Mastaneh Mokayef

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Affiliation

Department Electrical & Electronic Engineering, UCSI University, Kuala Lumpur, Malaysia

Topic

Graphical User Interface,Bluetooth Low Energy,Sustainable Development Goals 3,Wireless,Accelerometer Sensor,Accurate Heart Rate,Accurate Heart Rate Monitoring,Accurate Monitoring,Adaptive Threshold,Analog Signal,Analog-to-digital Converter,Android Application,Application Of Deep Learning,Artificial Neural Network,Base Station,Brushless DC,Brushless DC Motor,Cardiac Arrest,Cardiopulmonary Resuscitation,Changes In Blood Volume,Cloud Computing,Communication Systems,Compassion,Compression Depth,Compression Rate,Convolutional Long Short-term Memory,Convolutional Neural Network,Convolutional Neural Network Classifier,Convolutional Neural Network Model,Coronary Artery Disease,Coronavirus,Data Transmission,Deep Belief Network,Deep Convolutional Neural Network,Deep Learning,Deep Learning Models,Deep Neural Network,Detailed Fabrication Process,Digital Filter,Electrocardiogram,Electromagnetic Environment,Electronic Control,Emergency Cases,European Resuscitation Council,Extreme Learning Machine,Fast Monitoring,Feed-forward Artificial Neural Network,Flat Surface,Force Exertion,Force Sensitive Resistors,

Biography

Mastaneh Mokayef received the master’s degree from the Faculty of Engineering, University Technology Malaysia, in 2009, and the Ph.D. degree from the Wireless Communication Centre, Faculty of Electrical Engineering, University Technology Malaysia (UTM), in 2014. Since 2015, she has been working with UCSI University, Malaysia, where she is currently works as an Assistant Professor with the Faculty of Engineering and Built Environment (FETBE). Her research interests include wireless communications, spectrum sharing method, spectrum management, cellular communication systems and antenna design. Since 2017, she has been a member of Board of Engineers Malaysia (BEM).