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About Me

Xueyi Wang received the B.S. degree in Software Engineering from Changzhou Institute of Technology in 2020, the B.S. degree in Digital Technology (Networks & Communications) from the University of Hertfordshire in 2020, and the M.S. degree in Cybersecurity from Cardiff University in 2021. Currently, he is pursuing the Ph.D. degree at Cardiff University. His research interests include Secure Microgrids, Resilient Microgrids, Cybersecurity, Reliability, and XAI.

Conferences & Workshops

Image and Vision Computing Workshop, Cardiff, UK

Presented poster: "Pcapmage: Anomaly Detection from Visualising Pcap Data in Industrial Control System".

CyberASAP 2025, London, UK

Start up programme: "CipherGrit: Real-time ransomware detection system using transfer-learning".

AI UK 2025, London, UK

Presented poster: "Encrypted Machine Learning Pipeline for Protecting Patient Privacy in Healthcare".

Enterprise System (ES) 2025, Cardiff, UK

Hosting the conference.

EAI BROADNETS 2024, Cardiff, UK

Hosting the conference.

UKRI TAS 2024, Southampton, UK

Start up programme: "Proactive Defense Against Deepfake Misuses Using GAN Fingerprints".

IEEE PES GM 2024, Seatle, USA

Presented Student Contest poster: "Explainable Secured Predictive Power Generation for Resilient Smart Grids".

IEEE ICPHM 2023, Montreal, Canada

Presented Data Challenge paper: "Gear Fault Diagnosis Based on Short-time Fourier Transform and Deep Residual Network under Multiple Operation Conditions".

CyberASAP 2023, London, UK

Start up programme: "HXAI-VDI: Human-centric XAI enabled Vulnerability Detection and Identification in the Internet of Things (IoT)".

IEEE Infocom 2023, Hoboken, USA

Presented poster: "Deep Learning Enabled Keystroke Eavesdropping Attack Over Videoconferencing Platforms".

UbiComp/ISWC 2019, London, UK

Presented paper: Identifying urban villages from city-wide satellite imagery leveraging mask R-CNN

UKCI 2019, Portsmouth, UK

Presented paper: Urban Village Identification from City-Wide Satellite Images Leveraging Mask R-CNN

Published Papers

[1] X. Wang, S. Li, & M A. Rahman. (2024). A comprehensive survey on enabling techniques in secure and resilient smart grids. Electronics. CHECK THIS PAPER
[2] X. Wang, S. Li, & M Iqbal.(2024). Live power generation predictions via AI-driven resilient systems in smart microgrids. IEEE Transactions on Consumer Electronics (TCE). CHECK THIS PAPER
[3] H Shen, X. Wang , L Fu, J Xiong (2023). Gear Fault Diagnosis Based on Short-time Fourier Transform and Deep Residual Network under Multiple Operation Conditions. 2023 IEEE International Conference on Prognostics and Health Management (ICPHM). CHECK THIS PAPER
[4] X. Wang, Y. Liu, & S. Li. (2023). Deep Learning Enabled Keystroke Eavesdropping Attack Over Videoconferencing Platforms. IEEE Infocom 2023. CHECK THIS PAPER
[5] X. Wang, T. Xie, & L. Chen. (2020). Urban Village Identification from City-Wide Satellite Images Leveraging Mask R-CNN. UKCI 2019. CHECK THIS PAPER
[6] X. Wang, T. Xie, L. Chen. & C. Wang (2019). Identifying urban villages from city-wide satellite imagery leveraging mask R-CNN. UbiComp/ISWC 2019. CHECK THIS PAPER