(734) 763-2238
Applications: Complex Systems, Computer Science, Electrical Engineering, Energy Research, Environmental Sciences, Human Subjects Trials and Intervention Studies, Management Science, Marketing and Consumer Behavior Research, Networks, Operations Research, Policy Research, Sensors and Sensor Networks, Social Sciences, Transportation Research, Urban Planning Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Collection Design, Data Mining, Data Security and Privacy, Data Visualization, Decision Science, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, Machine Learning, Mathematics, Network Analysis, Optimization, Predictive Modeling, Real-time Data Processing, Spatio-Temporal Data Analysis, Statistical Inference Connections:

Los Alamos National Laboratory

National ICT Australia, Emergency Services

University of Bologna

Pascal Van Hentenryck

Professor, Industrial and Operations Engineering


Electrical Engineering and Computer Science

Pascal Van Hentenryck’s research is focused on artificial intelligence, data science, and optimization, with applications in mobility and transportation, energy systems, and computational social choice. He is currently leading the RITMO project, partly funded by MIDAS, which focuses on designing novel models of mobility, mathematical and algorithmic approaches to operate them optimally, and software architectures and data-privacy mechanisms to deploy them. The RITMO project is also in the process of deploying its technology in a number of significant case studies, with a particular focus on social equity.

Tracking Shuttle Bus Location & Ridership