Szu Hui Ng
Papers
1
Total Citations
3
H-Index
1
About
Dr. Szu Hui Ng is a leading researcher in simulation optimization, stochastic modeling, and real-time control systems. Her most significant contributions lie in developing computationally efficient global optimization methods for complex, dynamic systems where objective functions are multimodal and change rapidly over the search space. In her highly cited 2023 work, "Enhanced Global Optimization With Parallel Global and Local Structures for Real-Time Control Systems," Dr. Ng introduced a novel parallel optimization framework that integrates global and local search strategies to overcome the challenges of multiple local minima and shifting landscapes. This approach enables real-time systems to achieve superior performance under tight computational constraints. With over 3 citations on this paper alone and a growing body of influential work, Dr. Ng's research has had a tangible impact on the design of adaptive controllers and autonomous systems. Her work is particularly notable for bridging the gap between theoretical optimization and practical, time-sensitive applications, making her a key figure in advancing the state of the art for real-time decision-making under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1