Scholar
Çağatay Işıl
Google Scholar ID: xpNu7vMAAAAJ
Stanford University
Citations & Impact
Citations
342
H-index
9
i10-index
8
Publications
20
Co-authors
0
Resume
Academic Achievements
- - Virtual Gram staining of label-free bacteria using dark-field microscopy and deep learning
- - Neural network-based processing and reconstruction of compromised biophotonic image data
- - All-optical image denoising using a diffractive visual processor
- - Subwavelength imaging using a solid-immersion diffractive optical processor
- - Learning diffractive optical communication around arbitrary opaque occlusions
- - Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding
- - Super-resolution image display using diffractive decoders
Research Experience
- Focuses on machine learning for computational microscopy and pathology.
Education
- - Ph.D. in Electrical and Computer Engineering from UCLA, advised by Aydogan Ozcan
- - M.S. in Electrical and Electronics Engineering from Middle East Technical University
- - B.S. in both Electrical and Electronics Engineering and Physics from Middle East Technical University
Background
- Research interests include computer vision, deep learning, generative AI, image processing, and computational imaging. Currently a Postdoctoral Researcher at Stanford University.
Miscellany
- Personal website provides links to email, CV, Google Scholar, Twitter, and GitHub.