AI Systems Engineering (Algorithms to Hardware)
Artificial Intelligence (AI) is transforming health, the economy, infrastructure, and national security. Next-generation deployable AI must run across the cloud-to-edge continuum with the highest efficiency and unnegotiable trustworthiness, even in resource-constrained, dynamic, or even adversarial environments.
The AI Systems Engineering research thrust of the Department of Computer Engineering addresses these demands through full-stack, cross-layer engineering of AI algorithms, software, systems, and hardware. We investigate (i) resource-, environment-, and hardware-aware, efficient, and trustworthy AI; (ii) AI-specific computing systems, processors, and heterogeneous accelerators; (iii) and rigorous co-design that jointly optimizes algorithms and hardware from model formulation to hardware implementation.
This thrust aligns with national priorities, accelerates AI innovation, strengthens the U.S. computing and chip design base, and delivers foundational advances and the U.S. workforce to design, deploy, sustain, and scale tomorrow’s AI.
Faculty Members
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Panagiotis (Panos) Markopoulos, PhD (Thrust Lead) Associate Professor Computer Engineering and Computer Science Cloud Technology Endowed Fellow Expertise: Machine learning theory, algorithms, and systems |
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Assistant Professor Computer Engineering Expertise: AI and photonic computing Email: dharanidhar.dang@utsa.edu |
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Professor Computer Engineering Expertise: Energy-efficient computing; AI hardware; AI workload analysis and characterization Email: eugene.john@utsa.edu |
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Associate Professor Computer Engineering Expertise: AI in cellular networks; AI integrated sensing and communications Email: brian.kelley@utsa.edu |
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Professor and Department Chair Computer Engineering Microsoft President's Endowed Professor Expertise: Fundamental and applied cybersecurity and AI Email: ram.krishnan@utsa.edu |
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Professor Computer Engineering, Computer Science, and Electrical Engineering Robert F. McDermott Chair in Engineering Expertise: AI and neuromorphic computing |
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John Jeffrey (Jeff) Prevost, PhD Associate Professor Computer Engineering Cloud Technology Endowed Professor Expertise: Quantum theory Email: jeff.prevost@utsa.edu |
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Associate Professor Computer Science and Computer Engineering Expertise: AI and neuromorphic algorithms Email: william.several@utsa.edu |
Research Institutes, Centers, and Laboratories
