Application form for Engineering and Archaeology 2024-2025
In collaboration with humanities and education researchers at HKU, we have innovated a new interest group at the Innovation Wing. In this group, we have undertaken several interdisciplinary projects to improve the way we can study and about human past. Our projects include the use of augmented and virtual reality technologies in recording, teaching, and presentation of archaeological sites, 3d archaeological databases. We are also studying the use of machine learning and computer vision for several purposes to study visual datasets such as satellite images of ancient landscapes, large language models like GPT in archaeology. We work with a field project that travels to Armenia each summer to excavate. We welcome anyone who would like to join our team, from any Faculty. We especially invite engineers and computer scientists, but we also have many other projects which anyone with an interest can join.
Let’s learn about the human past together! Thank you!
Please click on the area which you are interested in for respective introduction:
and Machine Learning
immersive learning
archaeological data collection
digital reconstruction of Vedi Fortress
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- Project goal: Develop and research creative new designs for human interaction with large archaeological datasets. Improve everyone’s ability to utilize raw archaeological data to better understand the human past by improving user designs and testing these designs for user experience with real users.
- Deliverable: A user-friendly, interactive, easy to use and understand 3D archaeological database will be created using the APSAP dataset.
and Machine Learning
- Project status: This project has applied machine learning to the automated detection and analysis of satellite and drone imagery, as well as drone-based lidar, to find new archaeological sites in the landscape.
- Deliverable: A working machine learning workflow for identifying archaeological sites in satellite, drone, and lidar datasets.
immersive learning
- Project status: This project has utilized 3D modeling and VR technologies to enhance student learning in the classroom about the spatial and visual characteristics of past materials.
- Deliverable: A software/hardware workflow to implement in an academic classroom for students to move from 3D modeling to VR immersive learning, together with ways to collect learning analytical data about student experiences on each step of the process.
archaeological data collection
- Project status: This project has improved hands-free 3D spatial data collection in the field during archaeological excavations and surveys through the use of AR smart glasses and a specially designed cloud-based data workflow.
- Deliverable: An AR software workflow integrated into AR smart glasses and connected to a cloud database to record structured and 3D geolocated data during archaeological excavation in Armenia, to be field tested in summer 2023.
digital reconstruction of Vedi Fortress
- Project status: This project has innovated the interpretation of archaeological sites and landscapes for the public using AR mobile apps for virtual reconstructions.
- Deliverable: AR software and workflows for presenting interpretations of ancient sites and landscapes in Armenia to tourist and the public, together with ways to collect analytical data about their experiences
Please click on the area which you are interested and view the respective recruitment details:
- web programmer (Python, Django, Postgre sql, Javascript)
- Computer Vision & Machine Learning Engineer
- Geo-Information Analyst
- Remote Sensing Specialist
- VR software programmer
- AR software programmer
- AR software programmer
Learn more about Ararat Plain Southeast Archaeological Project (APSAP)
Learn more about "Engineering and Archaeology" at Innovation Wing
Learn more about "Engineering and Archaeology" at Innovation Wing
- Field trip to Pokfulam Village: Engineering and Archaeology in Action!
- Technologies for Studying the Human Past @ 7th Inno Show
- (Workshop) Innovations in studying the past with technology
- Field trip to Wun Yiu Kiln Site: Experimentation with LiDAR and drone mapping on archaeological work
- Field trip to Wun Yiu Village: Innovative ways to automate archaeological work?