Roozbeh Yousefzadeh
About Roozbeh Yousefzadeh
Roozbeh Yousefzadeh is a postdoctoral researcher at Yale University, specializing in computer science. He holds a PhD from the University of Maryland and has a diverse background in civil and structural engineering.
Work at Yale University
Roozbeh Yousefzadeh has been working as a Postdoctoral researcher at Yale University since 2019. His role involves conducting advanced research in his field, contributing to various projects, and collaborating with faculty and students. Yale University, located in New Haven, CT, is known for its rigorous academic environment and commitment to research excellence.
Education and Expertise
Roozbeh Yousefzadeh holds a Doctor of Philosophy (PhD) in Computer Science from the University of Maryland, which he completed from 2015 to 2019. Prior to this, he earned a Master of Science (MS) in Computer Science from the same institution, studying from 2015 to 2017. His educational background also includes a Master of Science (MS) in Civil Engineering from Isfahan University of Technology, completed from 2002 to 2005, and a Bachelor of Science (BS) in Civil Engineering from Azad University (IAU), completed from 1998 to 2002.
Previous Work Experience
Before his current position at Yale University, Roozbeh Yousefzadeh gained diverse experience in various roles. He worked as an Applied Machine Learning Research Fellow at Los Alamos National Laboratory for two months in 2018. He also served as a Project Engineer at Aldea Services LLC from 2012 to 2013. Additionally, he held multiple graduate student positions at the University of Maryland and Johns Hopkins Whiting School of Engineering, where he contributed to research and academic projects.
Research and Academic Contributions
During his academic career, Roozbeh Yousefzadeh has contributed to research in both computer science and civil engineering. His role as a Graduate Assistant at the University of Maryland from 2015 to 2019 involved supporting faculty research and assisting in teaching. His academic pursuits have equipped him with a strong foundation in machine learning and engineering principles, which he applies in his current postdoctoral research.