Kristina Monakhova, Ph.D.
Assistant Professor
Department of Computer Science
ECE Field Member
Applied Mathematics Field Member
Cornell University
Assistant Professor
Department of Computer Science
ECE Field Member
Applied Mathematics Field Member
Cornell University
I am an Assistant Professor in the Department of Computer Science at Cornell. I work on co-designing optics and algorithms to create better, smaller, and more capable cameras and microscopes.
Before Cornell, I was a postdoctoral fellow at MIT working with Sixian You and George Barbastathis, and supported by the MIT Postdoctoral Fellowship for Engineering Excellence. I obtained my PhD in Electrical Engineering and Computer Sciences from UC Berkeley with Laura Waller. During my PhD, I was affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab and was supported by the NSF GRFP fellowship. My PhD dissertation was on Physics-Informed Machine Learning for Computational Imaging.
I lead the Computational Imaging Lab @ Cornell and advise several wonderful PhD students.
Kristina Monakhova is an Assistant Professor in the Department of Computer Science at Cornell, where she leads the Computational Imaging Lab @ Cornell. Prof. Monakhova works on co-designing optics and algorithms to create better, smaller, and more capable cameras and microscopes. Before Cornell, she was a postdoctoral fellow at MIT working with Sixian You and George Barbastathis, and supported by the MIT Postdoctoral Fellowship for Engineering Excellence. She obtained her PhD in Electrical Engineering and Computer Sciences from UC Berkeley with aura Waller. During her PhD, she was affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab and was supported by the NSF GRFP fellowship. Her PhD dissertation was on Physics-Informed Machine Learning for Computational Imaging.
email: monakhova[at]cornell.edu
office: Gates 442B
CS6662: Computational Imaging, Cornell University, Fall 2024
ECE 285: Computational Imaging Systems, UCSD, 'Robust and physics-informed machine learning for low light imaging', Spring 2024
6.300: Signal Processing, MIT, 'Computational Imaging: using signal processing to make better imaging systems', Spring 2024
| Jul 2025 | Cassandra, Shamus, and Hasindu will present three posters at ICCP in Toronto next week! |
|---|---|
| Jul 2025 | Christian’s paper, Spectral DefocusCam: super-resolved hyperspectral imaging through defocus’ is accepted to ICCP! |
| Jun 2025 | Cassandra is giving a spotlight presentation at the Workshop on Uncertainty Quantification for Computer Vision (UNCV) at CVPR on her work on conformal prediction for imaging inverse problems! |