Advanced Signal Processing and Machine Learning for Autonomous Screening in Unconstrained Environments

The COVID-19 pandemic has abruptly and undoubtedly changed the world as we knew at the end of the second decade of the 21st century. Of particular interest to this research program is development of advanced autonomous screening (thermographic and cognitive) systems via integration of signal processing and deep learning models to address the following three requirements and challenges of the project’s industrial partner: (i) Development of an AI-empowered avatar that autonomously performs their Cognistat assessments. The objective is to convert Cognistat technician administered solution to an autonomous AI-based solution; (ii) Addressing the industrial partner’s challenges for development of thermographic screening solutions in unconstrained environments for real-life environments such as clinics and hospitals, and; (iii) Validation of duplicated medical documents, which is a general challenge faced across the scope of the project. One specific requirement is development of an autonomous and AI-driven duplicated medical record matching engine.

Faculty Supervisor:

Arash Mohammadi

Student:

Partner:

Novatek International

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University

Program: