Souhaib Taieb

Souhaib Ben Taieb has joined the Department of Computer Science at University of Mons (UMONS) as Associate Professor in January 2019. He is also an Adjunct Senior Research Fellow in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia. He is directing the Big Data and Machine Learning Lab , active in machine learning, time series analysis, probabilistic forecasting, and big data processing. At UMONS, he teaches various courses on machine learning, big data analytics and artificial intelligence.

Souhaib received a B.Sc and a M.Sc in Computer Science from the Free University of Brussels in Belgium. He also received a Ph.D. in Computer Science with a specialization in Machine learning from the same institution. His Ph.D. was funded by a Doctoral research fellowship from the Belgian National Fund for Scientific Research (F.R.S.-FNRS ). He was a postdoctoral research fellow in the Spatio-Temporal and Data Science Group at KAUST in Saudi Arabia. Before joining UMONS, for three years he was a Lecturer in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia. Finally, He was a visiting scholar at several international institutions, including the School of Earth, Energy and Environmental Sciences at Stanford University, and the Said Business School at University of Oxford.

Souhaib has made significant research contributions at the intersection of machine learning and time series analysis. His research work has been published in many A ranked conferences and journals in the field of machine learning and statistics, including ICML, KDD, AAAI, IEEE TNNLS and JASA. His research has been funded by the Huawei Innovation Research Program, the Australian Renewable Energy Agency, the Belgian National Fund for Scientific Research (F.R.S.-FNRS). He has received the Solvay Award for his PhD thesis, and an IEEE Power & Energy Society award. He is an Associate Editor of the International Journal on Forecasting, and was a program committe emember of top conferences in machine learning such as ICML 2020, KDD 2020 and ICLR 2021.

Education

• Doctor of Philosophy (Ph.D.) Université libre de Bruxelles (2009 — 2014)
• M.Sc. Université libre de Bruxelles (2007 — 2009)
• B.Sc. Université libre de Bruxelles (2004 — 2007)
• CESS Athénée Adolphe MAX (1997 — 2003)

Companies

• Assistant Professor in Machine Learning and Big Data Analytics UMONS (2019)
• Adjunct Senior Lecturer in Statistical Machine Learning Monash University (2019)
• Lecturer in Statistical Machine Learning Monash University (2015 — 2018)
• Visiting Assistant Professor Saïd Business School, University of Oxford (2016 — 2016)
• Visiting Assistant Professor Stanford University (2016 — 2016)
• Post-doctoral Research Fellow in Statistics and Machine Learning KAUST (2014 — 2015)
• Doctoral research Fellow in Computer Science (Machine Learning) F.R.S - FNRS (2010 — 2014)
• Visiting researcher IDSIA (2013 — 2013)
• Visiting researcher Monash University (2011 — 2012)