With more than 850 computing researchers, Texas Computing offers unparalleled expertise in all aspects of computing from atoms to algorithms to applications.
Below are several research areas and cross-cutting applications where Texas has assembled world-class expertise.
Research Areas
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AI & Machine Learning
Leading research in machine and deep learning from the theoretical to the application level, including how AI and people interact.
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Data Science
Developing new modes of scientific discovery in the era of big data.
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Computational Science
Addressing science, engineering and medicine grand challenges through mathematical modeling, scalable algorithms and advanced computing.
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Robotics
Advancing the capability of robotics in application including social, medical, manufacturing, and defense.
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Human-Computer Interaction
Working to develop human-technology partnerships to build an equitable and productive future.
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High Performance Computing
Operating the most powerful high performance computing resources at any university in the world.
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Computer Systems
Advancing core computing technologies to advance a wide variety of industries and application areas.
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Formal Methods & Programming Languages
Using mathematics to assist with the specification, design, implementation, and verification of computing systems and languages.
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Quantum Computing
Developing the materials, system designs, algorithms, and theoretical underpinnings for quantum information processing.
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Cybersecurity
Improving the security and privacy of technology to make the world, and our lives, safer.
Cross-Cutting Applications
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Computational Health & Medicine
Integrating computation into health and medicine to improve outcomes for patients and communities.
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Energy & Environment
Developing new and renewable energy sources, and preserving the environment, using computing power and expertise.
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Natural Hazards
Improving resilience to natural hazards through improved forecasting, planning and engineering.
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Transportation
Designing the future of transportation — from autonomous vehicles to AI-optimized traffic patterns.