Dyan Gibbens translated her Air Force experience with unmanned missiles into a drone services company. Courtesy of Alice

Dyan Gibbens found her dream career. She studied engineering, learned to fly at the United States Air Force Academy, went into pilot training, and served as engineering acquisitions officer managing stealth nuclear cruise missiles. She even went on to support Air Force One and Global Hawk UAS engineering and logistics. She dedicated five years to active service before transitioning to the reserves.

"When I went to transition, I learned I was permanently disqualified from ever serving again," Gibbens said. "It was devastating to me, because all I've ever wanted to do was serve."

She went into a doctorate program — she already had her MBA — and was close to finishing up when her drone startup took flight. Trumbull Unmanned provides drone services to the energy sector for various purposes. With her experience as a pilot and managing unmanned missiles, she knew the demand for drones was only growing — and, being from Texas, she knew what industry to focus on.

"I wanted to start a company that uses unmanned systems or drones to improve safety and improve the environment and support energy,"

InnovationMap: What exactly does Trumbull Unmanned do?

Dyan Gibbens: We fly drones in challenging and austere environments to collect and analyze data for the energy sector. We fly across upstream, midstream, and downstream either on or off shore. We focus on three areas: digital transformation, inspection and operations, and technology development and integration.

The types data we collect and analyze could be LiDAR — light detection and ranging — to multispectral — to see the help of different properties — to visible — to perform tech-enabled inspections. We've recently hired inspectors in house as well. On LiDAR, we just hired a subject matter expert.

IM: So, the company is growing. What else is new for Trumbull?

DG: We just signed a few five-year agreements with supermajors. We're excited about that and the new hires. We're starting to do more on communications and situational awareness. We're doing more in energy and now in the government.

IM: What were some early challenges you faced?

DG: We are 100 percent organically funded — from our savings and from client contracts. Our first client was ExxonMobil. Our second client was Chevron. We had to prove ourselves over and over. We had to work hard to earn and then maintain that business. For us, it was also adjusting to a fluctuation in cash flow. It was going from a steady job to betting on yourself, and we didn't know anyone in Houston.

IM: What's the state of drone technology in the field?

DG: We've continued to see a hybrid approach toward services. Meaning, there's an in-house component and outsourced component. On the outsourced component, we intend to provide that for our clients. On the in-house component, while we don't train the masses, we do train our clients on request. We've promoted that model from the beginning. We think it makes sense that they are trained to do something simple, like take a picture, but for some of the more difficult projects, they outsource to us.

We're going to continue to see increased autonomy. There are really some amazing things already in autonomy, but there's still a lot of challenges flying in dense environments such as refineries and plants.

IM: How is Houston's startup scenes for veterans? What resources are out there?

DG: The way I see it is veterans have made a commitment to serve us, so we should make a commitment to serve them. That's my philosophy. Large companies have different programs, which is great, and there are entities such as Combined Arms, which has full services for transitioning veterans where you can go in and one-stop shop to get support from everything like getting connected to the VA to help working through PTSD to getting help transitioning to business. There are also really good Service Academy networks. More and more opportunities exist to step up to serve veterans.

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Portions of this interview have been edited.

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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.”