Dr Xing Liang

Faculty of Engineering, Computing and the Environment
Department of Networks and Digital Media
School of Computer Science and Mathematics
Penrhyn Road
Cyber, Engineering and Digital Technologies

Senior Lecturer in Computer Science, RAEng Leverhulme Trust Research Fellow (2026-2027)

[email protected]

About

I am a senior lecturer in Computer Science, Head and Founder of the Quantum AI (QAI) Research Group in the Department of Networks and Digital Media, School of Computer Science and Mathematics. I received the PhD degree in mobile satellite communications from the University of Bradford, UK. Over the past 15 years, I have been involved in multiple EU and UK research projects: H2020 ENSURESEC, H2020 EUNOMIA, EPSRC COMCORD, IST FIFTH, IST SatNEx, and Dunhill Medical Trust funded ATDA-BSL, and several industrial related research projects.

My commitment to academic excellence extends to serving as Lead Guest Editor for Electronics | Special Issue: Advances in Quantum Machine Learning, Editorial Board Member of Scientific Reports, Journal of Artificial Intelligence, Virtual Reality, and Human-Centered Computing, and reviewer for prestigious journals such as Quantum Machine Intelligence, Applied Soft Computing, Journal of Grid Computing, Journal of Pattern Analysis and Applications, IEEE Access. I also serve as a Member of the Royal Society Research Grants Committee, EPSRC Peer Review College.

My research mainly focuses on developing and applying hybrid quantum–classical machine learning, quantum-inspired AI algorithms, and classical AI to address complex real-world challenges in:

Quantum Machine Learning: finance time series forecasting, sustainable energy optimisation, intelligent security systems, social media security.
Cyber-physical system security: intrusion detection, anomaly detection, zero trust
Social media security: fake news detection, deepfakes, information trustworthiness
Healthcare: early stage dementia diagnosis for BSL users with computer vision, AI for medical diagnosis
Others: AI-assisted thermal system modelling, tracking/recognising gestures in sign languages, object detection, Internet of Things, heterogeneous networks, ecommerce fraud detection

Qualifications

PhD Mobile Satellite Communication Networks, University of Bradford, UK
MSc (Distinction) Radio Frequency Communications Engineering, University of Bradford, UK
BEng (First Hons) Electronics & Electrical Engineering, Heilongjiang University, China & University of Bradford, UK

Domains

External examining

March 2026, PhD Viva Committee Member, four doctoral defenses in the Doctorate in Physics and Astronomy, University of Florence, Italy
March 2026, PhD External Examiner, Thesis Title: "Using Deep Learning methods for Sentiment Extraction from Image-encoded Text", University of Hertfordshire, UK
January 2026, PhD External Examiner, Thesis Title: "Quantum Machine Learning: From Theoretical Foundations to Real-World Applications", University of Florence, Italy
June 2025, MSc External Examiner, Thesis Title: "Optimised Reservoir Computing for Temporal Signal Classification in LiDAR", University of Kent, UK
December 2024, PhD External Examiner, Thesis Title: "Quantum Machine Learning for Neutral-Atom Quantum Processors", University of Florence, Italy
July 2024, PhD External Examiner, Thesis Title: "Developing optimization models for customer churn prediction in telecoms using artificial intelligence techniques", University of Hertfordshire, UK
May 2023, PhD External Examiner, Thesis Title: "Developing a Novel Framework based on Deep Learning Techniques for Diagnosis of Nonerosive Reflux Disease", King's College London, UK

Internal examining

April 2024, PhD Internal Examiner, Thesis Title: "Neural Face Reenactment with Pre-trained Generative Models ", Kingston University London, UK
October 2023, PhD Internal Examiner, Thesis Title: "Signalling for Cyber Threat Intelligence Using Cryptographic Protocols", Kingston University London, UK
June 2023, PhD Internal Examiner, Thesis Title: "Security and Reliability for Future Multi-Hop Wireless Networks", Kingston University London, UK

Scholarly affiliations and professional service

Professional memberships

Senior Member, IEEE
Member, The Women's Engineering Society (WES) (2023-Present)

Research and peer-review service

Member, Royal Society Research Grants Committee
Member, EPSRC Peer Review College

Editorial service

Editorial Board Member, Scientific Reports
Lead Guest Editor, Electronics | Special Issue: Advances in Quantum Machine Learning

Conference leadership and service

Organizing Committee Member (OCM), International Conference on Quantum Computing & Quantum Technology, 2026
Plenary Speaker and Scientific Committee member, International Conference on Artificial Intelligence, Machine Learning and Robotics, 2026
TPC Member, 7th International Conference on Computer Vision and Computational Intelligence (CVCI 2026)
TPC Member, 6th International Conference on Computer Vision and Data Mining（ICCVDM 2025)
TPC Member, 7th International Conference on Physics, Mathematics and Statistics (ICPMS 2024)
TPC Member, 6th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2023)

Publications

Numerical study on cooling performance and structural optimization of a phase change cold storage assisted air conditioning system for data centers

Yang, Zhangqin, Zhang, Zujing, Zhou, Jiri, Yi, Xiaoyan, Liang, Xing, Wu, Hongwei and Mao, Ruiyong, 2026, Journal of Energy Storage (179), A, E-pub ahead of print

Dr Xing Liang

About

Qualifications

Domains

Teaching and learning

Research

Professional practice, knowledge exchange and impact

Leadership and management

Publications

Articles

Book Sections/Chapters

Conference Items

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