Alaa Mohammed dawood
Biomedical engineering department
Lecturer Ph.D
عنوان البريد الإلكتروني هذا محمي من روبوتات السبام. يجب عليك تفعيل الجافاسكربت لرؤيته.
Alaa Mohammed Al-Kaysi, Lecturer at the University of Technology (2007-present).
- 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
Health Technology, Brain, Signal processing, EEG Analysis, Machine Learning, Deep Learning, Classification and Feature extraction, Control Systems and System identification.
1-WEX-HIL: therapy
induced seizures using fuzzy inference system and decision tree classifiersâ€,
The 40th International Conference of the IEEE Engineering in Medicine and
Biology Society (EMBC), 2018.
2-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 of patients with major depressive disorder using automated
EEG classificationâ€, Journal of Affective Disorders (Elsevier), Volume 208, 15
January 2017, Pages 597-603, Epub 2016 Oct 24.,
3-Alaa M. Al-kaysi, Ahmed Al-Ani , Colleen K. Loo, Michael Breakspear and
Tjeerd W. Boonstra, “Predicting Brain Stimulation Treatment Outcomes of
Depressed Patients through the Classification of EEG Oscillationsâ€, The 38th
International Conference of the IEEE Engineering in Medicine and Biology
Society (EMBC), 2016.,
4-Alaa M. Al-kaysi, Ahmed Al-Ani and Tjeerd W. Boonstra, “A Multichannel
Deep Belief Network for the Classification of EEG Dataâ€, 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.
-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)
2017 Higher Degree by Research Publication Award from University of Technology Sydney (UTS) for publishing high quality, high impact research