Project

Project

01.

AR Ricci's Map

At the "China in Maps" exhibition in the HKUST library, we designed and implemented a system that uses AR to augment the historically significant Mateo Ricci's 1602 map, providing users with a novel experience related to the map. With our system, users can compare various maps, receive multilingual support, and interact with Ricci's map projected onto an actual globe. The exhibition is scheduled to run from October 2023 for a year.

AR Ricci's Map
ARDigital HumanityMedia Art
02.

Predicting the destinations of Congolese refugees

Working with the United Nations, we studied refugee destination predictions in the Democratic Republic of Congo. After assessing IT's role in refugee aid, my team crafted a model predicting group movements based on factors like irregularities, local ethnicity, language, and geography. Predicting these flows aids in proper relief distribution. Our results were shared at the International Development Conference and featured in a Bright Network book chapter. Please see Publication for the details.

Predicting the destinations of Congolese refugees
Machine LearningAI4Good
03.

AI Meets Car Sharing

By examining the "free float" car sharing service, which lets users rent and return cars anywhere within a set area, we identified a demand-supply imbalance hindering service use. My team introduced a solution using multi-agent system concepts from artificial intelligence. Our findings were presented and published at the prestigious AAAI artificial intelligence conference. Please see Publication for the details.

AI Meets Car Sharing
Smart CityAI

Data Vizualization

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Covis Case

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Styles of Beer

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Spotify Music

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Land Price of Tokyo

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Rough Violin Plot

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Annual Income of Tokyo