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New leadership team named climate tech-focused organization for Texas college students

David Pruner will lead the Texas Entrepreneurship Exchange for Energy, known as TEX-E. Photo via LinkedIn

A collaborative initiative between several colleges and Greentown Labs has named its inaugural executive director.

David Pruner will lead the Texas Entrepreneurship Exchange for Energy, known as TEX-E, which is comprised of partners including Greentown Labs, MIT’s Martin Trust Center for Entrepreneurship, and universities across Texas. Additionally, Julia Johansson was appointed chief of staff for TEX-E and will oversee operations and administration responsibilities.

“Dave is the ideal leader for TEX-E to build on the great work that’s been done to develop a robust entrepreneurial energy ecosystem across these five impressive universities in Texas and to directly inspire and support university students to pursue entrepreneurial careers that will power our clean energy future,” Greentown Labs CEO and President Kevin Knobloch says in a news release. “Dave’s expertise will have a tremendous impact on the strategy, evolution, and success of this ambitious and important program.”With over 30 years of experience within the energy, academic, and business worlds, Pruner will take the helm of the organization that launched in 2022 in collaboration with Rice University, Texas A&M University, Prairie View A&M University, University of Houston, and The University of Texas at Austin as its founding institutions.

“I am very excited about helping Houston and the state of Texas navigate the energy transition,” Pruner says in the release. “We are at a crucial pivot point for the industry and it will be essential for us to help create the next generation of energy transition entrepreneurs.

"An ecosystem in this area has been building and it will be our mission to inspire, equip, connect and accelerate these individuals and teams working with the universities to make it robust," he continues. "If we succeed we will assure Texas’s role as the leader in energy globally.”

Before this new role, Pruner held leadership positions at business management consulting firm Heidrick & Struggles and Wood Mackenzie, as well as other energy firms and in financial services companies including Bridgewater Associates and Manufacturers Hanover Trust.

The two new hires are based out of Greentown Labs Houston. The next role TEX-E hopes to fill is director of university engagement, which will lead programming, recruitment, and partner management for TEX-E.

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This article originally ran on InnovationMap.

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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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