The Department of Digital and Intelligent Technology has equipped itsprogrammes with comprehensive research and teaching laboratory facilities. Operating under a laboratory system of “one foundation plus three specialisations”, with a foundational computing and data-processing experimental platform at its core, the system develops two distinctive research directions: Marine Ubiquitous Sensing Technology, Embodied Intelligence Technology, and Multimodal Smart Health Technology.

Guided by these technology directions, the system comprehensively covers computing capacity, operational equipment, sensing and instrumentation, and algorithmic support, providing systematic support backing for course-based experimental teaching, academic capstone research, and student-led innovation research.

1. Foundational Laboratory

For foundational experimental teaching, the Department has established three multimedia classrooms at China Civil Plaza campus to form a foundational experimental platform system for the master’s and doctoral programmes in Digital and Intelligent Technology. This platform hosts experimental teaching in computer fundamentals, data analysis and artificial-intelligence.

• Multimedia Classroom A(8th floor, 50m²), focuses on computer and database fundamentals to strengthen students’ computing and data-processing capabilities.
• Multimedia Classroom B(8th floor, 55m²), focuses on the foundations of data analysis, machine learning and deep learning, supporting training in core algorithmic methods.
• Multimedia Classroom C(9th floor, 67m²) is oriented toward frontier AI technologies hosting foundational experiments in LLMs, multimodal technologies and embodied intelligence, providing students with a practical platform for engaging with frontier methods and research directions.

Together, the three experimental spaces form a progressive support structure spanning foundational skills and methodological training to frontier technologies. In combination with the specialised research laboratories, they constitute a robust, tiered experimental support system spanning foundational learning, advanced work and research.

2. Specialised Laboratory 1:IoT Lab for Marine Ubiquitous Perception 

• Technology focus:Integration of Marine Intelligent Sensing and IoT Technologies
• Location &Space: R&D Base at Macao Fisherman’s Wharf (510m²）

This laboratory focuses on integrated innovation in marine intelligent sensing and IoT technologies. Its end-to-end research platform supports the development of high-level marine science and technology talent and frontier research. Five functional modules cover the full workflow: prototype design and fabrication; hardware system design and development; multi-factor marine-environment information processing; algorithm simulation and hardware-in-the-loop (HIL) simulation; and on-water testing. Together, they establish a complete research process from theoretical modelling to field validation.

• Hardware Infrastructure: Equipped with two experimental unmanned surface vessels(USVs), two sets of miniature intelligent buoys and one spherical marine-detection buoy system, incorporating BeiDou, LoRa, NB-IoT and 5G multi-standard communication modules, supported by two data servers and a marine-hazard numerical forecasting and simulation system. This creates a closed loop covering marine data acquisition, transmission, storage and early warning. 
• Software &Simulation Resources: Includes a USV autonomous-control HIL simulation platform, computational fluid dynamics (CFD) software, CAD/SolidWorks modelling software, a VHF/low-Earth-orbit satellite test system, marine digital-twin simulation software and USV navigation-control simulation software. These professional tools support high-precision modelling, simulation and system verification.
• Research Scope:Supports master’s and doctoral students in frontier research on topics such as attitude-control methods for USVs under multiple compound disturbances, coordinated formation control of multiple unmanned platforms, and multi-feature modelling and simulation of tropical cyclones in the western Pacific. In addition to pursuing technological breakthroughs in marine science and technology, the laboratory adopts an interdisciplinary training model that provides a strong foundation for students to become advanced, versatile professionals with capabilities in hardware development, algorithm construction and complex-system verification.

3. Specialised Laboratory 2: Embodied AI Lab

• Technology focus: Multimodal Embodied Intelligence Technology
• Location& Space: Room G15, Taipa Campus (50 M2)

The Embodied AI Lab conducts teaching and research related to embodied intelligence, serving as a specialised extension that closely integrates academic research with advanced graduate teaching in master’s and doctoral degree programmes, with the goal of becoming a leading demonstration base for digital and intelligent technology in the GBA.

• Hardware &Systems: Equipped with high-end professional systems, including an RTX 3090 workstation, AlohaMini/LeRobot robotic platforms, an AmazingHand dexterous hand, a Unitree quadruped robot, an AgiBot robot and an EEG acquisition and R&D kit. These resources form a composite experimental system combining “AI + robotics + health + multimodal LLMs”.
• Capabilities:Features end-to-end R&D and engineering-validation capabilities spanning computing provision, algorithm validation and application deployment. It deeply integrates artificial intelligence, robotics, smart health and wellbeing, neuroscience and other disciplines.
• AcademicApplication: It offers a range of advanced master’s and doctoral electives, including Intelligent Robotics, Reinforcement Learning and Autonomous Systems, and Embodied Intelligence. Focusing on frontier areas such as multimodal intelligence, embodied intelligence and smart health, the laboratory provides graduate students with a diverse research platform and robust hardware support for project development and frontier academic-paper research.

4. Specialised Laboratory 3: Lab for Multimodal Intelligent Health Collaboration

• Technology focus: Multimodal Smart Health Technology
• Location& Space: Room G03, Taipa Campus (70 m²)

This laboratory is a core research and teaching platform of the Department, dedicated to advancing the deep integration of health sciences and digital technology.

• Computing Infrastructure: Featuresa shared computing cluster with “extreme scalability”. Its modular architecture supports the flexible expansion of computing and storage nodes in response to research needs. Combined with AI servers, high-memory computing servers, a petabyte-scale storage array, and 36 high-performance teaching computers, it provides stable support for large-scale LLM training and complex data modelling.
• Core Research Modules: The laboratory’s research focuses on three modules.

1. Medical-image AI analysis:Uses computer vision to process high-dimensional images (such as MRI and X-rays) and develops computer-aided diagnosis (CAD) systems to improve diagnostic accuracy.
2. Multidimensional health-data modelling:Integrates genetic, environmental, lifestyle and physiological indicators to construct personalised “health digital twins” for risk early warning.
3. Intelligent diagnosis, Treatment,and Visualisation: Develops digital health assistants and 3D holographic systems to support clinical collaboration.
4. AgriculturalSynergy: Applies multimodal technologies to crop breeding, analysing multisource spatiotemporal data on plant growth to explore smart nutrition and functional-food development and extend these technologies into diverse areas of the health industry.

• Educational Model:The laboratory adopts a “coursework + problem-oriented research” model covering machine learning, LLMs, and bioinformatics, with the aim of cultivating interdisciplinary professionals who combine Digital and Intelligent Technology expertise with a health-management perspective.