Research Areas
- Machine Learning and Large-scale Data Analysis
- Artificial Intelligence (AI)
- Information Retrieval
- Social Media
- Conversational Recommender Systems
- Sequential Decision Optimization
- Operations Research
- Smart Cities Applications
Current and Past Research Projects
- Machine Learning and Optimization for Intelligent Adaptive User Interfaces (Partner: Uncharted, Inc.)
- Deep Learning for Anomaly Detection in Computer and Power Networks (Partners: Rank, Inc., Quebec Hydro)
- Learning and Prediction for Smart Residential HVAC Systems (Partner: Ecobee, Inc.)
- Machine Learning for Predictive Health Analytics (Partner: Sunnybrook Research Institute)
- Recommender Systems (Partners: Kobo, Inc., Shopify, Inc.)
- Dialog-based and Interactive Conversational Recommender Systems (Partners: iNAGO, Inc., see research overview video)
- Continual Learning for Computer Vision Applications (Partner: LG Sciencepark)
- Machine Learning for Social Media Analysis (Partner: U. of Toronto School of Cities)
- Novel Tools for Data Science and Geospatial-temporal Prediction with Unlinked Data
- Optimization and Inference in Deep-learned Models
- Traffic Prediction and Traffic Signal Control
- Extending RDDL for Smart Cities Applications
Please see Scott Sanner’s former web page at the Australian National University for additional information and links regarding some of the above research.