Two UCF professors are being honored as 2022 fellows by the Institute of Electrical and Electronics Engineers (IEEE), a prestigious national distinction. The IEEE announced its new cohort of 311 fellows earlier this month.
Their fellowships bring the total number of IEEE fellows at UCF to 17, underscoring the national prominence of UCF professors among their peers in research involving advanced electrical and computer systems and methods.
Professor Jun Wang has achieved fellow status for outstanding contributions to low-power computer disk storage system design. Pegasus Professor Greg Welch has been honored for his outstanding contributions to tracking methods and augmented reality applications.
A computer scientist and engineer, Wang is a professor in UCF’s Department of Electrical and Computer Engineering with a joint faculty appointment in UCF’s Department of Computer Science. As co-director of UCF’s Computer Architecture and Storage System Laboratory, Wang is widely known for his efforts in making computers work faster and more efficiently with advanced methods, as well as developing open-source tools, hardware and platforms.
For more than 20 years Wang has been making significant contributions to massive storage and computer architecture. He has co-authored more than 150 publications on his research, which includes massive storage and file system, memory and disk architecture, data-intensive computing, and high-performance computing.
Wang is best known for his pioneering research in low-power disk system design. He has developed a low-power disk array prototype showing real-time power and energy conservation with 30-50% savings at scale without degrading performance. IBM, Google, and Western Digital make energy-efficient storage products inspired by Wang’s work.
His contributions to data storage systems enables scientists and engineers to conduct big data analyses with complex access patterns in faster and easier ways. His pioneering solution on redundancy-reuse design also opens up a new data deduplication direction in memory and storage research at the early stage of the big data era.
A widely recognized global expert in massive storage and file technology, Wang has received numerous awards including U.S. National Science Foundation CAREER Award and the Department of Energy Early Career Principal Investigator Award. He received Editorial Excellence and Eminence Award (EEE) of IEEE Transactions on Cloud Computing in 2018.