Dr Xing Liang | Kingston University London

Dr Xing Liang is a Senior Lecturer in Computer Science and Founder and Head of the Quantum AI (QAI) Research Group. She is also a Royal Academy of Engineering (RAEng) Leverhulme Trust Research Fellow (2026–2027) and an RAEng Academic Champion (2024–2027).

Her research focuses on hybrid quantum–classical machine learning, quantum-inspired AI, and classical artificial intelligence, with an emphasis on developing practical solutions to complex real-world problems.

Her current research interests include quantum machine learning for financial time-series forecasting, sustainable energy optimisation and intelligent security; cyber-physical systems security, including intrusion detection, anomaly detection and zero-trust architectures; social media security, including fake news, deepfake detection and information trustworthiness; and AI for healthcare, particularly computer vision-based dementia assessment and medical diagnosis.

Her broader interests include computer vision, sign-language recognition, object detection, Internet of Things, heterogeneous networks, e-commerce fraud detection, and AI-assisted thermal system modelling. Over the past 15 years, she has contributed to a range of EU- and UK-funded research projects, including H2020 ENSURESEC, H2020 EUNOMIA, EPSRC COMCORD, IST FIFTH, IST SatNEx, and the Dunhill Medical Trust-funded ATDA-BSL project.