People

Ben Taieb, Souhaib

Postdoctoral Fellows
Ph.D., 2014, Université Libre de Bruxelles​​ (ULB)​​​​​​, Belgium​​​​​

Now Assistant Professor at Monash University

Introduction

Starting July 2015 I will be Lecturer (equivalent to Assistant Professor in the United States) at Monash University, in Australia

Research Interests

Machine learning, statistical modeling and inference for time series, probabilistic time series forecasting, massive data analysis (big data), smart grid analytics​

Selected Publications

​* Ben Taieb, S., & Hyndman, R. (2014). Boosting multi-step autoregressive forecasts. In Proceedings of The 31st International Conference on Machine Learning (pp. 109-117).
Ben Taieb, S., & Hyndman, R. J. (2014). A gradient boosting approach to the Kaggle load forecasting competition. International Journal of Forecasting30(2), 382-394.
Ben Taieb, S., Bontempi, G., Atiya, A. F., & Sorjamaa, A. (2012). A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert systems with applications39(8), 7067-7083.​
Ben Taieb, S., Sorjamaa, A., & Bontempi, G. (2010). Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing73(10), 1950-1957.

Education

2014: Ph.D. in Sciences, Université Libre de Bruxelles (ULB)​, Belgium​
2009: M.Sc. in Computer Science, Université Libre de Bruxelles (ULB)​, Belgium
2007: B.Sc. in Computer Science, Université Libre de Bruxelles (ULB), Belgium

Awards

2015: Solvay Awards 2014 (PhD thesis), International Solvay Institutes, Belgium
2013: IEEE Power & Energy Society Award  for ranking #4, Global Energy Forecasting Competition 2012, Vancouver, Canada
2012: Student Travel Award, International Symposium on Forecasting (ISF) 2011, Boston, USA
2011: Student Travel Award, International Conference on Data Mining (ICDM) 2011, Vancouver, Canada
2011: Student Travel Award, Machine Learning Summer School (MLSS) 2011, Indianapolis, USA
2010: Research grant for PhD research (4 years), Belgian National Science Foundation (FRS-FNRS), Belgium
2010: Solvay Awards 2009 (Master thesis), International Solvay Institutes, Belgium
2009: AScBr Prize for best master thesis, Association of ULB alumni in Science​, Belgium
2009: Student Travel Award, International Joint Conference on Neural Networks (IJCNN) 2009, Atlanta, USA 

KAUST Affiliations

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)​