Seng Loke is Professor in Computer Science at Deakin University, Australia. He received his PhD from the University of Melbourne, Australia, in 1998. He currently co-directs the Platforms and Applications Lab, in the Centre for Internet-of-Things ECOsystems Research and Experimentation (CITECORE) and directs the Centre for Software, Systems & Society (CS3) at Deakin’s School of Information Technology. Also, he is Research Theme Leader on “Intelligent Built Environments” in the Live+Smart Research Lab at Deakin’s School of Architecture and Built Environment, and was previously an Adjunct Professor in the School of Engineering and Mathematical Sciences at La Trobe University, and an Adjunct Professor in the School of Business and Tourism at Southern Cross University. His interests include smart things, smarter cities and the Internet-of-Things, from cooperative vehicles to edge computing and the quantum Internet. He has authored ‘Context-Aware Pervasive Systems: Architectures for a New Breed of Applications’ published by Auerbach (CRC Press) (2006), and ‘Crowd-Powered Mobile Computing and Smart Things’ published by Springer (2017), and is lead author of `The Automated City: Internet of Things and Ubiquitous Artificial Intelligence’ published by Springer (2021). He served as a Technical Program Committee Vice-Chair for Percom 2023, and as a Program Co-Chair for MDM 2023. He has been on numerous program committee of conferences, and he was on the Program Committees of international conferences in agents, pervasive computing and mobile computing, such as CloudCom (2010), the International Conference On Autonomous Agents and Multi-Agent Systems (AAMAS) (2003, 2004, 2005), the IEEE Conference on Pervasive Computing and Communications (Percom) (2010, 2011), and IEEE Mobile Data Management (MDM) (2003, 2004, 2005, 2006). He was also involved in organizing numerous workshops and conferences, including Lead Co-Chair of the AwareCities Workshop at the 2016 International Conference on Pervasive Computing and Communications (Percom), Lead Co-Chair of the Internet of Cooperative Autonomous Things (IoCAT 2017) Workshop at Mobiquitous 2017, and Technical Program Committee Co-Chair for the 10th EAI International Conference on Mobile Networks and Management, MONAMI 2020. He was on the editorial board for the Sensors journal in the Internet-of-Things section. Seng is a member of the ACM. He has published over 300 research papers, including over 80 papers in journals such as IEEE Transactions on SMC, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, ACM Computing Surveys, IEEE Internet of Things Journal, IEEE Transactions on Cloud Computing, ACM Transactions on Embedded Computing Systems, IEEE Pervasive Computing, Service-Oriented Computing and Applications, IEEE Transactions on Automation Science and Engineering, and Pervasive and Mobile Computing.
He is also an ACM Distinguished Speaker: https://speakers.acm.org/speakers/loke_12769
DVP term expires December 2025
Algorithms for Cooperative IoT: From Edge Computing to Social Vehicles
Current technology trends including edge cloud computing, IoT and device mesh, crowd computing, the sharing economy, and collective computing, involve pooling together human and machine resources from crowds of devices and people in interesting ways, via relevant algorithms, in order to achieve better resource utilization and greater capabilities, on-demand. As things get connected, there is increasing opportunity for how they can connect, cooperate and collaborate, more than ever before. The talk will provide an overview of current technology trends and how computing with the cloud, the crowd and the Internet-of-Things are interacting, including algorithms for things and crowds cooperating. The following three concepts will be detailed: Crowd+Cloud Machines, Extreme Cooperation for IoT and Smart Vehicles, and Social Links for Crowds and Things. We will also explore current research in the above areas, and discuss social issues such as privacy and security, ethics and trust, as well as technical challenges and research directions.
Living in an Automated City: Promises and Perils
What if (almost) every aspect of a city is automated, from transportation, waste management, maintenance, policing to urban gardening? Developments in AI and the Internet of Things technologies have increased possibilities for automation, with new ways to improve quality of life for many. This talk discusses the promises and perils of living in a city with extreme automation and algorithmic governance, based on technology trends. From jammed walkways due to robot deliveries, bots policing jaywalking to living inside a robot, we explore scenarios and metaphors of what it means to live in an automated highly roboticized city.
Cooperative Vehicles: Is this the Future of Transport?
The connected automated vehicle holds great promise for revolutionizing transport. Advanced technologies including extensive sensing and Artificial Intelligence (AI) algorithms have enabled such vehicles to self-drive. Instead of being stand alone devices, this talk will examine the need for such automated vehicles to cooperate with each other and interact with their socio-cyber-physical environments. This talk explores current work in cooperation for automated vehicles, and argues for the need for such vehicles to behave cooperatively based on a form of social-AI capability, built on top of current and upcoming networking technologies.
- Algorithms for Cooperative IoT: From Edge Computing to Social Vehicles
- Living in an Automated City: Promises and Perils
- Cooperative Vehicles: Is this the Future of Transport?