Shah Muhammad Hamdi

Emphasis

Dr. Hamdi's research centers around machine learning, data mining, and deep learning, more specifically, finding interesting patterns from real-life graphs and time-series data. His research on graph representation learning, discriminative subgraph mining, multivariate time series classification, and spatiotemporal frequent pattern mining have found multiple applications in the fields of solar physics (e.g., solar flare prediction), neuroscience (e.g., neuromarker identification from fMRI-based functional brain networks), and social networks (e.g., interpretable node embedding).