Dr Kate Han, a Lecturer here at Salford Business School, recently presented her research at the prestigious IEEE World Congress on Computational Intelligence (WCCI) in Yokohama, Japan. This conference serves as a premier platform for researchers and industry professionals worldwide to share insights, discuss trends, and explore future directions in evolutionary computation and artificial intelligence (AI).
Kate contributed two papers to the conference, focusing on machine learning and evolutionary algorithms. Her research addresses challenges in applying machine learning approaches to solve real-world problems, introducing methods to enhance algorithm efficiency and adaptability. These advancements significantly bridge the gap between theory and application in AI related research.
The conference provided Kate with valuable networking opportunities, paving the way for potential collaborations with international researchers and industry partners. Her participation underscores Salford Business School’s commitment to cutting-edge AI research and its applications in business and industry.
Building on this research, Kate and her team plan to further explore metaheuristics, evolutionary algorithms, machine learning, improve routing and scheduling processes, and optimise transportation network design. This ongoing work aims to validate the robustness and scalability of their methods across various industries.
Overall, Kate was honoured to present her innovative research on machine learning and evolutionary algorithms at IEEE WCCI 2024. Her contributions highlight significant advancements in machine learning applications across various industries.
Through her academic role, Kate aims to foster collaboration and drive further innovation in AI research. She looks forward to continuing her work in optimising complex systems and enhancing decision-making processes using various AI approaches.