معرفی
Mark Albert is an Associate Professor in the Department of Computer Science and Engineering at the University of North Texas. He serves as Associate Chair for Graduate Studies, overseeing graduate education programs and academic policies. His research focuses on AI-driven solutions for biomedical applications, wearable technology, and healthcare informatics. Key areas include machine learning for clinical gait analysis, fall risk assessment, and multimodal radiology report generation. Dr. Albert also explores conflict forecasting using large language models and develops assistive technologies for individuals with mobility impairments.
His work integrates sensor data analysis, reinforcement learning, and natural language processing to address challenges in rehabilitation engineering, pediatric neurology, and sound exposure monitoring. Notable projects include the Shriners Gait Index, a metric for surgical outcomes in cerebral palsy patients, and AI-organoid systems for biomedical research. He has collaborated on mobile health systems for Parkinson’s disease symptom tracking and wearable spasticity estimation technologies.
Dr. Albert’s contributions span 50+ peer-reviewed articles since 2003, with recent emphasis on medical AI applications. He advises graduate students on interdisciplinary projects combining computer science with healthcare, and has developed outreach initiatives like the Brain Geography Mini-Course for neuroscience education.
