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iCAT: Intelligent Computer Architecture and Technology Laboratory

Our research group is conducting cutting-edge research in the computer architecture and , with a focus on high-performance and energy-efficient manycore architectures, machine learning-based system optimization, technology-driven computer architectures, and AI chip designs for emerging applications.

UCF has strong graduate programs in computer engineering. The UCF Computer Engineering program ranks No. 50 in 2023 U.S. News and World report, and stands at No. 31 in the area of computer architecture per

Students at iCAT will gain a well-rounded experience in computer & communication systems design through solid theoretical studies, modeling and simulation experiments, performance evaluation and physical implementation. iCAT will also provide a variety of opportunities for students to collaborate with distinguished researchers across the nation.

Successful candidates should be motivated and willing to learn new concepts and be at the forefront of cutting-edge research in this exciting field. Prospective students are expected to have the following qualifications

Solid understanding or prior research experience in one or multiple of the following research areas: computer architecture, alogrithm, machine learning applications, FPGA/HLS programming, and computer and mathematical modeling.

Proficient programming skills (e.g., C/C++, Python, Verilog and Script languages).

Graduate Research/Teaching Assistantships are available for prospective Ph.D. students. If you are interested, please do not hesitate to send your CV and Transcripts to 

Prospective students are encouraged to contact current lab members to be familiar with our lab culture before submitting their applications. 

Lab Members: 

Ph.D. Students:
Lingxiang Yin, UCF
Shilin Tian, UCF
Amir Ghazizadeh, UCF
Jiaqi Yang, Co-advised, GWU

Undergraduate Students:
Chase Szafranski, UCF
Mariam Rabadi, UCF
John Gierlach, UCF

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