Guangzhi Qu

Committed to mentoring the next generation in the ever-evolving field of technology, Guangzhi Qu is a distinguished Professor in the Computer Science and Engineering Department at Oakland University. With a robust academic foundation, he earned his Ph.D. from the University of Arizona, where he honed his expertise in various cutting-edge domains of computer science. Professor Qu's research interests are diverse and impactful, encompassing artificial intelligence, applied machine learning, software analysis, embedded systems, multicore computing, and discrete event simulation. His work in these areas not only contributes to the academic community but also addresses real-world challenges, pushing the boundaries of what technology can achieve. In addition to his research endeavors, Professor Qu is deeply committed to education. He brings his extensive knowledge into the classroom, teaching courses in operating systems, artificial intelligence, and machine learning. His pedagogical approach is centered on fostering critical thinking and innovation, preparing students to excel in their future careers. Beyond his academic and teaching responsibilities, Professor Qu actively collaborates with industry partners and fellow researchers, aiming to bridge the gap between theoretical research and practical applications. His dedication to both his students and his field makes him a valuable asset to Oakland University and the broader scientific community.