Hanwen Ju is a Ph.D. candidate and Graduate Teaching Assistant at Virginia Tech with 11 years of experience bridging civil engineering and computation. He has a strong research background in structural health monitoring, deep learning, and signal processing from his MPhil and research roles in Beijing, and now focuses on autonomous assembly and AR-enhanced remote construction. At Virginia Tech he teaches IT in Design and Construction, applying tools like Revit to real-world design projects while advancing computer vision models for structural damage detection. His work uniquely combines hands-on construction workflows with cutting-edge AI to make remote, autonomous construction both practical and safer.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Environmental Design and Planning, Doctor of Philosophy - PhD, Environmental Design and Planning at Virginia Tech
Master of Philosophy - MPhil, Civil Engineering, Master of Philosophy - MPhil, Civil Engineering at Beijing University of Civil Engineering and Architecture
Contributions:32 commits, 24 pushes, 1 branch in 1 year
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