Technical Program

Workshop Program:

July 3rd, 2:00PM - Room SR4D (Registration Level 4)

more info on the venue can be found at https://mdmconferences.org/mdm2023/venue_travel.html

SCHEDULE:

2:00 PM - Keynote: "Recent Advancements in AI Applications for Smart Cities" by Prof. Yeo Chai Kiat

3:00 PM - Tea Break

3:30 PM - Workshop Papers Presentations (15 min + 5 min Q&A):

"Towards World Wide Context Management: Architecting Distributed Contextual Intelligence Systems for Real-Time IoT Applications", Shakthi Weerasinghe, Arkday Zaslavsky, Seng Loke, Valeh Moghaddam and Christian Becker
"DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices", Luca Arrotta, Gabriele Civitarese, Riccardo Presotto and Claudio Bettini
"Situation-based Query Generation for Performance Evaluation of Cloud Managed IoT Applications", Shalmoly Mondal, Prem Prakash Jayaraman, Alireza Hassani, Pari Delir Haghighi and Dimitrios Georgakopoulos

4:50 PM - Closing Remarks

KEYNOTE "Recent Advancements in AI Applications for Smart Cities" by Prof. Yeo Chai Kiat

Abstract: AI and IoT are two of the most transformative technologies of our time. IoT is considered as one of the foundational infrastructures to support AI applications in smart cities given its data collection, integration, real-time monitoring and control abilities. This talk will cover recent examples of how AI is being applied in Singapore as well as discuss some of our recent works in using AI to improve our infrastructure and services.

Chai Kiat YEO is an Associate Professor in the School of Computer Science and Engineering (SCSE) at the Nanyang Technological University (NTU), Singapore. She is currently the Deputy Director of Singtel Cognitive land Artificial Intelligence Lab for Enterprises@NTU (SCALE@NTU) and the Programme Director for the research theme on Condition based Maintenance. She is also the Assistant Chair (Faculty) of SCSE. She received her BEng and MSc degrees from the National University of Singapore and her PhD degree from NTU. Her research interests are in anomaly detection, predictive analytics, machine learning and mobile adhoc networks