Researchers & UT Community
Proof of Concept Awards
Technology Development
TEXAS PROOF OF CONCEPT AWARDS
These awards provide competitive funding for UT faculty members or permanent researchers with a principal investigator (PI) status to accelerate the tech commercialization process.
Texas Proof of Concept Awards
- Maximum value of $25,000
- No matching requirement
Texas+ Proof of Concept Awards
Requires the applicant to secure $125,000 in matching funds from an industry partner
Maximum value of $125,000
HOW TO APPLY
Applicants from any UT college, school, or unit may apply for one or both awards in any order; however, if a UT researcher wins both a Texas and Texas+ Proof of Concept award for a specific innovation, their total funding is limited to $125,000. In addition, applicants can receive a maximum of two Proof of Concept awards per year.
Deadline: Monday, February 9, 2026
Email pocawards@austin.utexas.edu with questions. Application cycles occur during the Fall and Spring semesters.
Award Recipients
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Farshid Alambeigi 4D Imaging System for Early Diagnosis of Colorectal Cancer
Synopsis:
Colon cancer polyps have a high degree of variation in stiffness, morphology, and sizes across patients, making early polyp detection and classification a imperfect when performing a standard colonoscopy. UT engineers and physicians are developing a new four-dimensional AI-enabled imaging system for the early diagnosis of colon cancer using a novel inflatable tactile sensor and complementary artificial intelligence algorithms.
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Mitchell Pryor Inspection Robot for Floating Roof Storage Tanks
Synopsis:
In the oil and gas industry, manual inspection of seals in floating roof storage tanks is inaccurate, costly, and dangerous. Inspections are increasingly necessary given our aging infrastructure and desire to minimize the release of fugitive emissions harmful to inspectors and the environment. UT innovators have developed an autonomous robotic solution that performs tank inspections safer, cheaper, faster, and more accurately than traditional, manual methods.
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Debadyuti (Rana) Ghosh Pulmonary Delivery of Gene Editing to Cure Cystic Fibrosis
Synopsis:
There are over 100 thousand people with cystic fibrosis, a genetic disease with no cure, where the median age of death is 37. UT scientists are developing safer and local delivery of gene therapy using non-virus-based technology to effectively and functionally treat the genetic disease of cystic fibrosis.
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Huiliang (Evan) Wang Wearable Brain Computer Interface System for In-home Stroke Rehab
Synopsis:
With stroke being the leading cause of severe disability in the United States, there is a huge economic burden and challenge for patients regarding rehabilitation strategies, including the need to physically visit a rehab center. To help solve these challenges, UT engineers and scientists are developing an electroencephalogram (EEG)-based wearable brain-machine interface system for in-home continuous stroke recovery.
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Alan Groves Trinity Tube Feeding Tube
Synopsis:
Premature birth affects around 10% of infants and is the most significant cause of newborn death in the USA. Premature infants need to have their vital signs (heart rate, breathing rate, temperature) monitored continuously. At present this monitoring is carried out by skin mounted sensors which can damage the delicate skin. Realizing that all premature infants need a tube placed through their nose/mouth into the stomach to deliver milk feeds, UT physicians and engineers are developing an ‘intelligent’ feeding tube which can continuously and wirelessly monitor an infant’s vital signs while avoiding damage to the skin. Placement of sensors inside the chest will also allow the team to develop novel markers of airway pressure and work of breathing to guide clinical care for these vulnerable infants.
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Andrew Dunn New Method for Quantitative Blood Flow Imaging During Surgery
Synopsis:
Continuous and quantitative blood flow visualization during surgery could reduce complications and shorten time of surgery, but is not currently available to surgeons. The Dunn laboratory is developing laser imaging technology that could enable surgeons to visualize and measure real-time blood flow within the surgical field.
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Aaron Baker A Polysaccharide-Based Therapy for Nonalcoholic Fatty Liver Disease
Synopsis:
Non-alcoholic fatty liver disease (NAFLD) is a progressive type of fatty liver disease. It is currently the most common form of chronic liver disease worldwide, with a prevalence of approximately 25% in the general population. Despite its profound prevalence, there are currently no approved treatments for treating NAFLD. UT researchers have found a promising natural compound that can reduce the incidence of NAFLD in mice and they are working on modifying the compound for increased effectiveness.
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Jonathan Chen Fabric Strain Sensor Device for Pharyngeal Rehabilitation
Synopsis:
Swallowing dysfunction affects roughly 500,000 children and nine million adults in the US, potentially resulting in life-threatening choking and pneumonia. Clinical swallowing evaluations and technology only capture a snapshot of behavior, resulting in low validity of current testing, especially for children. UT scientists are seeking to provide a noninvasive and unobtrusive testing procedure for patients using novel sensing fabric that is able to be worn and washed for daily living.
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