Dietmar Schabus

Dietmar Schabus serves as a PartTime Lecturer at the University of Applied Sciences Technikum Wien, teaching machine learning courses while maintaining his primary role at Wiener Stadtwerke since 2018. At Wiener Stadtwerke, he leads data science initiatives in the IT strategy department, implementing AI solutions for mobility, energy, and infrastructure systems, and oversees corporate cooperation with IEEE on AI ethics frameworks.

His academic credentials include:

• Computer Science degree from TU Wien
• PhD from TU Graz (dissertation: statistical speech modeling)

Prior industry experience comprises ten years of scientific research at:

• Austrian Research Institute for Artificial Intelligence (OFAI)
• Research Center for Telecommunications Vienna (FTW)

Research expertise spans:

• Artificial Intelligence applications in critical infrastructure
• Machine Learning for urban mobility systems
• Data Science in energy grid optimization
• Statistical speech modeling from doctoral work
• AI ethics implementation frameworks

No scientific awards, student advisement records, or research grants are documented in the source material. Laboratory affiliations or research team leadership are not specified.