Yaxin Bi

Yaxin Bi is a Professor in the School of Computing at Ulster University and a core member of the Artificial Intelligence Research Centre, with over thirty years of research experience in AI applications. His work bridges theoretical advances in machine learning with real-world problem-solving across diverse domains.

His educational background includes a BSc (Hons) in Computing Science, an MSc by research in Computing Application, and a PhD in Text Categorization with ensemble learning approaches. These qualifications established the foundation for his pioneering work in evidence theory and classifier systems.

Professor Bi's research centers on machine learning and ensemble learning integrated with Dempster-Shafer theory of evidence, focusing on developing robust data analytics methods for decision-making under uncertainty. Key application areas include satellite data anomaly detection, manufacturing process optimization, energy systems analysis, agricultural monitoring through crop classification and disease detection, digital twin development, sentiment analysis, and multi-sensor activity recognition. His methodology emphasizes practical implementation of theoretical frameworks to address complex real-world challenges.

Analysis of recent publications (2024-2025) reveals a strategic focus on high-impact applications of AI in critical infrastructure and environmental monitoring. Key trends include the convergence of deep learning (LSTM, GAN) with evidence theory for seismic prediction, optimization of industrial manufacturing processes, and advancement of information retrieval systems. These works consistently address uncertainty quantification and demonstrate cross-domain applicability from semiconductor fabrication to disaster response.

His scientific recognition includes:

• Senior Fellow of the Higher Education Academy, UK

Professor Bi has secured over £5 million in competitive research funding from major international bodies including the European Space Agency, EU Frameworks and Horizon 2020 programs, Knowledge Transfer Partnership, Invest NI, and the Royal Society. He actively shapes the academic community through editorial roles as Associate Editor for the International Journal of Intelligent Systems and editorial board membership for Real-World Data Science (Royal Statistical Society), alongside steering committee positions for KSEM and SAI conferences. His consultancy projects demonstrate direct industry translation of research.

As a core member of Ulster University's Artificial Intelligence Research Centre, he leads initiatives in satellite data analytics, digital twin development, and AI-driven solutions for sustainable development goals, directing current projects including Electromagnetism Anomaly Detection and Seismic Deformation Monitoring through generative AI approaches.