Muhammad Nasir Ullah is a researcher at the Molecular Imaging Instrumentation Laboratory at Korea University , with a Ph.D. in Bio-Convergence Engineering (2020) and a B.S. in Electronic Engineering (2012). His work focuses on radiation detection for medical applications, particularly in detector design for Positron Emission Tomography (PET) , intraoperative gamma probes, and hybrid ultrasound-gamma probe systems. BS: Electronic Engineering, International Islamic University, Islamabad, Pakistan (2012) Integrated MS+Ph.D.: Bio-Convergence Engineering, Korea University, Seoul, South Korea (2020) His research spans nuclear medicine instrumentation , frontend circuit design for radiation and ultrasound detectors, and hybrid imaging technologies . He has published extensively on sub-millimeter PET detectors, time-of-flight PET, and wavelength discrimination techniques. Notable trends include the integration of deep learning for PET calibration and the development of RF-penetrable PET inserts for MRI compatibility . Scientific awards include: IEEE NSS/MIC Trainee Grant (2020, 2016) Best Paper Award, Korea University (2020) Korea University Ph.D. Scholarship (2015-2020) 3rd Prize, Final Year Project, IIUI (2012) He holds 4 patents in South Korea and has contributed to projects like the 1-mm Resolution Dual Panel Clinical PET and CZT-based rhizosphere PET scanners . His work bridges radiation detection physics and medical device engineering , with a focus on clinical and plant imaging applications.










