


Professor Adel Al-Jumaily
Faculty: School of IT & Engineering
Position: Associate Head of School IT & Engineering, Sydney and Professor in Data Analytics
Contact: aal-jumaily@mit.edu.au
Campus: Sydney
Google Scholar/LinkedIn: Professor Adel Al-Jumaily
Bio
Adel Al-Jumaily is a Computational Intelligence and health technology professor, He holds the position of Associate Head of the School IT & Engineering, Sydney, and a Professor in Data Analytics, a Professor Research Fellow at ENSTA Bretagne, France, and adjunct positions at the University of Western Australia and Fahad Bin Sultan University.
His PhD in Electrical Engineering (AI). He has more than 20 years of solid experience in the cross-disciplinary applied research area and established his international track record. He has authored over 250 peer review papers, he is a leader and researcher in Computational Intelligence, Humanized Computational Intelligence technology, Health Technology, Machine Learning, and Bio- Mechatronics Systems. Adel is an IEEE Senior Member.
Qualifications
Ph.D. in Engineering (Artificial Intelligent Systems).
Thesis: "Fuzzy Logic-Based Reactive Navigation",
M.Sc. in Engineering Management (Computer-Aided Manufacturing).
Thesis: "PC-Based Design and Implementation of Material Requirement Planning System"
B.Sc. (Eng.) Degree in Electrical Engineering.
Teaching
MDA522 Artificial Intelligence
Experience & Research
Experiences
- Professor, Faculty of Engineering, University of Technology Brunei, Sep 2022 – April 2024.
- Adjunct Professor, Department of Computer Science & Software Engineering, University of Western Australia, May 2023 – Present.
- Professor Research Fellow, ENSTA Bretagne, Post-Graduate and Research State Institute, Brest, France, July 2021 - Present
- Adjunct Professor, College of Computing, Fahad Bin Sultan University, Tabuk, Kingdom of Saudi Arabia, Dec 2020 - Present
- Associate Professor, Faculty of Engineering and IT, University Technology Sydney, Jan 2011 - Dec 2020
Research Interests
- Computational Intelligence
- Humanized Computational Intelligence technology
- Health Technology
- Machine Learning and Bio- Mechatronics Systems