Dong Wang
University Project Assistant at Technische Universität Graz
Graz, Styria, Austria
Summary
👤
Senior🎓
Top SchoolDong Wang is a machine learning and computer vision researcher and engineer with 11 years of experience, currently a University Project Assistant and PhD candidate at TU Graz. He specializes in efficient ML, model compression, and object detection, with recent work focused on traffic anomaly detection and sparse, lightweight models for embedded deployments. Dong has industrial experience from Ericsson—where he built low-latency monocular positioning and integrated pose estimation into detection pipelines—and co-founded a machine-vision startup that produced IoT security products and three patent filings. He combines academic rigor (MSc Uppsala, PhD TU Graz) with hands-on production skills like TensorRT optimization and Docker deployment, making him adept at moving research into real-world systems. A lesser-known strength is his track record in multi-tag positioning algorithms and practical model-sparsity techniques that reduce latency on constrained hardware.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Technische Universität GrazBachelor of Engineering - BE, Internet of Things Engineering, GPA：3.3/4, Bachelor of Engineering - BE, Internet of Things Engineering, GPA：3.3/4 at Xi'an University of Science and TechnologyMaster's degree, Computer Science, Master's degree, Computer Science at Uppsala University
English, Chinese
Github Skills (53)
prediction-model10
autoencoder10
delicious10
self-organizing-map10
computer-vision9
image-processing9
classification9
tensorrt9
nvidia9
forecast8
opencv8
deep-learning8
latency8
sdk8
inference8
Programming languages (7)
Github contributions (5)
nanguoyu/OpenFlight
Apr 2020 - Aug 2021
Contributions:4 commits, 2 pushes, 1 branch in 1 year 4 months
nanguoyu/ArduMap
Apr 2016 - Mar 2022
Contributions:10 pushes, 1 branch in 6 years
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