- Publications
- GPS localization accuracy classification: A context-based approach
- Strategic Trip Planning: Striking a Balance Between Competition and Cooperation
- A solution to the congestion problem: Profiles driven trip planning
- A Game Theoretic Approach for the Ride-Sourcing Territory Sharing Problem
- Traveler centric trip planning: A behavioral-driven system
- Cellular network fingerprint localization simulation: A soft computing approach
- GPS localization accuracy classification: A context-based approach
- Traveler Centric Trip Planning: A Situation-Aware System
- A solution to the ill-conditioned GPS accuracy classification problem: Context based classifier
- AN EVIDENCE-BASED APPROACH FOR GPS ACCURACY CLASSIFICATION
Haitham Amar is an Adjunct Professor in the Electrical and Computer Engineering department at the University of Waterloo. He is also the Head of Data at ApplyBoard, where he leads teams in developing advanced technologies and applying data science to evidence-based decisions. He is also a Big Data Instructor at McMaster University, where he teaches artificial intelligence and machine learning courses.
His research interests include Data, AI, game theory, and the use of ML in Global position systems. As a result of his extensive research, Professor Amar has authored and co-authored over 50 scientific publications, and is a reviewer for multiple IEEE journals. He is passionate about AI and its applications for social good.
Additionally, Professor Amar is the co-founder of Computers and Information Technology- Libya, where he led a team of computer and network engineers to build data centres across the country. His projects served variety of sectors such as banking, national air lines, and oil and gas
