Dr Kate Han

Salford Business School

Photo of Dr Kate Han

Known as

Kate Han

Contact Details

Current positions



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.

Areas of Research

Simulation and optimization
Data analysis and ensemble learning
Metaheuristic and hyper heuristic
Scheduling and timetabling
Transport and urban-regeneration


Business Intelligence in Practice
Web Application Development
Data Analytics and Visualization
Prompt Engineering