CV
Work experience
- 2019 - present: Assistant Professor of Data Science
- Libraries and School of Information Studies, Purdue University
- 2017 - 2019: Research Associate
- Forestry, Michigan State University
Education
- Ph.D., Forestry and Natural Resources, Purdue University, 2016
- M.S., Forestry and Natural Resources, Purdue University, 2012
- B.S., Biomedical Engineering, Northeastern University (CN), 2009
Honors and Awards
- Honor College Faculty-Led Research 2022
- Joanne J. Troutner Innovative Educators Award, 2021
- IDEA institute on AI, IMLS Fellow 2021
Service and leadership
- Faculty Lead in Research Data
- Liasion in Statistics, Agriculture and Biological Engineering, Forestry and Natrual Resources
Teaching
Publications
Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach
Tian Guo, Yaoze Liu, Gang Shao, Bernard Engel, Ashish Sharma, Lucy Marshall, Dennis Flanagan, Raj Cibin, Carlington Wallace, Kaiguang Zhao, "Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach." Environmental Modelling & Software, 2022.
High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA
Sungchan Oh, Jinha Jung, Guofan Shao, Gang Shao, Joey Gallion, Songlin Fei, "High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA." Remote Sensing, 2022.
Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine
Tongxi Hu, Elizabeth Toman, Gang Chen, Gang Shao, Yuyu Zhou, Yang Li, Kaiguang Zhao, Yinan Feng, "Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine." ISPRS Journal of Photogrammetry and Remote Sensing, 2021.
Improvement of simulating sub-daily hydrological impacts of rainwater harvesting for landscape irrigation with rain barrels/cisterns in the SWAT model
Siyu Li, Yaoze Liu, Younggu Her, Jingqiu Chen, Tian Guo, Gang Shao, "Improvement of simulating sub-daily hydrological impacts of rainwater harvesting for landscape irrigation with rain barrels/cisterns in the SWAT model." Science of The Total Environment, 2021.
Exploring potential roles of academic libraries in undergraduate data science education curriculum development
Gang Shao, Jenny Quintana, Wei Zakharov, Senay Purzer, Eunhye Kim, "Exploring potential roles of academic libraries in undergraduate data science education curriculum development." The Journal of Academic Librarianship, 2021.
Less agricultural phosphorus applied in 2019 led to less dissolved phosphorus transported to Lake Erie
Tian Guo, Laura Johnson, Greg LaBarge, Chad Penn, Richard Stumpf, David Baker, Gang Shao, "Less agricultural phosphorus applied in 2019 led to less dissolved phosphorus transported to Lake Erie." Environmental Science & Technology, 2020.
Towards high throughput assessment of canopy dynamics: The estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar
Gang Shao, Scott Stark, Danilo Almeida, Marielle Smith, "Towards high throughput assessment of canopy dynamics: The estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar." Remote Sensing of Environment, 2019.
Optimizing the remote detection of tropical rainforest structure with airborne lidar: Leaf area profile sensitivity to pulse density and spatial sampling
Danilo Almeida, Scott Stark, Gang Shao, Juliana Schietti, Bruce Nelson, Carlos Silva, Eric Gorgens, Ruben Valbuena, Daniel Papa, Pedro Brancalion, "Optimizing the remote detection of tropical rainforest structure with airborne lidar: Leaf area profile sensitivity to pulse density and spatial sampling." Remote Sensing, 2019.
Development and improvement of the simulation of woody bioenergy crops in the Soil and Water Assessment Tool (SWAT)
Tian Guo, Bernard Engel, Gang Shao, Jeffrey Arnold, Raghavan Srinivasan, James Kiniry, "Development and improvement of the simulation of woody bioenergy crops in the Soil and Water Assessment Tool (SWAT)." Environmental Modelling & Software, 2019.
Delineation of individual deciduous trees in plantations with low-density LiDAR data
Gang Shao, Guofan Shao, Songlin Fei, "Delineation of individual deciduous trees in plantations with low-density LiDAR data." International journal of remote sensing, 2019.
Improving Lidar-based aboveground biomass estimation of temperate hardwood forests with varying site productivity
Gang Shao, Guofan Shao, Joey Gallion, Michael Saunders, Jane Frankenberger, Songlin Fei, "Improving Lidar-based aboveground biomass estimation of temperate hardwood forests with varying site productivity." Remote Sensing of Environment, 2018.
Enhanced forest interior estimations utilizing lidar-assisted 3D forest cover map
Gang Shao, Basil Iannone, Songlin Fei, "Enhanced forest interior estimations utilizing lidar-assisted 3D forest cover map." Ecological Indicators, 2018.
The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats
BP Pauli, PA Zollner, GS Haulton, G Shao, G Shao, "The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats." Ecosphere, 2015.
Functional approach to simulating short-rotation woody crops in process-based models
Tian Guo, Bernard Engel, Gang Shao, Jeffrey Arnold, Raghavan Srinivasan, James Kiniry, "Functional approach to simulating short-rotation woody crops in process-based models." BioEnergy Research, 2015.
Mapping hardwood forests through a two-stage unsupervised classification by integrating Landsat Thematic Mapper and forest inventory data
Gang Shao, Benjamin Pauli, G Haulton, Patrick Zollner, Guofan Shao, "Mapping hardwood forests through a two-stage unsupervised classification by integrating Landsat Thematic Mapper and forest inventory data." Journal of Applied Remote Sensing, 2014.
Talks
Mining scientific literature with Natural Language Processing to expand bibliometrics analysis
Talk at ASIS&T SIG AI Workshop, Wyndham Grand, Pittsburgh, PA
Information Retrieval from Scientific Articles
Talk at AMAP Faculty Flash Talk, Purdue University, West Lafayette, IN
Spatial Machine Learning with ArcGIS Pro
Workshop at IGIC Annual Conference, Ball State University, Muncie, Indiana
Teaching Experience on ILS595 Geospatial Programming and Data Science
Talk at Purdue University, Online
Chatting Bot for Digital Reference
Talk at IDEA Institute on AI, University of Tennessee, Knoxville, TN
Exploring AI applications for Purdue Libraries
Talk at Purdue Libraries Celebrating Research, Purdue University, West Lafayette, IN
Understand Roles of Academic Libraries in Undergraduate Data Science Education
Talk at Purdue Libraries Celebrating Research, Purdue University, West Lafayette, IN
Python fundamentals
Guest Lecture at guest lectures for the course ILS595 at Purdue University, Purdue University, West Lafayette, IN
AI features in libraries, archives and museums
Invited Talk at brownbag seminar in Libraries and School of Information Studies, Purdue University, West Lafayette, IN
A thermal tolerance trait distinguishes microclimatic niches of tropical trees
Poster at AGU Fall Meeting, San Francisco, CA
Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients
Poster at AGU Fall Meeting, San Francisco, CA
Towards high throughput assessment of canopy dynamics: Exploring the challenges and opportunities for multi-temporal multi-site lidar remote sensing analysist
Invited Talk at Department of Forestry Hanover Seminar, Michigan State University
High throughput assessment of canopy structure in Amazon tropical forests
Invited Talk at invited presentation, Southwest University, China
Towards high throughput assessment of canopy dynamics: the estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar
Talk at ForestSAT 2018, College Park, Maryland
Database management in ArcGIS
Guest Lecture at guest lecture for the course FW419 at Michigan State University, Michigan State University
Improving lidar-based aboveground biomass estimation with site productivity for central hardwood forests, USA
Poster at AGU Fall Meeting, San Francisco, CA
Using airborne lidar data to estimate of forest interior condition: a case study of Southern Appalachian Mountains
Talk at Association of American Geographers, Chicago, Illinois
The use of airborne lidar for forestry applications
Guest Lecture at guest lecture for the course GSP326 at Humboldt State University, Online
The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats
Talk at North American Joint Bat Working Group Meeting, Crowne Plaza Hotel and Conference Center, St. Louis, Missouri
Estimation of forest interior condition in southern Appalachian Mountains using airborne lidar data
Talk at GISDay 2014, Purdue University, West Lafayette, IN
How structural complexity of vegetation facilitates invasion: Integrating lidar and FIA invasive species plot data in the Appalachian Mountains of the USA
Poster at GISDay 2014, Purdue University, West Lafayette, IN
Using lidar data to estimate forest canopy gaps in yellowwood state forest, IN.”
Invited Talk at Workshop on Advancing Continuous Wave LiDAR for Surveying, Mapping and Remote Sensing, Purdue University, West Lafayette, IN
Lidar data analysis for canopy closure and forest age in yellowwood state forest, Indiana
Poster at GISDay 2013, Purdue University, West Lafayette, IN
Effects of timber harvesting on water resources in the Santee watershed in South Carolina
Poster at Southern Forest Tree Improvement Committee, Clemson University, Clemson, SC
Geospatial optimization of location strategies for building a woody energy plant
Poster at International Biomass Conference & Expo, Minneapolis Convention Center, Minneapolis, MN
Indiana forest cover mapping with multi-stage integrated classification of satellite and in-situ forest inventory data
Poster at ForestSAT 2012, Oregon State University, Corvallis, OR