FACULTY BIOGRAPHIES
Dr. Abdelkader Baggag (PhD)
- Emailabaggag@hbku.edu.qa
- Phone44 547 250
- Office locationHBKU Research Complex, Office 1185
Biography
Dr. Abdelkader Baggag is a Senior Scientist at the Qatar Computing Research Institute. He has a joint appointment as an Associate Professor at Hamad Bin Khalifa University in the Division of Information and Computing Technology, where he teaches “Learning From Data” which is an advanced course on Machine Learning. He completed his PhD in Computer Science from the University of Minnesota. Among the positions Dr. Baggag held prior to joining QCRI is Associate Professor at Laval University in Canada (tenured), and Assistant Professor at McGill University where he established a curriculum in HPC at the consortium on high-performance computing in Quebec, CLUMEQ, funded by the Canadian Foundation for Innovation; and he lead the scientific activities of CLUMEQ by taking on the mission of facilitating the use of parallel computing for the large CLUMEQ constituency. Prior to that, Dr. Baggag was a research fellow at NASA Langley Research Center in Hampton, Virginia, USA.
Research Interests
Dr. Baggag’s current research focuses on developing data-driven machine learning models for finding patterns in complex data and implementing these methods in high-performance solvers, in particular multidimensional data and sequence of states data to support domain experts (e.g., in traffic and mobility using sensors data, and eHealth for analyzing large-scale wearable sensor signals.) His expertise is Machine Learning; Representation Learning; Temporal Causal Modeling; Artificial Intelligence for Health and Mobility Analytics; Missing Data Imputation. The ongoing projects he is working on include Big Data Urban Analytics, eHealth, Bioinformatics and Optimal Transport.
Experience
Senior Scientist
Qatar Computing Research Institute; Hamad Bin Khalifa University; Qatar
2014 - presentAssociate Professor
College of Science and Engineering; Laval University; Canada
2010 - 2014Associate Professor
Mechanical Engineering; Clarkson University; USA
2011 - 2013Associate Professor
Department of Computer Science; Louisiana Tech University; USA
2008 - 2010Assistant Professor
Computer Science; McGill University; Canada
2005 - 2008
Senior HPC Analyst
CLUMEQ Supercomputer Center; McGill University; Canada
2003 - 2008Visiting Scholar
Computer Science; Purdue University; USA
2001 - 2003Assistant Professor
Computer Science; Hampton University; USA
2000 - 2001Research Fellow, ICASE
NASA Langley Research Center; USA
1995 - 2001
Education
PhD
University of Minnesota; Minneapolis, MN, USA
2002Masters
Ecole Polytechnique of Montreal; Montreal, Quebec, Canada
1993
Ingenieur d’etat
Ecole Polytechnique of Algiers; Algiers, Algeria
1990
Selected Publications
-
Baggag, A., Abbar, S., Sharma, A., Zanouda, T., Srivastava, J.
“Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting.” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
2019 -
Baggag, A., Abbar, S., Zanouda, T., Srivastava J.
“Resilience analytics: coverage and robustness in multi-modal transportation networks.” EPJ Data Science Journal (2018) 7:14. https://doi.org/10.1140/epjds/s13688-018-0139-7.
2018 -
Coskun, M., Baggag, A., Chawla, S.
“Deep Reinforcement Learning for Traffic Light Optimization.” IEEE International Conference on Data Mining (ICDM2018).
2018 -
Abdelkader Baggag, Halima Bensmail, Jaideep Srivastava:
Advanced Computation of Sparse Precision Matrices for Big Data. PAKDD (2) 2017: 27-38.
2017 -
Baggag A., Abbar S., Zanouda T., Borge-Holthoefer J., Srivastava J.
“A Multiplex Approach to Urban Mobility.” In: Cherifi H., Gaito S., Quattrociocchi W., Sala A. (eds) Complex Networks & Their Applications V. COMPLEX NETWORKS 2016. Studies in Computational Intelligence, vol 693. Springer, Cham.
2017
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