RET/REU
OPPORTUNITY APPLICATIONS:
JOB TITLE: NSF RET SUMMER FELLOWS
JOB TITLE: NSF REU SUMMER FELLOWS
ANNUAL REU PROGRAM WORKFLOW:
PREVIOUS AND CURRENT REUS:
Name | School | Year | Supervisor | Project | Description |
---|---|---|---|---|---|
Matthew Zhan | University of Texas at Austin | 2014 | Chaowei Yang | Spatiotemporal Big Data project | Facilitated the collaboration with NASA and resulted in a student-lead presentation at the Annual Meeting of the Association of American Geographers |
Hunter Loveland | University of Chicago | 2014 | Paul Houser, Min Sun, Yunfeng Jiang | Gathering data from climate sensors in the Fraser experimental forest, Fraser, Colorado. | |
Nicholas Bertini | George Mason University | 2015 | Chaowei Yang | contributed to the NASA-sponsored project of designing conceptual architecture for planetary defense and risk mitigation. Results have been presented in the American Geological Union Fall Meeting 2015 at San Francisco, CA. | |
Andrew Donnley | George Mason University | 2015 | Donglian Sun, Sven Furhmann | 3D data modeling and visualization | |
Alena Deveau | Virginia Tech University | 2016 | Chaowei Yang, Manzhu Yu, Yongyao Jiang | Planetary Defense project | Advanced NASA’s Planetary Defense systems infrastructure and researched operational capabilities of the facilities that contribute to national security issues. |
Joseph George | University of Richmond | 2016 | Chaowei Yang, Manzhu Yu | Planetary Defense project | Results of the planetary defense project were presented at the International Symposium of Big Data and Cloud Computing hosted at George Mason University in July 2016. |
Coleman Shepard | University of Minnesota | 2017 | Chaowei Yang, Mengchao Xu | Big Data Deep Learning Platform project | Worked on the Open Geospatial Consortium (OGC) Web Service portion of the Big Data platform. Setup a geospatial server (GeoServer) to connect to existing databases to distribute standardized web services. (WMS/WFS/WCS) |
Joseph George | University of Richmond | 2017 | Yongyao Jiang, Yun Li | Big Data Deep Learning Platform project | Facilitates the efficient big data management, query, processing, and deep learning analytics |
Lara Kamal | George Mason University | 2017 | Ishan Shams, Qian Liu | Oceanographic Data Discovery project | machine learning algorithm for NASA’s oceanographic data discovery ranking framework, Mudrod, using Artificial Neural Network and evaluated the algorithm using specific metrics. |
Mackenzie Kane | University of Colorado | 2018 | Manzhu Yu | Tropical Cyclone Hot Tower Segmentation project | Using advanced programming skills to preprocess the climate reanalysis data and satellite observations. |
Benjamin Segal | University of Wisconsin-Madison | 2018 | Ishan Shams | Flood Portal project | Using web-based programming to archive, preprocess, and visualize the satellite imagery for high resolution flood information in the U.S. |
Timothy Wu | Yale University | 2019 | Dexuan Sha, Qian Liu | Arctic Infrastructure project | Focusing on HSR imagery data collection, metadata analysis, data warehouse design, ETL process. |
Victoria Dombrowik | Yale University | 2019 | Dexuan Sha | Arctic Infrastructure project | Focusing on HSR imagery preprocessing based on data format, basic operation; raster data analysis of classification and other method. |
Emmanuel Carrera | University of Sourthen California | 2019 | Jingchao Yang | Urban Heat Island | TBD |
Nicholas Morris | James Madison University | 2019 | Ishan Shams,Yun Li | Planetary Defense project | Facilitates data scraping and mining from Horizons via telnet systems using advanced programming technology and provides CRUD middle-layer API support. |
Megan Rice | Carnegie Mellon University | 2020 | Zifu Wang, Yun Li | Impact factor analysis of COVID-19 | Preparing this data which included daily case and death statistics along with socioeconomic, medical, mobility, environmental, and policy static and dynamic factors. |
Melanie Alfonzo | Johns Hopkins University | 2020 | Yun Li, Dexuan Sha | Patient-level Fatality Prediction | Creating a machine learning model that is capable of predicting fatality for an individual who has tested positive for COVID-19. |
Nadine Meister | Harvard University | 2020 | Hai Lan | Schools Reopen Prediction And Decision-making Under Pandemic | Using an agent-based modeling approach to represent the spread of COVID-19 on college campuses |
Oliver Chartock | Dartmouth College | 2020 | Hai Lan, Zifu Wang | COVID-19 Data Visualization | Assisting in the installation and deployment of an ArcGIS Enterprise platform |
Sophia O’Neill | Cornell University | 2020 | Dexuan Sha | COVID-19 Data Clean | Data collection and organization of COVID19 data, and data exploration and processing. |
Alma Topete | University of California, Santa Barbara | 2020 | Zifu Wang, Qian Liu | Twitter classification | downloading data using a web host server, pre-processing tweet ID’s, hydrating Twitter data content |
Jackson T. Harris |
Dartmouth College |
2020 | Qian Liu | Cloud classification/ Air Quality/UHI Forecasting | Data collection of Cloud classification and Improving the Air Quality/UHI Forecasting in the Urban setting |
Samantha Carr |
McGill University |
2020 | CGA researchers | multiple projects | Expanded upon previous stationary cartographic work mapping global human migration trends using UNHCR datasets and displaying localized human migration routes through the compilation of a myriad of open source data |
Erin Abbott | University of Chicago | 2020 | CGA researchers | multiple projects | creating and editing basic mapping and analysis tutorials for novice GIS users for both open source software (R and QGIS) and ArcGIS Online; scripting with OmniSci for the GeoTweets archive project and the climate exposure extraction project for the CREW study |