Faghmous, J.H., H. Nguyen, M. Le, and V. Kumar. Spatio-temporal Consistency for Autonomous Dynamic Object Identification in Continuous Spatio-Temporal Fields. Twenty-Eighth Conference on Artificial Intelligence (AAAI) 2014.
Faghmous, J.H., M. Le, M. Uluyol, and V. Kumar. Parameter-Free Spatio-Temporal Data Mining to Catalogue Global Ocean Dynamics. Thirteenth IEEE International Conference on Data Mining (ICDM) 2013.
Faghmous, J.H., M. Uluyol, M. Le, L. Styles, V. Mithal, S. Boriah, and V. Kumar. Multiple Hypothesis Object Tracking for Unsupervised Self-Learning: An Ocean Eddy Tracking Application. Twenty-Seventh Conference on Artificial Intelligence (AAAI) 2013.
Faghmous, J.H., L. Styles, F. Vikebø, S. Boriah, S. Liess, M. d.S. Mesquita, and V. Kumar. EddyScan: A Physically Consistent Eddy Monitoring Application. Conference on Intelligent Data Understanding (CIDU) 2012. Best Student Paper Award
Faghmous, J.H., Y. Chamber, F. Vikebø, S. Boriah, S. Liess, M. d.S. Mesquita, and V. Kumar. A Novel Spatio- Temporal Method for Ocean Eddy Monitoring. Twenty-Sixth Conference on Artificial Intelligence (AAAI) 2012.
Faghmous, J.H. and Kumar, V. Advances in Spatio-temporal data mining to monitor dynamic relationships and patterns. IEEE Transactions on Knowledge and Data Engineering, 2014 (invited, in press)
Faghmous, J.H. and Kumar, V. Big Data challenges to mining climate and ecosystems data. Big Data, 2014 (invited, in press)
Ganguly, A.R., Kodra, E. A., Banerjee, A., Boriah, S., Chatterjee S., Chatterjee, S., Choudhary, A., Das, D., Faghmous, J.H., et al. Toward enhanced understanding and prediction of climate extremes using physics-guided data mining techniques. Nonlinear Processes in Geophysics 2014.
Faghmous, J.H., M. Le, S. Liess, V. Kumar, and K. Emanuel. ENSO’s Spatial Warming Patterns and their Impact on North Atlantic Tropical Cyclone Activity. In preparation.
Faghmous, J.H. and Kumar, V. Spatio-Temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities. In W. Chu, Ed., Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenges, and Opportunities. Springer, 2013.
Karpante A., Faghmous J.H., Kawale J., et al. Earth Science Applications of Sensor Data. In C. Aggarwal, Ed., Managing and Mining Sensor Data. Springer, 2012.