Mostafa Amin-Naji (in Persian: مصطفی امین ناجی) is currently working on contrast-free super-resolution ultrasound imaging under the supervision of Prof. Jørgen Arendt Jensen at the Center for Fast Ultrasound Imaging, Technical University of Denmark (DTU). He completed his PhD on “Super-Resolution Ultrasound Imaging using the Erythrocytes (SURE)” at DTU. He received his MSc and BSc degrees in Electrical & Computer Engineering–Communication Systems from Babol Noshirvani University of Technology in 2015 and 2018, respectively. His main areas of research include Computer Vision, Deep/Machine Learning, Image/Video/Signal Processing, Medical Image/Signal Analysis, Super-Resolution Imaging, and Information Fusion. The title of his award-winning MSc thesis is "Image Fusion using Deep Learning," for which he received the 2017-2018 Best Thesis Prize from the Iranian Society of Machine Vision and Image Processing (ISMVIP). Additionally, his BSc thesis, titled "New Multi-Focus Image Fusion Methods in Discrete Cosine Transform," was awarded the Outstanding IEEE BSc Thesis Award by the IEEE Iran Section in 2015-2016. He has published several journal and conference papers based on his BSc, MSc, PhD, and other projects. He has extensive experience in programming languages, including Python and Matlab. He is also a reviewer for ISI Journals, including Information Fusion (Elsevier), Pattern Recognition (Elsevier), Neurocomputing (Elsevier), IEEE Transactions on Medical Imaging (IEEE), IEEE Transactions on Computational Imaging (IEEE), IEEE Access (IEEE), IET Image Processing (IET Digital Library), and Multidimensional Systems and Signal Processing (Springer).