Research
In the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), AlRegib and his group work on robust and interpretable machine learning algorithms, uncertainty and trust, and human in the loop algorithms. The group has demonstrated their work on a wide range of applications such as Autonomous Systems, Medical Imaging, and Subsurface Imaging. The group is interested in advancing the fundamentals as well as the deployment of such systems in real-world scenarios. His research group is working on projects related to machine learning, image and video processing, image and video understanding, subsurface imaging, perception in visual data processing, healthcare intelligence, and video analytics. The primary applications of the research span from Autonomous Vehicles to Portable AI-based Ophthalmology and Eye Exam and from Microscopic Imaging to Seismic Interpretation. The group has been a leader in developing modern machine learning for seismic interpretation. The team has created a number of open-source datasets. 

The IBB Breakfast Club Seminar Series was started with the spirit of the Institute's interdisciplinary mission in mind to feature local IBB faculty member's research in a seminar format. Faculty are often asked to speak at other universities and conferences, but do not often present at their home institution - this seminar series is an attempt to close that gap. IBB Breakfast Club Seminars are open to anyone in the bio-community.