Kristina Monakhova, Ph.D.

Assistant Professor
Department of Computer Science
Field of Applied Mathematics 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.

email: monakhova[at]cornell.edu
office: Gates 446

teaching

CS6662: Computational Imaging, Cornell University, Fall 2024

guest lectures

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

news

Oct 2024	Kristina is giving an invited talk at the Toronto Vision Seminar on trustworthy and adaptive extreme low light imaging on Oct. 16th!
Apr 2024	Kristina is a poster and demo chair for ICCP in Lausanne, Switzerland this year! Submit your work to our Call for Posters, Demos, and Outreach by May 10!
Apr 2024	Kristina is co-organizing the CVPR Computational Cameras and Displays Workshop in Seattle this June! Come check out our amazing speaker line-up, and our posters & spotlights!

selected publications

2022

Dancing under the stars: video denoising in starlight

Kristina Monakhova, Stephan R Richter, Laura Waller, and 1 more author

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bib PDF Code Website

@inproceedings{monakhova2022dancing,
  title = {Dancing under the stars: video denoising in starlight},
  author = {Monakhova, Kristina and Richter, Stephan R and Waller, Laura and Koltun, Vladlen},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {16241--16251},
  year = {2022},
  video = {https://www.youtube.com/watch?v=eFvQs2j9RMw},
}

2020

Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array

Kristina Monakhova, Kyrollos Yanny, Neerja Aggarwal, and 1 more author

Optica, 2020

Bib PDF Code Website

@article{monakhova2020spectral,
  title = {Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array},
  author = {Monakhova, Kristina and Yanny, Kyrollos and Aggarwal, Neerja and Waller, Laura},
  journal = {Optica},
  volume = {7},
  number = {10},
  pages = {1298--1307},
  year = {2020},
  publisher = {Optica Publishing Group},
  group = {journal},
}

2019

Learned reconstructions for practical mask-based lensless imaging

Kristina Monakhova, Joshua Yurtsever, Grace Kuo, and 3 more authors

Optics express, 2019

Bib PDF Code Website

@article{monakhova2019learned,
  title = {Learned reconstructions for practical mask-based lensless imaging},
  author = {Monakhova, Kristina and Yurtsever, Joshua and Kuo, Grace and Antipa, Nick and Yanny, Kyrollos and Waller, Laura},
  journal = {Optics express},
  volume = {27},
  number = {20},
  pages = {28075--28090},
  year = {2019},
  publisher = {Optica Publishing Group},
}