Sheng Wang

Smart Cities Postdoc at New York University

Wuhan, Hubei, United States
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Summary

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Senior
🎓
Top School
Sheng Wang is a Smart Cities postdoctoral researcher at New York University with a Ph.D. in Computer Science from RMIT University and a decade of experience focused on databases, trajectory and time series management. He has a strong publication record with papers in SIGMOD, PVLDB, SIGIR, WSDM and ICDE, and has earned two best paper awards and multiple ACM travel awards, reflecting both research depth and community recognition. Prior roles include research and teaching positions at RMIT and a visiting scholar stint at Nanyang Technological University, demonstrating a blend of academic mentorship and hands-on research. Based in Wuhan, Sheng combines rigorous theoretical background with applied smart-cities interests, and his early career teaching and marking roles hint at an aptitude for clear communication and training the next generation of engineers.
code10 years of coding experience
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Nanjing University of Aeronautics and Astronautics
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at RMIT University
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Github Skills (18)

paths9
self-organizing-map9
totem8
topological-data-analysis8
evaluation8
search-engine7
natural-language-processing7
clustering7
nlp7
firebase6
flutter6
machine-learning6
database5
android5
dvc5

Programming languages (2)

JavaHTML

Github contributions (5)

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tgbnhy/torchtrajectory

Jun 2018 - Dec 2019

The World's First Search Engine for Trajectory Data
Contributions:12 commits, 28 pushes, 1 branch in 1 year 6 months
search-enginetransportationtrajectorysearch
Homepage of T4 Research
Contributions:25 commits, 23 pushes, 1 branch in 1 year
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Sheng Wang - Smart Cities Postdoc at New York University