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Selim Emir Can
I am a first-year masters student in the Electrical Engineering Department at Stanford University. I am currently working
at the Stanford Computational Imaging Lab under
Professor Gordon Wetzstein.
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, robotics, AR/VR technology, and healthcare.
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September 5th, 2025: Started my masters in electrical engineering at Stanford University.
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)
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Research
My current research focuses on accurate physics modeling in the context of simulation ready garments. Previously, I worked on improving neural networks through uncertainty quantification and virtual staining of unlabeled tissue images via deep learning.
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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
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Website
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Code (All Coming Soon!)
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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
arXiv, 2024
Paper
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Code
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Master of Science in Electrical Engineering (2025-Present)
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Bachelor of Science in Electrical Engineering (2020-2024)
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