Dr. Golnabi studied Mathematics and Computer Engineering at the University of Salamanca in Spain. After completing 4 years of coursework, he transferred to Montclair State University where he graduated with a Bachelor of Science in Mathematics in 2007. Thereafter, he started his graduate studies at the Thayer School of Engineering at Dartmouth College, and worked on the "Computational Aspect of Microwave Imaging for Biomedical Applications." In June 2012, he completed his Ph.D. degree in Biomedical Engineering, and joined the Pulmonary Imaging and Bioengineering Laboratory at the Massachusetts General Hospital (MGH) and Harvard Medical School. During his postdoctoral research fellow training, he worked on "Complex Systems Approach to Bronchoconstriction in Asthma." From 2014 to 2020, he was a faculty member in the Department of Mathematical Sciences at Montclair State University.
He has a track record of peer-reviewed publications, conference presentations, and awards, including the Sylvia Sorkin Greenfield Award for the Best Paper Published in Medical Physics, 2013. He was also the recipient of the prestigious IEEE Microwave Theory and Techniques Society (MTT-S) Graduate Fellowship for Medical Applications in 2010. Dr. Golnabi's research interest includes mathematical modeling, numerical methods, inverse problems, medical image processing, and image reconstruction algorithms. He holds a patent in System and Method for Collection and Use of Magnetic Resonance Data and Microwave Data to Identify Boundaries of Interest with two colleagues.
He has a track record of peer-reviewed publications, conference presentations, and awards, including the Sylvia Sorkin Greenfield Award for the Best Paper Published in Medical Physics, 2013. He was also the recipient of the prestigious IEEE Microwave Theory and Techniques Society (MTT-S) Graduate Fellowship for Medical Applications in 2010. Dr. Golnabi's research interest includes mathematical modeling, numerical methods, inverse problems, medical image processing, and image reconstruction algorithms. He holds a patent in System and Method for Collection and Use of Magnetic Resonance Data and Microwave Data to Identify Boundaries of Interest with two colleagues.
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