Dr. Kate Han
Salford Business School
Lecturer in Salford Business School
Dr Han is a Lecturer in the Salford Business School and her research interests have included scheduling, optimization and ensemble learning.
In particular, her research is mainly focused on using metaheuristics, evolutionary algorithms for modelling and provide solutions for real-world optimization problems.
Dr Han was awarded a PhD in Software Engineering in 2018 from the Queen's University Belfast in UK with a research topic focused on using hyper heuristics and reinforcement learning to solve timetabling problems.
Over the years, Dr Han's research has been applied on several for improving job scheduling and timetabling processes, modelling and optimising multi-modal transport networks. Apart from that, she has also work She has published articles in leading AI conferences and journals including: GECCO, Eurocast, ACIIDS and Knowledge-based systems.
Areas of supervision
Scheduling and timetabling, simulation and optimization, data analysis and ensemble learning
- Web Application Development
- Business Intelligence in Practice
- Simulation and optimization
- Data analysis and ensemble learning
- Metaheuristic and hyper heuristic
- Scheduling and timetabling
- 2014 - 2018, PhD, EEECS, Queen's University Belfast,
- 2012 - 2014, MSc, the University of York
- 2008 - 2012, BSc (with Distinction), Nanjing Forestry University