Mohamed Elnourani has received his B.Sc. (Honors) First Class in Electrical & Electronic Engineering, with major in Telecommunication Engineering from University of Khartoum, Sudan in 2005. He then received two M.Sc. degrees from Blekinge Institute of Technology (BTH) on Radio Communications and Signal Processing in 2009. He was working as a lecturer in University of Khartoum in Sudan from 2009 to 2016. He is currently pursuing the PhD degree at the University of Agder, Norway. His research interests span the areas of signal processing, wireless communication, neural networks, game theory, dynamic spectrum allocation & cognitive radio.
He is currently working on device-to-device (D2D) communications on various aspects of dynamic resource allocation, making use of advanced optimization and machine learning methods.
M. Elnourani, M. Hamid, D. Romero, and B. Beferull-Lozano, “Underlay device-to-device communications on multiple channels,” in Proc. IEEE Int. Conf. Acoust., Speech, Sig. Process. IEEE, 2018, pp. 3684–3688.
S. Johansson, M. Larsson, S.M. Muddala, A.E. Mohamed Gafar, J. Tarkka, M. Sandor, “An Initial Study on Applying Active Noise Control to an Insulated Box Fan Used in Ventilation System Applications”, The Sixteenth International Conference on Sound and Vibration, ICSV 16, July 2009.
A. M. Elmurtada, Y. N. Awad, M. G. Elnourani, “Adaptive smart antennas in 3G networks and beyond”, Research and Development (SCOReD), 2012 IEEE Student Conference, December 2012.
R. S. Hussien, A. A. Elkhidir, M. G. Elnourani, “Optical Character Recognition of Arabic handwritten characters using Neural Network”, ICCNEEE, 2015.