Dr Kate Han
| Biography | 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 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 .Her work mainly contributes to the simulation and optimization of multi-modal transportation networks research area. 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 prestigious journals such as Knowledge-Based Systems and IEEE Transactions on Intelligent Transportation Systems, highlighting her significant contributions to the field. |
|---|---|
| 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 |