Julian Elias Reiser

Dr. Julian Elias Reiser is a Research Fellow in the Experimental Ergonomics and Stress & Work Design group at the Leibniz Research Centre for Working Environment and Human Factors (IfADo), affiliated with TU Dortmund University. His work focuses on applying mobile neuroimaging techniques, particularly EEG, to assess cognitive workload and human performance in real-world settings such as driving and walking.

His educational background includes:

• PhD in Psychology (2020) from TU Dortmund University, with a thesis titled "Neuroergonomics in the wild - Workload assessment using mobile EEG"
• M.Sc. Psychology from the University of Ulm (2016)
• B.Sc. Business Psychology from Leuphana University Lüneburg (2014)

Dr. Reiser's research interests lie at the intersection of neuroscience and human factors. He investigates how cognitive processes unfold during complex tasks in natural environments, using mobile EEG and eye-tracking to measure workload, attention, and operator state. His work aims to improve human-machine interaction and workplace design by providing objective neurophysiological measures of mental effort.

His recent publications (2023-2025) highlight a strong emphasis on real-world applications of neuroergonomics. Key themes include the use of eye blink-related potentials as indicators of cognitive load, the impact of automation on driver attention, and the development of signal processing methods for decoding brain activity in dynamic settings. His research spans transportation, occupational health, and human-computer interaction.

No scientific awards are listed in the available information.

There is no information provided regarding students advised or research grants obtained.

Dr. Reiser is part of the Experimental Ergonomics team led by Prof. Dr. Edmund Wascher within the Ergonomics department at IfADo. The team conducts cutting-edge research on human factors in various work contexts, with a focus on developing and applying neuroergonomic methods to assess and enhance human performance in real-world environments.