الرئيسية
Biography

Welcome. I am Dr. Albara Ramli, a Ph.D. graduate in Computer Science from the University of California, Davis. I had the honor of being guided through my Ph.D. and MS studies by Prof. Xin Liu, and was co-advised by Prof. Erik Henricson.

My research is multidisciplinary, with a focus on IoT computing, network security, polyglot programming, and healthcare systems. I also have a keen interest in both classical and deep learning approaches to machine learning.

Education

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

Academic Activity
  • Reviewer, IEEE Internet of Things Journal 2023
  • Reviewer, Hindawi Journal of Sensors 2023

Talks

Graduate experience
(at University of California, Davis)
  • Teaching Assistant (TA) for Senior Design Project course
    • Jan 2016- June 2023
  • Graduate Researcher
    • Sep 2016 - June 2023
  • Graduate Student Researcher (GSR)
    • Apr 2021 - June 2023:
      UC Davis Health, Department of Physical Medicine and Rehabilitation.
    • 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