Guodong Wang

Dr. Guodong Wang is a researcher affiliated with the Forschungsbereich Cyber-Physical Systems at TU Wien. His work focuses on machine learning applications in industrial data processing, fault diagnosis, and health monitoring systems. He has collaborated extensively with Prof. Radu Grosu and other researchers on projects involving neural networks, Bayesian methods, and sensor data analysis.

• Education:
  • PhD in Technical Sciences (Dr.techn.)
  • MSc in Engineering

His research interests bridge theoretical machine learning with practical industrial challenges, including:

• Development of generative neural network models for quality prediction in manufacturing
• Fault prognostics for semiconductor and marine machinery systems
• Integration of Bayesian networks and evidential reasoning for multi-sensor data fusion

Key contributions include:

• Proposing the ZIZO algorithm for Echo-State Networks optimization
• Advancing wear condition prediction in milling tools
• Creating machine learning frameworks for cyber-physical systems diagnostics

His work often addresses real-world applications in manufacturing, marine engineering, and medical diagnostics.