Alaa Mohammed dawood
Biomedical engineering department
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.
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. â€œPredicting 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, â€œPredicting 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, â€œA 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.
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