AI in smart city infrastructure management
Today, smart city technologies are driving new solutions to tackle emerging challenges in urbanization such as traffic congestion, air and noise pollution, safety and crime, emergency response, climate change, economic growth, and delivery of city services. These technologies are relying heavily on a highly complex smart city network infrastructure, including multiple layers, multiple communication technologies, multiple vendor equipment, and multiple traffic patterns. Such an infrastructure enables real-time situational awareness in the urban system by its ability to gather and integrate data at scale, securely and privately, from environmental, critical infrastructure, health and personal sensors. A significant amount of effort has been invested on architecting agile and adaptive management solutions in support of autonomic, self-managing smart city networks. Recent advances in network softwarization and programmability through Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), the proliferation of new sources of data, and the availability of low-cost and seemingly infinite storage and compute resources from the cloud are paving the way for the adoption of machine learning (ML) and artificial intelligence (AI) to realize cognitive network management in support of autonomic networking in smart city. In this talk, we will review challenges and issues when applying ML and AI in smart city network management, with a focus on infrastructure orchestration. We will also present a use-case of a smart city model built at the heart of Montreal, Canada, in collaboration with global players, including Ericsson, Ciena, Videotron, and Telus.
Prof. Nguyen Kim Khoa – University of Québec (Canada)
Kim Khoa Nguyen is Associate Professor in the Department of Electrical Engineering at the University of Quebec’s Ecole de technologie supérieure (ETS), Montreal, Canada. He has a PhD from Concordia University in Electrical and Computer Engineering. He served as CTO of Inocybe Technologies, a leading company in software-defined networking (SDN) solutions. He was the architect of the Canarie’s GreenStar Network and also involved in establishing CSA/IEEE standards for green ICT. He has led R&D in large-scale projects with Ericsson, Ciena, Telus, and InterDigital. He published extensively, and holds several industrial patents. His expertise includes smart city, cloud computing, IoT, big data, data center, network optimization, high speed networks, and green ICT.