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Houston researchers earn $3.3M in DOE funding to develop safer underground power line installation

going under

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.”

University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

Houston scientists land $1M NSF funding for AI-powered clean energy project

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

  1. Using machine learning to discover materials for plasma-assisted catalytic reactions
  2. Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
  3. Designing catalysts supports for efficient microwave-assisted reactions
  4. Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

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Investment bank opens energy-focused office in Houston

new to hou

Investment bank Cohen & Co. Capital Markets has opened a Houston office to serve as the hub of its energy advisory business and has tapped investment banking veteran Rahul Jasuja as the office’s leader.

Jasuja joined Cohen & Co. Capital Markets, a subsidiary of financial services company Cohen & Co., as managing director, and head of energy and energy transition investment banking. Cohen’s capital markets arm closed $44 billion worth of deals last year.

Jasuja previously worked at energy-focused Houston investment bank Mast Capital Advisors, where he was managing director of investment banking. Before Mast Capital, Jasuja was director of energy investment banking in the Houston office of Wells Fargo Securities.

“Meeting rising [energy] demand will require disciplined capital allocation across traditional energy, sustainable fuels, and firm, dispatchable solutions such as nuclear and geothermal,” Jasuja said in a news release. “Houston remains the center of gravity where capital, operating expertise, and execution come together to make that transition investable.”

The Houston office will focus on four energy verticals:

  • Energy systems such as nuclear and geothermal
  • Energy supply chains
  • Energy-transition fuel and technology
  • Traditional energy
“We are making a committed investment in Houston because we believe the infrastructure powering AI, defense, and energy transition — from nuclear to rare-earth technology — represents the next secular cycle of value creation,” Jerry Serowik, head of Cohen & Co. Capital Markets, added in the release.

Houston cleantech startup Helix Earth lands $1.2M NSF grant

federal funding

Renewable equipment manufacturer Helix Earth Technologies is one of three Houston-based companies to secure federal funding through the Small Business Innovation Research (SBIR) Phase II grant program in recent months.

The company—which was founded based on NASA technology, spun out of Rice University and has been incubated at Greentown Labs—has received approximately $1.2 million from the National Science Foundation to develop its high-efficiency retrofit dehumidification systems that aim to reduce the energy consumption of commercial AC units. The company reports that its technology has the potential to cut AC energy use by up to 50 percent.

"This award validates our vision and propels our impact forward with valuable research funding and the prestige of the NSF stamp of approval," Rawand Rasheed, Helix CEO and founder, shared in a LinkedIn post. "This award is a reflection our exceptional team's grit, expertise, and collaborative spirit ... This is just the beginning as we continue pushing for a sustainable future."

Two other Houston-area companies also landed $1.2 million in NSF SBIR Phase II funding during the same period:

  • Resilitix Intelligence, a disaster AI startup that was founded shortly after Hurricane Harvey, that works to "reduce the human and economic toll of disasters" by providing local and state organizations and emergency response teams with near-real-time, AI-driven insights to improve response speed, save lives and accelerate recovery
  • Conroe-based Fluxworks Inc., founded in 2021 at Texas A&M, which provides magnetic gear technology for the space industry that has the potential to significantly enhance in-space manufacturing and unlock new capabilities for industries by allowing advanced research and manufacturing in microgravity

The three grants officially rolled out in early September 2025 and are expected to run through August 2027, according to the NSF. The SBIR Phase II grants support in-depth research and development of ideas that showed potential for commercialization after receiving Phase I grants from government agencies.

However, congressional authority for the program, often called "America's seed fund," expired on September 30, 2025, and has stalled since the recent government shutdown. Government agencies cannot issue new grants until Congress agrees on a path forward. According to SBIR.gov, "if no further action is taken by Congress, federal agencies may not be able to award funding under SBIR/STTR programs and SBIR/STTR solicitations may be delayed, cancelled, or rescinded."

Mars Materials makes breakthrough in clean carbon fiber production

Future of Fiber

Houston-based Mars Materials has made a breakthrough in turning stored carbon dioxide into everyday products.

In partnership with the Textile Innovation Engine of North Carolina and North Carolina State University, Mars Materials turned its CO2-derived product into a high-quality raw material for producing carbon fiber, according to a news release. According to the company, the product works "exactly like" the traditional chemical used to create carbon fiber that is derived from oil and coal.

Testing showed the end product met the high standards required for high-performance carbon fiber. Carbon fiber finds its way into aircraft, missile components, drones, racecars, golf clubs, snowboards, bridges, X-ray equipment, prosthetics, wind turbine blades and more.

The successful test “keeps a promise we made to our investors and the industry,” Aaron Fitzgerald, co-founder and CEO of Mars Materials, said in the release. “We proved we can make carbon fiber from the air without losing any quality.”

“Just as we did with our water-soluble polymers, getting it right on the first try allows us to move faster,” Fitzgerald adds. “We can now focus on scaling up production to accelerate bringing manufacturing of this critical material back to the U.S.”

Mars Materials, founded in 2019, converts captured carbon into resources, such as carbon fiber and wastewater treatment chemicals. Investors include Untapped Capital, Prithvi Ventures, Climate Capital Collective, Overlap Holdings, BlackTech Capital, Jonathan Azoff, Nate Salpeter and Brian Andrés Helmick.
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