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Ming Yang's research focuses on complex engineered systems in energy, chemical, and maritime infrastructures, which are crucial for modern society. His work is increasingly relevant in the context of uncertainty due to energy transition, digitalization, and climate change. Yang specializes in risk-resilience-based design and operation of complex process systems, aiming to enhance traditional safety assessment approaches with dynamic, quantitative risk resilience assessment models. His objective is to make resilience measurable and actionable, supporting engineers and operators in anticipating, withstanding, adapting, and recovering from unexpected events. Leading the Process Resilience Group, Yang develops predictive tools and decision frameworks that empower industries to maintain safe, secure, and efficient operations amidst disruptions. His expertise includes safety evaluation assessments and accident prevention. Yang has received significant recognition, being listed among the top 2% of scientists worldwide in his field by Stanford University.
Delft University of Technology • Delft, Netherlands
Leading the Process Resilience Group, focusing on the development of predictive tools for risk resilience in complex industrial systems.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.