Resume

Four years of research experience withIntelligent Transportation Systems (ITS), Machine Learning, and Deep Learning. Currently working as a Postdoctoral Associate at the University of Central Florida (UCF).

EDUCATIONS

• B.S. in Traffic Engineering, Southeast University, 2012.06.
• M.S. in Smart Cities, University of Central Florida (UCF), 2020.04.
• SAS Data Mining Certificate, Univeristy of Central Florida (UCF), 2021.01.
• Ph.D in Civil Engineering, University of Central Florida (UCF), 2021.05.

SOFTWARE

• Programming languages
  • Python, MATLAB, SQL
• Traffic software
  • AutoCAD, TransCAD, NADS MiniSim, ArcGIS
• Statistical software
  • R, SAS
• Other software
  • Microsoft Office, Latex

PUBLICATIONS

Prediction of pedestrian crossing intentions at intersections based on long short-term memory recurrent neural network

Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network

Prediction of Pedestrians’ Near-accident Events at Signalized Intersections Using Gated Recurrent Unit (GRU)

Pedestrian Crossing Intention Prediction at Red-Light Using Pose Estimation

PROJECTS

• Improving Vulnerable Road Users’ Safety Based on Computer-Vision Technologies (PhaseⅠ)
  • Florida Department of Transportation
  • Aug 2020-May 2021
• Connecting the East Orlando Communities Project (PhaseⅠ, Smart Garage)
  • Federal Highway Administration (FHWA) ATCMTD
  • Aug 2019 – Aug 2020
• Using Smartphone as On Board Unit (OBU) Emulator Implementation Study
  • Florida Department of Transportation
  • Aug 2018-Aug 2019