Sheng Wang
Smart Cities Postdoc at New York University
Wuhan, Hubei, United States
Summary
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Senior🎓
Top SchoolSheng 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.
10 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Nanjing University of Aeronautics and AstronauticsDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at RMIT University
Github Skills (7)
k-means-clustering10
kmeans9
search-engine9
visualization7
database5
mobile5
dataset-search4
Programming languages (2)
Github contributions (5)
T4Research/t4research.github.io
Sep 2018 - Oct 2019
Homepage of T4 Research
Contributions:25 commits, 23 pushes, 1 branch in 1 year
tgbnhy/k-paths-clustering
Apr 2019 - Oct 2019
Repository of k-paths: code, dataset, technical report, visualization
Contributions:45 commits, 16 pushes in 5 months
visualizationtrajectory-clusteringtraffic-monitoringk-means-clusteringbus-route-optimisation
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