Amir Koushyar Z.
About Amir Koushyar Z.
Amir Koushyar Z. is an R&D Staff Scientist at Oak Ridge National Laboratory, where he has worked since 2021. He has extensive experience in research and development, particularly in areas such as deep learning algorithms for medical imaging and real-time monitoring in 3D printing.
Current Role at Oak Ridge National Laboratory
Amir Koushyar Z. currently holds the position of R&D Staff Scientist at Oak Ridge National Laboratory, a role he has occupied since 2021. In this capacity, he is involved in advanced research and development projects, focusing on the integration of artificial intelligence and imaging technologies. His work contributes to the laboratory's mission of addressing complex scientific challenges.
Previous Experience at Oak Ridge National Laboratory
Prior to his current role, Amir Koushyar Z. worked at Oak Ridge National Laboratory in various capacities. He served as a Postdoctoral Research Associate for 10 months from 2018 to 2019 and as an R&D Associate Staff Member for two years from 2019 to 2021. During these periods, he focused on projects that included correlating X-ray CT data with in-situ sensor data to enhance real-time monitoring in 3D printing processes.
Education and Academic Background
Amir Koushyar Z. has a robust academic background in engineering and technology. He earned his Doctor of Philosophy (PhD) from Purdue University, where he studied from 2012 to 2016. He also holds a Master of Science (M.Sc.) from UC Santa Cruz, where he specialized in Ultra-Fast Static and Transient Thermal Analysis in Integrated Circuits from 2009 to 2012. Additionally, he completed his Bachelor of Science (BSc) in Electrical Engineering at Amirkabir University of Technology - Tehran Polytechnic from 2001 to 2005.
Research Contributions and Projects
Throughout his career, Amir Koushyar Z. has made significant contributions to various research projects. He has developed deep learning-based and computational imaging algorithms for medical imaging applications. His work includes the advancement of 3D AI-based algorithms for X-ray Computed Tomography (CT) of metal additive manufacturing parts, where he integrated CAD models and physics-based information with Generative Adversarial Networks (GANs).
Research Experience at Purdue University
Amir Koushyar Z. gained valuable research experience at Purdue University, where he worked as a Postdoctoral Researcher from 2016 to 2018 in Prof. Charles Bouman's Group. He also served as a Graduate Research Assistant from 2012 to 2016. His research during this time included electron microscopy and tomography of fuel cells, contributing to advancements in coded aperture imaging.