Key research themes
1. How can performance measurement systems be effectively designed to capture multi-dimensional organizational performance and avoid dysfunctional outcomes?
This theme addresses the challenge of designing performance measurement systems that move beyond traditional narrow, cost-focused metrics toward balanced, multi-dimensional frameworks that accurately reflect organizational goals and stimulate desired behaviors. It focuses on the methodological development of structured approaches, indicator theory, and system design frameworks to ensure relevance, robustness, and alignment with strategic objectives, while minimizing dysfunctional consequences caused by poorly conceived measures.
2. What methods enable performance-based design and optimization of complex systems under uncertainty with computational efficiency?
This theme explores computational and modeling techniques that support performance-based design for complex engineered systems, especially when subject to stochastic variability and large-scale parameter spaces. It emphasizes methods for performance prediction, system decomposition, statistical real-time constraints, surrogate modeling, and simulation acceleration (e.g., FPGA acceleration), to enable efficient and accurate design space exploration and optimization under uncertainty.
3. How can performance-based design principles be applied experimentally and computationally to optimize structural and architectural systems?
This theme covers the integration of performance-based design principles into the physical and computational testing of architectural and structural systems, including experimental validation, parametric and generative design frameworks, and performance evaluation of fire safety and dynamic behaviors. It focuses on blending simulation, modeling, and design optimization with real-world experimental insights to refine and validate design approaches.