Mahdi Ramezani
Chief Technology Officer
ehsAI
Mahdi is the Chief Technology Officer at ehsAI, a technology company that helps organizations utilize AI and Machine Learning to transform the way they manage regulatory compliance. He develops the company’s technology vision, strategy, and tactics in alignment with its business goals. He ensures the available technological resources meet the company’s short and long term needs to deliver new technologies for the product on a predictable release schedule.
Previously, he was the Director of Core Research and Development at Motion Metrics International Corp, where he led product development within a cross-functional team of AI researchers, software developers, and hardware engineers. At Motion Metrics, he previously was the Machine Learning Lead and led deep-learning scientist teams on computer vision projects for various mining applications.
Before joining the company, Mahdi did his Ph.D. at the University of British Columbia, where his research focus was machine learning, medical image analysis, and computer-assisted surgery. His Ph.D. research work includes designing of a framework for classification of subjects using fusion analysis of neuroimaging data and an automatic localization of surgical robot tools in 3D ultrasound. Mahdi holds M.Sc. and B.Sc. in Electrical Engineering from Sharif University of Technology.
Previously, he was the Director of Core Research and Development at Motion Metrics International Corp, where he led product development within a cross-functional team of AI researchers, software developers, and hardware engineers. At Motion Metrics, he previously was the Machine Learning Lead and led deep-learning scientist teams on computer vision projects for various mining applications.
Before joining the company, Mahdi did his Ph.D. at the University of British Columbia, where his research focus was machine learning, medical image analysis, and computer-assisted surgery. His Ph.D. research work includes designing of a framework for classification of subjects using fusion analysis of neuroimaging data and an automatic localization of surgical robot tools in 3D ultrasound. Mahdi holds M.Sc. and B.Sc. in Electrical Engineering from Sharif University of Technology.