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Mahbub Hassan
Also published under:M. Hassan, Mohammed Baseem Hassan
Affiliation
University of New South Wales, Australia
Topic
Neural Network,Convolutional Neural Network,Energy Harvesting,Long Short-term Memory,Analog-to-digital Converter,Internet Of Things,Solar Cells,Action Recognition,Bidirectional Long Short-term Memory,Data Augmentation,Deep Learning,Deep Models,Deep Neural Network,Dynamic Time Warping,Gesture Recognition,Human Activity Recognition,Indoor Environments,Indoor Localization,Light Intensity,Light Source,Photodetector,Piezoelectric Energy Harvester,Piezoelectric Harvester,Piezoelectric Materials,Power Consumption,Recognition Accuracy,Solar Panels,Target Domain,Unmanned Aerial Vehicles,Unseen Domains,User Location,Wearable Devices,3D Coordinates,3D Environment,3D Mesh,3D Scanning,3D Scene,Acceleration Signal,Accelerometer,Active Rest,Adversarial Domain Adaptation,Alternating Current,Aluminum Nitride,Amplitude Shift,Antenna Gain,Artificial Neural Network,Augmentation Methods,Average Reward,Beamwidth,Beginning Of Interval,
Biography
Mahbub Hassan is a professor in the School of Computer Science and Engineering at the University of New South Wales, Sydney (UNSW Sydney). His research interests include mobile networks, nanoscale wireless sensor networks, self-powered and energy-harvesting wireless networks, the Internet of Things (IoT), and wearable computing. Hassan received a PhD in computer science from Monash University. He is a Senior Member of IEEE. Contact him at [email protected].