Faculty & Staff - Department of Mathematics & Computer Science
Dr. Nasreddine Megrez received his Master Degree and PhD Degree in Applied Mathematics from Toulouse University in France, and a Professional Master Degree in Finance from the University of Quebec in Canada. He worked as Postdoctoral Researcher on RF pulse design for the MRI Scanner (Medical Imaging) at the National Research Council of Canada, and on 3D geological modelling at the Geological Survey of Canada. He then moved to the University of Alberta as Assistant Professor of Mathematics. His research interests include, Partial Differential Equations, Mathematical Finance & Economics, Geophysics and reservoir modelling, Medical imaging.
Dr. Ali Elgindi received his PhD in Mathematics from the University of Chicago in 2011. The focus of his thesis was on the properties of real manifolds embedded in complex Euclidean space. In particular, he studied the topological structure of the set complex tangents to embeddings of 3-manifolds into complex 3-space, and also researched regarding the form of the Bishop invariant in this dimension, obtaining a simpler and more applicable formula. His other areas of research include low-dimensional topology, contact structures, and complex differential topology. He is also interested in the theories given by mathematical analysis in finance and the applications of low-dimensional topology to generalized general relativity in physics.
In his spare time, Dr. Ali enjoys cooking, sports such as football and basketball, watching historical movies, and reading. He takes a particular interest in reading meaningful books in philosophy and psychology, and also religion. He also enjoys intellectual debates with friends, seeking knowledge and understanding of the many interesting aspects of the universe and of life.
Boumediene Hamzi obtained his Ph.D. in Applied Mathematics from the University of Paris-Sud (Paris-Orsay,France). Then, he was a Temporary Assistant Professor at the University of Paris-Sud, an INRIA Research Fellow and a Research Assistant Professor at UCDavis (CA), then a member of the Mathematical Sciences Research Institute in Berkeley (CA) and then a Visiting Assistant Professor at Duke University (NC). He then obtained a Marie Curie Fellowship at Imperial College London and then Koc University. Most recently, he was a member of the Fields Institute for Research in Mathematical Sciences in Toronto. His research interests lie at the intersection(s) of:
* Control Theory
* Deterministic Dynamical Systems
* Learning Theory/Machine Learning
* Random Dynamical Systems
More precisely, he is interested in the following problems:
* Machine Learning and Data Assimilation Techniques for Autonomous, Control and Random Dynamical Systems
* Control Theory from a Dynamical Systems Theory point of view (Dynamical Theory of Control)
* Normal Forms and Bifurcations of Control and Random Dynamical Systems
Dr. Lakhdar Remaki received his Master Degree and PhD degree in Applied Mathematics from Claude Bernard University, France. His expertise include computational fluid dynamic (CFD), finite element and finite volume methods, Adomian based methods, Model reduction methods, PDEs, aerodynamic, gas-particle interaction, aeroacoustics, mesh generation and adaptivity, image processing. He worked in many world-class institutions like Ecole Polytechnique of Montreal (CANADA), McGill University (Canada) , Swansea University (UK), BCAM, Spain. His last position was research professor and CFD group leader at BCAM center. He has a strong Industry Exposure, involved and leaded industrial projects in many fields, including turbofans for BALTOGAR company (High performance industrial fans), Spain, Laser cladding for ETXE-TAR, Spain, aerodynamic simulations for Bombardier (Canadian aircrafts manufacturer), tricycle recreational vehicle design for Bombardier Recreational Products (BRP), Canada. One of the most exciting projects Dr. Remaki was involved in is the Bloodhound SSC project consisting of building the fastest supersonic car in the world, by breaking the world land speed record and taking it to 1000m /h.
Siddiq Abdullah received his BS and MS degrees in Computer Science from North Carolina Agricultural and Technical State University in Greensboro, North Carolina in the United States. His research and thesis for his Master Degree was in the area of Artificial Intelligence with an emphasis on Rule-Base Systems involving the Rete Algorithm. He was awarded a research grant for this work from NASA (National Aeronautics and Space Administration). Siddiq has worked for Fortune 500 companies such as IBM as a Systems Management Integrator and AT&T as a Network Support Engineer using his technical background and expertise. His experience in education includes being the director of a technical training center as well as teaching several technical and computer courses, training employees, and being an Academic Coach in the subjects of English and Math. Siddiq was accepted into the Upsilon Phi Epsilon Honor Society in the Computing Sciences.
• A Master's degree with high distinction in Mathematics Ed. in Lebanese American University of Beirut (LAU) (2011)
• B.S. in Mathematics Ed. in Lebanese American University of Beirut (LAU) (2006)
• Minor B.S. in Computer Science in Lebanese American University of Beirut (LAU) (2006)
• Teaching Diploma (Teaching Mathematics for Secondary Classes) in Lebanese American University of Beirut (LAU) (2006)
• Fall 2011-to present: Instructor at Alfaisal University
• 2008-2011: Teacher Adjunct in Lebanese American University of Beirut (LAU)
• 2005-2010: High School Teacher in different high schools under American, British and Lebanese curriculum.)
Thesis research named "Dynamic-Geometry -Software Constructivist Based Approach". The study implements a dynamic geometry software-based constructivist approach (DGS-CA) in teaching Thales' Theorem and studies its impact on students' achievement, problem solving skills and motivation.)
Mathematics Education (Curriculum evaluations, teaching methods, technology in education, teaching for understanding, and visualization in teaching and learning mathematics.)