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School of Engineering Science
Engineering scholars honoured with SFU Research Excellence Awards
Two professors from the School of Engineering Science have been honoured with the inaugural SFU Research Excellence Awards for their exemplary scholarship and comprehensive research impact.
Professor Zhenman Fang has received the Horizon Award for Early career researchers, while professor Ivan Baji膰 has been presented with the Milestone Award for research or scholarly contribution that has led to demonstrable outcomes and transformative impacts.
The SFU Research Excellence Awards were established to acknowledge a wide range of research and scholarly contributions that showcase exceptional expertise, leadership and integrity. These awards honor researchers who are advancing their fields, encouraging collaboration, enhancing public understanding and driving meaningful change both within and outside of academia.
Zhenman Fang, School of Engineering Science
Fang鈥檚 research focuses on customizable computing with software-defined hardware acceleration, aiming to sustain ever-increasing performance and energy efficiency demands for important applications such as AI and big data, which crosses disciplinary boundaries and extends the impact beyond academia. As the founder and director of the HiAccel lab, he demonstrates excellent leadership, mentoring and training graduate students and postdoctoral fellows. Fang is an internationally recognized scholar who will continue to have a demonstrable impact within his discipline and beyond.
Ivan Baji膰, Engineering Science, Faculty of Applied Sciences
Baji膰 has made significant contributions to visual compression by leveraging advances in artificial intelligence for industrial and academic applications. In addition to introducing concepts to advance the discipline, his research facilitates innovation in AI-driven analytics, multimedia, and telecommunications鈥� technologies that enable common daily activities like streaming video, remote work, media sharing and gaming. Under his mentorship, his group is developing smart infrastructure and tools, strategies and standards for coding, communications and collaborative intelligence, directly influencing the integration of machine-learning-driven compression technologies worldwide.