Faculty
Kurt Friday
Assistant Professor
ENB 0342B
Email | | | | |
Biography
Jiajun Huang is an Assistant Professor in the Bellini College of Artificial Intelligence, Cybersecurity and Computing at the 91社区. He leads the High Performance & Intelligence Lab (蟺 Lab), which focuses on building high-performance systems for large-scale artificial intelligence and scientific applications. At USF, Huang is developing a new course in high-performance computing, a critical specialty area that powers modern AI and scientific applications. He also teaches undergraduate computer architecture, which helps students understand the fundamentals of computing systems and their real-world hardware and software challenges.
Research Interests
Huang鈥檚 research focuses on developing scalable and efficient computing systems that improve the performance, sustainability, and usability of large-scale applications. He specializes in designing efficient software systems for large-scale computing environments, such as those needed to run AI models and scientific simulations on supercomputers and multi-node data centers. His work includes the development of ZCCL, the first compression-accelerated collective communications library that enables direct communication and computation on compressed data. He also created the first GPU-based homomorphic compressor, allowing GPUs to perform calculations directly on compressed data without decompression. His innovations have demonstrated significant performance gains over state-of-the-art academic and industrial baselines, pushing the boundaries of what is achievable in large-scale computing.
Education
Huang holds a PhD in Computer Science from the University of California, Riverside. As an undergraduate, he participated in an international dual-degree program that combined the strengths of Eastern and Western engineering education. He earned a Bachelor of Engineering in Electronics and Electrical Engineering from the University of Glasgow in Glasgow, UK, and a Bachelor of Engineering in Electronic Information Engineering from the University of Electronic Science and Technology of China in Chengdu, China. He also spent three years as a visiting graduate student at Argonne National Laboratory in Illinois, where he collaborated on DOE- and NSF-funded projects in distributed systems, data reduction, and GPU computing.
Honors and Awards
Huang鈥檚 research has been widely recognized in the high-performance computing community. His work has been presented at leading conferences, including SC, ICS, IPDPS, and HPDC, and his papers have influenced both academic and industry practices. He received the First Place Award in the ACM Student Research Competition at SC 2023 and was named the Best Paper Finalist at HPDC 2025. During his doctoral studies, he earned the Dissertation Completion Fellowship Award and the Dean鈥檚 Distinguished Fellowship from the University of California, Riverside.