Shengjun Zhang
Faculty Lecturer at Hubei University
Wuhan, Hubei, China
Summary
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Senior🎓
Top SchoolShengjun Zhang is a Faculty Lecturer and Ph.D. candidate at the University of North Texas with a decade of experience at the intersection of statistical learning, electrical engineering, and applied research. He has blended academic roles at Manchester Metropolitan University and Hubei University with industry and national-lab experience—from product management at United Imaging Healthcare to research at Pacific Northwest National Laboratory—bridging theory and product-focused development. His research trajectory includes sparse Bayesian learning, distributed optimization, and nonlinear system modeling, informed by visits to Huazhong University of Science and Technology and prior work at NYU. Comfortable moving between academia and industry, he brings practical insight into translating statistical learning advances into real-world systems. Based in Wuhan, he combines international training with hands-on project leadership, making him effective at supervising students and collaborating across multidisciplinary teams.
10 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Electrical and Electronics Engineering, Master of Science (M.S.), Electrical and Electronics Engineering at New York UniversityBachelor's degree, Automation of Honors Program, Bachelor's degree, Automation of Honors Program at China Agricultural UniversityDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University of North Texas
Chinese, English, ChineseProgramming languages (1)
Github contributions (5)
ShengjunZhang/ShengjunZhang.github.io
Apr 2018 - Nov 2022
Contributions:443 commits, 4 PRs, 431 pushes in 4 years 8 months
ShengjunZhang/EENG-5620-Statistical-Signal-Processing
Oct 2018 - Jun 2020
Contributions:17 pushes, 1 branch in 1 year 8 months
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