Amir Jaberzadeh brings over 15 years of industry experience in the research and development of AI-related and computer-vision and imaging technologies to Artegis.  As a researcher at the University of Southern California, Amir built accelerated techniques for brain analysis and MRI image synthesis and standardization.  At Harvard Medical School, Amir developed high performance computing solutions for diffusion imaging that were later adopted by the Insight Toolkit, a significant open-source project.  At the University of Strasbourg, Amir designed and built software for image-guided interventions, tissue modeling, image analysis, and 3D visualization of scientific data.  Amir also has worked on image computing and quantization techniques for medical applications that received FDA clearance and has developed software in a variety of technical fields including computer graphics, conversational AI, chatbots, recommendation systems, blockchain technologies, and decentralized machine learning.

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Amir is actively involved in discussions and developments related to AI and emerging technologies.  In that regard, Amir routinely speaks at AI conferences and participates as a panelist in roundtable discussions on emerging technologies.

Amir’s expertise encompasses a wide range of technical disciplines, including machine learning, conversational AI, computer graphics, computer vision, graphical computing, large-scale data analytics, high performance computing, distributed computing, cloud computing, databases, computer networking, virtualization, concurrency, signal processing, computer architecture, computer security, blockchain, medical imaging, medical devices, and digital and analog electronics.

Amir’s practice focuses on patent preparation, patent prosecution, and counseling companies in how to file applications around AI-related technologies.