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 a Postdoctoral Researcher at Florida Atlantic University, working with the NSF Industry/University Cooperative Research Center for Advanced Knowledge Enablement (CAKE). I recently completed my Ph.D. in Computer Science at FAU (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 research spans 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 2026-10-26
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