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
Kristina Monakhova is an Assistant Professor in the Department of Computer Science at Cornell, where she leads the Computational Imaging Lab @ Cornell and advises several wonderful PhD students. Her group works on co-designing optics and algorithms to create better, smaller, and more capable cameras and microscopes. Prior to joining Cornell, she was a postdoctoral fellow at MIT with Sixian You and George Barbastathis. She obtained her PhD in Electrical Engineering and Computer Sciences from UC Berkeley with Laura Waller. Her PhD dissertation was on Physics-Informed Machine Learning for Computational Imaging. She is the recipient of the MIT Postdoctoral Fellowship for Engineering Excellence, Berkeley EECS Demetri Angelakos Memorial Achievement Award, NSF GRFP, NDSEG Fellowship, and Goldwater Scholarship.
email: monakhova[at]cornell.edu
office: Gates 442B
Recent talk recordings can be found here:
CS4620: Intro to Computer Graphics, Cornell University, Fall 2026 (co-taught with Abe Davis)
CS4660: Foundations of Computational Imaging, Cornell University, Spring 2026
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, Spring 2025
6.300: Signal Processing, MIT, 'Computational Imaging: using signal processing to make better imaging systems', Spring 2024
| Aug 2026 | Shamus’s paper on Sparse Light Field Sampling for Casual 3D and 4D Reconstruction is selected as a spotlight at the Workshop on Scalable 3D Scene Generation and Geometric Scene Understanding (S3DSGR) at ECCV 2026! |
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| Jul 2026 | Shamus, Hasindu, Rawan, and Cassandra will be presenting posters at ICCP on their work on diffusion models for lensless imaging, deep optics for bio-inspired depth sensing, neural hyperspectral imaging, and uncertainty quantification for inverse problems! |
| Jun 2026 | Rawan, Nora, and undergraduate researchers Ben and Nolan will be attending the ICCP Summer School! |