dyhre Nielsen is a Professor in the Department of Computer Science at Aalborg University, Faculty of IT and Design. His research centers on artificial intelligence, machine learning, and probabilistic graphical models, with applications in healthcare, environmental systems, and intelligent control. He is affiliated with the Distributed, Embedded and Intelligent Systems group and contributes to the AI for the People initiative.

His research interests include Bayesian networks, decision support systems, data mining, and machine learning. He applies these to domains such as microbial ecology, clinical risk prediction, and smart water systems. His work often bridges theoretical AI with real-world engineering challenges.

His recent publications (2024–2025) show a strong trend in applying explainable and probabilistic AI to healthcare (e.g., urinary tract infection risk prediction) and environmental control (e.g., stormwater management). These works emphasize safety, interpretability, and optimization under uncertainty.

Scientific Awards:

• Best Paper Award (2018)

He has been involved in PhD supervision and has collaborated on major interdisciplinary projects like DarkScience and CLAIRE, focusing on microbial dark matter and urban water control, respectively. His work integrates AI with systems engineering, environmental science, and medicine.

He is associated with research labs and teams including the Distributed, Embedded and Intelligent Systems group at Aalborg University.