Talks and presentations

Mining scientific literature with Natural Language Processing to expand bibliometrics analysis

October 29, 2022

Talk, ASIS&T SIG AI Workshop, Wyndham Grand, Pittsburgh, PA

Shao, G., Mining scientific literature with Natural Language Processing to expand bibliometrics analysis, ASIS&T SIG AI Workshop, October 2022, Wyndham Grand, Pittsburgh, PA

</article> </div>

Information Retrieval from Scientific Articles

September 02, 2022

Talk, AMAP Faculty Flash Talk, Purdue University, West Lafayette, IN

Shao, G., Information Retrieval from Scientific Articles, AMAP Faculty Flash Talk, September 2022, Purdue University.

</article> </div>

Spatial Machine Learning with ArcGIS Pro

May 23, 2022

Workshop, IGIC Annual Conference, Ball State University, Muncie, Indiana

Shao,G. “Spatial Machine Learning with ArcGIS Pro”, workshop on IGIC Annual Conference, Ball State University, Muncie, Indiana, 05/23/2022

</article> </div>

Teaching Experience on ILS595 Geospatial Programming and Data Science

August 06, 2021

Talk, Purdue University, Online

Shao,G. “ILS595 Geospatial Programming and Data Science”, August PULSIS Teaching Online Community of Practice: Showcasing our Instruction, online, Purdue University, 08/06/2021

</article> </div>

Chatting Bot for Digital Reference

July 15, 2021

Talk, IDEA Institute on AI, University of Tennessee, Knoxville, TN

Shao,G., Chatting Bot for Digital Reference, IDEA Institute on AI, July 2021, University of Tennessee, Knoxville, TN.

</article> </div>

Exploring AI applications for Purdue Libraries

May 02, 2021

Talk, Purdue Libraries Celebrating Research, Purdue University, West Lafayette, IN

Shao, G., Exploring AI applications for Purdue Libraries. In Purdue Libraries Celebrating Research, Stewart Center, Nov 2021, Purdue University.

</article> </div>

Understand Roles of Academic Libraries in Undergraduate Data Science Education

May 01, 2020

Talk, Purdue Libraries Celebrating Research, Purdue University, West Lafayette, IN

Shao, G., Quintana J., Zakharov W., Purzer S. and Kim E., Understand Roles of Academic Libraries in Undergraduate Data Science Education. In Purdue Libraries Celebrating Research, virtual online, May 2020, Purdue University.

</article> </div>

Python fundamentals

March 03, 2020

Guest Lecture, guest lectures for the course ILS595 at Purdue University, Purdue University, West Lafayette, IN

Shao, G. “Python fundamentals”, guest lectures for the course ILS595, qualitative data management, at Purdue University, 03/03/2020

</article> </div>

AI features in libraries, archives and museums

February 26, 2020

Invited Talk, brownbag seminar in Libraries and School of Information Studies, Purdue University, West Lafayette, IN

Shao, G. “AI features in libraries, archives and museums”, brownbag seminar in Libraries and School of Information Studies at Purdue University, 02/26/2020

</article> </div>

A thermal tolerance trait distinguishes microclimatic niches of tropical trees

December 02, 2019

Poster, AGU Fall Meeting, San Francisco, CA

Taylor, T., Smith, M., Visser, M.D., McMahon, S., Anderson-Teixeira, K.J., Kunert, N., Herrmann, V., Muller-Landau, H.C., Shao, G., Stark, S.C. and Feeley, K., 2019, December. A thermal tolerance trait distinguishes microclimatic niches of tropical trees. In AGU Fall Meeting 2019. AGU.

</article> </div>

Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients

December 01, 2019

Poster, AGU Fall Meeting, San Francisco, CA

Smith, M., Schietti, J., Gonçalves, N., Minor, D., de Almeida, D.R.A., Rocha, D.G., Aragón, S., Menin, M., Guedes, M.C., Tonini, H. da Silva, K.E. and Shao, G. et. al, 2019, December. Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients. In AGU Fall Meeting 2019. AGU.

</article> </div>

Towards high throughput assessment of canopy dynamics: Exploring the challenges and opportunities for multi-temporal multi-site lidar remote sensing analysist

February 26, 2019

Invited Talk, Department of Forestry Hanover Seminar, Michigan State University

Shao, G. “Towards high throughput assessment of canopy dynamics: Exploring the challenges and opportunities for multi-temporal multi-site lidar remote sensing analysist, Department of Forestry Hanover Seminar, Michigan State University, 02/26/2019.

</article> </div>

High throughput assessment of canopy structure in Amazon tropical forests

October 27, 2018

Invited Talk, invited presentation, Southwest University, China

Shao, G. “High throughput assessment of canopy structure in Amazon tropical forests”, invited presentation, Southwest University, China, 10/27/2018.

</article> </div>

Towards high throughput assessment of canopy dynamics: the estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar

October 01, 2018

Talk, ForestSAT 2018, College Park, Maryland

Shao, G., S.C. Stark, D.R.A. Almeida and M.N. Smith, “Towards high throughput assessment of canopy dynamics: the estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar”, ForestSAT 2018, College Park, Maryland, USA.

</article> </div>

Database management in ArcGIS

February 02, 2017

Guest Lecture, guest lecture for the course FW419 at Michigan State University, Michigan State University

Shao, G. “Database management in ArcGIS”, guest lecture for the course FW419, application of GIS to natural resources management, at Michigan State University, 02/02/2017.

</article> </div>

Improving lidar-based aboveground biomass estimation with site productivity for central hardwood forests, USA

December 01, 2016

Poster, AGU Fall Meeting, San Francisco, CA

Shao, G., J. Gallion, S. Fei, G.F. Shao, “Improving lidar-based aboveground biomass estimation with site productivity for central hardwood forests, USA”, AGU Fall Meeting, December 2016, San Francisco, USA (poster).

</article> </div>

Using airborne lidar data to estimate of forest interior condition: a case study of Southern Appalachian Mountains

April 01, 2015

Talk, Association of American Geographers, Chicago, Illinois

Shao G., S. Fei, B.D. Madurapperuma, and G.F. Shao, “Using airborne lidar data to estimate of forest interior condition: a case study of Southern Appalachian Mountains”, Association of American Geographers, April 2015, Chicago, Illinois, USA.

</article> </div>

The use of airborne lidar for forestry applications

March 09, 2015

Guest Lecture, guest lecture for the course GSP326 at Humboldt State University, Online

Shao, G. “The use of airborne lidar for forestry applications”, online guest lecture for the course GSP326, the intermediate remote sensing, at Humboldt State University, 03/09/2015.

</article> </div>

The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats

March 01, 2015

Talk, North American Joint Bat Working Group Meeting, Crowne Plaza Hotel and Conference Center, St. Louis, Missouri

Pauli B.P., P.A. Zollner, G.S. Haulton, G. Shao and G. Shao, “The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats”, North American Joint Bat Working Group Meeting, March 2015, Crowne Plaza Hotel and Conference Center, St. Louis, Missouri, USA.

</article> </div>

Estimation of forest interior condition in southern Appalachian Mountains using airborne lidar data

November 02, 2014

Talk, GISDay 2014, Purdue University, West Lafayette, IN

Shao, G., S. Fei, B.D. Madurapperuma, and G. Shao. 2014. “Estimation of forest interior condition in southern Appalachian Mountains using airborne lidar data”, GISDay 2014, November 2014, Purdue University, West Lafayette, IN, USA.

</article> </div>

How structural complexity of vegetation facilitates invasion: Integrating lidar and FIA invasive species plot data in the Appalachian Mountains of the USA

November 01, 2014

Poster, GISDay 2014, Purdue University, West Lafayette, IN

Madurapperuma B.D., B.V. Iannone III, J, Jung, B.C. Pijianowski, S. Fei and G. Shao. 2014. “How structural complexity of vegetation facilitates invasion: Integrating lidar and FIA invasive species plot data in the Appalachian Mountains of the USA”, GISDay 2014, November 2014, Purdue University, West Lafayette, IN, USA (poster).

</article> </div>

Using lidar data to estimate forest canopy gaps in yellowwood state forest, IN.”

April 03, 2014

Invited Talk, Workshop on Advancing Continuous Wave LiDAR for Surveying, Mapping and Remote Sensing, Purdue University, West Lafayette, IN

Shao, G. “Using lidar data to estimate forest canopy gaps in yellowwood state forest, IN.” Workshop on Advancing Continuous Wave LiDAR for Surveying, Mapping and Remote Sensing, Purdue University, West Lafayette, IN, USA, 04/03/2014.

</article> </div>

Lidar data analysis for canopy closure and forest age in yellowwood state forest, Indiana

November 01, 2013

Poster, GISDay 2013, Purdue University, West Lafayette, IN

Shao. G., A. Meier, M. Saunders, and G.F. Shao. 2013. “Lidar data analysis for canopy closure and forest age in yellowwood state forest, Indiana”, GISDay 2013, November 2013. Purdue University, West Lafayette, IN, USA (poster).

</article> </div>

Effects of timber harvesting on water resources in the Santee watershed in South Carolina

June 01, 2013

Poster, Southern Forest Tree Improvement Committee, Clemson University, Clemson, SC

Shao, G.*, T. Guo, L. Ahiablame, and G.F. Shao, 2013. “Effects of timber harvesting on water resources in the Santee watershed in South Carolina”, Southern Forest Tree Improvement Committee, June 2013. Clemson University, Clemson, SC, USA (poster).

</article> </div>

Geospatial optimization of location strategies for building a woody energy plant

April 01, 2013

Poster, International Biomass Conference & Expo, Minneapolis Convention Center, Minneapolis, MN

Shao, G.* 2013. “Geospatial optimization of location strategies for building a woody energy plant”, International Biomass Conference & Expo, April 2013. Minneapolis Convention Center, Minneapolis, MN, USA (poster).

</article> </div>

Indiana forest cover mapping with multi-stage integrated classification of satellite and in-situ forest inventory data

September 01, 2012

Poster, ForestSAT 2012, Oregon State University, Corvallis, OR

Shao, G.* G.F. Shao, P. A. Zollner, B. Pijanowski, B.P. Pauli, and S.G. Haulton. 2012. “Indiana forest cover mapping with multi-stage integrated classification of satellite and in-situ forest inventory data”, ForestSAT 2012, September 2012. Oregon State University, Corvallis, OR, USA (poster).

</article> </div>