李 Binxiong

Examined how AI reshapes workforce skill requirements in HK health retail, using GNC Hong Kong as case study with WEF Future of Jobs Report 2025 data.

Built supervised learning models to detect email phishing attacks; responsible for threat analysis, EDA visualisation, and multi-metric model evaluation.

Developed XGBoost intrusion detection (99.94% accuracy, 0.05% FPR) with SHAP explainability on CICIDS-2017 dataset for interpretable SOC alerting.

Analysed the DeepMind NHS data privacy controversy using Floridi AI4People framework and ICO guidelines; identified ethical violations across all five principles.

Critically compared traditional IS audit vs AI-adapted audit (HKSA 315); conducted independent audit of AI chatbot system covering ITGC, ITAC, and AI-specific controls.

Designed an AI-driven unmanned retail solution for campus scenarios, including market research, business model design, and cost-benefit analysis, and delivered a complete business plan.

Conducted case studies on Pfizer’s pharmaceutical traceability system and LVMH’s AURA anti-counterfeiting platform, analyzing the implementation path and value of blockchain technology in sustainable development scenarios.