Michael Haslgrübler pairs expertise in human-machine interaction, Internet of Things (IoT), sensor-based technologies, and machine learning.
His research focuses on perception technologies for humans and machines in industrial settings and beyond. This is achieved through the use of wearable and infrastructure sensors, advanced machine learning methods often running on embedded systems, and real-time system actuation.

He completed the Doctoral Program in Engineering Sciences (equivalent to a PhD in Computer Science) at Johannes Kepler University (JKU) Linz, where he specialized in Skill Sensing and Activity Analysis in industrial production environments. He is dedicated to advancing digital solutions that optimize human-technical collaboration and efficiency.