I am a computer engineer and computer scientist. I received my B.Sc. in Computer Engineering from the Faculty of Engineering at the University of Tripoli, Libya, where I was supervised by Professor Shubat Senoussi Ahmeda (Owhida). I then received my M.S. and Ph.D. in Computer Science from the College of Engineering at the University of California, Davis, USA. Professor Xin Liu advised me for both degrees, and Professor Erik Henricson co-advised my Ph.D. Since 2023 I have been a Postdoctoral Scholar in the Neuromuscular Research Lab at UC Davis Health.
My research applies classical machine learning and deep learning to IoT devices, human activity recognition and healthcare systems. Much of it centers on Walk4Me, a system that converts wearable sensor data into digital outcome measures for children with Duchenne muscular dystrophy and for patients with stroke or ALS.
I also have industry experience in IP/MPLS core networks and telecom billing systems, and I founded a software company. In my research I develop complete systems, from the sensor app and the models to the servers that run them.
Research interests
Applied machine learning
Deep learning
Gait analysis
Human activity recognition
Wearable sensing
Digital health
Internet of Things
Network security
Polyglot programming
Education
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Ph.D.
Computer Science · Applied Artificial Intelligence
College of Engineering, University of California, Davis, USA
Dissertation: Applied Machine Learning in Healthcare Systems: Classical and Deep Learning Approach for Gait Analysis and Activity Recognition (2023)
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M.S.
Computer Science · Polyglot Programming and IoT
College of Engineering, University of California, Davis, USA
Thesis project: SBR Polyglot and Peer Platforms on IoT over Networks (2018)
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B.Sc.
Computer Engineering · Networks
Faculty of Engineering, University of Tripoli, Libya
Graduation project: Peer to Peer Connection Over Local Network System (P2P COLNS) (2010)