Ali Haidar

Ali Haidar is a dedicated post-doctoral research fellow at the South Western Sydney Clinical School, UNSW, and the Ingham Institute for Applied Medical Research. His current focus is on the Australian Computer-Assisted Theragnostics (AusCAT) network, a collaborative effort within Australian radiation oncology departments where he conducts research activities such as data mining, outcome modeling, and developing decision support tools.

With a background in machine learning, computational intelligence, and optimization algorithms, Ali is deeply invested in advancing these fields through practical applications. His expertise lies in utilizing programming languages like Python and Java to drive his research forward.

Apart from his academic endeavors, Ali Haidar serves as a research and development consultant at Plate Marketing Pty Ltd. Here, he has contributed to the development of MyPlateMaker, an innovative algorithm designed to suggest personalized number plates based on individual customer details.

Ali's educational journey includes a Doctor of Philosophy (PhD) in Machine Learning and Artificial Intelligence from CQUniversity, along with a Master of Information Technology Management degree from the University of Sydney, where he specialized in research.

His significant roles at prestigious organizations such as UNSW and Plate Marketing underscore his commitment to pushing the boundaries of technology and leveraging his expertise in diverse areas of research and development.