Smart City Day

08.30am - 09.15am: Invited Talk by Ankur Teredesai, Professor, Univ. of Washington & CEO, Digital Health AI Startup

 

09.15am - 10.00am: Panel Session

  • Chair: King Wang Poon, Director of the Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design (SUTD)
  • Ankur Teredesai, Professor, Univ. of Washington & CEO, Digital Health AI Startup
  • Sutowo Wong, Director, Data Analytics at Ministry of Health Singapore
  • Jianquan Liu, Director of Media Analysis Platform Research Group, Visual Intelligence Research Laboratories, NEC Corporation, Japan

10.00am - 10.30am: Coffee Break

10.30am - 12.00pm: Smart City Talks

SmartCityBus - A Platform for Smart Transportation Systems

Georgios Bouloukakis (Télécom SudParis), Chrysostomos Zeginis (Institute of Computer Science - FORTH), Nikolaos Papadakis (Institute of Computer Science - FORTH), George Christodoulou (University of Ioannina), Chrysanthi Kosyfaki (University of Ioannina), Konstantinos Lampropoulos (University of Ioannina), Kostas Magoutis (Institute of Computer Science - FORTH, University of Crete) and Nikos Mamoulis (University of Ioannina)

Metropolitan-scale Mobility Digital Twin

Zipei Fan (University of Tokyo), Renhe Jiang (University of Tokyo) and Ryosuke Shibasaki (University of Tokyo)

Towards an Event-Aware Urban Mobility Prediction System

Zhaonan Wang (University of Illinois Urbana-Champaign), Renhe Jiang (University of Tokyo), Zipei Fan (University of Tokyo), Xuan Song (University of Tokyo) and Ryosuke Shibasaki (University of Tokyo)

Student Behavior Pattern Mining and Analysis: Towards Smart Campuses

Teng Guo (Dalian University of Technology) and Feng Xia (Federation University Australia)

12.00pm - 01.30pm: Lunch

01.30pm - 03.15pm: Smart City Ideation Challenge Pitch Presentations

Finalists for Spam & Misinformation Track:

Online Misinformation Detection in Live Streaming Videos

Rui Cao (Singapore Management University)

Multilingual Misinformation Detection in Low-Resource Domains with Conversation-based Reasoning

Hongzhan Lin (Hong Kong Baptist University) and Mingfei Cheng (Singapore Management University)

Fake news detection via cross-platform information tracing

Zhouhan Chen (Safe Link Network) and Swapneel Mehta (New York University)

Finalists for Sustainability & Carbon Neutrality Track:

The Smart Software Application for Food and Beverage Businesses

Carine Ng (Singapore General Hospital) and Joel Quek (PSA Singapore)

Automatic domestic solid waste sorting system with multiple sensors

Yue Zhao, Xi Lu, Ziqi Jin, Wenjie Tan and Jia Li (Shanghai Jiao Tong University)

The Case for AI in Food Waste

Darren Lee, Wei Yi Teo, Angus Saw, Justin Lim and Weihan Feng (AI Apprentice Batch 11)

03.15pm - 03.45pm: Coffee Break

03.45pm - 04.30pm: AI Singapore Presentation & Award Ceremony

Ankur Teredesai

Ankur Teredesai

Professor, Univ. of Washington & CEO, Digital Health AI Startup

Title: Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation

Abstract: Promoting health, preventing disease, and prolonging life are central to the success of any smart city initiative. Today, wireless communication, data infrastructure, and low-cost sensors such as lifestyle and activity trackers are making it increasingly possible for cities to collect, collate, and innovate on developing a smart infrastructure. Combining this with AI driven disruptions for human behavior change can fundamentally transform delivery of public health for the citizen patient. Most urban development government bodies consider such infrastructure to be a distributed ecosystem consisting of physical infrastructure, institutional infrastructure, social infrastructure and economic infrastructure. In this talk we will focus mostly on the social health infrastructure component and first showcase some of the recent initiatives created with the purpose of addressing health which is a key social goal, as a smart city goal. Specifically, we will discuss how technical advances in IoT, recommendation systems, geospatial computing, and digital health therapeutics are creating a new future. Yet, such advances are not addressing the issues of making healthy behavior change sustainable with broad health equity for those that need it most. Overwhelming nature of siloed apps and digital health solutions which often leave the citizens overwhelmed and those most in need underserved. This talk highlights the advances and opportunities created when behavioral economics and public health combine with AI and cloud infrastructure to make smart public health initiatives personalized to each individual citizen patient.

Bio: Prof. Ankur Teredesai is a Full Professor w Tenure of Computer Science & Systems at the School of Engineering & Technology, University of Washington. Today healthcare technolgy solutions are complex, with increasing emphasis on AI driven software. Dr. Teredesai's research on AI Regulation of solutions for personalization of decisions in healthcare has widespread applications. He is an invited member of global industrial and governmental partnerships pushing the boundries of innovation and policy in this field.

Prof. Teredesai has published 100+ papers on machine learning and his work is deployed across various industries (advertising, recommendation systems, global health systems). The work has been recognized in popular press as well as academic citations.

Since 2009 his research contributions have led to advancing our understanding of risk and utilization of chronic conditions such as diabetes and heart failure. In 2015, after years of collaborative and applied research on large clinical and claims datasets, Prof. Teredesai founded KenSci, a spin-off form the University of Washington, which was acquired in 2021.

Prof. Teredesai served as the Information Officer for ACM SIGKDD (Special Interest Group in Knowledge Discovery and Data Mining) from 2006 to 2018 and as past general Chair of KDD 2019. He is currently an associate editor for ACM SIGKDD Explorations and serves on several program committees of conferences in AI & machine learning.

Prof. Teredesai is an active advocate and mentor for non-traditional and women students to take up computing careers.