معرفی
Dr. Haixia Liu serves as a Senior Lecturer in Computer Science at the University of the West of England, Faculty of Engineering and Technology, Department of Computer Science and Creative Technology. She is also the Deputy Programme Leader for Undergraduate Computer Science (2022/2023) and holds a Vice-Chancellor's Early Career Researcher Development Award (2023-2025). Prior to her academic career, she worked in industry as a Machine Learning Engineer and Software Engineer.
Dr. Liu holds a BSc, MSc, and PhD in Computer Science, with additional qualifications including FHEA (Fellow of the Higher Education Academy) and PGCert. Her educational background focused on automatic idea generation and analysis using NLP and Machine Learning techniques.
Her research spans multiple domains within Artificial Intelligence, with particular expertise in Machine Learning, Computational Creativity, Natural Language Processing, and Computer Vision. Dr. Liu's work combines theoretical exploration with practical applications across diverse fields including medical imaging, idea mining, and novel idea computation. Her research demonstrates strong interdisciplinary connections between computer science and real-world problem solving.
Analysis of Dr. Liu's publication record reveals consistent contributions to neural network architecture, image classification, and computational creativity. Her recent work shows increasing focus on medical applications of AI and systematic approaches to understanding machine learning in complex systems like anaerobic digestion. The trajectory of her publications demonstrates both depth in core AI techniques and breadth across application domains.
- Fellow of Higher Education Academy (FHEA)
- Vice-Chancellor's Early Career Researcher Development Award 2023-2025
Dr. Liu leads the Machine Learning Algorithms module in the MSc AI Programme and supervises a diverse range of student projects at undergraduate, master's, and PhD levels across Computer Science, Business Computing & Software Engineering, and Data Science. She has taught numerous modules including Business Intelligence and Data Visualization, Biocomputation, Intelligent Systems, and Computer Systems Architecture, demonstrating both depth and breadth in her teaching expertise.
Her work connects with multiple research centers including the Big Data Enterprise and Artificial Intelligence Laboratory and the Centre for Machine Vision at UWE Bristol, contributing to the university's strategic focus on AI and data science applications.
