Adel Ali Al-Jumaily
University of Technology Sydney
Dr Adel Al-Jumaily is Associate Professor in the University of Technology Sydney. He is holding a Ph.D. in Electrical Engineering (AI); He is working in the cross-disciplinary applied research area and established a strong track record. He established and led many research groups and delivered many projects, in addition to his contributions in building and extending many laboratories in this area. His research area covers the fields of Computational Intelligence, Bio-Mechatronics Systems, Health Technology and Biomedical, Vision based cancer diagnosing, and Artificial Intelligent Systems. Adel developed a new approach for Electromyogram (EMG) control of prosthetic devices for rehabilitation and contributed to Electroencephalogram (EEG) techniques and signal/image processing, and computer vision. He has successfully developed many modified nature based algorithms to solve the bio-signal/ image pattern recognition problems, such us using swarm based fuzzy discriminate analysis and differential evolution based feature subset selection. He is one of the pioneer researchers in developing many algorithms which proved its advantages in comparison with other algorithms. Many Ph.D. students graduated under his supervision. His research has been recognized through more than 160 peer review publications and the invitations to serve as board editor member for a number of journals and as chair or technical committee member for more than 60 international conferences, He is now Associate Editors-in-Chief of two Journals. Some of his current projects are: Design and Development of a Post Stroke Bilateral Therapeutic Hand Device, Myoelectric control for exoskeleton hand and prosthetic devices, Lower Limb and Foot Rehabilitation, Augmented Reality Rehabilitation Exercises and Biofeedback, Image processing based cancer diagnosing. He has a breadth of expertise covers a wide area of research and teaching for more 25 years. He is a senior member of IEEE and many other professional committees.
Computational Intelligence, Bio-Mechatronics Systems, Health Technology and Biomedical, Vision based cancer diagnosing, and Artificial Intelligent Systems