Sustainability X-Lab
Sustainability X-Lab is an interdisciplinary research platform focused on AI-driven climate, energy, ecological, and urban systems. The lab is dedicated to developing intelligent methods and decision-support tools for climate change mitigation and adaptation, energy transition, ecological protection, and sustainable urban development. By integrating artificial intelligence, digital Earth modeling, remote sensing, large-scale environmental data, and policy simulation, X-Lab investigates the complex interactions among the Earth system, human society, energy infrastructure, and natural ecosystems. Its research spans AI-enabled sustainable manufacturing transformation, flexible and net zero energy systems, urban net-zero development, autonomous intelligent systems, urban resilience and climate risk forecasting, and AI for ecological and environmental change across building, city and global scales.
Led by Prof Xiaoling Zhang, Sustainability X-Lab brings together a research community of young scientists, engineers, and innovators from the University of Hong Kong and beyond, committed to producing scientifically robust insights and practical, cost‑effective solutions for global environmental change and sustainable development challenges.
Research Focus of X-Lab
Zero-Carbon Energy Systems and Pivotal Disruptive Energy Technologies:
Integrating Artificial Intelligence, Big Data Analytics, Geographic Information Systems, and the Internet of Things to Advance Next-Generation Renewable Energy Solutions, Enable Data-Driven Optimization and Operational Decision-Making, and Foster Interdisciplinary, System-Level Innovation for Deep Decarbonization of the Energy Sector. A few specific research foci are highlighted below:
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Integrating Artificial Intelligence, Big Data Analytics, Geographic Information Systems, and the Internet of Things to Establish Intelligent, Efficient, and Renewable-Dominated Energy Systems;
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Advancing Next-Generation Renewable Energy Innovations to Overcome Systemic Challenges in Energy Conversion, Storage, and End-Use Efficiency Across Global, Urban, and Building Scale;
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Developing High-Performance Energy-Efficient Building Materials, Designing Net-Zero Energy Water Supply Infrastructure, and Accelerating Research, Development, and Standardization of Energy-Storage-Integrated and Zero-Carbon Buildings;
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Enhancing System Flexibility and Resilience in Urban, Building, and Transportation Energy Sectors through Data-Driven Analytics, Multi-Objective Optimization Models, and Decision-Support Frameworks, with Emphasis on High-Penetration Renewable Integration, Dynamic Demand Response, Intelligent Electric Vehicle Charging Infrastructure, and Building-Level Energy Performance Optimization.
AI-Driven Optimization of Urban Net Zero Transportation and Autonomous Intelligent Systems:
To harness visual and multimodal AI, edge computing, and sensor-guided robotics to optimize autonomous vehicles, electrified mobility platforms (e.g., eVTOLs), smart building energy systems, and urban logistics, thereby enhancing operational efficiency and enabling net-zero carbon urban transportation and built environments through real-time, sensor-based decision-making.
Urban-Rural Resilient System Modelling and Climate Risk Prediction:
Integrating Artificial Intelligence with Earth Observation and Remote Sensing Technologies to Forecast Extreme Weather Hazards, Inform Adaptive Infrastructure Planning, Develop Climate Risk Transfer Mechanisms and Financial Instruments, and Enable Integrated Management of Compound Climate Risks—including Heatwaves, Floods, and Cascading Environmental Disruptions.
Artificial Intelligence for Ecology and Biodiversity Conservation:
Leveraging High-Resolution Habitat Monitoring, Remote Sensing, and Machine Learning to Transform Biodiversity Assessment, Detect Ecological Threats, and Enable Evidence-Based Conservation Strategies and Integrated Ecological Risk Management.
X-Lab Director
Prof. Xiaoling Zhang
Sustainability X-Lab (Director)
Professor Xiaoling Zhang is a member of the Institute for Climate and Carbon Neutrality (ICCN) and holds the position of full professor in the Department of Real Estate and Construction, Faculty of Architecture, at HKU. She is a sustainability scientist primarily focusing on the intricate relationship between humanity and the environment. Her work centers on developing models of the carbon-climate-human system by understanding the interactions and feedback mechanisms within this coupled complex system, as well as the socio-ecological processes influencing climate and global environmental change. As the Director of 'Sustainability X-Lab', she spearheads a research team delving into four core themes:
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Human Dimensions of global & regional environmental change.
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Integrated Assessment Models (IAMs) for Energy, Ecology, Environment and Economy.
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Convergence Science and Geospatial analytics for Environmental Sustainability.
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Nature-based solutions, AI technology driven innovations and system engineering solutions in achieving Sustainable Development Goals (SDGs).
In recent years, her research has been dedicated to exploring affordable yet effective ‘net zero’ technologies and systems, including renewable and clean energy technologies across various spatial and temporal scales. Professor Zhang has been honored as a Clarivate Highly Cited Researcher in Cross-Field for the years 2022 & 2023. Furthermore, since 2020, she has been listed among Stanford’s top 2% most highly cited & life-long impact scientists in the field of Environmental Engineering.
