Research

• Gaze Estimation on Handheld Mobile Devices

  • Eye-Tracking Continous Calibration on Mobile

  • Gaze-Based Interaction

  • Context Awareness by Sensors

• Eye-Movement as Biometrics

  • Biometrics

  • Deepfake detection

• Privacy and Security for Handheld Mobile Devices

• UKRI BBSRC, Eye Movement for Mental Fatigue Project, Total $1.6M funding

  • June 2025 - Present

  • Role: Research Fellow for eye movement analysis and computer vision research

• UKRI AI Research Resource Isambard-AI GPU Supercomputer 

  • Oct 2025 - Jan 2026

  • Resources: 10,000 GPUhs

  • Role: PI

• Innovate UK CyberASAP Funding

  • April 2024 - Jan 2025 

  • Innovate UK-sponsored Cyber Security Academic Startup Accelerator Programme (CyberASAP) 

  • Total funding of £120,000 awarded.

  • Role: PI

Gaze Estimation for Unconstrained Eye Tracking on Handheld Mobile Deivces / Any Surface

• Deep learning model-driven Eye-Tracking System on iOS &  Android, Done

• Exploring Robust Gaze Interaction Methods in Mobile, Done

• Exploring the Factor which impact on gaze estimation / eye tracking on Mobile, Done, under peer review

• TensorFlow Lite / PyTorch version Gaze estimation library, Done, waiting for submit/open-source (under IP checking)

• Solve dynamic impacts of Eye Tracking by: 

  • A new gaze estimation dataset with sensor data, Done, private source

  • A new continue-learning based calibration approach for in-the-wild, Done, under peer review

• A Multi-model gaze estimation model project, Done

Gaze for Security & Privacy

• Gaze and HAR in camera-based devices, Done, under peer review

• A Security and Privacy, Done, under peer review

• Social Gaze for Privacy, Done (conduct interview with expert and general public)

• Now exploring eye movement for Cybersecurity, Funded by Innovate UK

  • Project 1 done

  • Project 2 done

  • Project 3 done

    • Our method perform top on benchamrks

  • Project 4 done

    • Our method perform top on benchamrks

  • Project 5 on-going

  • Project 6 on-going