Soheil Kolouri
About
Malibu, California, where he was a Principal Machine Learning Scientist focusing on various aspects of deep learning. He received his Ph.D. in biomedical engineering in 2015 from Carnegie Mellon University. Kolouri also was a postdoctoral scholar at CMU focusing on transport-based pattern recognition and image modeling approaches for automated analysis of histopathology, MRI, and fMRI images. He develops practical machine learning and computer vision solutions for challenging problems in biomedical signal and image analysis. Kolouri has more than 40 full-length publications, including 13 journal articles and 25 conference papers at top-tier venues. He has contributed to numerous DARPA proposals in machine learning and has successfully secured a total of nearly $15 million in funding as a PI, including three large DARPA projects. At HRL Laboratories, he mentored Ph.D. students from top universities during their internships. Kolouri’s accomplishments include six patents issues in 2020 and 12 patent applications pending.
Research Performance Summary
First Recorded Paper
Acoustic tomography of the atmosphere using iterated unscented Kalman filter
Year: 2012
Citations: 1
Venue: Colorado State University
Latest Recorded Paper
UnEBOLT: A Unified Model for EEG-to-BOLD Translation and Functional Connectivity Reconstruction
Year: 2026
Citations: 0
Venue: Medical Imaging with Deep Learning
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.