Dr Kate Han
| Biography | Dr. Han holds the position of Lecturer at Salford Business School, where she engages in research that spans scheduling, optimization, ensemble learning, and transportation simulation and optimization. Her work is primarily dedicated to using metaheuristics and evolutionary algorithms for solving real-world optimization problems. She received her PhD in Software Engineering from Queen's University Belfast in the UK in 2018. Her doctoral research focused on the application of hyper heuristics and reinforcement learning for solving timetabling issues. Dr. Han's research contributions have significantly improved job scheduling and timetabling processes and have advanced the modeling and optimization of multi-modal transportation networks. Her academic achievements include contributions to prestigious AI conferences and journals such as GECCO, Eurocast, ACIIDS, and Knowledge-based Systems, showcasing her impact in the field. |
|---|---|
| Research Interests | Simulation and optimization Data analysis and ensemble learning Metaheuristic and hyper heuristic Scheduling and timetabling Transport and urban-regeneration |
| Teaching and Learning | Business Intelligence in Practice Web Application Development Data Analytics and Visualization Prompt Engineering |