Three UH researchers are revolutionizing the way we think the brain works. Andriy Onufriyenko/Getty Images

While a lot of scientists and researchers have long been scratching their heads over complicated brain functionality challenges, these three University of Houston researchers have made crucial discoveries in their research.

From dissecting the immediate moment a memory is made or incorporating technology to solve mobility problems or concussion research, here are the three brain innovations and findings these UH professors have developed.

Brains on the move

Professor of biomedical engineering Joe Francis is reporting work that represents a significant step forward for prosthetics that perform more naturally. Photo courtesy of UH Research

Brain prosthetics have come a long way in the past few years, but a UH professor and his team have discovered a key feature of a brain-computer interface that allows for an advancement in the technology.

Joe Francis,a UH professor of biomedical engineering, reported in eNeuro that the BCI device is able to learn on its own when its user is expecting a reward through translating interactions "between single-neuron activities and the information flowing to these neurons, called the local field potential," according to a UH news release. This is all happening without the machine being specifically programmed for this capability.

"This will help prosthetics work the way the user wants them to," says Francis in the release. "The BCI quickly interprets what you're going to do and what you expect as far as whether the outcome will be good or bad."

Using implanted electrodes, Francis tracked the effects of reward on the brain's motor cortex activity.

"We assume intention is in there, and we decode that information by an algorithm and have it control either a computer cursor, for example, or a robotic arm," says Francis in the release.

A BCI device would be used for patients with various brain conditions that, as a result of their circumstances, don't have full motor functionality.

"This is important because we are going to have to extract this information and brain activity out of people who cannot actually move, so this is our way of showing we can still get the information even if there is no movement," says Francis.

Demystifying the memory making moments

Margaret Cheung, a UH professor, is looking into what happens when a memory is formed in the brain. Photo courtesy of UH Research

What happens when a brain forms a new memory? Margaret Cheung, a UH professor in the school of physics, computer science, and chemistry, is trying to find out.

Cheung is analyzing the exact moment a neuron forms a memory in our brains and says this research will open doors to enhancing memory making in the future.

"The 2000 Nobel laureate Eric Kandel said that human consciousness will eventually be explained in terms of molecular signaling pathways. I want to see how far we can go to understand the signals," says Cheung in a release.

Cheung is looking at calcium in particular, since this element impacts most of cellular life.

"How the information is transmitted from the calcium to the calmodulin and how CaM uses that information to activate decisions is what we are exploring," says Cheung in the release. "This interaction explains the mechanism of human cognition."

Her work is being funded by a $1.1 million grant from the National Institute of General Medical Science from the National Institutes of Health, and she's venturing into uncharted territories with her calcium signaling studies. Previous research hasn't been precise or conclusive enough for real-world application.

"In this work we seek to understand the dynamics between calcium signaling and the resulting encoded CaM states using a multiphysics approach," says Cheung. "Our expected outcome will advance modeling of the space-time distribution of general secondary messengers and increase the predictive power of biophysical simulations."

New tech for brain damage treatment

Badri Roysam, chair of the University of Houston Department of Electrical and Computer Engineering, is leading the project that uncovering new details surrounding concussions. Photo courtesy of UH Research

Concussions and brain damage have both had their fair shares of question marks, but this UH faculty member is tapping into new technologies to lift the curtain a little.

Badri Roysam, the chair of the University of Houston Department of Electrical and Computer Engineering, is heading up a multimillion-dollar project that includes "super microscopes" and the UH supercomputer at the Hewlett Packard Enterprise Data Science Institute. Roysam calls the $3.19 million project a marriage between these two devices.

"By allowing us to see the effects of the injury, treatments and the body's own healing processes at once, the combination offers unprecedented potential to accelerate investigation and development of next-generation treatments for brain pathologies," says Roysam in a release.

The project, which is funded by the National Institute of Neurological Disorders and Stroke (NINDS), is lead by Roysam and co-principal investigator John Redell, assistant professor at UTHealth McGovern Medical School. The team also includes NINDS scientist Dragan Maric and UH professors Hien Van Nguyen and Saurabh Prasad.

Concussions, which affect millions of people, have long been mysterious to scientists due to technological limitations that hinder treatment options and opportunities.

"We can now go in with eyes wide open whereas before we had only a very incomplete view with insufficient detail," says Roysam in the release. "The combinations of proteins we can now see are very informative. For each cell, they tell us what kind of brain cell it is, and what is going on with that cell."

The technology and research can be extended to other brain conditions, such as strokes, brain cancer, and more.

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”