International Epilepsy Journal

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International Epilepsy Journal-Biomedical Signal processing

 Artificial Intelligence

 Machine Learning

 Epileptic seizure detection and prediction using EEG signals

 Brain-Computer Interface

 Big data technologies

 Pattern recognition

Australia

Research Fellow, Centre for Applied Informatics, College of  Engineering and Science, Victoria University, Melbourne, Australia.

+61431836913 , +613 99199511 , +613 83948537

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Siuly Siuly

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Research Fellow, Centre for Applied Informatics, College of  Engineering and Science, Victoria University, Melbourne, Australia.

Research Interests:

• Biomedical Signal processing 
• Artificial Intelligence 
• Machine Learning 
• Epileptic seizure detection and prediction using EEG signals 
• Brain-Computer Interface 
• Big data technologies 
• Pattern recognition 
• Data Mining.

Biography:

  • Recipient of the USQ Publication Excellence Awards (C1 Category, SchoolSpecific), Faculty of Health, Engineering and Sciences, in 2015. Paper’s title: “A novel statistical framework for multiclass EEG signal classification”
  • Recipient of the USQ postgraduate research scholarship, 2009, for pursuing Ph.D. studies at the University of Southern  Queensland, Australia
  • Travel grant from the University of Southern Queensland for attending the Fourth International Conference on Rough Sets and  Knowledge Technology (RSKT 2009), Gold Coast, Australia.
  • Travel grant from the University of Southern Queensland for attending the 2010 IEEE/ICME International Conference on Complex Medical Engineering (CME2010). Gold Coast, Australia.
  • Recipient of the Quazi Mothahar Hossain Trust Fund Award, 1997, for securing First Class in the Master of Science final examination, Department of Statistics, University of Dhaka.
  • Recipient of the Quazi Mothahar Hossain Trust Fund Award, 1996, for securing First Class in the Bachelor of Science final examination, Department of Statistics, University of Dhaka.
  • Recipient of the University Merit Scholarship 1994-1996 for academic excellence and best conduct.