Yihang Jiang
Retired at Duke University
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolYihang Jiang is a multidisciplinary PhD candidate in engineering at Duke University with eight years of experience applying deep learning, anomaly detection, time-series algorithms, and signal processing to real-world sensor data. He developed EventDTW, a novel alignment method that cut time-series alignment errors by 60% on the UCR benchmark, and enhanced real-time video-based heart rate estimation using convolutional attention networks. His work spans Health AI and wearable sensor fairness, including a data-driven evaluation of pulse oximetry across skin tones and a systematic review of time-series classification in biomedical settings. Equally comfortable teaching algorithms and mentoring students, he pairs rigorous research with practical pipeline engineering for clinical and IoT applications. An unusual combination of AR-driven attention models and hands-on statistical analysis highlights his ability to bridge cutting-edge ML methods with careful experimental validation.
8 years of coding experience
Doctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at Duke UniversityBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Huazhong University of Science and Technology
Github Skills (19)
wearables8
sample-data8
census7
health7
garmin7
health-data6
open-data6
bioinformatics6
dtw6
data-repository6
pipeline5
discovery5
sustainability5
signal-processing5
hpc-applications4
Programming languages (2)
Github contributions (5)
Topny479/datastructure
Nov 2017 - Oct 2018
Contributions:5 pushes, 1 branch in 11 months
Topny479/seedcup
Nov 2017 - Nov 2018
Contributions:2 pushes, 1 branch in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.