Yangkang Chen
Yangkang Chen is a seismologist at TexNet at the Bureau of Economic Geology. He received a B.S. degree in exploration geophysics from China University of Petroleum in Beijing, China, in 2012 and a Ph.D. degree in geophysics from The University of Texas at Austin in 2015. From 2016 to 2018, he was a distinguished postdoctoral research associate with the Oak Ridge National Laboratory in Oak Ridge, Tennessee. His research interests include seismic signal analysis, seismic modeling and inversion, deep learning, and high-performance computing.
Areas of Expertise
Chen is interested in computational methods that can be broadly applied to seismic signal analysis, seismic modeling and imaging, and earthquake monitoring. In the past ten years, his team's research has focused on applying artificial intelligence (AI) techniques to various geoscience problems. One particularly intriguing problem is to detect earthquakes that are likely induced by industrial injection activities from continuous waveforms of hundreds of broadband stations, which requires a precise picking of key seismic phases (e.g., P and S waves) and a sophisticated workflow for the association and location of the detected phases.
Current Research Programs & Projects
Texas seismological network ( view )Editor of JGR: Machine Learning and Computation, (2023 - Present)
Associate Editor of IEEE Transactions on Geoscience and Remote Sensing, (2020 - Present)
Graduate Positions
Students/postdocs on ML/AI-based earthquake data analysis
I am looking for self-motivated graduate students and postdocs who are interested in research on advanced earthquake data analysis using ML/AL.
News: AI-Driven Earthquake Forecasting Shows Promise in Trials
Bureau Team Wins International Earthquake Forecasting Competition
The Bureau of Economic Geology's Yangkang Chen led a team to win first place in the 2022 AETA Earthquake Prediction AI Algorithm Competition hosted by Peking University Shenzhen Graduate School in China, a competition that included 600 international teams.