Incremental Learning in Time-series Data using Reinforcement Learning. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (ICDM (Workshops), 2022)

Advancing Parkinson's Disease Management Through Multi-Shared-Task Self-Supervised Signal Processing. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (IEEECONF, 2024)

Smartphone-Based Balance Assessment Using Machine Learning. - Marjan Nassajpour; Mustafa Shuqair; Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin; Behnaz Ghoraani (EMBC, 2024)

Integrating Wearable Sensor Technology and Machine Learning for Objective m-CTSIB Balance Score Estimation. - Marjan Nassajpour; Mustafa Shuqair; D. P. T. Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin; Behnaz Ghoraani (EMBC, 2024)

Wearable Sensor Configurations for Effective Tremor Assessment in Parkinson's Disease. - Shay Reardon; Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (EMBC, 2024)

Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (EMBC, 2024)

Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning. - Marjan Nassajpour; Mustafa Shuqair; Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin; Behnaz Ghoraani (Frontiers Digit. Health, 2024)

Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (IEEE J. Biomed. Health Informatics, 2024)

Multi-channel Time-series Transformer for Wearable Monitoring of Rigidity in Parkinson's Disease. - John Forde; Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (COINS, 2025)