Hamam Mokayed
Scholar

Hamam Mokayed

Google Scholar ID: l2wEaVkAAAAJ
Luleå university of technology
Vehicle Intelligent SystemNatural Scene ImagesDocument Classification
Citations & Impact
All-time
Citations
838
 
H-index
16
 
i10-index
25
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including:
  • - A decade of machine learning in lithium-ion battery state estimation: a systematic review (2025)
  • - ANOVA and linear regression feature selection for GRU-based foot position prediction in powered prostheses (2025)
  • - Identifying quantum phase transitions with minimal prior knowledge by unsupervised learning (2025)
  • - License Plate Number Detection in Drone Images (2025)
Research Experience
  • Associate Professor at Luleå tekniska universitet, with a research focus on machine learning. Involved in several EU/National projects like AI4EDU, Universeh, and REEDEAM, focusing on course development, MOOCs, and AI-supported learning environments.
Background
  • With over 15 years of experience at the intersection of vehicle intelligence systems and academia, expertise in computer vision, machine learning, and deep learning, particularly applied to intelligent vehicles and visual systems operating in challenging environments such as snow, ice, and extreme weather. Actively engaged in research on AI and pedagogy, exploring how artificial intelligence can enhance teaching and learning.
Miscellany
  • Has 20+ credits in higher education didactics, a Project Management Professional (PMP) certification, and specialized training in presentation and communication skills.