Dr. Kate Han is a Lecturer at Salford Business School, where she extends her research to include Innovative Teaching and Learning, sustainability, and operational research. Her primary research interests focus on data science, automation, scheduling, ensemble learning, and transportation simulation and optimization. Dr. Han specializes in applying metaheuristics and AI algorithms to solve complex, real-world optimization challenges. She has extensive experience working with data of different scales across various real world projects, collaborating with stakeholders ranging from government authorities to industry partners.
Dr. Han received her Ph.D. in Software Engineering from Queen's University Belfast in 2018. Her doctoral research focused on utilizing hyper-heuristics and reinforcement learning to address timetabling and scheduling problems. She has presented her research at leading AI conferences, including IEEE CEC, GECCO, Eurocast, and ACIIDS, and has published in top SJR journals such as Knowledge-Based Systems and IEEE Transactions on Intelligent Transportation Systems.
Research Interests
Simulation and optimization
Data analysis and machine learning
Metaheuristic and hyper heuristic
Scheduling and timetabling
Transport and urban-regeneration
Innovative Teaching and Learning
Teaching and Learning
Business Intelligence in Practice
Web Application Development
Future of Business
Mobile App Development
Prompt Engineering for Business
AI in Practice
Business Data Information Analytics
