Mark V. Albert
Scholar

Mark V. Albert

Google Scholar ID: LPzMx1IAAAAJ
Associate Professor of Computer Science
machine learningwearable sensorsbiomedical applications
Citations & Impact
All-time
Citations
1,168
 
H-index
21
 
i10-index
28
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Research Experience
  • Research Projects: Parkinson's Disease, Incomplete spinal cord injury, Transfemoral amputees, Cerebral Palsy, Toddlers; Applications: Activity Recognition, Fall Detection and Real-time response, Assessing quality of activities, Posture recognition, Computational neuroscience; ML Techniques: ML predictive and unsupervised models, Deep learning (CNN/RNN, Transformer architectures, autoencoders), Kubernetes/Docker Orchestration & Parallelisation, Hidden Markov Models.
Background
  • Research Interests: Using machine learning to advance medicine, particularly in wearable device analytics to aid clinicians in the treatment of mobility disorders, as well as broadly using AI to improve health outcomes.
Miscellany
  • Lab History: Formerly the Pervasive and Ambient Computing (PAC) Lab at Loyola University Chicago