Data Science & Engineering @ WNCG
The WNCG initiative in Data Science and Engineering involves research in large-scale data mining and machine learning, with applications to solving complex engineering problems. Topics include modeling and analysis of complex networks, both social and physical, design of large-scale recommender systems, analysis of heterogeneous and complex EHR and other health data, learning from distributed sensor data acquired from intelligent transportation systems, etc. Seminal advances have been made in the theoretical (sample complexity, statistical bounds, etc), algorithmic, statistical and implementational aspects associated with such problems. We have also deployed several data-driven solutions that interface with real cyber-physical systems.