Ruizhu Huang

Ruizhu Huang

Research Associate

Data Intensive Computing

512-475-9411
rhuang@tacc.utexas.edu


Dr. Ruizhu Huang joined the Data Mining & Statistics group at TACC in 2014. Prior to joining TACC, he was a GIS engineering intern at Google Maps in 2013, working on Geo data visualization and interoperation project. Back in 2005, he was a research analyst at the World Bank and involved in the dynamics of global urban expansion project. Before coming to US, he worked as an engineer in Bureau of Land Resource and Housing Administration in Guangzhou, China.

Ruizhu earned his Ph.D in the Interdisciplinary Program of Urban Design and Planning from University of Washington at Seattle. His Ph.D research focused on quantifying relationship between built environment, travel behavior and health outcomes using GPS, accelerometer and travel diary data. He obtained a M.S. degree in Statistics from University of Washington at Seattle and a Master of Urban Planing degree from University of Maryland at College Park. He has extensive experience in spatial statistics, Geo data visualization and large scale data analysis.


Areas of Research

Large scale data analysis with statistical and computational methods and applications

GIS data visualization

Spatial statistics

Machine learning

Transportation planning

Public Health

Education

Ph.D., Urban Design and Planning
University of Washington at Seattle

M.S., Statistics
University of Washington at Seattle

Master of Urban Planning
University of Maryland at College Park

Bachelor of Land Resource Management
Guangdong University of Technology, China


Selected Publications

For a full list and most recent publication please refer to https://ruizhuhuang.github.io/files/CV_Ruizhu_Huang.pdf

Xu, W., Ruiz, N., Huang, R., Duthie, J., Clary, J., (2018), Automated pedestrian safety analysis using data from traffic monitoring cameras, The 1st ACM/EIGSCC Symposium On Smart Connected Communities, Portland, OR

Xu, W., Huang, R., Wang, Y., (2018), Framework of Enabling User Configurable Web Application With Remote Resources. 2018 IEEE International Conference on Web Services. San Francisco, CA

Huang, R., Xu, W., Liverani, S., Hiltbrand, D., Stapleton, A., (2018), A Case Study of R Performance Analysis and Optimization. Practice and Experience in Advanced Research Computing (PEARC) 2018, Pittsburgh, PA

Wang, Y., Huang, R., Xu, W., (2018), Authentication with User Driven Web Application for Accessing Remote Resources. Practice and Experience in Advanced Research Computing (PEARC) 2018, Pittsburgh, PA

Liu, F.C., Xu, W., Belgin, M., Huang, R. and Fleischer, B.C., 2017, July. Insights into Research Computing Operations using Big Data-Powered Log Analysis. In Proceedings of the Practice and Experience in Advanced Research Computing (PEARC) 2017 on Sustainability, Success and Impact (p. 31). ACM.

Huang, R., Moudon, A., Zhou, C., Stewart, O., Saelens, B. (2017) Light Rail Leads to More Walking Around Station Areas, Journal of Transport & Health, http://dx.doi.org/10.1016/j.jth.2017.02.002

Xu, W., Huang, R., Esteva, M., Song, J., Walls, M., Content-based Comparision for Collections Identification, In Big Data (Big Data), 2016 IEEE International Conference on. IEEE

Huang, R., Xu, W., McLay R. , A web interface for XALT log data analysis, Proceedings of the 2016 XSEDE Conference: XSEDE16: Diversity, Big Data, and Science at Scale. ACM, 2016

Huang, R. and Xu, W., 2015, October. Performance evaluation of enabling logistic regression for big data with R. In Big Data (Big Data), 2015 IEEE International Conference on (pp. 2517-2524). IEEE

Huang, R., Moudon AV, Cook AJ, Drewnowski A. (2014) The spatial clustering of obesity: does the built environment matter?. Journal of Human Nutrition and Dietetics. doi:10.1111/jhn.12279

Duncan, G. E., Mills, B, Strachan, E., Hurvitz, P. M., Huang, R., Vernez Moudon, A., Turkheimer, E. (2014) Stepping towards causation in studies of neighborhood and environmental effects: How twin research can overcome problems of selection and reverse causation. Health & Place, 27, 106-111

Duncan, G. E., Dansie, E. J., Strachan, E., Munsell, M., Huang, R., Vernez Moudon, A., Goldberg, J., et al. (2012). Genetic and environmental influences on residential location in the US. Health &Place, 18(3), 515-519


Book Chapters

W. Xu, R. Huang, H. Zhang, Y. El-Khamra, and D. Walling, "Empowering R with High Performance Computing Resources for Big Data Analytics," in Conquering Big Data with High Performance Computing, Springer, 2016


Conferences Presentations

Xu, W., Ruiz, N., Huang, R., Duthie, J., Clary, J., (June 22, 2018), Automated pedestrian safety analysis using data from traffic monitoring cameras, The 1st ACM/EIGSCC Symposium On Smart Connected Communities, Portland, OR

Huang, R., (June 3, 2018), Machine Learning on Cyberinfrastructure, The ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018), Fort Worth, TX

Xu, W., Huang, R., Esteva, M., Song, J., Walls, M., (Dec. 8 2016) Content-based Comparsion for Collections Identification, 2016 IEEE International Conference on Big Data, Washington D.C.

Xu, W., Huang, R., Song, J., Walls, M., Esteva, M., (2016) Supporting Efficient Content Based Collection Comparison for Curation, SciDataCon 2016 at Denver, CO

Huang, R., Xu, W., McLay R. (July 20, 2016), A web interface for XALT log data analysis, XSEDE 16: Diversity, Big Data, and Science at Scale, Miami, FL

Weijia Xu, David Walling, Ruizhu Huang, Niall Gaffney, Christopher Jordan and Amit Gupta, (July 18, 2016). Tutorial: The many faces of data management, interaction, and analysis using Wrangler, XSEDE16: Diversity, Big Data, and Science at Scale, Miami, FL

Huang, R., Xu, W. (Oct. 29, 2015). Performance Evaluation of Enabling Logistic Regression for Big Data with R, 2015 IEEE International Conference on Big Data, Santa Clara, CA

Ruizhu Huang, Drew Schmidt, David Walling, Eric Wernert, Weijia Xu, Hui Zhang, (July 27, 2015) . Tutorial: Scaling R Computation for Big Data processing with XSEDE Resources, XSEDE15, St. Louis, MO

Huang, R (November 20, 2013). Geo data visualization. Lightning Talk, GIS Day. University of Washington, Seattle, WA

Huang, R (Sept 20, 2013). Visualization of spatial line and point pattern. Google, Mountain View, CA

Hurvitz, P.M., Jiao, J., Ulmer, J., Kang, B., Huang, R, & Moudon, A. V. (2011). Space, time, and movement: Integrating high-resolution GPS, GIS, and accelerometry for estimating built environment exposure. Paper presented at the 2011 Association of American Geographers (AAG) Annual Meeting, Seattle, WA.


SOFTWARE PACKAGE

PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression