iCAT Lab logo iCAT Lab Intelligent Computer Architecture & Technology · UCF

iCAT Lab · Dept. of Electrical & Computer Engineering · University of Central Florida

Building scalable, efficient, and adaptive computing infrastructure for AI — from silicon to algorithms.

Rethinking how intelligence is computed, moved, and built into silicon.

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Ongoing research

What we're working on

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Sparse matrix transformed into a graph and mapped to a parallel accelerator

Theory · Algorithms · Architecture

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Hardware Acceleration for Sparse Computations

Rethinking theory, algorithms, and hardware for sparse computation, demonstrating how sparsity can make today's AI more efficient.

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A reconfigurable architecture serving language, vision, graph, and action-model kernels

Adaptive AI Systems

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Versatile Architectures for Artificial Intelligence

Building reconfigurable compute, dataflow, and memory systems for today's AI applications, advancing new ways to deliver efficient and adaptable AI.

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Intelligent chip-design infrastructure connecting architecture intent, an RTL compiler, PPA prediction, and physical design feedback

Intelligent Tools · Design Automation

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Intelligent Infrastructure for Chip Design

Building tools that bridge computer architecture and physical design, advancing new ways to design chips.

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About

The lab

Our mission is to build better computing infrastructure—more scalable, adaptable, and energy-efficient—for emerging AI and scientific applications. We rethink the full computing stack, from theory and algorithms to architecture, RTL, and physical design, turning foundational ideas into practical systems. Equally important, we are committed to providing students with rigorous, hands-on education and research training that prepares them to lead the next generation of computing innovation.

Latest

News

Full timeline →
  • Jul. 2026PaperFour papers accepted at MICRO 2026.
  • Jun. 2026AwardFangzhou Ye receives the UCF ECE Best Graduate Researcher Award.
  • Jun. 2026AwardProf. Zheng receives the UCF ECE Excellence in Research Award.

Research Support

Our sponsors

We gratefully acknowledge the agencies, institutions, and industry partners that support our research and students.

Join iCAT Lab

Graduate research and teaching assistantships are available for prospective Ph.D. students interested in sparse computing, efficient AI architectures, and open chip-design infrastructure.

See how to apply →