ISEN is home to a nationally prominent Data Science & Engineering faculty group distinguished by an IISE Fellow, three NSF CAREER Awardees, an INFORMS Impact Prize recipient, and major research awardees from INFORMS, IISE, and the American Statistical Association. The group’s leadership is reflected in high-impact publications, major externally funded projects, and national professional leadership.
Data Science & Engineering research is supported by premier faculty and advanced
computational laboratories focused on extracting insight from data and enabling
intelligent decision-making in complex engineered systems. These efforts are driven by
the need for scalable, data-driven, and uncertainty-aware solutions across sectors
including manufacturing, healthcare, defense, space, cyber-physical systems, wireless
communication systems, and energy. The work emphasizes data-centric modeling,
predictive analytics, and computational decision-making under uncertainty. Faculty
integrate statistical learning, probabilistic reasoning, and optimization methods to
develop robust and interpretable solutions for real-world engineering problems.
Collectively, these efforts improve prediction accuracy, decision quality under uncertainty, and system performance through integrated analytics, simulation, and optimization frameworks.
Artificial Intelligence & Machine Learning
Deep Learning, Federated and Distributed Learning, Optimization for MachineLearning, Generative AI, Graph Neural Networks, Large Language Models, and Agentic AI.
Data Analytics & Modeling under Uncertainty
Statistical Learning, Predictive Modeling, Uncertainty Quantification, Calibration, Statistical Process & Quality Control, and Bayesian Optimization.Intelligent Decision-Making
Reinforcement Learning, Autonomous Systems, AI for Optimization, Algorithms.Digital Twins
System Modeling, Stochastic Analysis, Risk Analysis, Physics-Informed Machine Learning, Real-Time Decision-Making.