معرفی
Yu Fu is a Group Leader at the Singapore Bioimaging Consortium (SBC), part of A*STAR. He holds a PhD in Neuroscience from Stony Brook University and conducted postdoctoral research at the University of California San Francisco, focusing on neuroimaging techniques in behaving mice. In 2014, he was awarded the A*STAR Investigatorship and established his lab at SBC in 2015. His primary research investigates neural mechanisms of metabolic regulation, particularly feeding behavior. Additionally, his work spans structural engineering and civil infrastructure, leveraging machine learning for predictive modeling and real-time monitoring systems.
Education:
- PhD in Neuroscience, Stony Brook University
- Postdoctoral Training, University of California San Francisco
Research interests include interdisciplinary applications of AI in bioimaging, structural health monitoring, and extraterrestrial habitat simulations. Key contributions include edge intelligence systems for infrastructure assessment and modular virtual testbeds for space habitats. His work bridges neuroscience and engineering through innovative data-driven methodologies.
Notable Achievements:
- A*STAR Investigatorship (2014)
- Pioneered GABAergic neuron imaging techniques in mouse visual cortex
- Developed xImpact and xShake systems for infrastructure monitoring
His lab’s research integrates neural mechanisms with advanced engineering solutions, addressing challenges in both biological systems and built environments. Current projects focus on metabolic regulation pathways and AI-driven infrastructure resilience strategies.
