CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Provable and robust wavefront sensing via self-reference interferometry Permalink

Yismaw, N., Saragadam, V., Sankaranarayanan, A. C., and Asif, M. S. (2026). "Provable and robust wavefront sensing via self-reference interferometry." arXiv preprint arXiv:2604.03564.

Parameter-efficient multi-task and multi-domain learning using factorized tensor networks Permalink

Garg, Y., Yismaw, N., Hyder, R., Prater-Bennette, A., Roy-Chowdhury, A., and Asif, M. S. (2025). "Parameter-efficient multi-task and multi-domain learning using factorized tensor networks." IEEE Open Journal of Signal Processing.

Covariance-corrected diffusion models for solving inverse problems Permalink

Yismaw, N., Kamilov, U. S., and Asif, M. S. (2025). "Covariance-corrected diffusion models for solving inverse problems." In Proceedings of the IEEE Statistical Signal Processing Workshop (SSP), 26--30.

Gaussian is all you need: A unified framework for solving inverse problems via diffusion posterior sampling Permalink

Yismaw, N., Kamilov, U. S., and Asif, M. S. (2025). "Gaussian is all you need: A unified framework for solving inverse problems via diffusion posterior sampling." IEEE Transactions on Computational Imaging.

Parameter-efficient adaptation for computational imaging Permalink

Yismaw, N., Kamilov, U. S., and Asif, M. S. (2024). "Parameter-efficient adaptation for computational imaging." In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 13051--13055.

Domain expansion via network adaptation for solving inverse problems Permalink

Yismaw, N., Kamilov, U. S., and Asif, M. S. (2024). "Domain expansion via network adaptation for solving inverse problems." IEEE Transactions on Computational Imaging, 10, 549--559.

Talks

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams