KTH ROYAL INSTITUTE OF TECHNOLOGY

Generative Artificial Intelligence for Medical Imaging

• • HKUST PI: Prof. Hao CHEN, Department of Computer Science and Engineering, Department of Chemical and Biological Engineering and Division of Life Science
  • KTH PI: Prof. Rodrigo MORENO, Division of Biomedical Imaging

Understanding the Fracture Mode Competition in Additive Manufactured Martensitic Steel

• • HKUST PI: Prof. Tianlong ZHANG, Department of Mechanical and Aerospace Engineering
  • KTH PI: Prof. Levente VITOS, Unit of Properties

Accelerated Discovery of Single-Atom Catalysts for CO2 Reduction via Machine Learning

• • HKUST PI: Prof. Hanyu GAO, Department of Chemical and Biological Engineering
  • KTH PI: Prof. Mårten AHLQUIST, Department of Theoretical Chemistry and Biology

Unraveling the Relationship between Defects and Interfacial Thermal Transport in GaSb Epitaxial Layers

• • HKUST PI: Prof. Qiye ZHENG, Department of Mechanical and Aerospace Engineering
  • KTH PI: Dr. Yanting SUN, Department of Applied Physics

Low Energy, Always-on, Event-based Computer Vision with Neuromorphic Processing

• • HKUST PI: Prof. Bertram SHI, Department of Electronic and Computer Engineering
  • KTH PI: Prof. Jörg CONRADT, Division of Computational Science and Technology

Denoising Stochastic Solvers for Kinetic Equations through Filters

• • HKUST PI: Prof. Zhichao PENG, Department of Mathematics
  • KTH PI: Prof. 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: Prof. Xueying LIU, Division of Environment and Sustainability
  • KTH PI: Prof. Yifang BAN, Division Geoinformatics