Dr.Alaa Mohammed dawood
Alaa Mohammed Al-Kaysi
Title
Professor
Education
– Ph.D. in Medical Systems, Department of Biomedical Engineering, University of Technology Sydney, UTS, 2018.
– MS.C. in Control Engineering, Department of Control and Systems Engineering, 2007
– BSc. in Computer Engineering, Department of Control and Systems Engineering, 2004
Research Interests
- Health Technology Brain.
- Signal processing.
- EEG Analysis.
- Machine Learning.
- Deep Learning.
- Classification and Feature extraction
- Control Systems and System identification.
Teaching
- Data Communication
- Lecturer at the University of Technology / (2007-present)
- Digital Signal Processing, Bio-signal, Bio-statistics and Neuroscience (Theory_Bachelor Students)
- Bio-signal Lab 3rd year (Bachelor Students)
- Computer Control Lab, 4th year (Bachelor Students)
- Control III Laboratory, 3rd year (Bachelor Students)
- Artificial Intelligent systems (Interfacing Laboratory), 4th year (Bachelor Students)
- Robotic Laboratory (Master Students)
- Artificial Intelligent systems (Laboratory) (Master Students)
Most recent publications
- Alaa M. Al-Kaysi, Ahmed Al-Ani, Colleen K. Loo, Tamara Y. Powell, Donel M. Martin, Michael Breakspear, and Tjeerd W. Boonstra. “Therapy-Induced Seizures Using Fuzzy Inference System and Decision Tree Classifiers,” presented at the 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018.
- Alaa M. Al-Kaysi, Ahmed Al-Ani, Colleen K. Loo, Tamara Y. Powell, Donel M. Martin, Michael Breakspear, and Tjeerd W. Boonstra. “Predicting tDCS Treatment Outcomes for Patients with Major Depressive Disorder Using Automated EEG Classification,” published in the *Journal of Affective Disorders* (Elsevier), Volume 208, January 15, 2017, Pages 597-603. Epub October 24, 2016.
- Alaa M. Al-Kaysi, Ahmed Al-Ani, Colleen K. Loo, Michael Breakspear, and Tjeerd W. Boonstra. “Predicting Brain Stimulation Treatment Outcomes for Depressed Patients through the Classification of EEG Oscillations,” presented at the 38th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.
- Alaa M. Al-Kaysi, Ahmed Al-Ani, and Tjeerd W. Boonstra. “A Multichannel Deep Belief Network for the Classification of EEG Data,” presented at the 22nd International Conference on Neural Information Processing (ICONIP), 2015.
- Amjad J. Humaidi, Firas A. Raheem, and Alaa M. Dawood. *Digital Control Systems*, Lecture Notes, Novocherkassk, NOK Publishing House, 226 pages. ISBN: 978-5-8431-0238-8, 2012.
, The 22nd. International Conference on Neural Information Processing (ICONIP), 2015., Amjad J. Humaidi., Firas A. Raheem and Alaa M. Dawood, Digital Control Systems, Lecture Notesâ€, Book, Novocherkassk, NOK Publishing House -226 p. ISBN 978-5-8431-0238-8, 2012
- 2017 Higher Degree by Research Publication Award from the University of Technology Sydney (UTS) for publishing high-quality, high-impact research