Yongyao Jiang

Presentations

Earth science knowledge graph

Presentations

MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Metadata, Usage Metrics, and User Feedback to Improve Data Discovery and Access

Yongyao Jiang

Presentations

Automated mobility mode detection based on GPS tracking data

Yongyao Jiang

Presentations

Polar CI: A Clound based Polar Resource Discovery Engine

Yongyao Jiang

Presentations

A Knowledge Discovery Framework for Planetary Defense

Yongyao Jiang

Presentations

MUDROD - Ranking

Yongyao Jiang

Personal Information

Organization / Workplace

Washington D.C. Metro Area United States

Occupation

Ph.D. Candidate in Geoinformation Science

Industry

Technology / Software / Internet

About

Ph.D. candidate in Geoinformation Science with over five years of experience in geospatial technologies, search engine, machine learning, high performance computing and object oriented software development. At GMU, I have worked as the technical lead for a couple of search engine, machine learning, and Web crawling projects funded by NASA and NSF. The MUDROD search engine for satellite imagery I developed on the top of Elasticsearch is the first attempt of using machine learning to improve data discovery in the Earth science domain.

Contact Details