6 Houston-area inventors named fellows in prestigious program

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Six Houston inventors have been recognized with the highest professional distinction for inventors within academia. Photo via Pexels

The National Academy of Inventors has announced its annual set of NAI Fellows — and six Houstonians make the list of the 164 honorees from 116 research institutions worldwide.

The NAI Fellows Program honors academic inventors "who have demonstrated a spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on the quality of life, economic development, and the welfare of society," according to a news release. The appointment is the highest professional distinction for inventors within academia.

The six Houstonians on the list join a group that hold more than 48,000 U.S. patents, which have generated over 13,000 licensed technologies and companies, and created more than one million jobs, per the release. Additionally, $3 trillion in revenue has been generated based on NAI Fellow discoveries.

These are the scientists from Houston organizations:

    • Zhiqiang An, University of Texas Health Science Center at Houston: An is the director of the Texas Therapeutics Institute, a drug discovery program operated by the John P. and Kathrine G. McGovern Medical School at Houston. He's also a professor of molecular medicine and holder of the Robert A. Welch Distinguished University Chair in Chemistry at UTHealth.
    • Alex Ignatiev, University of Houston: Ignatiev served as director of two NASA-supported research and technology development centers at the University of Houston and as Lillie Cranz and Hugh Roy Cullen Professor of Physics, Chemistry, and Electrical and Computer Engineering.
    • David Jaffray, University of Texas MD Anderson Cancer Center: Jaffray was appointed MD Anderson's first-ever chief technology and digital officer in 2019. He oversees MD Anderson’s Information Services division and Information Security department and is a professor of Radiation Physics with a joint appointment in Imaging Physics.
    • Pei-Yong Shi,The University of Texas Medical Branch: Pei-Yong Shi is a professor and John Sealy Distinguished Chair in Innovations in Molecular Biology Department of Biochemistry & Molecular Biology;. He's also the Vice Chair for Innovation and Commercialization.
    • Ganesh Thakur, University of Houston: Thakur is a pioneer in carbon capture, utilization and storage and has a patent on forecasting performance of water injection and enhanced oil recovery. His team is continuing to push the research envelope for CCUS employing world-class lab research, simulation, machine learning and artificial intelligence.
    • Darren Woodside, Texas Heart Institute: Woodside is the Vice President for Research and Director of the Flow Cytometry and Imaging Core at the Texas Heart Institute. His research centers around the role that cell adhesion plays in cardiovascular and autoimmune diseases, and the development of novel means to identify and treat these diseases.
    Ten other Texas-based innovators made the list, including:
    • Sanjay Banerjee, The University of Texas at Austin
    • Thomas Boland, The University of Texas at El Paso
    • Joan Brennecke, The University of Texas at Austin
    • Gerard Cote, Texas A&M University
    • Ananth Dodabalapur, The University of Texas at Austin
    • Holloway (Holly) H. Frost Jr., The University of Texas at Arlington
    • James E. Hubbard, Texas A&M University
    • Yi Lu, University of Texas at Austin
    • Samuel Prien, Texas Tech University
    • Earl E. Swartzlander Jr., The University of Texas at Austin
    This year's class will be inducted at the Fellows Induction Ceremony at the 11th Annual Meeting of the National Academy of Inventors in June in Phoenix, Arizona.

    "The caliber of this year's class of NAI Fellows is outstanding. Each of these individuals are highly-regarded in their respective fields," says Paul R. Sanberg, president of NAI's board of directors, in the release. "The breadth and scope of their discovery is truly staggering. I'm excited not only see their work continue, but also to see their knowledge influence a new era of science, technology, and innovation worldwide."

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    Houston researchers develop material to boost AI speed and cut energy use

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    A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

    AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

    “AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

    In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

    The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

    Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

    Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

    The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

    According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

    “These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

    Houston to become 'global leader in brain health' and more innovation news

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    Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

    1. Houston institutions launch Project Metis to position region as global leader in brain health

    The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

    Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

    2.Rice University researchers unveil new model that could sharpen MRI scans

    New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

    Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

    3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

    The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

    Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

    4. Baylor center receives $10M NIH grant to continue rare disease research

    BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

    Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

    5. Luxury transportation startup connects Houston with Austin and San Antonio

    Shutto is a new option for Houston commuters. Photo courtesy of Shutto

    Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

    Texas falls to bottom of national list for AI-related job openings

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    For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

    A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

    Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

    Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

    “For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

    The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

    “A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

    The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

    Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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