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.

• 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)

• A Deep Learning Approach for Identification of Stroke-related Gait Features
  [Abstract] (Research Symposium in Neuroengineering & Medicine 2022)
• Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches
  [paper] (2021)
• An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
  [paper] (2021)
• An Automated System for Early Diagnosis, Severity and Progression Identification in Duchenne Muscular Dystrophy: A Machine Learning and Deep Learning Approach
  [Abstract] (7th Annual UC Davis Health Human Genomics Symposium 2020)
• BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach
  [paper] (ICIOT 2020)
• SBR Polyglot and Peer Platforms on IOT Over Networks
  [Master's thesis project] (UC Davis 2018)
• Shooting a Moving Target: Motion-Prediction-Based Transmission for 360-Degree Videos
  [paper] (IEEE BigData 2016)
• Viewing 360 Degree Videos: Motion Prediction and Bandwidth Optimization
  [poster] (ICNP 2016)
• Series on programming using Turbo C++, Visual C++, and OpenGL
  [book](2007) - in AR Lang.

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

• A Deep Learning Approach for Identification of Stroke-related Gait Features
  [Presentation] The Center for Neuroengineering & Medicine (UCD) - Research Symposium 2022
• Ensemble learning
  [Presentation] UC Davis 2022
• AI-based Sensing for Healthcare Applications
  [Presentation] The Center for Neuroengineering & Medicine (UCD) - Neuroengineering Lunch and Learn series 2022
• Human Activity Recognition through Wearable Sensors: DMD patient identification and ICU patient activity recognition
  [Demo] Virtual UCDMC Machine Learning Working Group 2021
• An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
  [Presentation] International Conference on Internet of Things (ICIOT 2021)
• An Automated System for Early Diagnosis, Severity and Progression Identification in Duchenne Muscular Dystrophy: A Machine Learning and Deep Learning Approach
  [Presentation] 7th Annual UC Davis Health Human Genomics Symposium 2020
• BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach
  [Presentation] International Conference on Internet of Things (ICIOT 2020)
• BACTGAN: Automatic Configuration Tuning for Software Systems with Generative Adversarial Networks
  [Presentation] 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019)