Emily

Welcome students from Yuen Long Merchants Association Secondary School

Date: November 22, 2019 (Friday)Time: 11:30am – 12:30pmNo. of sessions: 2 sessions with 20 students per sessionParticipants: 40 Form 4 students Presenter: Timothy Ng and team representatives (‘BREED’ bio-inspired robotic group); Ivan Chau and team representatives (GG2EZ Drone Studio Team); Utkarsh Goel and team representatives (Clearbot team) Contact: Emily Leung and Edward Hung, Innovation Wing, Faculty of Engineering. Welcome …

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Faculty of Engineering Laboratory Tour – DreamLab

Date: November 16, 2019 (Saturday)Time: 10:00am – 12:00nnNo. of sessions: 6 sessions Presenter: Timothy Ng and team representatives (‘BREED’ bio-inspired robotic group); Jasper Yeung and team representatives (HKU Racing team); David Liu and Eric Chen (Robomaster team) Contact: Emily Leung and Edward Hung, Innovation Wing, Faculty of Engineering Welcome Dear Students, Welcome to the Dreamlab, a place where …

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Welcome students from King’s College

Date: October 4, 2019 (Friday)Time: 10:30am – 12:30pmNo. of sessions: 4 sessions with 11-12 students per sessionParticipants: 45-50 Form 5 students Presenter: Mr. Timothy Ng, leader of the Vayu Robotic Fish Team; Robomaster, HKU Racing and Clearbot team representatives Contact: Miss Emily Leung and Mr. Edward Hung, Innovation Wing, Faculty of Engineering. Welcome Dear Students, Welcome to the Dreamlab, …

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ClearBot: Decentralized Robot Swarms to Clean our Oceans

Ocean plastics destroy our natural marine and coastal habitats, endanger wildlife across the globe, pollute our food chain, and ultimately affecting the global water-food-energy nexus. Here, we present ClearBot, a scalable, AI-powered, plastic collecting intelligent robotic solution to address the ocean plastic epidemic with a sustainable community-centric symbiotic ecosystem.

Welcome students from St. Mark’s School

Date: July 9, 2019 (Tuesday)Time: 9:45am – 10:15amNo. of sessions: 2 sessions with 15 students per sessionParticipants: 30 Form 2 students Presenter: Mr. Wong Matthew Sing Ho, team member of project Smart Life Vest; Mr. Timothy Ng, leader of the Vayu Robotic Fish TeamContact: Miss Emily Leung and Mr. Edward Hung, Innovation Wing, Faculty of Engineering Welcome Dear Students, Welcome …

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Welcome students from the Kowloon Technical School and the Lung Cheung Government Secondary School

Date: July 11, 2019 (Thursday)Time: 3:45pm – 5:00pmNo. of sessions: 3 sessions with 20 students per sessionParticipants: 50–60 Form 5 students Presenter: Mr. Timothy Ng, leader of the Vayu Robotic Fish Team.Contact: Miss Emily Leung and Mr. Edward Hung, Innovation Wing, Faculty of Engineering. Welcome Dear Students, Welcome to the Dreamlab, a place where we turn our ideals and …

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MAXAR

To give an impressive presentation, we always use visual aids to emphasize key points. However, we usually use presentation slides. Then our team came up with a question – Why don’t we combine AR technology with presentations? MAXAR is a mobile application which utilizes AR technology to facilitate presentations. Users prepare their visual aids in our application by adding 3D elements or 3D text. They can either record their presentations and upload them to the Internet or deliver their presentations directly in front of the audience using their own device.
Our application shows an incredible potential in STEM education, e-learning, and entertainment.

SpaceKey: Exploring patterns in spatial databases for property searching

The demand for property is steadily rising with the significant market size of real estates across the world. Looking at the existing property searching applications, they only provide simple filtering functionalities about the properties, such as price, size, etc. However, in reality, users might have some complex requirements about the surroundings of their desired properties. To deal with this unsatisfied demand, we choose to facilitate an advanced query type – Spatial Pattern Matching (SPM), which is a new type of spatial group keyword query raised in recent research. Led by our supervisor, Dr. Reynold C. K. Cheng, its solutions have been well-discussed in theory. In our project, we want to fit these theories in this real-life scenario by resolving practical issues, as well as realizing some additional functionalities related to property searching. In the end, we have developed a standalone web-based application to demonstrate the importance and practicality of this newly proposed functionality.

Understanding financial reports using natural language processing

This project investigates how mutual funds leverage credit derivative by studying their routine filings to the U.S. Securities and Exchange Commission. Credit derivatives are used to transfer credit risk related to an underlying entity from one party to another without transferring the actual underlying entity. Therefore, we developed both rule-based and NLP based methods to extract CDS information from thousands of files and aggregate into a dataset and further developed a one of its kind search engine to provide quick access to historic data