Guang Yang, IEEE Senior Member
Scholar

Guang Yang, IEEE Senior Member

Google Scholar ID: ZfzEFpsAAAAJ
Associate Professor & UKRI Future Leaders Fellow, Bioengineering/Imperial-X, Imperial College London
Medical ImagingMedical Big DataClinical TranslationMedical PhysicsAI in Digital Healthcare
Citations & Impact
All-time
Citations
17,319
 
H-index
56
 
i10-index
191
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Background
  • Principal Investigator of AYL (A Yang Lab) at Imperial College London, White City Campus
  • Focuses on AI-driven techniques for medical imaging, biomedicine, and biomedical data analysis
  • Emphasizes translational research in AI-based data quality transfer, data harmonization, fast imaging, federated learning, and generative AI
  • Applies AI innovations to pre-clinical and clinical challenges in ageing, cardiovascular disease, lung disease, and oncology
  • Key application areas: Smart Imaging, Big Data Analysis, AI in Drug Discovery, and Clinical Decision-Making
Miscellany
  • Prioritizes professional growth, personal development, inclusivity, and respect in the lab
  • Promotes mental health and work-life balance with flexible hours and well-being support
  • Encourages open communication, constructive feedback, and mutual mentorship
  • Supports independent, self-motivated research while offering guidance on publications, conferences, and career goals
  • Cultivates a lab culture of kindness, integrity, transparency, collaboration, and shared celebration
  • Values personal privacy and does not disclose specific details of ongoing work
  • Encourages PhD students to complete their degrees within 3.5–4 years and move on to new opportunities