Shengfeng Huang
Ph.D. | Tunnelling| Geotechnical Engineering | Machine Learning Application
- Role
- Tunnel Engineer at Mott MacDonald
- Location
- Hoboken, NJ, US
- LinkedIn followers
- 500 followers
About Shengfeng Huang
I have a specialization in geotechnical engineering, focusing on predicting Tunnel Boring Machine (TBM) performance through the application of various machine learning techniques. My expertise encompasses ML model generalization, incremental learning, generative models, and interpretable ML. Additionally, I have a keen interest in diverse techniques such as uncertainty quantification, reinforcement learning, causal inference, anomaly detection, and Bayesian methods.In the realm of research, my work extends to areas like Decision Aids for Tunnelling, involving cost and time estimation. I also delve into topics like slope stability, deep excavation, and crack propagation. I am open to collaborations and welcome opportunities to work with others in related fields. Connect with me on LinkedIn to explore potential collaborations and discussions on these fascinating subjects.
Experience
Tunnel Engineer
Jun 2025 — Present · NY, US
Education
Fuzhou University
Master of Engineering - MEng, Geological Engineering
Stevens Institute of Technology
Doctor of Philosophy - PhD, Civil Engineering
2025
Fuzhou University
Bachelor of Engineering - BE, Geological Engineering
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.