June 12th, 2025 (1:30pm - 2:30pm)
Location: Room# 511 B
Distinguished Professor of ECE
KAUST, Thuwal, Makkah Province, Saudi Arabia
Mohamed-Slim Alouini, was born in Tunis, Tunisia. He earned his Ph.D. from the California Institute of Technology (Caltech) in 1998 before serving as a faculty member at the University of Minnesota and later at Texas A&M University at Qatar. In 2009, he became a founding faculty member at King Abdullah University of Science and Technology (KAUST), where he currently is the Al-Khawarizmi Distinguished Professor of Electrical and Computer Engineering and the holder of the UNESCO Chair on Education to Connect the Unconnected. Dr. Alouini is a Fellow of the IEEE and OPTICA and his research interests encompass a wide array of research topics in wireless and satellite communications. He is currently particularly focusing on addressing the technical challenges associated with information and communication technologies (ICT) in underserved regions and is committed to bridging the digital divide by tackling issues related to the uneven distribution, access to, and utilization of ICT in rural, low-income, disaster-prone, and hard-to-reach areas.
Aerial-Terrestrial Heterogeneous Networks for Urban Air Mobility
This talk discusses how urban air mobility (UAM) is emerging as a transformative solution to urban transportation and how the demand for robust communication frameworks capable of supporting high-density aerial traffic in this context becomes increasingly critical. An essential area of communications improvement is reliably characterizing and minimizing interference on UAM aircraft from other aircraft and ground vehicles. To achieve this, accurate line-of-sight (LOS) models must be used. In this talk, we highlight also the limitations of a LOS probability model extensively used in the literature in accurately predicting interference caused by ground vehicles. Then, we introduce a modified probability of LOS model that improves interference prediction by incorporating the urban topography and the dynamic positioning of ground vehicles on streets.