Towards the Convergence of Sensing, Localization, Imaging, and Communications

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The Internet of Things (IoT) has ushered a new era in many fields including retail, medicine, agriculture, and the automotive industry. In fact, it is projected that by 2025, one trillion IoT devices will be deployed worldwide: the equivalent of 1000 devices per person. To reach such a scale, major advancements are needed in various IoT-enabling technologies, including sensing, localization,  and communication. In the first part of this talk, I will share a few applications of these technologies that are pursued in my lab. In the second part, I will focus on Terahertz (THz) band communications which is a key enabler for future-generation wireless communication systems. The promises to support and integrate a wide range of data-demanding applications, enabling the convergence of sensing, localization, imaging, and communications.

Brief Biography

Tareq Al-Naffouri received the B.S. degrees in mathematics and electrical engineering (with first honors) from King Fahd University of Petroleum and Minerals,  Dhahran, Saudi Arabia, the M.S. degree in electrical engineering from the Georgia Institute of Technology, Atlanta, in 1998, and the Ph.D. degree 
in electrical engineering from Stanford University, Stanford, CA, in 2004.H e was a visiting scholar at California Institute of Technology, Pasadena, CA in 2005 
and summer 2006. He was a Fulbright scholar at the University of Southern California in 2008. He is currently a Professor at the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST). His research interests lie in the areas of sparse, adaptive, and statistical signal processing and their applications to wireless communications and localization, machine learning, and network information theory.He has over 300 publications in journal and conference  proceedings and 20 issued/pending patents.Dr. Al-Naffouri is the recipient of the IEEE Education Society Chapter Achievement Award in 2008 and Al-Marai Award for innovative research in communication in 2009. Dr. Al-Naffouri was an Associate Editor of IEEE Transactions on Signal Processing 2013-2018.

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