Ali Hamdi received his PhD from RMIT University, Australia, in 2022, where his research focused on computer vision, graph neural networks, and uncertainty modelling. He obtained his Master's in Computing from the University of Technology, Malaysia, in 2017, with a focus on NLP and text mining. With over 15 years of experience as a data scientist and researcher, Ali has a robust background in teaching and developing software across various domains, including programming, cloud computing, AI, machine learning, deep learning, and data science. He has authored more than 20 research papers on visual recognition, language understanding and generation models, drone-based object tracking and route optimisation, few-shot learning, and spatiotemporal data mining, making significant contributions to computer vision, NLP and deep learning.
Degree : PhD
Department : Computer Science
Start Date : 2018-07-28
End Date : 2022-04-29
Institute : RMIT University
Address : Melbourne, Australia
Thesis : Efficient and flexible visual representation learning
Degree : Master
Department : Computer Science
Start Date : 2015-12-05
End Date : 2017-10-18
Institute : UTM University
Address : Johour Bahru, Malaysia
Thesis : HYBRID MODEL FOR SENTIMENT ANALYSIS OF MULTI-FACETED ARABIC REVIEWS
Computer Vision
NLP
Deep Learning