معرفی
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, and applied optics, with an emphasis on developing next-generation visual sensors through the integration of optics, electronics, and signal processing. He leads a lab creating prototypes like Focal Split (a handheld depth camera inspired by spider vision) and MetaHDR (a metasurface-based HDR imaging system).
Education: B.E. in Automation (Tsinghua University, 2015), M.S. and Ph.D. in Electrical Engineering (Harvard University, 2018 and 2021). His work bridges theory and practice, with recent breakthroughs in photon-limited depth estimation (Blurry-Edges) and robust boundary detection (CT-Bound).
Research Interests:
- Computational Imaging
- Optical System Design
- Machine Learning for Vision
- 3D Sensing
- Metasurface Engineering
- Embedded Sensor Systems
Notable Achievements:
- Best Paper Award (ECCV 2016)
- Best Demo Award (ICCP 2018)
- IEEE Technical Committee on Computational Imaging
- Editor of Open Journal of Signal Processing
Lab Philosophy: Prioritizes 'maker mindset' for hands-on prototyping, requiring 10+ weekly hours from undergrad researchers. Offers SURF internships and collaborates on projects like satellite stereo imaging (Stellar dataset) and birefringent metasurface applications.
