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Proof of Concept Awards

TEXAS PROOF OF CONCEPT AWARDS

Texas Proof of Concept Awards

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

  • Delia Milliron Flexible and Smart Window Film for Energy Efficiency

    Synopsis:

    Roughly half of the energy consumption in the United States for buildings is for thermal control and lighting. New smart windows can control heat and light from the sun to improve energy performance in buildings but nearly all installed windows lack these capabilities and it is extremely expensive to replace windows in commercial buildings. UT researchers are developing an innovative, low-cost, film that can be applied to existing windows to dynamically control the amount of heat and light that goes through windows.

  • Janet Zoldan Sustainable Beef Brisket

    Synopsis:

    Current meat production will not be able to meet the increasing demand across the globe and it’s negative environmental impact is only growing. UT biomedical engineers are using a patented scaffolding technology to develop cultured beef brisket with similar look, texture, and taste.

  • Farshid Alambeigi Steerable Surgical Drilling Device

    Synopsis:

    Current orthopedic drills can only drill in a straight line, making surgeries involving complex anatomies more time consuming and less successful. UT engineers have invented a handheld steerable drill for surgeries that require curved trajectories, allowing more efficient and more successful procedures.

  • 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.

  • Jorge Prozzi Efficient Pavement Friction Prediction Using AI Models

    Synopsis:

    Monitoring the friction levels of roadways, runways, and other pavement surfaces is critical for safety, but current methods are too costly, inefficient, and often use a lot of water. UT scientists have developed a robust and fast system that doesn’t rely on water, using lasers and artificial intelligence to collect three-dimensional data of pavement texture and corresponding friction predictions to increase highway satefy.

  • Salvatore Salamone Rail Defect Detection by Noncontact Vibration Measurements

    Synopsis:

    Nonvisible transverse defects in railways are one of the main causes of railway track-related incidents, costing hundreds of millions of dollars in the past two decades. Current rail inspection technologies cannot be mounted on operating train cars and are only reliable at slow speeds, costing railway operators time and money. UT engineers have developed a laser doppler system that can be used on operating trains and at much higher speeds.

  • Aaron Baker Stem Cell Conditioning for Enhanced Vascular Regeneration

    Synopsis:

    Currently, there is no treatment available that addresses the lack of microvasculature caused by long-term peripheral arterial disease, a chronic, progressive disease that affects 20% of the US population over 65 years old. UT engineers and physicians have invented a device that can enhance stem cell therapies for treating peripheral arterial disease in a brand new way. Using novel technology, we have found ways to increased stem cell expansion and efficacy in treating peripheral arterial disease and ischemia.

  • Aaron Baker Drug Eluting Chest Tube for Pain Reduction Following Surgery

    Synopsis:

    Traditional chest tubes are simple medical devices that are essential for draining the area around the lungs following surgery or injury. While these devices provide an important, lifesaving function they also cause constant, intense pain that requires treatment with opioid pain medication. UT innovators have developed a new chest tube that elutes local non-opioid anesthetic agents for pain reduction following cardiothoracic surgeries and trauma.

  • Jessica Ciarla Sustainable Trimmings for the Fashion Industry

    Synopsis:

    Roughly 20% of the nearly 400 million tons of plastic produced globally using fossil fuels is for textile fibers and only about 15% of it is recycled. UT inventors are developing non-plastic sustainable trimmings and embellishments, such as sequins, for the fashion industry using compostable polylactic acid.

  • Alex Demkov Manufacturing Electro-optic Wafers for Silicon Photonics

    Synopsis:

    The rapid growth of global internet traffic is driving rapid growth in demand for computing power and data transmission but current silicon photonic technology cannot fully meet the demand. UT physicists have invented a new process that can easily integrate electro-optic material on silicon which can potentially provide a universal platform for next-generation silicon photonics with a 100X increase in modulation efficiency.

  • Daniel Stromberg Endotracheal Tube Securement/Adjustment Device

    Synopsis:

    Pediatric intensive care patients require ventilation via endotracheal tubes that are secured to the baby’s face with tape, making adjustment difficult, risky, and often ineffective. UT physicians and scientists are developing a novel device for endotracheal tube securement and precise adjustment, resulting in better tube positioning and more effective treatment.

  • 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.