Wenjian Huang
Graduate Research Assistant
San Antonio, Texas, United States
Summary
👤
Senior🎓
Top SchoolWenjian Huang is a PhD candidate in Electrical Engineering and a Graduate Research Assistant at UT San Antonio with 10 years of technical experience bridging theoretical research and real-world systems. His current research targets AI-generated content—developing methods to detect synthetic images and remove NSFW content—while also proposing a machine-learning framework for encrypted file detection with a manuscript under review. He has a strong track record applying ML and deep learning to diverse domains, from single-cell RNA-Seq analysis for COVID-19 severity prediction to robotics integration using YOLOv3 for real-time perception. As a teaching assistant he designed and delivered extensive coursework in signals, systems, and control, demonstrating both technical depth and clear communication skills. Based in San Antonio, he combines rigorous academic performance (MS and ongoing PhD with near-perfect grades) with practical system-building experience that emphasizes security and privacy in digital environments. An uncommon thread across his work is applying advanced ML methods to safety-critical and forensics-oriented problems, making his research directly relevant to law enforcement and online trust.
10 years of coding experience
2 years of employment as a software developer
University of Texas at San AntonioBrandeis High School
Chinese, Chinese, English
Github Skills (166)
gbm10
xgboost10
parallel10
dataflow10
python10
expressions10
language-server-protocol10
historical10
deep-learning10
meter10
portable10
python-development10
qt10
r10
statistics10
Programming languages (4)
Github contributions (5)
fayeshine/spark
Nov 2015 - Nov 2015
Contributions:5 pushes, 2 branches in 6 days
apachebig-datasparkscalaapache-spark
fayeshine/HB_GoodBad
Dec 2015 - Jan 2016
Contributions:11 pushes, 1 branch in 6 days
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