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Artificial Intelligence of Things
Analytics & IoT / AI & FinTech
Artificial Intelligence of Things (AIoT) lies at the intersection of Artificial Intelligence (AI) technologies and Internet of Things (IoT) infrastructure. AIoT aims to achieve smart IoT operations that optimise human-machine interaction, and data management and analytics.
More specifically, IoT is set to disrupt the way we live and work. Smart homes that are filled with connected devices are loaded with endless possibilities to make our lives easier, more convenient, and more comfortable. Industry 4.0, which is powered by Industrial IoT (IIoT), promises to turn smart manufacturing and smart factory into a reality.
IoT devices are expected to generate a huge volume of data. AI techniques such as machine learning and deep learning can help individuals and organisations alike to realise unprecedented business values from these data.
In this workshop, you will learn how to work with single-board microcontrollers and computers in conjunction with various connected devices such as sensors, actuators, smartphones, smartwatches, Bluetooth Low Energy beacons, and other interesting hardware to build various smart home and industry scenarios. You will also learn how to integrate a real-time data pipeline for visualising and analysing the data that are collected by these devices to create a smart AIoT system.
More specifically, IoT is set to disrupt the way we live and work. Smart homes that are filled with connected devices are loaded with endless possibilities to make our lives easier, more convenient, and more comfortable. Industry 4.0, which is powered by Industrial IoT (IIoT), promises to turn smart manufacturing and smart factory into a reality.
IoT devices are expected to generate a huge volume of data. AI techniques such as machine learning and deep learning can help individuals and organisations alike to realise unprecedented business values from these data.
In this workshop, you will learn how to work with single-board microcontrollers and computers in conjunction with various connected devices such as sensors, actuators, smartphones, smartwatches, Bluetooth Low Energy beacons, and other interesting hardware to build various smart home and industry scenarios. You will also learn how to integrate a real-time data pipeline for visualising and analysing the data that are collected by these devices to create a smart AIoT system.
About Professor
Professor Tan Wee Kek
Department of Information Systems and Analytics, School of Computing, NUS
Dr. Tan Wee Kek is currently a Senior Lecturer in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore (NUS). He is also a Fellow of the prestigious NUS Teaching Academy.
He holds a Doctor of Philosophy in Information Systems and a Bachelor of Computing in Information Systems (1st Class Honours), both from NUS.
He has more than a decade of experience in teaching students how to design and develop large-scale enterprise software systems. He has also taught many courses on digital commerce, data analytics, and most recently Internet of Things (IoT). He has won multiple Faculty Teaching Excellence Awards and University-level Annual Teaching Excellence Awards over the years, and he has also been placed on the honour roll of both awards. Most recently, he was conferred the Commendation Medal (Pingat Kepujian) by the President of Singapore on the occasion of the National Day Award 2017.
His research interests primarily focus on consumer-based information technology and the design science paradigm. His work has been published in journals such as Journal of the American Society for Information Science and Technology (JASIST) and Decision Support Systems (DSS).
Department of Information Systems and Analytics, School of Computing, NUS
Dr. Tan Wee Kek is currently a Senior Lecturer in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore (NUS). He is also a Fellow of the prestigious NUS Teaching Academy.
He holds a Doctor of Philosophy in Information Systems and a Bachelor of Computing in Information Systems (1st Class Honours), both from NUS.
He has more than a decade of experience in teaching students how to design and develop large-scale enterprise software systems. He has also taught many courses on digital commerce, data analytics, and most recently Internet of Things (IoT). He has won multiple Faculty Teaching Excellence Awards and University-level Annual Teaching Excellence Awards over the years, and he has also been placed on the honour roll of both awards. Most recently, he was conferred the Commendation Medal (Pingat Kepujian) by the President of Singapore on the occasion of the National Day Award 2017.
His research interests primarily focus on consumer-based information technology and the design science paradigm. His work has been published in journals such as Journal of the American Society for Information Science and Technology (JASIST) and Decision Support Systems (DSS).
