Research Areas

The Department of Industrial Engineering has seven research areas for students to choose from. Every research area is unique and has its own research theme and course work.

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Applied Statistics & Statistical Learning

Research in applied statistics and statistical learning investigates technologies and methodologies in the area of data science. It helps drive business value, improve decision-making, understand human relationships and transform data into knowledge.

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Financial Engineering

Research in financial engineering integrates methods and knowledge from mathematics, statistics, economics, operations research, and computer science.

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Healthcare Engineering

Research in healthcare engineering integrates and develops operations research, management science, analytics, and computer science methodologies with applications to, and motivation from, problems in developing cost effective health and humanitarian systems.

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Research in optimization focuses on the design of algorithms and models for decision making, often under uncertainty.

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Research on computational social science focuses on the social and technical dynamics within formal and informal organizations.

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Logistics and Operations

Research in Logistics and Operations focuses on supply chain management, product development, and service operations.

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Stochastic Analysis & Simulation

Research in stochastic analysis & simulation derives new methods for the design, analysis, and optimization of simulation experiments.