Arshad has been a PhD student in the group since 2015.
More information is available here.
DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data
Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data
Machine learning for energy-water nexus: challenges and opportunities
A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework
Beyond Compartment models: Using Big-Data to enhance models for controller development for the Artificial Pancreas