iCAT: Intelligent Computer Architecture and Technology Laboratory

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. 15 in the area of computer architecture and at No. 5 in the area of EDA in U.S. per CSranking.org. Our lab members have joined academia and industry such as NUAA, Apple, AMD, hedge fund, within very short time.

INFORMATION for Prospective Students:

Students at iCAT will gain a well-rounded experience in computer systems and machine learning 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. The students will have also have opportunities to participate in industry-scale projects to translate our research outcomes to real-world products. Each student will be supported for conference traveling every year. We have very supportive and inclusive lab culture, where we sincerely care about student's growth, health, and future development. Our mentoring philosophy is to provide you with all the resources that can help you succeed and achieve impactful research outcomes while ensuring you enjoy your PhD journey at iCAT. Every student is unique, and we value your perspective.

Successful candidates should be motivated and willing to learn new concepts and be at the forefront of cutting-edge research in this exciting field. Besides academic training, students will participate in several industry-scale research projects for technology transfer. 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, algorithm, machine learning applications, FPGA/HLS programming, and computer and mathematical modeling.

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

Our current research/industry projects cover the entire computing stack with goal of delivering an end-to-end computing system with industry-scale quality, so students with different backgrounds are all welcomed to join.

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 Hao.Zheng@ucf.edu. 



Lab Members: 

Ph.D. Students:
Shilin Tian (B.S. Shenzhen University), Fall 2022, UCF
Amir Ghazizadeh (B.S. Shiraz University), Fall 2022, UCF
Fangzhou Ye (B.S. Zhejiang University), Fall 2023, UCF
Jiaqi Yang, Co-advised, GWU

Undergraduate Students:
Luis Infante, Fall 24 - Present, UCF
Jessica Morris, Fall 24 - Present, UCF
Aneesha Nayak, Fall 24 - Present, (2025 Order of Pegasus, the highest student award at UCF)
Jaden Jeudy, Fall 24 - Present, UCF
Briana Thakkar, Fall 24 - Present, UCF
Jhon Tabio, Fall 24 - Present, UCF
Sean Zarobsky, Fall 24 - Present, UCF

Alumni:
Lingxiang Yin (Ph.D. 2024), First Employment: Associate Professor (with tenure), NUAA. 
Andres Graterol (M.S.), Fall 23 - Spring 24, UCF
Chase Szafranski (B.S.), Spring 22 - Spring 24, AMD Fellowship, UCF
Grace Tuomala (B.S.), Fall 23 - Spring 24, AMD Fellowship, UCF
Mariam Rabadi (B.S.), Spring 22 - Fall 23, AMD Fellowship, UCF, 
John Gierlach (B.S.), Spring 23, AMD Fellowship, UCF

Our Research Supported By