Prof. Raed Shubair
Senior Advisor, Ministry of Education, UAE
Professor of Electrical Engineering
Visiting Scientist, MIT Research Laboratory of Electronics
Massachusetts Institute of Technology (MIT)
Tutorial Title:
Machine Learning for Evolving 5G and IoT Applications
Abstract:
Machine learning (ML) algorithms, as a subfield of artificial intelligence (AI), have been providing effective solutions in engineering applications and to scientific problems for many decades. ML methods have the ability to adapt to new conditions and to detect and estimate patterns. Recently, ML has gained new and well-deserved attention in many fields of engineering and science mostly due to the development of high-performance graphical-processing units (GPU) as well as development of deep neural networks (DNN) based algorithms. Many leading technology companies are heavily investing in AI/ML and academia is following suit to develop more powerful algorithms that utilize the new hardware. In addition to these recent developments, practitioners have found new ways to utilize the many existing machine learning algorithms in their respective domains. The fields of electromagnetics (EM) and antennas also benefit in a variety of ways from the application of machine learning, deep learning (DL), and AI. In fact, several applications of ML to antenna design and propagation already exist. These, among others, are meta-learning, decision trees (DT), random forests (RF), support vector machines (SVM), nearest neighbors (NN), Gaussian processes (GP), artificial neural networks (ANN), ensemble learning methods, reinforcement learning (RL) and new deep learning-based approaches. Exploitation of these algorithms and hybridization with physics informed procedures will be key to enabling new technologies for antenna design and wave propagation modeling in the upcoming years. The aim of this tutorial is to highlight the potential for applying ML paradigm to evolving 5G and IoT application with emphasis to aspects related to antennas and propagation.
Short Bio:
Raed Shubair is a Full Professor of Electrical Engineering. He is affiliated with MIT since 2015 a Visiting Scientist at the Research Laboratory of Electronics (RLE), MIT Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. He is also affiliated with the University of Waterloo, Canada as a Visiting Professor at the Center of Intelligent Antennas and Radio Systems as well as at the Center of Bioengineering and Biotechnology. Beside his academic positions at MIT and Waterloo, he is serves since 2017 as a Senior Advisor and a Higher Education Expert in the Office of Undersecretary for Academic Affairs of Higher Education, Ministry of Education, Abu Dhabi, UAE. Prior to that, he has been a Full Professor of Electrical Engineering at Khalifa University (formerly Etisalat University College), UAE, which he joined in 1993 up to 2017. Prof. Raed Shubair received both his B.Sc. degree in Electrical Engineering (with Distinction and Class Honors) from Kuwait University, Kuwait in June 1989 followed by his Ph.D. degree in Electrical Engineering (with Distinction) from the University of Waterloo, Canada in February 1993. His PhD thesis received the University of Waterloo ‘Distinguished Doctorate Dissertation Award’. Prof. Raed Shubair has several research interests including Signal Processing for Wireless and Medical Applications. He has over 250 publications in the form of US patents, book chapters, journal articles in IEEE transactions, and papers in IEEE conference proceedings. Prof. Raed Shubair has been an invited speaker and gave technical talks at elite universities including in USA (MIT, Stanford, Harvard, UCLA, Ohio State, NYU, UCF), in Canada (Toronto, Waterloo, UBC, Carleton), and in UK (Imperial College London, and Queen Mary University of London). At his home university in UAE, Prof. Raed Shubair received, several times since 1993, both the ‘University Teaching Excellence Award’ and ‘University Distinguished Service Award’. He is also recipient of several international awards including the ‘Distinguished Service Award’ from ACES Society, USA and from MIT Electromagnetics Academy, USA. Prof. Raed Shubair organized, chaired, and delivered numerous technical special sessions and tutorials in IEEE flagship conferences. Prof. Raed Shubair is a standing member of the editorial boards of several inter-national journals and serves regularly on the steering, organizing, and technical committees of IEEE flagship conferences in Antennas, Communications, and Signal Processing including EuCAP2016, EuCAP2017, EuCAP2018, IEEE APS2017, IEEE APS2018, IEEE APS2019, IEEE, IEEE WCNC2018, IEEE ICASSP2018, IEEE GlobalSIP2018, IEEE APS2020, and IEEE ICASSP2020. He has served as the TPC Chair of IEEE MMS2016 and TPC Chair of IEEE GlobalSIP 2018 Symposium on 5G Satellite Networks. Prof. Raed Shubair holds several leading roles in the international professional engineering community including Member of the Executive Board for the European School of Antennas, Regional Director for the IEEE SP Society in the Middle East, and Chair of IEEE AP Society educational Initiatives Committee. He is Guest Editor of the IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology. Prof. Raed Shubair is nominee for the ‘IEEE Distinguished Educator Award’. Prof. Raed Shubair has been nominated by the President of IEEE Signal Processing Society to be Candidate-Elect for the position ‘Regional Director-at-Large’ in IEEE Region 8.
