Biography
I'm Albara Ramli, a Ph.D. candidate and researcher in computer science at the University of California Davis. My research interests include IoT computing, network security, and polyglot programming, applied machine learning (classical machine learning and deep learning), and healthcare systems. I obtained my Master's degree in computer science at UC Davis, California, USA. I received my BS.c degree in Computer Engineering from University of Tripoli. My Ph.D. & MS advisor is Prof. Xin Liu.
Education
- Ph.D. (student); in Computer Science; University of California, Davis
- MS; in Computer Science; University of California, Davis
- IEP; Intensive English Program; University of California, Davis Extension
- BS.c; in Computer Engineering; University of Tripoli, Tripoli
Projects
- BioPortal Platform: connect, visualize, analyze and share animal health and management data. (UC Davis 2021)
- iCare Platform: Alzheimer’s Disease Platform [Development and piloting of a digital application designed to promote exercise and a healthy diet among older adults at risk for cognitive decline] (UC Davis 2020)
- Identify the patterns in gait characteristics in Duchenne muscular dystrophy patients based on wearable sensor [a mobile app and machine/deep learning approach to identifying disordered gait to aid early diagnosis and measurement of disease progression in children with Duchenne muscular dystrophy] (UC Davis 2020)
- Covid-19 Symptom Scientist Platform (UC Davis 2020)
- Translate Eye Blinks to a spoken/written language [a deep learning model predicts the state of the eyes of and converted it to sequences of words in Amyotrophic lateral sclerosis (ALS) patients] (UC Davis 2019)
- Cross-layer interaction between transport vs application layers: Congestion Control and Adaptive Bitrate Streaming cross-layer, Reinforcement learning approach [a framework generates ABR algorithms and congestion control using reinforcement learning to recognize the effects of transport layer vs application layer] (UC Davis 2019)
- Reproduce Neural Adaptive Video Streaming with Pensieve [a system that generates ABR algorithms using reinforcement learning] (UC Davis 2018)
- Reproduce Pantheon of Congestion Control [a community evaluation platform for academic research on congestion control] (UC Davis 2018)
- Protection of privacy data in your vicinity: device identification in wireless environments, data-driven approach in networking [a framework to recognize the number of actively-transmitting devices in the vicinity and the type of each device in the vicinity] (UC Davis 2018)
- Network Security: System Secure and Policy Protection [Implementing a real-world scenario to verify that the integration of security requirements by different companies in the same network is secure. And using an assurance step to verify security requirements (Bell-LaPadula model, Bibamodel, and ACM).] (UC Davis 2018)
- SBR Polyglot programming: a platform of hyper programming languages. (UC Davis 2017)
- Measuring Network Performance: The Impact of Dyn 2016 Cyber-attack (UC Davis 2017)
- Virtual reality: developing an experimental platform with Oculus to collect head orientation data of 360-degree video (UC Davis 2016)
Publication
Talks
Academic Activity
(at University of California, Davis)
- Teaching Assistant (TA) for Senior Design Project course
- Graduate Researcher
- Graduate Student Researcher (GSR)
- Apr 2021 - Current:
UC Davis Health, Department of Neurology, Alzheimer's Disease Research Center.
- Oct 2020 - Dec 2020:
UC Davis Health, Department of Neurology, Alzheimer's Disease Research Center.
- Aug 2020 - Sep 2020:
UC Davis Health, Department of Physical Medicine and Rehabilitation.
- Sep 2018 - Dec 2018:
UC Davis, Department of Computer Science.
- Sep 2016 - Dec 2016:
UC Davis, Department of Computer Science.
- Undergraduate Researcher
- Aug 2015 - Sep 2016:
UC Davis, Department of Computer Science.
Work Experience
Contact me
- Email: albara[at]ramli.net
- Phone: +1 (530) 220-3068
- Office: Kemper Hall 2231, University of California, Davis
- Email: Anytime
- Text: Anytime
- Call: By appointment
- Zoom: By appointment
- In-person: currently no in-person meetings
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