|Insead, Fontainebleau, Île-de-France, France|
Area:data mining, business intelligence, online market research
Theodoros (Theos) Evgeniou is an Associate Professor of Decision Sciences and Technology Management at INSEAD. Having won medals in international mathematical olympiads (in places like China, Sweden, Romania, etc), he received two BSc degrees, one in Computer Science and one in Mathematics, simultaneously from MIT, from where he also graduated first in the MIT class of 1995 dual degrees in Mathematics. He then received a Master and a PhD degree in Computer Science, also from MIT.
Before joining INSEAD, he has held positions in companies in Japan and in the US and has been involved in a Boston based high-tech start up. At INSEAD, Theos has been teaching courses on IT strategies, data mining, and Information Systems Management. His current research interests are in the areas of data mining and business intelligence as well as online market research.
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|Toubia O, Evgeniou T, Johnson E, et al. (2013) Dynamic experiments for estimating preferences: An adaptive method of eliciting time and risk parameters Management Science. 59: 613-640|
|Evgeniou T, Fang L, Hogarth RM, et al. (2013) Competitive Dynamics in Forecasting: The Interaction of Skill and Uncertainty Journal of Behavioral Decision Making. 26: 375-384|
|Zhang K, Evgeniou T, Padmanabhan V, et al. (2012) Content contributor management and network effects in a UGC environment Marketing Science. 31: 433-447|
|Hauser JR, Toubia O, Evgeniou T, et al. (2010) Disjunctions of conjunctions, cognitive simplicity, and consideration sets Journal of Marketing Research. 47: 485-496|
|Richard E, Baskiotis N, Evgeniou T, et al. (2010) Link discovery using graph feature tracking Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010|
|Pramatari K, Evgeniou TT, Doukidis G. (2009) Implementation of collaborative e-supply-chain initiatives: An initial challenging and final success case from grocery retailing Journal of Information Technology. 24: 269-281|
|Abernethy J, Bach F, Evgeniou T, et al. (2009) A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization Journal of Machine Learning Research. 10: 803-826|
|Evgeniou T, Figueiras-Vidal AR, Theodoridis S. (2008) Emerging machine learning techniques in signal processing Eurasip Journal On Advances in Signal Processing. 2008|
|Abernethy J, Evgeniou T, Toubia O, et al. (2008) Eliciting consumer preferences using robust adaptive choice questionnaires Ieee Transactions On Knowledge and Data Engineering. 20: 145-155|
|Netzer O, Toubia O, Bradlow ET, et al. (2008) Beyond conjoint analysis: Advances in preference measurement Marketing Letters. 19: 337-354|