I am Dr. Albara AH Ramli, a computer engineer and computer scientist. My first degree is a B.Sc. in Computer Engineering from the Faculty of Engineering at the University of Tripoli, Libya. I then earned my M.S. and Ph.D. in Computer Science at the University of California, Davis, advised by Prof. Xin Liu and co-advised by Prof. Erik Henricson, then spent three years as a Postdoctoral Scholar in the Neuromuscular Research Lab at UC Davis Health.
My research applies classical and deep learning to IoT devices, human activity recognition and healthcare. The result I am proudest of is Walk4Me, a system that turns wearable sensor data into digital outcome measures for children with Duchenne muscular dystrophy and for stroke and ALS patients.
I was an engineer before I was a researcher: IP/MPLS core networks, billing systems, and a software company I founded. That engineering background is why I still build the whole stack myself, from the sensor app to the model to the server it runs on.
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
University of California, Davis
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
University of California, Davis
Thesis project: SBR Polyglot and Peer Platforms on IoT over Networks (2018)
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B.Sc.
Computer Engineering
Faculty of Engineering, University of Tripoli, Libya
Later: Intensive English Program, UC Davis Extension