Qi Guo
Assistant Professor at Purdue University
United States
Summary
👤
Senior🎓
Top SchoolQi Guo is an Assistant Professor in Electrical and Computer Engineering at Purdue University with 11 years of experience spanning computational imaging, computer vision, machine learning, and optics. He earned a Ph.D. from Harvard University after undergraduate training at Tsinghua and an exchange stint at UT Austin, blending rigorous theory with applied system design. His research develops algorithm-hardware co-designed imaging systems that push the boundaries of optical sensing and inverse problems. Actively recruiting motivated Ph.D. students, he maintains an academic and code presence (qiguo.org and GitHub) and bridges deep learning with physical optics to solve real-world imaging challenges. Notably, his work often combines optical design intuition with data-driven reconstruction, producing practical prototypes as well as theoretical insights.
11 years of coding experience
Exchange Student, Electrical and Computer Engineering, Undergraduate, Exchange Student, Electrical and Computer Engineering, Undergraduate at The University of Texas at AustinDoctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Harvard UniversityBachelor of Engineering (BEng), Mechatronics, Robotics, and Automation Engineering, Bachelor of Engineering (BEng), Mechatronics, Robotics, and Automation Engineering at Tsinghua University
Github Skills (9)
inverse8
diffraction8
object-detection6
computer-vision6
imaging5
deep-learning5
machine-learning5
pytorch5
tensorflow4
Programming languages (1)
Github contributions (5)
guoqi1123/focaltrack
Aug 2017 - Nov 2018
Contributions:6 commits, 5 pushes, 1 branch in 1 year 3 months
NVlabs/FLAT
Sep 2018 - Oct 2019
Flexible, Large, Augmentable, ToF dataset - a dataset for Time of Flight cameras and deep learning
Contributions:40 commits, 1 PR, 14 pushes in 1 year
pytorchflighttofdeep-learningdataset
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.