Fucai Ke
Fucai undertook his PhD in the Faculty of Information Technology at Monash University, focusing on multi-modal monitoring and prediction to improve construction site safety. He is especially interested in energy data, medical data and social data modelling. To improve the health and wellbeing of construction workers, his research applied AI techniques to analyse and integrate data from construction sites. The proposed approach will provide real-time situation-awareness and AI-powered prediction to detect health and safety issues and provide warnings and recommendations.
Fucai is also a research assistant and teaching associate at Monash University. He has a Masters degree from Monash University and a Bachelor’s degree at SCNU. Before working on machine learning and deep learning in Melbourne, he studied physics and had a few years of teaching experience in China.
PhD Start and End Dates
Fucai submitted his thesis for assessment in February 2026. He is a Research Fellow at Monash University.
PUBLICATIONS
- January 2026 – MATA: A trainable hierarchical automaton system for multi-agent visual reasoning
- August 2025 – Explain before you answer: A survey on compositional visual reasoning
- August 2025 – NAVER: A neuro-symbiotic compositional automaton for visual grounding with explicit logic reasoning
- July 2025 – DWIM: Towards tool-aware visual reasoning via discrepancy-aware workflow generation and instruct-masking tuning
- December 2024 – AR-facilitated safety inspection and fall hazard detection on construction sites
- July 2024 – HYDRA: A Hyper Agent for Dynamic Composition Visual Reasoning