Fady Rezk
Scholar

Fady Rezk

Google Scholar ID: WPdQj24AAAAJ
University of Edinburgh
Artificial IntelligenceOptimizationDeep Learning
Citations & Impact
All-time
Citations
5
 
H-index
2
 
i10-index
0
 
Publications
7
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • One paper accepted to NeurIPS (2023) ICBINB workshop in October 2023.
Research Experience
  • Second-year PhD student working with Prof. Timothy Hospedales and Dr. Henry Gouk, focusing on scaling down AI.
Education
  • PhD student in AI at the University of Edinburgh, supervised by Prof. Timothy Hospedales and Dr. Henry Gouk.
Background
  • Research interests include deep learning theory, optimization theory, and meta-learning. Dedicated to developing novel training algorithms and neural architectures that are more data, energy, and parameter efficient. Interested in hyperparameter-free training algorithms, biologically-plausible learning, backpropagation-free algorithms, and neuroevolution. Also applies research in diverse areas such as multi-modal learning, AutoML, on-device AI, federated learning, domain adaptation, and neurocomputing.
Miscellany
  • Romanticism, transcendentalism, postcolonial feminism, AI research, and coffee.
Co-authors
0 total
Co-authors: 0 (list not available)