Texas A&M pilots $59M program for autonomous helicopters to fight wildfires

Autonomous firefighting

Texas A&M will work with DARPA to test fully automated and semi-automated helicopters to combat wildfires in the state. Image by Colie Wertz. Courtesy DARPA.

Texas A&M University's George H.W. Bush Combat Development Complex will receive $59.8 million to develop a way for autonomous helicopters to fight to wildfires in the state.

The funds appropriated from the Texas legislature will go toward acquiring up to four UH-60 Blackhawk helicopters and developing their autonomous configuration, as well as to facilities, tools and equipment for research, testing and integration of firefighting capabilities over the next two years, according to a release from Texas A&M.

The BCDC was also selected to work with the Defense Advanced Research Projects Agency (DARPA) on its Aircrew Labor In-cockpit Automation System (ALIAS), which works to reduce risks for pilots and aircraft in high-risk missions.

"Working together with Texas, we have an opportunity to use autonomous helicopters to completely change the conversation around wildfires from containing them to extinguishing them,” Stuart Young, DARPA program manager for ALIAS, said in a release from DARPA.

The BCDC program will incorporate DARPA's automation toolkit, known as MATRIX, which has already demonstrated fully autonomous flight capabilities on approximately 20 aircraft platforms. MATRIX, which was developed by California-based Sikorsky Aircraft, was previously tested in proof-of-concept demonstrations of autonomous fire suppression in California and Connecticut earlier this year, according to DARPA.

“I am proud we are working with DARPA in a manner that will benefit Texas, the Department of Defense, and commercial industry,” retired Maj. Gen. Tim Green, director of the BCDC, said in the release. “Wildland firefighting will be the first mission application fully developed to take advantage of over a decade of work by DARPA on its Aircrew Labor In-cockpit Automation System (ALIAS).”

The BDC will test fully automated and semi-automated ALIAS-equipped aircraft on highly complex firefighting tasks. The complex will also work with Texas A&M University–Corpus Christi’s Autonomy Research Institute, the Texas Division of Emergency Management, the Texas A&M Engineering Extension Service, the Texas A&M Forest Service and the Texas A&M Engineering Experiment Station on the project.

John Diem, director of the innovation proving grounds at BCDC, will serve as principal investigator for the project.

“Advancing system capabilities through the last stages of technology maturation, operational testing, and concept development is always hugely exciting and rewarding,” Diem added in the release. “The best part of my career has been seeing systems I tested move into the hands of warfighters. Now, I’m proud to help ensure ALIAS is safe and effective in protecting life and property – and we will do that through realistic and challenging testing.”

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Two researches at Texas A&M University have developed a diagnostic software for monitoring electrical equipment to prevent outages and even wildfires. Getty Images

Texas A&M University technology used to prevent outages and wildfires

hot tech

The threat of wildfires is on most people's minds as Australia suffers from devastating, uncontrollable fires in its southeastern region. While Australia's fires are alleged to be caused by natural occurrences, some, like the California wildfires of late 2019, are caused by electrical malfunctions and sparks

Engineers at Texas A&M University have found a solution for preventing these electricity-caused wildfires — and the subsequently caused electrical outages — with their diagnostic software called Distribution Fault Anticipation, or DFA. The software can interpret variations in the electrical current on utility circuits — usually caused by issues with the equipment — that can cause outages or spark fires.

A Texas A&M research team — spearheaded by B. Don Russell, professor of electrical and computer engineering, and research professor Carl L. Benner — is behind the DFA software.

The technology has been tested at over a dozen utilities in Texas over the past six years, according to a news release, and now two Californian utility companies — Pacific Gas & Electric and Southern California Edison — will be testing DFA. In 2018, a state law from the California Public Utilities Commission began requiring utilities to submit Wildfire Mitigation Plans, per the release.

Up next: The researchers are preparing to test the software in Australia and New Zealand.

DFA's specific algorithms are based on and refined through 15 years of research. Russell and Benner liken DFA to the diagnostic tools cars use, and, comparatively, the utilities industry is way behind the times.

"Utility systems operate today like my 1950s Chevy," Russell says in the release. "They have some fuses and breakers and things, but they really don't have anything diagnostic. They don't have that computer under the hood telling them what's about to go wrong."

B. Don Russell, professor of electrical and computer engineering, led the research at A&M. Photo via A&M

Normal wear and tear on electrical equipment is inevitable, but it's hard for inspectors to visually see this damage. Until this DFA software, utilities had no choice but to react to failures or outages, rather than put money into prevention. The software allows for these companies to better see what could potentially cause issues. And, now with the ability to factor in dry conditions and weather, the software can even predict potential wildfires.

"Power is being turned off with nothing known to be wrong with a given circuit," Russell says in the release. "Utilities need a crystal ball, something telling them which circuit is going to start a fire tomorrow because it is already unhealthy. We are kind of that crystal ball."

DFA has the potential to prevent outages and devastation caused by wildfires, and it also is a huge economic solution for utilities companies — especially the ones reeling from the recent fires in California.

Pacific Gas & Electric, which is testing nine DFA devices, is the state's largest utility company and recently filed for bankruptcy due to a near $100 billion required from settlements following recent fires. By comparison, a DFA device costs only $15,000, according to the release.

"DFA is a new tool, allowing utilities to transform their operating procedures to find and fix problems before catastrophic failures." Russell says in the release. "Utilities operators need real time situational awareness of the health of their circuits…..DFA does that."

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Rice student startup lands $1.85M to launch medical drone network

critical cargo

Students at Rice University have developed a medical cargo drone transport system to help deliver sensitive medical supplies and improve mobile healthcare efforts.

Haast Autonomous is the brainchild of graduating seniors Ege Halac, Jason Chen and Santiago Brent, who got their venture idea off the ground with help from the Liu Idea Lab for Innovation and Entrepreneurship (Lilie) Summer Venture Studio. The founders have developed the prototype at Rice’s Oshman Engineering Design Kitchen (OEDK) with fellow Rice researchers Felix Hasson, Ethan Javedan, Kenna Sanders and Caden Schmidt.

The startup has raised $1.85 million in pre-seed funding, according to Rice. The founders plan to focus on Haast full-time following graduation. They said they aim to launch pilot trials in 2027 and head to market later that year.

“We need better alternatives for a fast, safe and on-demand system of transport for life-critical cargo,” Halac said in a news release from Rice.

The Haast team has developed a custom aircraft with software that manages dispatch, routes, and chain of custody to assist in how materials move between sites in centralized medical systems. Generally, the transportation of medical supplies and materials between facilities and points of care relies on ground shipping or expensive air transport.

Haast Autonomous’ aircraft can take off and land vertically, and is designed around a mission profile of 50 to 62 miles. It can carry a payload of at least 5 pounds, with future versions intended to scale up in size. It also includes a built-in payload bay that regulates temperature, pressure, vibration and tilt to protect sensitive contents such as patient samples, antivenom or poisoning kits and radioligands or other therapies, according to Rice.

At first, the company envisioned the mission to be centered around transplants, but saw the product being best suited for a variety of operations.

“What we realized is that the platform we are building is suited for medicine, but it really underlies a much larger problem of mission-critical transport across industries,” Brent added in the news release. “We are building the fastest, most secure logistics chain for the world’s most sensitive cargo.”

Haast Autonomous was recognized at the 2026 Oshman Engineering Design Showcase and Competition, where it won Best Aerospace or Transportation Technology. It also performed well in the 2026 Napier Rice Launch Challenge.

In the future, Haast Autonomous plans to deploy a fleet of aircraft. The software will be designed to assist hospitals in requesting flights and tracking deliveries in real time.

“The drone is only part of the solution,” Chen also added in the release. “What matters is moving something from point A to point B in a way that fits into how hospitals already operate.”

Houston scientist wins prestigious Pew Scholar award for brain cancer research

standout scholar

Christina Tringides, an assistant professor of materials science and nanoengineering at Rice University, is one of 21 scientists to win a prestigious Pew Biomedical Scholar award.

She is the first faculty member from Rice to win the distinction, which provides $300,000 over four years for advances in biomedicine, according to the university. The awards are granted to researchers who are in the first few years at the assistant professor level.

In Tringides’ case, the funding will support her innovative new method of modeling glioblastoma, a common and extremely aggressive form of brain cancer. Thanks to producing its own blood supply, glioblastoma spreads quickly, weaving tendrils of blighted tissue throughout the brain. Because of this, surgery is difficult and conventional therapies ineffective.

Understanding the way glioblastoma spreads is crucial to the search for a cure. Tringides is using hydrogels that mimic the brain’s extracellular matrix. Using cultures and a microscopic labyrinth, her team can see how the cancer spreads, bonds with neurons and changes cell wall activity. Essentially, Tringides has devised an intelligence test for tumors in hopes of learning how to outsmart them.

“As cancer crawls through the maze, we can look at how it is interacting with the neurons more and more, and measure how electrical activity is changing as a result,” she said in a news release from Rice.

Examining how cancer cells grow can reveal which conditional changes slow them down. Finding ways to alter the structure of brain matter in a way that makes it inhospitable to the cancer could lead to therapies that would impede growth or even reverse it. Using her custom-made ersatz brain maze makes it easier to observe changes than it would be in a patient’s brain.

“Imaging synapses is time-intensive ⎯ it can involve large data files that are hard to visualize, but if we know that the only place where we might have a synapse is this tiny 1-by-4-by-10 micron channel, it makes it much faster and reliable to image them,” Tringides said.

Born in Ames, Iowa, Tringides received her doctorate in biophysics from Harvard before joining Rice in 2024 through a Cancer Prevention and Research Institute of Texas (CPRIT) recruitment award.

Her research was also one of the first four projects to receive research awards through the Rice Brain Institute and TMC Neuro Collaboration Seed Grant Program.

Texas residents earn 11th highest income in U.S., says 2026 study

Money Matters

A new WalletHub study comparing income disparities across America has ranked Texas residents No. 11 on the list of states with the highest earning residents in the nation.

The report, "States Where People Have the Highest Income (2026)," analyzed U.S. Census Bureau income data in all 50 states and the District of Columbia. The report evaluated the average annual income of the top five percent, the median annual household income, and the average annual income of the bottom 20 percent of residents in every state, all adjusted for the cost of living.

The report's data revealed the top five percent of Texans, the highest earners, make $520,378 on average yearly after adjusting for the cost of living. That's the seventh-highest income among the top five percent of earners nationwide.

Meanwhile, the median annual income of a Texas household is just under $76,000. The bottom 20 percent of Texas residents make $17,651 a year, the report found.

For additional context, the latest data from the Federal Reserve shows an American household's median yearly income is about $83,700. WalletHub analyst Chip Lupo also found that the highest earning 10 percent of individuals in the U.S. earn over 12 times more than those in the lowest-earning 10 percent, based on the latest Census data.

"By measuring the income of various percentiles against a state's median income, we can better identify where income disparities are more prevalent, which could help us better understand why residents of certain states struggle more to make ends meet," said Lupo.

Virginia is the state where residents earn the highest income in the U.S., WalletHub said. Based on the report's findings, the top five percent of Virginians make $545,097 on average per year after adjusting for the cost of living. The median annual income of a Virginia household comes out to $95,339, and the bottom 20 percent of residents make $19,671 annually on average.

Conversely, West Virginia is the state where people have the lowest income in the U.S. A West Virginia household makes a median annual income of $56,610, the third-lowest nationally, and the bottom 20 percent of residents make $13,260 on average per year, which is the fifth-lowest in the nation. The top five percent of West Virginians make $372,218 on average per year.

The top 10 states where residents have the highest income are:

  • No. 1 – Virginia
  • No. 2 – New York
  • No. 3 – New Jersey
  • No. 4 – Washington
  • No. 5 – Connecticut
  • No. 6 – Utah
  • No. 7 – Colorado
  • No. 8 – Minnesota
  • No. 9 – Illinois
  • No. 10 – Massachusetts

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This article originally appeared on CultureMap.com.

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