The Internet of Things (IoT) has made a tremendous impact on our society in almost every sector, ranging from smart cities and e-health to autonomous vehicles and energy. The unprecedently large amounts of IoT data – Big IoT Data – has made the data collection, analytics and decision-making cycle very challenging. Artificial Intelligence (AI) is playing an important role to address these challenges through accurate analytics and timely decision-making, for both application data (or end-user data) and in-network data (or network packets). Moreover, with flexible deployment, ranging from the sensor board level to the cloud, AI has given designers and end users lots of potential to better benefit from this technology. However, there are still fundamental research questions that need to be addressed for a better use of AI in this domain, including:
1- What are the best AI tools to be used for IoT data analytics?
2- How can deployment strategies affect AI performance?
3- What is the impact of AI tools on the IoT security threat landscape?
This talk gave an answer to these questions through concrete examples and use cases and discussed future research trends in this field.
Quick details about the event:
Date: 30 November 2023
Time: 14:00 – 15:00
Venue: Khalifa University, Main Campus, R03014
Speakers’ bio:
Dr. Mohamed Ibnkahla joined the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada, in 2015 as a Full Professor. He holds the Cisco Research Chair in the Internet of Things (IoT) and the Natural Sciences and Engineering Research Council (NSERC)/Cisco Industrial Research Chair in Sensor Networks for IoT.
Prior to joining Carleton University, he was a Professor at the Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada, from 2000 to 2015.
He obtained his Ph.D. degree from the National Polytechnic Institute of Toulouse, Toulouse, France, in 1996. His Ph.D. manuscript, “Neural Networks: New Architectures and Applications to Digital Communications,” was among the pioneering research works that created innovative Machine Learning (ML) tools and introduced them to the field of Digital Communications.
Over the past 10 years, he has been conducting multidisciplinary research projects designing, developing, and deploying secure and reliable IoT systems in various domains, including intelligent transportation systems, e-health, smart buildings, renewable energies and smart grid, public safety and security, environment monitoring, and smart cities. He has extensively developed and investigated AI and ML tools for IoT data analytics, including end-user data and in-network traffic data.
He has published six books, more than 70 peer-reviewed journal papers and book chapters, 30 technical reports, 120 conference papers, and 4 invention disclosures. He is the author of Wireless Sensor networks: A Cognitive perspective (CRC Press—Taylor and Francis, 2012) and Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle (CRC Press—Taylor and Francis, 2015).
Dr. Ibnkahla received the Leopold Escande Medal, 1997, France, and the Premier’s Research Excellence Award, Canada, 2001. He is the joint holder of 5 Best Paper Awards, including IEEE GLOBECOM Conference, Workshop on Experimental Wireless Platforms, December 2022.
In May 2022, he was recognized by IEEE Women in Engineering as “a man who supports the development and career growth of women… who actively changed the rules in the educational or working environment to promote inclusion”.
