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 (12)
wearables8
data-repository7
discovery7
garmin6
bioinformatics6
dtw4
pipeline4
signal-processing4
preprocessing4
django1
nutrition1
python1
Programming languages (3)
Github contributions (5)
YihangJiang/rPPG-Toolbox
Aug 2024 - Feb 2026
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
Contributions:37 pushes, 1 branch in 1 year 5 months
Topny479/datastructure
Nov 2017 - Oct 2018
Contributions:5 pushes, 1 branch in 11 months
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