Prof. Shih-Hao Hung is a Visiting Professor in the Academic Affairs & Research Division at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Prof. Hung has been with the National Taiwan University (NTU) since 2005, where he served as the Chair of the Department of Computer Science and Information Engineering during 2020–2023. Recently, he has led his research teams to design high-performance GPU clusters and collaborate with domain experts in analyzing gigapixel medical images, training large language models (LLMs), and simulating large-scale quantum computing systems. He also currently works as a researcher for the National Center for High-Performance Computing (NCHC), where he served as the Deputy Director General during 2020–2022, when he has played an instrumental role to establish national supercomputing infrastructures to enable HPC and AI research. During the past five years, the NCHC has established three top-notch supercomputer services, including one that delivered nine petaFLOPS to be ranked 20th in the world.

Prof. Hung also likes to put his research works in practice and collaborate with industry partners. Before joining NTU, he worked as a staff engineer for Sun Microsystems Inc. in Menlo Park, California, during 2000–2004, where he led a team effort to achieve a performance record for a single secure webserver with crypto acceleration. During his tenure in NTU, he has collaborated with worldwide system/chip vendors such as IBM, HPE, Qualcomm, ARM, Intel, NVIDIA, and AMD, as well as top-tier Taiwanese tech companies, including MediaTek, QNAP Systems, Foxconn, Inventec, Wistron, Adlink, Asus Cloud, etc. He was the recipient of the IBM Faculty Open Collaborative Research Award in 2012 and 2013, Best Paper Awards from ACM RACS Conference in 2014 and 2017, and Future Tech Award from the National Science and Technology Council in 2022.

Prof. Hung loves building high-performance, intelligent, and secure computers. His research interests lie widely in high-performance computing (HPC) systems, artificial intelligence (AI), information security, privacy-enhancing technologies, and quantum computing. His research team aims to develop methodologies to help characterize complex computing systems to empower hardware-software co-design for emerging applications.