Dr. Theodoros (Theo) Damoulas is an Exchange Assistant Professor at CUSP and Assistant Professor in Data Science at the University of Warwick. Previously, Theo was a Research Assistant Professor at NYU’s CUSP and the Polytechnic School of Engineering. He is a machine learning researcher with technical interests in probabilistic machine learning, spatiotemporal inference, Bayesian inference, and kernel methods applied to urban informatics, biology, and sustainability. Before joining CUSP, he was a Research Associate at the Department of Computer Science at Cornell University and a member of the Institute for Computational Sustainability. Theo received his Ph.D. in Computing Science from the University of Glasgow, UK, in 2009, his M.Sc in Computer Science (Distinction) from the University of Edinburgh, UK, in 2005 and his M.Eng in Mechanical Engineering (1st Class) from the University of Manchester, UK, in 2003. His research has received best paper awards at IEEE ICMLA and AAAI IAAI, and has been featured on the front covers of Nature Climate Change, Biological Conservation, and AI Magazine. Theo holds a US patent on automatic currency validation, and was awarded the NCR PhD fellowship (2006-2009) and subsequently the Classification Society Distinguished Dissertation award (2012) for his Ph.D thesis.
Damoulas, T., He, J., Bernstein, R., Gomes, C., & Aurora, A. (2014). String kernels for complex time-series: Counting targets from sensed movement. International Conference on Pattern Recognition (ICPR).
Jain, R., Damoulas, T., & Kontokosta, C. (2014). Towards Data-Driven Energy Consumption Forecasting of Multi-Family Residential Buildings: Feature Selection via The Lasso. Computing in Civil and Building Engineering, 1675-1682.
Doraiswamy, H., Ferreira, N., Damoulas, T., Freire, J., and Silva, C. T. (2014). Using topological analysis to support event-guided exploration in urban data. In IEEE Transactions on Visualization and Computer Graphics
Ermon, S., Xue, Y., Toth, R., Dilkina, B., Bernstein, R., Damoulas, T., Clark, P., DeGloria, S., Mude, A., Barrett, C., and Gomes, C. (2015). Learning large-scale dynamic discrete choice models of spatio-temporal preferences with application to migratory pastoralism in east africa. In 29th AAAI Conference on Artificial Intelligence, (AAAI 2015)
A. Chohlas-Wood, A. Merali, W. Reed and T. Damoulas. Mining 911 calls in New York City: Temporal patterns, Detection and Forecasting. In AI for Cities, 29th AAAI Conference on Artificial Intelligence, (AAAI 2015)
Sullivan, B. L., Aycrigg, J. L., Barry, J. H., Bonney, R. E., Bruns, N., Cooper, C. B., Damoulas, T., Dhondt, A. A., Dietterich, T., Farnsworth, A., et al. (2014). The eBird enterprise: An integrated approach to development and application of citizen science. Biological Conservation, 169:31–40. Editor’s Choice (January 2014)