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Qi Guo is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. His research focuses on computational imaging, computer vision, machine learning, and optics. He strives to advance the understanding and methodologies within these fields through innovative approaches and technologies, contributing to both theoretical and practical advancements. His work often integrates interdisciplinary methods to address complex problems in imaging and visual processing. Professor Guo engages in teaching and guiding students, fostering a robust learning environment that emphasizes both foundational knowledge and cutting-edge developments in electrical and computer engineering. He is committed to advancing the discipline through research and publication, helping shape the next generation of engineers and researchers.
Purdue University • West Lafayette, IN
Teaching and conducting research in the fields of Electrical and Computer Engineering, specifically in areas of computational imaging and machine learning.
GRE is not required.