By prioritizing the deployment of smart, energy-efficient technologies, we can ensure that Houston remains at the forefront of the global energy landscape, setting the standard for other cities to follow. Photo via Getty Images

As Houston, the energy capital of the world, navigates the global energy transition, the city is uniquely positioned to lead by example. This transition isn’t just about shifting from fossil fuels to renewable energy; it’s about creating an ecosystem where corporations, research institutions, startups, and investors collaborate to develop and implement innovative technologies.

One of the most promising areas for reducing energy consumption and minimizing environmental impact is in heating, ventilation, and air conditioning, or HVAC, systems.

Houston’s intense weather patterns demand efficient and adaptable climate control solutions. Traditional HVAC systems, while effective in maintaining indoor comfort, often operate on fixed settings that don’t account for real-time changes in occupancy or weather. This results in energy waste and increased utility costs — issues that can be mitigated by integrating artificial intelligence into HVAC systems.

AI-driven HVAC systems offer a dynamic approach to heating and cooling, learning from user preferences and environmental conditions to optimize performance. These systems use advanced algorithms to continuously adjust their operation, ensuring that energy is used only when and where it’s needed. This results in up to 30 percent greater energy efficiency compared to conventional systems, translating into significant savings for consumers and a reduction in overall energy demand.

For a city like Houston, where energy consumption is a critical concern, the widespread adoption of AI-integrated HVAC systems could have a substantial impact. By optimizing energy use in homes, offices, and industrial spaces, these systems help reduce the strain on the electrical grid, particularly during peak usage times. Additionally, they contribute to lowering greenhouse gas emissions, aligning with Houston’s broader sustainability goals.

The potential of AI in HVAC systems extends beyond efficiency and environmental benefits. These systems enhance the user experience by offering precise control over indoor climates, adapting to individual preferences, and responding to external conditions in real-time. This level of customization not only improves comfort but also supports a smarter, more sustainable approach to energy management.

Houston’s energy transition requires the collective efforts of all sectors. While large corporations and government entities play a significant role, the contributions of startups, research institutions, and energy service companies are equally important. These entities are at the forefront of developing technologies that address both the economic and environmental challenges of our time. Investors are increasingly recognizing the value of funding solutions that offer long-term sustainability alongside financial returns, further driving the adoption of innovative energy technologies.

The integration of AI into HVAC systems represents a crucial step forward in this journey. As Houston continues to evolve as a leader in energy innovation, embracing advanced technologies like AI-driven HVAC systems will be key to achieving a more sustainable and resilient energy future. These systems are not just a technological advancement—they are a strategic tool in the broader effort to reduce energy consumption, lower emissions, and create a healthier environment for all.

At the heart of Houston’s energy transition is the commitment to building a future that balances growth with sustainability. By prioritizing the deployment of smart, energy-efficient technologies, we can ensure that Houston remains at the forefront of the global energy landscape, setting the standard for other cities to follow. As we move forward, the integration of AI into our energy infrastructure, particularly in HVAC systems, will be instrumental in shaping a sustainable and prosperous future for Houston and beyond.

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Trevor Schick is the president of KOVA, a Texas company creating sustainable solutions in building development.

This article originally ran on EnergyCapital.
The four-year agreement will support the team’s ongoing work on removing PFAS from soil. Photo via Rice University

Houston chemist earns $12M grant to support innovative soil pollutant removal process

making moves

A Rice University chemist James Tour has secured a new $12 million cooperative agreement with the U.S. Army Engineer Research and Development Center on the team’s work to efficiently remove pollutants from soil.

The four-year agreement will support the team’s ongoing work on removing per- and polyfluoroalkyl substances (PFAS) from contaminated soil through its rapid electrothermal mineralization (REM) process, according to a statement from Rice.

Traditionally PFAS have been difficult to remove by conventional methods. However, Tour and the team of researchers have been developing this REM process, which heats contaminated soil to 1,000 C in seconds and converts it into nontoxic calcium fluoride efficiently while also preserving essential soil properties.

“This is a substantial improvement over previous methods, which often suffer from high energy and water consumption, limited efficiency and often require the soil to be removed,” Tour said in the statement.

The funding will help Tour and the team scale the innovative REM process to treat large volumes of soil. The team also plans to use the process to perform urban mining of electronic and industrial waste and further develop a “flash-within-flash” heating technology to synthesize materials in bulk, according to Rice.

“This research advances scientific understanding but also provides practical solutions to critical environmental challenges, promising a cleaner, safer world,” Christopher Griggs, a senior research physical scientist at the ERDC, said in the statement.

Also this month, Tour and his research team published a report in Nature Communications detailing another innovative heating technique that can remove purified active materials from lithium-ion battery waste, which can lead to a cleaner production of electric vehicles, according to Rice.

“With the surge in battery use, particularly in EVs, the need for developing sustainable recycling methods is pressing,” Tour said in a statement.

Similar to the REM process, this technique known as flash Joule heating (FJH) heats waste to 2,500 Kelvin within seconds, which allows for efficient purification through magnetic separation.

This research was also supported by the U.S. Army Corps of Engineers, as well as the Air Force Office of Scientific Research and Rice Academy Fellowship.

Last year, a fellow Rice research team earned a grant related to soil in the energy transition. Mark Torres, an assistant professor of Earth, environmental and planetary sciences; and Evan Ramos, a postdoctoral fellow in the Torres lab; were given a three-year grant from the Department of Energy to investigate the processes that allow soil to store roughly three times as much carbon as organic matter compared to Earth's atmosphere.

By analyzing samples from the East River Watershed, the team aims to understand if "Earth’s natural mechanisms of sequestering carbon to combat climate change," Torres said in a statement.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also

granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

The research outfit says North America leads global AI growth in oil and gas, with Houston playing a pivotal role. Photo via Getty Images

Report: Houston rises as emerging hub for $6B global AI in oil and gas industry

eyes on ai

Houston is emerging as a hub for the development of artificial intelligence in the oil and gas industry — a global market projected to be worth nearly $6 billion by 2028.

This fresh insight comes from a report recently published by ResearchAndMarkets.com. The research outfit says North America leads global AI growth in oil and gas, with Houston playing a pivotal role.

“With AI-driven innovation at its core, the oil and gas industry is set to undergo a profound transformation, impacting everything from reservoir optimization to asset management and energy consumption strategies — setting a new standard for the future of the sector,” says ResearchAndMarkets.com.

The research company predicts the value of the AI sector in oil and gas will rise from an estimated $3.2 billion in 2023 and $3.62 billion in 2024 to $5.8 billion by 2028. The report divides AI into three categories: software, hardware, and hybrids.

As cited in the report, trends that are sparking the explosion of AI in oil and gas include:

  • Stepped-up use of data
  • Higher demand for energy efficiency and sustainability
  • Automation of repetitive tasks
  • Optimization of exploration and drilling
  • Enhancement of safety

“The oil and gas industry’s ongoing digitization is a significant driver behind … AI in the oil and gas market. Rapid adoption of AI technology among oilfield operators and service providers serves as a catalyst, fostering market growth,” says ResearchAndMarkets.com.

The report mentions the Open AI Energy Initiative as one of the drivers of increased adoption of AI in oil and gas. Baker Hughes, C3 AI, Microsoft, and Shell introduced the initiative in February 2021. The initiative enables energy operators, service providers, and vendors to create sharable AI technology for the oil and gas industry.

Baker Hughes and C3 AI jointly market AI offerings for the oil and gas industry.

Aside from Baker Hughes, Microsoft, and Shell, other companies with a significant Houston presence that are cited in the AI report include:

  • Accenture
  • BP
  • Emerson Electric
  • Google
  • Halliburton
  • Honeywell
  • Saudi Aramco
  • Schlumberger
  • TechnipFMC
  • Weatherford International
  • Wood

Major AI-related trends that the report envisions in the oil and gas sector include the:

  • Digital twins for asset modeling
  • Autonomous robotics
  • Advanced analytics for reservoir management
  • Cognitive computing for decision-making
  • Remote monitoring and control systems

“The digitization trend within the oil and gas sector significantly propels the AI in oil and gas market,” says the report.

The project will focus on testing 5G networks for software-centric architectures. Photo via Getty Images

Rice lands federal funding for new 5G testing framework

money moves

A team of Rice University engineers has secured a $1.9 million grant from the U.S. Department of Commerce’s National Telecommunications and Information Administration to develop a new way to test 5G networks.

The project will focus on testing 5G networks for software-centric architectures, according to a statement from Rice. The funds come from the NTIA's most recent round of grants, totaling about $80 million, as part of the $1.5 billion Public Wireless Supply Chain Innovation Fund. Other awards went to Virginia Tech, Northeastern University, DISH Wireless, and more.

The project at Rice will be led by Rahman Doost-Mohammady, an assistant research professor of electrical and computer engineering; and Ashutosh Sabharwal, the Ernest Dell Butcher Professor of Engineering and chair of the Department of Electrical and Computer Engineering. Santiago Segarra, assistant professor of electrical and computer engineering and an expert in machine learning for wireless network design, is also a co-principal investigator on this project.

"Current testing methodologies for wireless products have predominantly focused on the communication dimension, evaluating aspects such as load testing and channel emulation,” said Doost-Mohammady said in a statement. “But with the escalating trend toward software-based wireless products, it’s imperative that we take a more holistic approach to testing."

The new framework will be used to "assess the stability, interoperability, energy efficiency and communication performance of software-based machine learning-enabled 5G radio access networks (RANs)," according to Rice, known as ETHOS.

Once created, the team of researchers will use the framework for extensive testing using novel machine learning algorithms for 5G RAN with California-based NVIDIA's Aerial Research Cloud (ARC) platform. The team also plans to partner with other industry contacts in the future, according to Rice.

“The broader impacts of this project are far-reaching, with the potential to revolutionize software-based and machine learning-enabled wireless product testing by making it more comprehensive and responsive to the complexities of real-world network environments,” Sabharwal said in the statement. “By providing the industry with advanced tools to evaluate and ensure the stability, energy efficiency and throughput of their products, our research is poised to contribute to the successful deployment of 5G and beyond wireless networks.”

Late last year, the Houston location of Greentown Labs also landed funds from the Department of Commerce. The climatetech startup incubator was named to of the Economic Development Administration's 10th cohort of its Build to Scale program and will receive $400,000 with a $400,000 local match confirmed.

Houston-based nonprofit accelerator, BioWell, also received funding from the Build to Scale program.
After winning CodeLaunch last year, Matt Bonasera, enterprise architect at E360, looks forward to the future of the energy tech company. Photo by Natalie Harms/InnovationMap

Growing Houston energy tech company aims to improve building energy efficiency, air quality

A BREATH OF FRESH AIR

Houston-based energy efficiency company Energy 360 is working to balance what is often viewed as a tradeoff between high quality clean air and energy efficiency within corporate buildings.

E360 is a subsidiary of InTech Energy, a software company that provides a variety of energy efficiency solutions for commercial spaces. The enterprise architect of E360, Matt Bonasera, says the platform functions as an energy management system as it monitors air quality, greenhouse gas emissions, and can adjust electricity usage among a host of other outputs.

“We are trying to holistically look at each building instead of just looking at it purely from the energy efficiency perspective or purely from looking at it from a health perspective,” Bonasera says.

Bonasera says E360 is the “last mile” in the energy transition, ensuring companies stick to their cost and energy-saving tactics after implementing them via consistent monitoring. E360 also helps users acquire energy efficiency grants from the U.S. government, using the platform to keep corporations accountable to their energy-saving goals.

“The market is really desperate for energy efficiency and there’s a lot of low hanging fruit out there. Only 10 percent of buildings have any energy efficiency mechanisms whatsoever,” Bonasera shares.

Bonasera says E360 predominantly works with corporations that own their own commercial space, particularly charter schools, churches, and Native American reservations. Though the platform is designed to save building-owners money and can assist commercial subletters, Bonasera says E360’s users tend to have a personal interest in their own air quality and emissions, prompting them to use the system.

Bonasera says E360 has the potential to dramatically improve the learning environment in schools since contracting with Stafford ISD and several charter schools. After implementing E360’s air quality monitoring and purifying system, Bonasera said schools experienced a significant drop in absenteeism.

“If you just improve the air quality in the building, students will do better, they will have better grades and we will have better outcomes,” Bonasera says.

After initially rolling their product out in California, Bonasera says E360 is gaining serious traction in the South, particularly in Texas. Following the devastating Winter Storm Uri, Bonasera says there has been increased interest in systems like E360 as Texans are hyper-aware of the delicate state of the energy grid.

“In Texas people are looking for ways to be more energy efficient and self-sufficient and this is a way that we help them,” Bonasera shares.

E360 won the top prize at CodeLaunch, a traveling seed-stage accelerator, in March 2023 and Bonasera says he is excited about what the future holds as they continuously release new updates to the platform.

“I think we’re at an inflection point in the company and I think this is going to be a really pivotal year for us in growth,” Bonasera says.

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This article originally ran on EnergyCapital.

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Texas cybersecurity co. expands unique train-to-hire model to Houston

job search

It’s increasingly more difficult to ensure the confidentiality, integrity, and availability of proprietary data and information in the ever-changing, ever-evolving digital world.

Cyberattacks, including malware, phishing, and ransomware, are becoming increasingly common and sophisticated, posing a consistent threat to a company’s sustainability and bottom line.

To combat that trend, Nukudo, a San Antonio-based cybersecurity workforce development company, is expanding its initiative to bridge the global cybersecurity talent gap through immersive training and job placement to Houston.

“We saw that there was a need in the market because there's a shortage of skilled manpower within the cybersecurity industry and other digital domains,” says Dean Gefen, CEO of NukuDo. “So, our initial goal was to take a large pool of people and then make them to be fully operational in cybersecurity in the shortest amount of time.”

The company refers to the plan as the “training-to-employment model,” which focuses on providing structured training to select individuals who then acquire the skills and knowledge necessary to secure and maintain fruitful careers.

The company identifies potential associates through its proprietary aptitude test, which recognizes individuals who possess the innate technical acumen and potential for success in various cybersecurity roles, regardless of their level of education.

“We take in people from all walks of life, meaning the program is purely based on the associate’s potential,” Gefen says. “We have people who were previously aircraft engineers, teachers, graphic designers, lawyers, insurance agents and so forth.”

Once selected, associates are trained by cybersecurity experts while gaining hands-on experience through scenario-based learning, enabling them to be deployed immediately as fully operational cybersecurity professionals.

The program training lasts just six months—all paid—followed by three years of guaranteed employment with NukuDo.

While in training, associates are paid $ 4,000 per month; then, they’re compensated by nearly double that amount over the next three years, ultimately pushing their salaries to well into the six figures after completing the entire commitment.

In addition to fostering a diverse talent pipeline in the cybersecurity field, NukuDo is creating a comprehensive solution to address the growing shortage of technical talent in the global workforce.

And arming people with new marketable skills has a litany of benefits, both professional and personal, Gefen says.

“Sometimes, we have associates who go on to make five times their previous salary,” says Gefen. “Add to that fact that we had someone that had a very difficult life beforehand and we were able to put him on a different path. That really hits home for us that we are making a difference.

Nulkudo currently has partnerships with companies such as Accenture Singapore and Singapore Airlines. Gefen says he and his team plans to have a new class of associates begin training every month by next year and take the model to the Texas Triangle (Houston, Austin and Dallas)—then possibly nationwide.

“The great thing about our program is that we train people above the level of possible threat of replacement by artificial intelligence,” Gefen says. “But what we are also doing, and this is due to requirements that we have received from clients that are already hiring our cyber professionals, is that we are now starting to deliver AI engineers and data scientists in other domains.”

“That means that we have added more programs to our cybersecurity program. So, we're also training people in data science and machine learning,” he continues.

All interested candidates for the program should be aware that a college degree is not required. NukuDo is genuinely interested in talented individuals, regardless of their background.

“The minimum that we are asking for is high school graduates,” Gefen says. “They don't need to have a college degree; they just need to have aptitude. And, of course, they need to be hungry to make this change.”

2 Houston universities declared among world’s best in 2026 rankings

Declaring the Best

Two Houston universities are in a class of their own, earning top spots on a new global ranking of the world's best universities.

Rice University and University of Houston are among the top 1,200 schools included in the QS World University Rankings 2026. Ten more schools across Texas make the list.

QS (Quacquarelli Symonds), a London-based provider of higher education data and analytics, compiles the prestigious list each year; the 2026 edition includes more than 1,500 universities from around the world. Factors used to rank the schools include academic reputation; employer reputation; faculty-student ratio; faculty research; and international research, students, and faculty.

In Texas, University of Texas at Austin lands at No. 1 in the state, No. 20 in the U.S., and No. 68 globally.

Houston's Rice University is close behind as Texas' No. 2 school. It ranks 29th in the U.S. and No. 119 in the world. Unlike UT, which fell two spots globally this year (from No. 66 to 68), Rice climbed up the charts, moving from 141st last year to No. 119.

University of Houston impresses as Texas' 4th highest-ranked school. It lands at No. 80 in the U.S. and No. 556 globally, also climbing about 100 spots up the chart.

Rice and UH are on a roll in regional, national, and international rankings this year.

Rice earned top-15 national rankings by both Niche.com and Forbes last fall. Rice claimed No. 1 and UH ranked No. 8 in Texas in U.S. News & World Report's 2025 rankings. Rice also topped WalletHub's 2025 list of the best colleges and universities in Texas for 2025.

More recently, in April, both UH and Rice made U.S. News' 2025 list of top grad schools.

In all, 192 U.S. universities made the 2026 QS World University Rankings — the most of any country. Topping the global list is the Massachusetts Institute of Technology (MIT).

“The results show that while U.S. higher education remains the global leader, its dominance is increasingly challenged by fast-rising emerging systems,” says the QS World University Rankings report. “A decade ago, 32 American universities [were] featured in the world’s top 100; today, that number has dropped to 26, and only 11 of these institutions have improved their position this year."

The 12 Texas universities that appear in the QS World University Rankings 2026 list are:

  • University of Texas at Austin, No. 20 in the U.S. and No. 68 in the world (down from No. 66 last year).
  • Rice University, No. 29 in the U.S. and No. 119 in the world (up from No. 141 last year).
  • Texas A&M University, No. 32 in the U.S. and No. 144 in the world (up from No. 154 last year).
  • University of Houston, No. 80 in the U.S. and No. 556 in the world (up from 651-660 last year).
  • University of Texas at Dallas, No. 85 in the U.S. and No. 597 in the world (down from 596 last year).
  • Texas Tech University, No. 104 in the U.S. and No. 731-740 in the world (unchanged from last year).
  • University of North Texas, No. 123 in the U.S. and No. 901-950 in the world (up from 1,001-1,200 last year)
  • Baylor University, tied for No. 136 in the U.S. and at No. 1,001-1,200 in the world (unchanged from last year).
  • Southern Methodist University, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas Arlington, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas at San Antonio, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas at El Paso, No. 172 in the U.S. and at 1,201-1,400 in the world (down from 1,001-1,200 last year).
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This article originally appeared on CultureMap.com.

Houston students develop new device to prepare astronauts for outer space

space race

Rice University students from the George R. Brown School of Engineering and Computing designed a space exercise harness that is comfortable, responsive, and adaptable and has the potential to assist with complex and demanding spacewalks.

A group of students—Emily Yao, Nikhil Ashri, Jose Noriega, Ben Bridges and graduate student Jack Kalicak—mentored by assistant professor of mechanical engineering Vanessa Sanchez, modernized harnesses that astronauts use to perform rigorous exercises. The harnesses are particularly important in preparing astronauts for a reduced-gravity space environment, where human muscles and bones atrophy faster than they do on Earth. However, traditional versions of the harnesses had many limitations that included chafing and bruising.

The new harnesses include sensors for astronauts to customize their workouts by using real-time data and feedback. An additional two sensors measure astronauts’ comfort and exercise performance based on temperature and humidity changes during exercise and load distribution at common pressure points.

“Our student-led team addressed this issue by adding pneumatic padding that offers a customized fit, distributes pressure over a large surface area to reduce discomfort or injuries and also seamlessly adapts to load shifts — all of which together improved astronauts’ performance,” Sanchez said in a news release. “It was very fulfilling to watch these young engineers work together to find innovative and tangible solutions to real-world problems … This innovative adjustable exercise harness transforms how astronauts exercise in space and will significantly improve their health and safety during spaceflights.”

The project was developed in response to a challenge posted by the HumanWorks Lab and Life Science Labs at NASA and NASA Johnson Space Center for the 2025 Technology Collaboration Center’s (TCC) Wearables Workshop and University Challenge, where teams worked to solve problems for industry leaders.

Rice’s adaptive harness won the Best Challenge Response Award. It was funded by the National Science Foundation and Rice’s Office of Undergraduate Research and Inquiry.

“This challenge gave us the freedom to innovate and explore possibilities beyond the current harness technology,” Yao added in the release. “I’m especially proud of how our team worked together to build a working prototype that not only has real-world impact but also provides a foundation that NASA and space companies can build and iterate upon.”