I am a PhD student in electrical engineering at the University of Minnesota ECE Department under Dr. James Leger.

My primary research is in the domain of computational imaging, which is the intersection between optics, signal processing, and computer vision. My thesis is focused on creating noiseless and clutterless reconstructions in passive non-line-of-sight (NLOS) imaging using information beyond what is typically used for conventional imaging. I have expertise in inverse problems, machine learning, data fusion, and programming.

I am open to other opportunities and new research, so please feel free to reach me at my email hashe037@umn.edu

news

Dec 1, 2023	Started my post-grad career at Kitware as a Senior R&D Researcher on the Computer Vision team in Minneapolis.
Nov 30, 2023	Presented and successfully defended my PhD defense titled “Low-Signal Passive Non-Line-of-Sight Imaging”!
Aug 16, 2023	Presented my work on “Blind Unmixing of Passively-Scattered Multispectral Light” at the Optica Computational Optical Sensing and Imaging (COSI) conference in Boston.
Jul 30, 2023	Presented and published two of my works at the IEEE International Conference on Computational Photography (ICCP)conference in Madison, one on “Parallax-Driven Denoising of Passive Non-Line-of-Sight Thermal Imagery” and the other on “Isolating Signals in Passive Non-Line-of-Sight Imaging using Spectral Content” (which was also accepted into the TPAMI Special Issue).
Jun 8, 2023	Presented a poster on “Removing Unwanted Signals using Spectral Content in Passively-Scattered Light” at the 3M poster session with UMN
Jan 12, 2022	Just finished my 7-month internship at Amazon in the as an Applied Scientist Intern on the Perfect Order Experience (POE) team! I was in charge of using computer vision and deep learning to detect fradulent marketplace items.
Dec 5, 2021	Amazon workshop paper on “Extracting Robust Representations of Invoice Images for Automated Forgery Detection” was presented
Jan 26, 2021	Was a winner in the the Naval Horizons Challenge.
Aug 20, 2020	Finished my summer internship with Black River Systems Inc. as a systems engineer intern. I worked on collecting and performing unsupervised clustering of a variety of radio signals found in the field.
Jun 23, 2020	Oral presentation of “Exploiting the Visible Spectrum to Look Around Corners” at the Computational Optical Sensing and Imaging (COSI) conference (if interested please email for paper/video)
Oct 5, 2019	Poster presentation of “Exploiting Light Field Spectra for Passive NLoS Imaging” at the IMA Workshop for Computational Imaging. Link to poster.
May 18, 2018	Started PhD with the CSE Fellowship at the University of Minnesota.

selected publications

Passive non-line-of-sight imaging using plenoptic information

Di Lin, Connor Hashemi, and James R Leger

JOSA A, 2020
Exploiting the Visible Spectrum to Look Around Corners

Connor Hashemi, and James Leger

In Computational Optical Sensing and Imaging, 2020
Passive 3D location estimation of non-line-of-sight objects from a scattered thermal infrared light field

Takahiro Sasaki, Connor Hashemi, and James R Leger

Optics Express, 2021