Scholar
Amirmohammad Farzaneh
Google Scholar ID: N6nCkHMAAAAJ
Research Associate, King's College London
Citations & Impact
Citations
24
H-index
3
i10-index
0
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Research Experience
- Research Associate at the Department of Engineering, King's College London.
Background
- My research lies at the intersection of information theory, statistical inference, and machine learning. I am particularly interested in developing reliable and trustworthy AI systems through tools such as conformal prediction, hypothesis testing, and information-theoretic risk control. My recent work explores applications ranging from hyperparameter optimization and anomaly detection to graph-based learning and wireless systems. I am also broadly interested in complexity analysis and efficient representations of graph-structured data, with applications in network science and GNNs.
Miscellany
- Contact: amirmohammad.farzaneh@kcl.ac.uk; Social media: ResearchGate, LinkedIn, Instagram, Google Scholar.
