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Early-Career Research Fellow - Xingyong Song

Implementing Organization

Texas A&M University


DWH Project Funding


Known Leveraged Funding


Funding Organization

The National Academies of Sciences, Engineering, and Medicine – Gulf Research Program (NASEM - GRP)

Funding Program

NASEM Gulf Research Program Fellowships


Project Category


Project Actions

Education and Outreach

Targeted Resources

Human and/or Institutional Capacity

Project Description

Dr. Song is an assistant professor in the College of Engineering at Texas A&M University. He received his Ph.D. in mechanical engineering from the University of Minnesota. His research interests include drilling automation systems for more efficient and safe oil and gas production, mechatronic system design and dynamics control, and renewable energy systems enabled by advanced control technologies. Prior to appointment at Texas A&M University, he had industrial working experience at the General Motors Research Center and at the Halliburton Energy Service Company Innovation Center. While at Halliburton, he actively piloted control solutions to address advanced automation needs in the oil and gas industry, including drilling automation, well logging, and drilling fluid management and control. His novel control solution for the new Halliburton sonic logging tool won him the Halliburton Innovation of the Year Award.


Maggie Walser
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