Faculty of Engineering


At Tenki, we hope to delivery accurate local weather data to Hong Kong citizens in minimal manner.

Tenki is a revolutionary weather app. Retrieving its data from Hong Kong Observatory, Tenki provides accurate local weather data to HK citizens. The redesigned minimalistic user interface provides a distinctive and holistic user experience. Users get to access their desired information at their fingertips.

Tenki updates weather information according to users’ location. Users can receive notifications in case of special weather conditions. They can also access to other information such as weather forecast and astronomic data.


People often relate eating alone with loneliness. A research found that eating alone may result in various health problems including depression, obesity and having metabolic syndrome. There are different constrains, like time limit and geological separation, in finding friends to gather for lunch, yet, having lunch is a good social activity to meet people. LunchToGether is a match app for lunch dates, linking people in nearby region wishing to have lunch in the same period of time together to form lunch date groups. The app features instant multiple matching. Whenever you would have lunch, launch the app, then we will make all the arrangements for you.

Go Princess

Go Princess is a 2D escape adventure game made with unity. While sleeping beauty waits hundreds of years for prince’s kiss, our princess wakes up and fight for her destiny. The princess has two tasks, namely keeping alive and escaping. To keep alive, princess should elude possible monsters in her way out. She also need to walk around to find food to support since health point decreases with time. To find the way to escape, she will interact with many NPCs in castle, from whom she might receive messages or useful tools. Finally she will fight with wizard in the main door to get freedom.

3D Food printer

The project aims to build a 3D food printer that is user-friendly for household users, through remodelling of the TEVO Tarantula 3D printer. Upon completion on configuration of hardware and software, an extrusion system is designed based on a meat mincer. The goal of this project is to print the customised dish with food material in high precisity. Another focus of this project is exploring food material applicable for 3D printing. With rich nutrient content and high formability, potatoes is chosen to make a great show with other supporting actress. The effort paid by the team does make an exciting return. It is wished that the efficiency of the printer can be greatly enhanced in the foreseeable future and finally be a necessary for a home.

Advancing optical label-free cellular imaging – from instrumentation to cell assays

Quantitative phase imaging (QPI) is an advanced optical microscopy technique that requires no sample staining and allows quantitative measurement of biophysical parameters of the cell specimens. This technique is desirable especially in live-cell imaging, as it can yield cellular dry mass distribution, intracellular dynamics as well as size of cells with minimal intervention/damage to the sample. A compact and easily-compatible setup of QPI was developed and applied to a wide range of biomedical applications, ranging from fundamental biological studies in brain imaging, to the clinical studies in drug-screening for breast cancer cells and characterization of pathogenic bacteria biofilms.


We are a research data crowdsourcing platform for researchers & AI companies to collect & enrich data with the help from public contributors. We are founded by a group of HKU BBA(IS)/CS graduates and MSc(CS) students, supported by HKU, Cyberport and HKSTP.

If you need labels & annotations for your AI/ML projects, or look for manpower for collecting & preprocessing data, we can help save time & resource required to manage the data contributors and collect more quality & diverse data efficiently. Our platform currently specializes in offering:
1. Image/Video/Audio/Doc tagging & annotation
2. Survey
3. Sentiment analysis

Realistic visualization of bridge structure in a Virtual Reality environment

Efficient collaboration of data is essential for successful project delivery of
Building Information Modeling (BIM), which mainly relies on its visualization performance. VR technology can extend the advantage to create a more engaging and realistic environment for every stakeholder. As a large number of software for BIM and VR computing are available on the internet, it is vital to find the most effective workflow to transfer the project from modeling tool to the VR engine.
In this project, we would explore the performance of different software and hardware to find the best solution to BIM-VR collaboration workflow.

Single cell traction force measurement assay with multiphoton-based protein micropatterns

A multiphoton-based protein micropatterning technique was developed in our lab previously. In this project, protein micropillar arrays were fabricated for cell seeding, and it was utilized for single cell traction force measurement. On the other hand, a method for encapsulating cells in collagen gel for cell therapy was also developed in the lab before. In order to improve the efficiency of cell therapy using this method, characteristics of these cells has to be identified. Therefore, the traction force of stem cells that are migrated out from the gel and the cells that are not encapsulated in the gel were measured and compared to understand the differences between them.

Identifying priority areas for the improvement of minibus service quality

The minibus is the third most popular form of transportation in Hong Kong, contributing 13% of all trips made in the city. This project aims to identify the priority areas for improvement of minibus services quality which could serve as a reference for related policy making in the future. An on-street questionnaire survey was conducted in December 2018 to collect the up-to-date data, primarily on the public’s ratings on 10 selected service aspects. An ordered logit model was then calibrated for the data to identify the relative importance of these 10 service aspects. After having the relative importance and the satisfaction ratings, an importance-satisfaction analysis was carried out to find out which service aspect has the highest priority for improvement. Result shows that among the 10 service aspects, “in-vehicle comfort” has the highest priority for improvement in both green and red minibuses.