Computational Imaging Lab @ Cornell

Prof. Kristina Monakhova

We combine ideas from machine learning, signal processing, optics, computer vision and physics to build better imaging systems (cameras, microscopes, and telescopes) through the co-design of optics, algorithms, and high-level tasks. Our aim is to design the next generation of smart, computational imagers that fuel scientific discovery, robotics, and medical diagnostics. We are particularly interested in:

  • Differentiable optics - Can we use data and machine learning tools to design better cameras, microscopes, and telescopes?
  • Physics-informed machine learning - How can we effectively combine our knowledge of imaging system physics with deep learning?
  • Task-based imaging systems - What's the best camera or microscope for high-level tasks, such as robotics or medical diagnostics?
  • Inverse problems and neural representations: Can we leverage neural priors to improve our imaging systems for microscopy and photography?

Check out our previous research projects and publications for more information!


Jun 2023 Kristina will be joining Cornell’s Computer Sciences Department in Fall 2024 as an assistant professor!
May 2023 Kristina will be giving invited talks at Optica’s Imaging and Applied Optics Congress, SPIE Emerging Topics in Artificial Intelligence Conference, and the Asilomar Conference on Signals, Systems, and Computers this summer and fall!
Sep 2022 Kristina started her postdoc at MIT, supported by the MIT Postdoctoral Fellowship for Engineering Excellence!