大象视频

PhD, Information Science, University at Albany, State University of New York
Master in Business Administration, Universidad de Deusto (Spain) / Universidad del Salvador (Argentina)
Ingeniero Electromec谩nico Orientaci贸n Electricista (6-year degree in Electrical Engineering), Universidad de Buenos Aires, Argentina

Data science, business intelligence, predictive analytics, and statistical machine learning, focusing on the application of these disciplines in a variety of domains, including information technology implementation, network and computer security, medical informatics, marketing, and learning analytics.

Laur铆a E., Presutti E., Kapogiannis M., Kamath A., Stacking Classifiers for Early Detection of Students at Risk. Proceedings of the 10th International Conference on Computers Supported Education (CSEDU 2018) Madeira, Portugal 15-17 March 2018, (1) : 390-397

Jayaprakash S., Moody E., Laur铆a E., Regan J., Baron J., "Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative", Journal of Learning Analytics,  1(1), 2014, 6-47 

Duchessi P., Laur铆a E., 鈥淒ecision tree models for profiling ski resorts鈥� promotional and advertising strategies and the impact on sales鈥�, Expert Systems with Applications, 40(15), 1 November 2013, 5822-5829

Laur铆a E., March E. 鈥淐ombining Bayesian Text Classification and Shrinkage to Automate Healthcare Coding: A Data Quality Analysis鈥�, ACM Journal of Data and Information Quality 2(3), Article 13, December 2011

Laur铆a E., Duchessi P., "A methodology for developing Bayesian networks: An application to information technology (IT) implementation", European Journal of Operational Research, 179(1), 16 May 2007, 234-252

Laur铆a, E., Duchessi, P. "A Bayesian Belief Network for IT implementation decision support, Decision Support Systems, 42(3), December 2006, 1573-1588

Laur铆a, E., (2005), "Learning the Structure of a Bayesian Network: An Application of Information Geometry and the Minimum Description Length Principle", in Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Proceedings of the 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering , San Jos茅 State University, USA,   Kevin H. Knuth, Ali E. Abbas, Robin D. Morris, J. Patrick Castle (Ed.), 293-301  

• CESSI (Chamber of Information Technology Companies in Argentina):  Sadosky Prize Winner for Best Research Work on Information Technology, 2007 (see ) (for a video feed of the award ceremony, )
• Recipient of Faculty Recognition Award for Distinguished Scholarship, 2007-2008
• Profiled by IBM Academic Initiative in 2012 for his use of cloud computing in education
• Computerworld: The Open Academic Analytics Initiative (OAAI) at Marist College of which Dr. Lauria is one of the principal researchers, was named a 2013 Computerworld Honors Laureate in the Emerging technology category
• Marist College: 2015 Board of Trustees Distinguished Teaching Award.