In-Vehicle Sensors for Cognitive Impairment Detection in Older Drivers
A multimodal sensing pipeline for analyzing driving behavior, physiological signals, and vehicle telemetry to identify early cognitive decline in older drivers.
Academic portfolio
Muhammad T. Jan
I am an AI Research Scientist at Guident Corp and recently earned my Ph.D. in Computer Science from Florida Atlantic University (2026). My work focuses on computer vision, machine learning, and multimodal systems for healthcare and intelligent monitoring, with a strong emphasis on turning research prototypes into production-grade tools.
Previously, I completed my Master’s degree at the University of Salerno, Italy, where I worked on event-based facial recognition. My current research and industry work span clinical analytics, driver monitoring, patient localization, telehealth, and predictive systems for real-world deployment.
Computer Vision
Machine Learning
Healthcare AI
Multimodal Systems
29
Publications
301
Citations
11
h-index
6+
Years across research and industry
Source: Google Scholar, updated 2026-10-19
Selected work
Projects from research and industry
Automated Patient Localization in Challenging Hospital Environments
A computer vision system for detecting and tracking patients in crowded hospital spaces using standard camera infrastructure.
Body Weight Estimation for Emergency Care
A review and applied methods study for estimating body weight with 3D camera systems when direct measurement is not possible.
Publications
Selected and recent papers
Publications
Updates