Khalil Al Handawi

PhD, SOL, McGill University | DIRO, Université de Montréal

Montréal, Québec, Canada

I am a researcher working on solving engineering and mathematics problems using numerical methods. The underlying theme of my research is numerical optimization. I believe that optimization can be used to solve a wide range of decision making problems encountered in design, manufacturing, and operations.

I love teaching and helping others solve everyday decision-making problems using optimization. I also teach optimization principles to engineering students so that they can apply them in their designs, research, and work.

In my research, I have used optimization to solve practical engineering problems, where the functions of interest are given by expensive numerical simulation. I also used the same principles to solve similar problems in other fields such as epidemiology, statistical modeling, and transportation.


Systems optimization

Numerical simulation

Machine learning

Uncertainty quantification
Jan, 2017 - Dec, 2020 PhD, Mechanical Engineering
McGill University
Aug, 2013 - Dec, 2015 MSc, Mechanical Engineering
Khalifa University
Aug, 2009 - May, 2013 BSc, Mechanical Engineering
Khalifa University

selected publications

    Optimization of Infectious Disease Prevention and Control Policies Using Artificial Life
    Al Handawi, Khalil, and Kokkolaras, Michael
    IEEE Transactions on Emerging Topics in Computational Intelligence 2021