Keynote Speakers


Keynote Speaker 1: Dr. Hussein Fadhel

Dr. Hussein Fadhel graduated top of his class with B.Sc. degree in electronics and control engineering from Technical Engineering College Kirkuk – Northern Technical University, Iraq in 2007. He received his M.S. in engineering science with emphasis in telecommunications in May 2012 from the University of Mississippi, USA via a Fulbright scholarship he was awarded in 2010. He earned his Ph.D. in engineering science - electrical engineering with emphasis in communications and information theory from the University of Mississippi 2015 – 2019 via a grant from NASA. His research interests include channel coding, IoT networks, Low Power Wide Area Networks (LPWAN), and environment monitoring wireless sensor networks. Currently, he is a faculty member at Northern Technical University.


Title: LPWAN technologies – extending the range and applications for IoT: LoRaWAN as an example.

Abstract: Low-power wide-area networks (LPWAN)s are designed to provide wireless communication that can cover long ranges and offer the features of low power and low cost but at the cost of being limited to relatively low data rates. LPWAN technology is geared towards IoT and M2M applications with low data rates and usually infrequent transmission needs. The technology offers an efficient and desirable communication environment to many IoT applications and opens the door for innovative applications not possible before. LPWANs are ideal for smart metering, smart buildings and cities, smart agriculture, etc.

Commercially, different LPWAN protocols and manufacturers are in fierce competition for the IoT market with each contender offering a unique combination of features and utilization of resources. LoRaWAN, NB-IoT, and LTE-M technology standards are considered by many to be leading, at least so far.

This talk will introduce LPWAN technology, its features, requirements, applications, and what it represents for IoT. LPWAN will be compared with other wireless network techniques used for IoT. Finally, we will consider LoRaWAN as an example realization of LPWAN and discuss its main structure, application cases, and challenges.

Keynote Speaker 2 (Online): Prof. Dr. Seyedali Mirjalili

Professor Seyedali Mirjalili is the director of the Centre for Artificial Intelligence Research and Optimization at Torrens University Australia. He is internationally recognized for his advances in Swarm Intelligence and Optimization, including the first set of algorithms from a synthetic intelligence standpoint - a radical departure from how natural systems are typically understood. Prof. Mirjalili has published over 300 publications with over 40,000 citations and an H-index of 70. He has been in the list of 1% highly cited researchers for the last years and was named as the top AI researcher by the Australian Newspaper in 2021. From Google Scholar metrics, he is globally the 3rd most cited researcher in Engineering Optimization and Robust Optimization. He is serving an associate editor of Applied Soft Computing, Advances in Engineering Software, the journal of Algorithms.

Title: Artificial Intelligence in Renewable Energy


Abstract: This talk covers some of the challenges and emerging technologies in both areas of Artificial Intelligence and Renewable Energy. It shows how these two fields marries to help us in addressing the global challenges of present and future.