Alaa Khamis

Dr. Alaa Khamis works as AI & Smart Mobility Technical Leader at General Motors Canada. He is also a Lecturer at the University of Toronto, an Adjunct Professor at Ontario Tech University and Nile University, and an Affiliate Member of the Center of Pattern Analysis and Machine Intelligence (CPAMI) at the University of Waterloo. He worked as an Autonomous Vehicles Professor at Zewail City of Science and Technology, Head of AI at Sypron Solutions, Associate Professor and Head of Engineering Science Department at Suez University, Associate Professor and Director of Robotics and Autonomous Systems (RAS) research group at German University in Cairo (GUC), Research Assistant Professor at the University of Waterloo, Canada, Visiting Professor at Universidad Carlos III de Madrid, Spain, and Université de Sherbrooke, Canada, Visiting Researcher at the University of Reading, UK, and Distinguished Scholar at the University of Applied Sciences Ravensburg-Weingarten, Germany. His research interests include smart mobility, autonomous and connected vehicles, cognitive IoT, algorithmic robotics, intelligent data processing and analysis, machine learning, and combinatorial optimization. He has published five books and more than 200 scientific papers in refereed journals and international conferences. He has also filed 64 US patents, defensive publications, and trade secrets. For more information, please visit www.alaakhamis.org.

books by Alaa Khamis

Optimization Algorithms

  • August 2024
  • ISBN 9781633438835
  • 536 pages
  • printed in black & white

Optimization Algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges.