Experience

University of Michigan - Center for Academic Innovation

• United States
• Higher Education
• 1 - 100 Employee

• XR developer fellow

  • Feb 2022 - Present



University of Michigan- School for Environment and Sustainability

• United States
• Higher Education
• 1 - 100 Employee

• Research Assistant

  • Jun 2020 - Present

  - Process LiDAR data for green space/canopy cover recognition - Analyze accessible area of university's and hospitals' facilities - Process remote science images for landcover recognition - Record 360-degree videos within the accessible area of university's and hospitals' facilities - Train deep learning model for predicting emotion of soundscapes - Develop R package for viewshed analysis and calculation of related land information - Classify landcover with multi-source data… Show more - Process LiDAR data for green space/canopy cover recognition - Analyze accessible area of university's and hospitals' facilities - Process remote science images for landcover recognition - Record 360-degree videos within the accessible area of university's and hospitals' facilities - Train deep learning model for predicting emotion of soundscapes - Develop R package for viewshed analysis and calculation of related land information - Classify landcover with multi-source data using machine learning (random forest) - Analyze interactions between urban forms and water quality using machine learning - Curate dataset of demographic data and urban form data in watersheds using python (GeoPandas)

• Graduate Student Instructor

  • Sep 2021 - Dec 2021

  Place making studio



SCULAB

• Research Assistant

  • Jun 2017 - Present

  - Literature analysis in terms of sea-level rise - Analyze the walkability of urban within the accessible area of public parks - Collect and analyzed point of interest (POI) data - Process remote sensing images (Landsat 8) for landcover recognition/classification - Simulate the transformation process of coastal wetland in the different future scenarios of sea-level rise - Literature analysis in terms of sea-level rise - Analyze the walkability of urban within the accessible area of public parks - Collect and analyzed point of interest (POI) data - Process remote sensing images (Landsat 8) for landcover recognition/classification - Simulate the transformation process of coastal wetland in the different future scenarios of sea-level rise