(608) 609-2655
Applications: Industrial Engineering, Information Systems, Operations Research, Precision Health, Sensors and Sensor Networks, Urban Planning Methodologies: Bayesian Methods, Data Mining, Decision Science, Heterogeneous Data Integration, High-Dimensional Data Analysis, Predictive Modeling, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Modeling, Statistics, Time Series Analysis

Raed Al Kontar

Assistant Professor, Industrial and Operations Engineering, College of Engineering

My research broadly focuses on developing data analytics and decision-making methodologies specifically tailored for Internet of Things (IoT) enabled smart and connected products/systems. I envision that most (if not all) engineering systems will eventually become connected systems in the future. Therefore, my key focus is on developing next-generation data analytics, machine learning, individualized informatics and graphical and network modeling tools to truly realize the competitive advantages that are promised by smart and connected products/systems.