University of Houston team places in prestigious DOE collegiate challenge

seeing green

Students from the University of Houston are celebrating a win at a national competition focused on carbon innovation. Photo via UH.edu

A team of students from the University of Houston have placed in the top three teams for a national competition for the Department of Energy.

The inaugural American-Made Carbon Management Collegiate Competition, hosted by the U.S. Department of Energy's Office of Fossil Energy and Carbon Management, or FECM, tasked the student teams with "proposing regional carbon networks capable of transporting at least one million metric tons of carbon dioxide per year from industrial sources," according to a news release from DOE.

“With this competition, DOE hopes to inspire the next generation of carbon management professionals to develop carbon dioxide transport infrastructure that will help drive technological innovation and emissions reductions, new regional economic development, and high-wage employment for communities across the United States,” Brad Crabtree, assistant secretary of fossil energy and carbon management at DOE, says in the release.

GreenHouston, the University of Houston team mentored by Assistant Professor Jian Shi from the UH Cullen College of Engineering, took third place in the competition, securing a $5,000 cash prize. Sequestration Squad of University of Michigan secured first place and $12,000 and Biggest Little Lithium of the University of Nevada won second and a $8,000 prize.

The UH team's proposal was for an optimized carbon dioxide transportation pipeline for the Houston area. The presentation included cost analysis, revenue potential, safety considerations, weather hazards, and social impact on neighboring communities, according to a release from UH.

“We chose the greater Houston metropolitan area as our target transition area because it is a global hub of the hydrocarbon energy industry,” says Fatemeh Kalantari, team leader, in the release.

“Our team was committed to delivering an optimized and cost-effective carbon dioxide transfer plan in the Houston area, with a focus on safety, environmental justice, and social engagement,” she continues. “Our goal is to ensure the health and safety of the diverse population residing in Houston by mitigating the harmful effects of carbon dioxide emissions from refineries and industries in the area, thus avoiding environmental toxicity.”

With the third place win, GreenHouston will get to present their proposal at DOE’s annual Carbon Management Research Project Review Meeting slated for August.

"We are thrilled to see the exceptional work and dedication displayed by the GreenHouston team in this competition," said Ramanan Krishnamoorti, vice president of energy and innovation at UH. "The team’s innovative proposal exemplifies UH’s commitment to addressing the pressing global issue of carbon management and advancing sustainable practices. We wish the students continued success."

The team included four Cullen College of Engineering doctoral students from the Department of Electrical and Computer Engineering – Kalantari, Massiagbe Diabate, Steven Chen, and Simon Peter Nsah Abongmbo – and one student, Bethel O. Mbakaogu, pursuing his master’s degree in supply chain and logistics technology.

The prize money will go toward funding additional research, refining existing technologies, addressing remaining challenges and raising awareness of CCUS and its project, according to the release, as the team feels a responsibility to continue to work on the GreenHouston project.

“The energy landscape by 2050 will be characterized by reduced greenhouse gas emissions, cleaner air quality, and a more sustainable environment,” Kalantari says. “The transition to green energy will not only mitigate the harmful effects of carbon dioxide on climate change but also create new jobs, promote economic growth, and enhance energy security. This is important, and we want to be part of it.”

The team of students plans to continue to work on the GreenHouston project.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

New accelerator joins the Ion and more Houston innovation news to know

Trending News

Editor's note: The Houston innovation scene is buzzing with big news this month, from a new accelerator joining the fold at the Ion to pre-IPO funding and national expansion plans. Below are the five most-read InnovationMap stories from Feb. 1-15, 2026:

New accelerator for AI startups to launch at Houston's Ion this spring

The new AI Native Dual-Use Sports, Health & Wellness Accelerator is expected to launch in March. Photo courtesy of the Ion

The Collectiv Foundation and Rice University have established a sports, health and wellness startup accelerator at the Ion District’s Collectiv, a sports-focused venture capital platform. The AI Native Dual-Use Sports, Health & Wellness Accelerator is scheduled to formally launch in March. Continue reading.

10+ can't-miss Houston business and innovation events in February

From recurring monthly favorites to the return of annual celebrations and summits, here's what not to miss in February. Photo courtesy the Ion.

February may be a short month, but its event calendar isn’t. From recurring monthly favorites to the return of annual celebrations and summits, here are the Houston business and innovation events not to miss — and how to register. Continue reading.

Houston lab-test startup seeks $1M for nationwide expansion

Jim Gebhart, founder and CEO of TheLabCafe.com. Courtesy photo.

Health care industry veteran Jim Gebhart knew there had to be a better way for patients to access lab services, especially those with high health insurance deductibles or no insurance at all. Continue reading.

Houston wearable biosensing company closes $13M pre-IPO round

Wellysis is known for its continuous ECG/EKG monitor with AI reporting, known as the S-Patch. Photo via wellysis.com.

Wellysis, a Seoul, South Korea-headquartered wearable biosensing company with its U.S. subsidiary based in Houston, has closed a $13.5 million pre-IPO funding round and plans to expand its Texas operations. Continue reading. Continue reading.

Texas booms as No. 3 best state to start a business right now

Texas is rebounding in a report of the best states to start a business. Photo via Getty Images

High employment growth and advantageous entrepreneurship rates have led Texas into a triumphant No. 3 spot in WalletHub's ranking of "Best and Worst States to Start a Business" for 2026. Continue reading.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”

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