Selim Emir Can

I am an incoming first-year Master's student in Electrical Engineering at Stanford University. Previously, I completed my undergraduate studies in Electrical Engineering at the University of California, Los Angeles, where I worked with the Visual Machines Group (VMG) under Professor Achuta Kadambi and conducted microscopy research under Professor Aydogan Ozcan.

My research interests lie in computational imaging and computer vision. I want to explore its applications in remote sensing, medical imaging, AR/VR technology, and robotics.

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Selim Emir Can's profile photo

News
    July 5th, 2024: Our paper has been arXived.
    June 16th, 2024: Graduated from UCLA with Latin Honors!
    May 29th, 2024: Filed my first patent titled "Methods and Apparatus to Detect and Classify Forms of Sleep Apnea" (UCLA Case no. 2024-253-1)

Research

My current research work focuses on improving neural networks through uncertainty quantification and virtual staining of unlabeled tissue images via deep learning.

Uncertainty-Aware Models for Fast Video Depth Estimation
Monocular Depth Meets Uncertainty: Towards Stable and Accurate Video Depth Estimation
Pradyumna Chari, Selim Emir Can, Alexander Vilesov, Huaijin Chen, Nitish Srivastava, Achuta Kadambi


Under Review
Paper / Website / Code (All Coming Soon!)
OSA figure
Thermal Imaging and Radar for Remote Sleep Monitoring of Breathing and Apnea
Kai Del Regno, Alexander Vilesov, Adnan Armouti, Anirudh Bindiganavale Harish, Selim Emir Can, Ashley E. Kita, Achuta Kadambi


Under Review
Paper / Code

Class Notes
digital signal processing notes photo
Digital Signal Processing

Supplementary notes for EC ENGR 113 at UCLA.

Education
UCLA logo Bachelor of Science in Electrical Engineering (2020-2024)
Stanford logo Master of Science in Electrical Engineering (2025-Present)

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