- Design software packages to support planning, deploying and testing indoor positioning infrastructures in large venues at various scenarios (construction sites, hospitals, shopping malls)- Assist the next phase of development of indoor mapping, positioning and AR-assisted SDK in multiple platforms: Android, iOS, React Native and WeChat Mini Program.- Enhance home quarantine mobile solution and its associated data analysis platform to support quarantine policies of more regions in the… Show more - Design software packages to support planning, deploying and testing indoor positioning infrastructures in large venues at various scenarios (construction sites, hospitals, shopping malls)- Assist the next phase of development of indoor mapping, positioning and AR-assisted SDK in multiple platforms: Android, iOS, React Native and WeChat Mini Program.- Enhance home quarantine mobile solution and its associated data analysis platform to support quarantine policies of more regions in the world. Show less

- Develop software infrastructure to support the deployment of indoor positioning technology in large scale.- Design and implement indoor mapping and positioning SDK for Android and iOS.- Participate in the development of zone self-survey and out-of-zone alert system on mobile devices to assist quarantined people in the home quarantine scheme of the Hong Kong Government.

Supervisor: Prof. Shueng-Han Gary ChanFinal Year Thesis: Efficient Site Survey for Wi-Fi and Magnetic Signal (8 months)- Technology used: Java Android, Python Scienctific Packages (numpy, scipy, pandas, matplotlib, etc.)- Designed novel survey techniques that enable simultaneous recording of Wi-Fi and magnetic signal while reduce total survey time by 80%.- Integrated new site survey infrastructure with current indoor localization system.Project: Indoor Localization… Show more Supervisor: Prof. Shueng-Han Gary ChanFinal Year Thesis: Efficient Site Survey for Wi-Fi and Magnetic Signal (8 months)- Technology used: Java Android, Python Scienctific Packages (numpy, scipy, pandas, matplotlib, etc.)- Designed novel survey techniques that enable simultaneous recording of Wi-Fi and magnetic signal while reduce total survey time by 80%.- Integrated new site survey infrastructure with current indoor localization system.Project: Indoor Localization Server (5 months)- Technology used: Java Netty, Golang, Python- Transformed a research paper into an indoor localization system that was acquired by an industry partner. This system includes:+ A program which constructs building signal heatmaps using multi-user survey data+ A server program which streams various signals (magnetic field, wifi, etc.) from users’ smartphones and computes their positions in real time.- Develop several data visualization scripts to help test and fine-tune the core indoor localization algorithm.Project: Indoor Navigation & Building Management Framework (8 months)- Technology used: AngularJS, Python Django, PostgreSQL.- Renovated an old floorplan management system with more intuitive web-based user interface and better-defined backend database structure.- Improved the efficiency of an indoor path-finding algorithm by automating its data-preprocessing step and creating suitable data structures to speed up its running time.Project: Analytics Engine for Coupon Distribution System (1 month)- Technology used: AngularJS, NodeJS, Amazon Dynamo DB.- Designed a high-speed, stress-resilient server to handle requests of logging user behavior data from a coupon distribution mobile app.- Developed a scalable web application that helps the server administrator discover meaningful information from the logging database. Show less

- Facilitated the personal development activities of a group of 25 first-year students through moderating their group discussions and promoting effective teamwork.- Motivated students in the group to be proactive and take leadership roles in the activities of the Leadership Development Camp.

Course: ENGG 1200 (Engineering Team Design Experience: Airship)- Initiated and developed a digital scoring system which helps improve scoring time and accuracy in the course’s final competition.- Advised student teams in how to build an effective mobile app for airship control.- Collaborated with other student assistants to create programming tutorial materials based on students’ need and to design the course’s final competition.

Course: COMP 1022P (Introduction to Computing with Java)- Assisted the course's teaching assistant- Answered students' questions about lab assignments- Graded lab assignment demonstration

Supervisor: Prof. James She (Department of Electronic & Computer Engineering)Research topic: Accelerometer-based Gesture Control System on SmartwatchTechnology used: C, C#, Java- Examined nearly 30 research articles about gesture recognition in general to identify techniques that are best suited for accelerometer-based arm gesture recognition.- Created a novel, yet simple accelerometer-based algorithm that can recognize 6 different arm gestures.- Employed the newly… Show more Supervisor: Prof. James She (Department of Electronic & Computer Engineering)Research topic: Accelerometer-based Gesture Control System on SmartwatchTechnology used: C, C#, Java- Examined nearly 30 research articles about gesture recognition in general to identify techniques that are best suited for accelerometer-based arm gesture recognition.- Created a novel, yet simple accelerometer-based algorithm that can recognize 6 different arm gestures.- Employed the newly created algorithm to develop a system on Pebble Smartwatch, Android phone and PC that enables users to intuitively control an airship with their arm gestures. Show less