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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Houston developer launches AI-powered water platform to boost efficiency

eyes on AI

Houston real estate company McCord Development has launched an artificial-Intelligence-run water management platform, MizuWatch.

MizuWatch aims to help operators, districts, and municipalities detect leaks faster, reduce water loss and improve efficiency, according to the company. MizuWatch pulls data from supply sources, smart meters, historical usage and maintenance records, and combines them into a single platform. The AI system also uses visual mapping and digital twin technology to deliver near-real-time system insights.

“MizuWatch brings the right data together daily, so teams can see what’s happening now, intervene earlier and focus their resources where they have the greatest impact,” Jerzy Wielgus, chief product officer for MizuWatch, said in a news release.

MizuWatch was built to “scale across geographies and system sizes to help assist with water scarcity, aging infrastructure, and operational complexity,” according to the company. It was developed at Houston’s Generation Park, McCord’s 4,300-acre master planned commercial district. McCord was able to pilot the platform onsite to help manage its complex, real-world water systems at scale.

“Resilient infrastructure is a key factor for the companies choosing Generation Park,” Ryan McCord, CEO of McCord Development and Founder & CEO of MizuWatch, added in the release. “We made the decision to deploy smart meters, but no one knew how to use the data they generate. This is an opportunity across all infrastructure where sensors are deployed. What started as an internal solution has become a platform we believe can help stakeholders everywhere be more efficient in their operations, investment, and compliance.”

Last fall, Eli Lilly and Co. selected Generation Park for its $6.5 billion manufacturing plant. More than 300 locations in the U.S. competed for the factory. Bristol Myers Squibb Co., another pharmaceutical giant, also announced it is considering Generation Park for a new manufacturing hub earlier this month.

Oil giant BP ousts new chairman over serious conduct concerns

Sudden Exit

BP has ousted its chairman over what it called serious concerns related to “important governance standards, oversight and conduct.”

The departure was abrupt and unexpected, with Albert Manifold having been appointed to the position late last year.

“Albert has helped bring a welcome focus and pace to BP’s transformation," Amanda Blanc, senior independent director, said in a statement Tuesday, May 26. "However, the board has been surprised and disappointed to learn of governance oversight and conduct issues it deems unacceptable and has taken decisive action.”

BP's board named Ian Tyler as interim chair, effective immediately.

BP, based in London and with North American headquarters in Houston, is a “supermajor,” one of the five largest oil production and exploration companies in the world when measured by revenue and profit.

Manifold, who had been the top executive at Dublin-based global building materials company CRH for 10 years, became the chair at BP in October. BP was looking for someone to revamp the oil giant and went with an industry outsider in Manifold, who had made major strategic changes at CRH.

After a new focus on renewable energy at BP in 2020, by 2025 the company was seeking a return to its roots. BP's hard reset was criticized by environmentalists, as well as some shareholders.

CEO Murray Auchincloss said last year that optimism over opportunities in renewable energy was misplaced, with the company moving “too far and too fast.”

Changes in leadership at BP in recent years has been tumultuous.

CEO Bernard Looney resigned in late 2023 after BP determined that he had misled the company over his past relationships with colleagues.

Auchincloss stepped down in December, and the company named Meg O'Neill as his successor.

Manifold’s was challenged almost immediately when shareholders defeated company resolutions this spring that would have allowed BP to reduce climate reporting requirements and move its annual meetings fully online. Some 18% of shareholders voted against Manifold’s election as chairman, a high level of opposition for an appointment that is generally rubber stamped by investors.

Legal & General, one of Britain’s largest insurers and investment companies, said at the time that Manifold was responsible for resolutions that would have had “a negative impact on shareholders’ insight into how the company is addressing financially material long-term risks, and seizing long-term value creation opportunities, associated with the energy transition,” the Times of London reported on April 23.

Glass Lewis, an influential shareholder advisor, urged investors to vote against Manifold’s election. It held that BP took “unprecedented action” by refusing to consider a resolution from a group of climate activists and pension funds hoping to force the board to create an alternative strategy should demand for fossil fuels decline, the Times reported.

Like other big oil companies, BP has struggled with falling demand in recent years.

BP’s 2025 earnings fell 16% from a year earlier to $7.49 billion as the price of Brent crude, a benchmark for international oil prices, dropped 16.9%. The company’s preferred measure of earnings is underlying replacement cost profit, which adjusts for one-time items and fluctuations in the market value of inventories. Net income plunged 86% to $55 million.

Last year there were media reports that British oil giant Shell was in talks to buy rival BP. Shell denied the reports at the time.

The search for a new chair is underway, BP said Tuesday. Shares of BP Plc slid nearly 5% in midday trading on the NYSE.

Houston startup nets new funding to accelerate methane leak detection

fresh funding

Houston climatech startup Aquanta Vision has secured pre-seed funding to accelerate the commercialization of its methane leak detection software.

EIC Rose Rock participated in the round, joining investors like Marathon Petroleum Corporation, Chevron Technology Ventures, Ecosphere Ventures, and Odyssey Energy Advisors. The investment follows successful field trials for Aquanta Vision’s optical gas imaging (OGI) detection software, according to the company.

“This investment highlights our shared excitement as our patented novel technology improves detection levels for OGI camera operators,” Babur Ozden, Aquanta Vision’s CEO and founder, said in a news release. “The funding from EIC Rose Rock enables us to strategically accelerate this impact.”

Aquanta Vision’s OGI technology features an automated detection layer through an add-on app that improves methane detectability without requiring new hardware. It installs in minutes, runs locally and provides real-time, in-flight plume visualization for inspections with drone-mounted and handheld cameras.

“We are excited to partner with Aquanta Vision to scale and deploy this world-class technology that enables the energy industry to continue to deliver the secure, reliable and affordable energy that drives the American economy,” David Clouse, managing director of the EIC Rose Rock fund, added in the news release.

The company has partnered with Teledyne Flir and Sierra Olympia, makers of one of the world’s largest deployed fleet of handheld and drone-mounted optical gas imaging cameras used in industrial inspections. AquantaVision is now working with Teledyne Flir’s product team, as well as Sierra Olympia and its OEM partners.

Aquanta Vision has estimated that methane leaks cost the U.S. energy industry billions of dollars each year, with 60 percent of leaks going undetected, and methane leaks accounting for around 10 percent of natural gas's contribution to climate change, according to MIT’s climate portal.