Josef Suschnigg is specializing in visual analytics, industrial data science, condition monitoring and predictive maintenance. His work focuses on developing visual analytics solutions that support engineers in data-driven decision-making, with particular expertise in scalable condition monitoring systems for industrial applications.

He holds a PhD in Computer Science from Graz University of Technology, with his dissertation focused on visual analytics for data-driven decision.