new hires

3 top DOE researchers take professor positions at University of Houston

These appointments are part of a memorandum of understanding that Argonne, located in the Chicago area, recently signed with the Greater Houston Partnership. Photo via UH.edu

Three top researchers at the U.S. Department of Energy’s Argonne National Laboratory have accepted joint appointments at the University of Houston.

“This strategic collaboration leverages the combined strengths of Argonne and the [university] to further critical research efforts, public-private partnerships, and educational opportunities for students in the energy transition and lead to transformational advancement of commercial scale energy industries,” Ramanan Krishnamoorti, vice president for energy and innovation at UH, says in a news release.

These appointments are part of a memorandum of understanding that Argonne, located in the Chicago area, recently signed with the Greater Houston Partnership. The agreement seeks to accelerate decarbonization efforts in the Houston area.

The three scientists appointed to positions are UH are:

  • Zach Hood, whose appointment is in the Department of Electrical and Computer Engineering at the UH Cullen College of Engineering. He’ll be hosted by Yan Yao, a UH professor who is principal investigator at the Texas Center for Superconductivity.
  • Jianlin Li, whose appointment also is in the Department of Electrical and Computer Engineering. He plans to establish a dry room facility at UH and conduct research on energy storage technologies, electrode processing, and cell manufacturing.
  • Michael Wang, the inaugural Distinguished Senior Scholar at UH’s Energy Transition Institute. His objectives include advancing research in decarbonizing the oil and gas sector through carbon management and transitioning to renewable energy sources. Wang will conduct seminars and present lectures in environmental sustainability, lifecycle, and techno-economic analysis of energy technologies, while helping Argonne tap into the university’s talent pool.

“With more than 30 years of experience, Dr. Wang brings critical tools and expertise to the UH Energy Transition Institute, which is dedicated to unlocking the transformative potential within three critical domains: hydrogen, carbon management, and circular plastics,” says Joe Powell, founding executive director of the Energy Transition Institute. “These areas not only present opportunities for reshaping the energy sector but also stand as pillars for societal sustainable development and decarbonization.”

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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