Meet the Team
Connor Hashemi, Ph.D.
Senior R&D Engineer
Kitware Minneapolis
Minneapolis, MN
Ph.D. in Electrical Engineering
University of Minnesota
M.S. in Electrical Engineering
University of Minnesota
B.S. in Electrical Engineering
University of Minnesota
Connor Hashemi is a Senior R&D Engineer working at KMW on Kitware’s Computer Vision Team. He is currently developing computational imaging techniques for event-based imaging on satellites.
Prior to working at Kitware, Connor interned as an applied scientist at Amazon, where he trained a self-supervised computer vision model to detect fabricated documents via anomaly detection. He also interned as a systems engineer at Black River Systems, where he conducted unsupervised classification of urban radio signals to identify areas of increased activity.
Throughout his Ph.D, his primary focus was on the DARPA-funded REVEAL project, where he developed methods and algorithms for passive non-line-of-sight imaging using scattered light. Within this project, he developed low-signal inverse imaging techniques that utilized multispectral information, thermal imaging, linear unmixing algorithms, convex optimization, physics-based modeling, and light fields.
Connor earned his B.S. in Electrical Engineering at University of Minnesota. He continued on as a Golden Gopher, earning his Masters and Ph.D in Electrical Engineering.
Publications
- A. Reed, C. Hashemi, D. Melamed, N. Menon, K. Hirakawa, and S. McCloskey, "EBS-EKF: Accurate and High Frequency Event-Based Star Tracking," in 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [URL]
- C. Hashemi, R. Avelar, and J. Leger, "Clutter rejection in passive non-line-of-sight imaging via blind multispectral unmixing," Optics Express, vol. 32, no. 2, pp. 2132, Jan. 2024. [URL]
- C. Hashemi, R. Avelar, and J. Leger, "Isolating Signals in Passive Non-Line-of-Sight Imaging Using Spectral Content," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, no. 9, pp. 7328-7339, Sep. 2023. [URL]
- C. Hashemi, T. Sasaki, and J. Leger, "Parallax-Driven Denoising of Passive Non-Line-of-Sight Thermal Imagery," in 2023 IEEE International Conference on Computational Photography (ICCP), 2023. [URL]
- T. Sasaki, C. Hashemi, and J. Leger, "Passive 3D location estimation of non-line-of-sight objects from a scattered thermal infrared light field," Optics Express, vol. 29, no. 26, pp. 43642, Dec. 2021. [URL]
- D. Lin, C. Hashemi, and J. Leger, "Passive non-line-of-sight imaging using plenoptic information," Journal of the Optical Society of America A, vol. 37, no. 4, pp. 540, Apr. 2020. [URL]