Shuanglu Dai
Computer Vision, Machine Learning, R&D
- Role
- Machine Learning Engineer at Atlassian
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Shuanglu Dai
Shuanglu Dai received his Ph.D. degree in Electrical Engineering from Stevens Institute of Technology, Hoboken, NJ, U.S.A. in 2019. He is the recipient of the I&E doctoral fellowship 20••••19, and the Exceptional Research Performance Award in 2019 at Stevens Institute of Technology. He worked as a research intern in Lab, Nokia Bell Labs in 2018. He served as a technical program committee member at WOCC 2016. He also served as a reviewer for T-NNLS, T-CSVT, T-IP and several other journals and conferences. His current research interests include social media sentiment analysis, unsupervised deep metric learning, computer vision, and machine learning, on which he has published 17 journal and conference papers.
Experience
Machine Learning Engineer
Mar 2026 — Present · Seattle, WA, US
Education
Hefei University of Technology
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering
2010 — 2014
Stevens Institute of Technology
Doctor of Philosophy (Ph.D.), Electrical Engineering
2015 — 2020
Stevens Institute of Technology
Master of Science (MS), Electrical Engineering
2014 — 2016
Skills
- Mathematical Modeling
- Signal Processing
- Pattern Recognition
- Matlab
- Computational Modeling
- Algorithms
- Data Analysis
- Feature Space Analysis
- Image Processing
- Deformable Models
- Medical Image Processing
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