معرفی
Mohammad Tajdini is a Part-time Lecturer in the Electrical and Computer Engineering Department at Tufts University, where he also holds a position as Research Assistant Professor. He previously conducted postdoctoral research at the School of Medicine, University of Maryland and College of Engineering, Northeastern University. He earned his Ph.D. in Electrical Engineering from Northeastern University in 2016.
His research focuses on electromagnetic modeling, computational imaging, and machine learning applications in radar systems and medical imaging. His work emphasizes wideband radar technology, material characterization, and security screening systems, with contributions to threat detection, non-invasive sensing, and real-time modeling of radar scattering in complex environments.
His recent publications span advancements in millimeter-wave radar for body-worn threat detection, ground-penetrating radar for terrain analysis, and respiratory monitoring techniques for medical imaging. His interdisciplinary research bridges electrical engineering, biomedical applications, and security technologies.
He has taught at Tufts University and Northeastern University, combining academic instruction with cutting-edge research contributions. No awards or grants are explicitly listed in the provided text.
