WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Ismail Al-Hadi
PeerJ Author
270 Points

Contributions by role

Author 270

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Optimization Theory and Computation
Data Science

Ismail Ahmed Al-Qasem Al-Hadi

PeerJ Author

Summary

Ismail Ahmed Al-Qasem Al-Hadi is currently working as a senior lecturer at Universiti Malaysia Terengganu. He received his PhD in Intelligent Computing from the Universiti Putra Malaysia, his Master and Degree in Computer Science from Universiti Teknologi Malaysia and from Al-Mustansiriyah University, respectively. His research focus is on developing recommendation systems and data analysing using machine learning and optimization algorithms.

Artificial Intelligence Data Mining & Machine Learning Optimization Theory & Computation

Work details

Senior Lecturer

Universiti Malaysia Terengganu
Faculty of ocean engineering technology and informatics

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
July 14, 2021
Improving patient rehabilitation performance in exercise games using collaborative filtering approach
Waidah Ismail, Ismail Ahmed Al-Qasem Al-Hadi, Crina Grosan, Rimuljo Hendradi
https://doi.org/10.7717/peerj-cs.599
December 21, 2020
Latent based temporal optimization approach for improving the performance of collaborative filtering
Ismail Ahmed Al-Qasem Al-Hadi, Nurfadhlina Mohd Sharef, Md Nasir Sulaiman, Norwati Mustapha, Mehrbakhsh Nilashi
https://doi.org/10.7717/peerj-cs.331