Dr. Fawaz Hjouj holds BA and MSc degrees in Mathematics and completed his PhD in Mathematics at Southern Illinois University, US. He has also taken graduate courses in statistics.
Between 2004 and 2013 he worked as an assistant professor with the Mathematics Department at East Carolina University, US, where he taught mathematics to engineering students and statistics. In 2013, Dr. Hjouj joined the Petroleum Institute, UAE, which became a part of the Khalifa University of Science and Technology in 2017.
Dr. Hjouj’s research focuses on radon transformation that synthesizes numerical analysis and Fourier analysis. This includes computations on digital image processing with applications to the field of computerized tomography. Within this framework he conducts activities at two levels – the first level is original research and includes the development of new ideas. For example, working with an image under possible distortion of common geometrical transformations or recovering general linear transformations of an image. The second level introduces certain subjects from this field to undergraduate instruction and research.
Dr. Hjouj has created and published simplified introductions for undergraduate students in a range of subjects including mathematics and engineering sciences, among others. For example, it is well known that viewing a section of the body without interference from other regions have long been a goal of radiologists and engineers, and that these goals have been achieved through CT, MRI, PET, and other forms of tomography. The modules that Dr. Hjouj has developed on tomography help readers appreciate this technology and the underlying mathematics.
During his 20 years of experience teaching mathematics at different levels and within different cultures, Dr. Hjouj has been recognized through student and staff evaluations for his exceptional work, methods of teaching, and his caring attitude. Dr. Hjouj also has experience in teaching distance education courses and often uses online homework to supplement face-to-face instruction.
Conduct research and publications on applications of Radon transform that synthesize numerical analysis and Fourier analysis; have acquired relevant computer skills and techniques for image processing, and Medical Imaging. Recently, I started employing Machine Learning algorithms for my research.