Dong Huang
CO-FOUNDER&CHIEF Scientist at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolDong Huang is a machine learning and computer vision leader with nine years of experience translating academic research into commercial products that improve safety, health, and human well-being. As Co-Founder and Chief Scientist at CurvePoint and a long-tenured research scientist at Carnegie Mellon University, he specializes in human sensing and time-series analysis from multimodal wearable and vision sensors, applying techniques to driver monitoring, remote health diagnostics, and privacy-preserving video analytics. His work bridges deep technical rigor—PhD-trained signal and vision expertise—with practical deployments in mobile, automotive, and smart-home systems. Notably, he pioneers wireless-sensing spatial intelligence and ECG/accelerometer-based fatigue and cardiac pattern detection, demonstrating an uncommon focus on measurable, real-world impact. Based in Pittsburgh, he combines academic leadership with startup execution to move novel sensing technologies from lab prototypes to safety-critical applications.
9 years of coding experience
9 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of Electronic Science and Technology of China
Github Skills (14)
elmo5
nlp4
korean-nlp3
seq2seq2
natural-language-processing2
bert2
transformer2
data-set1
pytorch1
gpt1
deep-learning1
image-processing1
seed1
pipeline1
Programming languages (2)
Github contributions (5)
meraks/Swin-Transformer-1D
Aug 2022 - Oct 2022
Contributions:25 commits, 25 pushes, 1 branch in 2 months
meraks/img_pipe
Aug 2021 - Aug 2022
Image processing pipeline for ECoG data
Contributions:1 push in 1 year
processing-pipelineimage-processingecogpipeline
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