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HKUST-KTH Global Knowledge Network Awards
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HKUST and KTH Royal Institute of Technology (KTH) have identified each other as strategic partners to foster deep collaboration in research and education. The HKUST-KTH Global Knowledge Network Awards have been established to facilitate and support joint initiatives that will strengthen the two universities’ strategic priorities as well as develop multi-disciplinary cutting-edge research to create academic and societal impact. We invite proposals from researchers in all disciplines at HKUST and KTH
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Call for Applications
Stay tuned for details!
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Awarded Projects
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2025
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- Bridging Digital Finance and Urban Systems: Toward Joint Research on Tokenized Infrastructure and Sustainable Urban Development
HKUST PI: Pengyu ZHU, Division of Public Policy
KTH PI: Bertram Ingolf STEININGER, Division of Real Estate Economics and Finance - Radiomic MRI biomarkers for muscle quality assessment: advanced AI-powered approach for non-invasive clinical diagnosis
HKUST PI: Albert Chi Shing CHUNG, Department of Computer Science and Engineering
KTH PI: Ruoli WANG, Department of Engineering Mechanics - Spatiotemporal Profiling of Personal Particulate Matter Exposure in Global Cities: A Dual-City Case Study in Hong Kong and Stockholm
HKUST PI: Zhi NING, Division of Environment and Sustainability
KTH PI: Minghui TU, Unit of Systems and Component Design - Transparent Market Pricing in Hydro-Dominated Systems: Integrating Convex Hull Methods with Stochastic Scheduling
HKUST PI: Bo YANG, Department of Industrial Engineering and Decision Analytics
KTH PI: Mohammad Reza HESAMZADEH, Division of Electric Power and Energy Systems
2024
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- Generative Artificial Intelligence for Medical Imaging
HKUST PI: Hao CHEN, Department of Computer Science and Engineering, Department of Chemical and Biological Engineering and Division of Life Science
KTH PI: Rodrigo MORENO, Division of Biomedical Imaging - Understanding the Fracture Mode Competition in Additive Manufactured Martensitic Steel
HKUST PI: Tianlong ZHANG, Department of Mechanical and Aerospace Engineering
KTH PI: Levente VITOS, Unit of Properties - Accelerated Discovery of Single-Atom Catalysts for CO2 Reduction via Machine Learning
HKUST PI: Hanyu GAO, Department of Chemical and Biological Engineering
KTH PI: Mårten AHLQUIST, Department of Theoretical Chemistry and Biology - Unraveling the Relationship between Defects and Interfacial Thermal Transport in GaSb Epitaxial Layers
HKUST PI: Qiye ZHENG, Department of Mechanical and Aerospace Engineering
KTH PI: Yanting SUN, Department of Applied Physics - Low Energy, Always-on, Event-based Computer Vision with Neuromorphic Processing
HKUST PI: Bertram SHI, Department of Electronic and Computer Engineering
KTH PI: Jörg CONRADT, Division of Computational Science and Technology - Denoising Stochastic Solvers for Kinetic Equations through Filters
HKUST PI: Zhichao PENG, Department of Mathematics
KTH PI: Jennifer RYAN, Division Head for Numerical Analysis, Optimization and Systems Theory - Detecting Wildfire Emissions of Greenhouse Gases and Air Pollutants Using Multi-Sensor Earth Observation and Machine Learning: Addressing the Triple Challenges of Climate Change, Air Pollution and Public Health
HKUST PI: Xueying LIU, Division of Environment and Sustainability
KTH PI: Yifang BAN, Division of Geoinformatics