Research Areas

Purdue Industrial Engineering research is expanding beyond our traditional boundaries. Our human factors efforts furthers a deeper understanding of cognition and decision making. Operations research improves computational IE and encompassing information engineering. Manufacturing research investigates the interplay between next-generation products and services. And production systems research focuses on complex systems and networks and systems-of-systems challenges.


Exploring cognition & decision making

  • Human Factors Engineering; Distributed Human Supervisory Control; Team Coordination and Performance Using Information Technology (Barrett Caldwell)
  • Neurotrama; Assistive Technology/Rehabilitation Engineering Physiological Control (Brad Duerstock)
  • Digital Human Modeling; Safety Engineering; Work Methods and Measurement; Ergonomics (Vincent Duffy)
  • Complex Systems; Graph Theory and Network Science; Information Theory; Neuroimagining and Brain Connectomics (Joaquín Goñi)
  • Decision-Making under Uncertainty; Decision Support Systems; Climate Change Adaptation; Risk Assessment and Communication; Multi-Criterion Decision Analysis; Heuristic Optimization (David Johnson)
  • Air Transportation Systems Engineering; Flight Deck Human Factors; Safety in Human-Integrated Systems; Human Performance Modeling (Steven Landry)
  • Human Factors; Technical Assistance Program (TAP); Safety Engineering; Hazard Communication and Decision Support Systems (Mark Lehto)
  • Collaborative Cognition; Team Communication; Teamwork in Healthcare Delivery (Sara McComb)
  • Engineering Psychology; Human-Machine Compatibility; Transfer of Training; Human Aspects of Information Security (Robert Proctor)
  • Quantifying Intraoperative Workload; Developing Patient Factors Based Workload Models; Medical Device Design and Usability Testing; Integrating Wearable Sensor Devices to Develop Intelligent Health Systems (Denny Yu)

Investigating next generation products & services

  • Manufacturing; Materials Processing; Microsystems Technology; Nanostructured Materials (Srinivasan Chandrasekar)
  • Laser materials processing; Hybrid manufacturing systems; Rapid manufacturing of 3D bulk structural nanomaterials; Manipulation and processing of biomaterials; Multilayer functional coating; Mechanical/physical property enhancement of metals (Gary Cheng)
  • Distributed Decision-Making; System Complexity; Mechanism design; Healthcare policy; Cyberinfrastructure for Engineering Applications (Abhijit Deshmukh)
  • Finish hard machining; Surface integrity and fatigue life; Coating of nano/micro-sized particles; Effective and innovative problem solving; E-factory; Competitive strategy (C. Richard Liu)
  • Nanofabrication; Soft Robotics; Flexible Electronics; Wearable and Implantable Devices; Smart/Programmable Materials (Ramses Martinez)
  • Smart adaptive electronics and optoelectronics; Advanced nanomanufacturing; Self-powered nano-systems; Nanotechnology-enabled energy harvesting and storage; Synthesis and integration of advanced nanomaterials for functional systems (Wenzhuo Wu)

Improving computational IE

  • Information and Coding Theory, Distributed cloud systems, Energy Harvesting, Wireless Communications (Vaneet Aggarwal)
  • Environmental implications of emerging technologies; Urban sustainability; Industrial ecology; Complex adaptive systems (Hua Cai)
  • Distributed Decision-Making; System Complexity; Mechanism design; Healthcare policy; Cyberinfrastructure for Engineering Applications (Abhijit Deshmukh)
  • Complex Systems; Graph Theory and Network Science; Information Theory; Neuroimaging and Brain Connectomics (Joaquín Goñi)
  • Queueing Theory, Applied Probability, Statistics and Game Theory (Harsha Honnappa)
  • Simulation optimization; simulation modeling and analysis; applied probability and statistics (Susan Hunter)
  • Decision-Making under Uncertainty; Decision Support Systems; Climate Change Adaptation; Risk Assessment and Communication; Multi-Criterion Decision Analysis; Heuristic Optimization (David Johnson)
  • Quantitative methods for systems engineering Modeling and simulation methods for systems engineering Programmatic risk management and risk analysis Cost and schedule forecasting for technology development Bayesian methods Effectiveness of systems engineering management methods and processes (Charles Robert Kenley)
  • Interactions of optimization, Game theory and Industrial organization, with applications to model and analyze energy markets and environmental policy (Andrew Liu)
  • Computational combinatorics; Dynamic programming; Financial engineering; Multi-criteria optimization (Thomas Morin)
  • Infrastructure sustainability and resilience; Disaster risk management; Climate change and extreme events; Risk and decision analysis; Statistical learning methods (Roshanak (Roshi) Nateghi)
  • Nonlinear optimization and its applications; Eigenvalue computation of large sparse matrices; Computational oncology; Soliton physics (Nagabhushana Prabhu)
  • Information theory and statistics, network science, causal inference, neuroscience and social networks (Christopher Quinn)
  • Distributed and Large-scale Optimization; Computational Game Theory; Variational Inequalities; Machine Learning; Big Data Analytics; Applications in Communications, Networking, Signal Processing, and Sensor Networks (Gesualdo Scutari)
  • Production system modeling and analysis, queueing theory and applications, reliability and probability theory, scheduling and sequencing, simulation methodology, and stochastic processes and modeling. (J Shanthikumar)
  • Approximation algorithms; Automated design and inference; Computational science and engineering; Discrete optimization; Machine learning; Medical operations research; Network science (Mario Ventresca)
  • Design and analysis of computer simulation experiments; Stochastic process; Quality improvement and quality control; Applied statistical methods; Healthcare system engineering (Hong Wan)

Focusing on complex systems & networks

  • Environmental implications of emerging technologies; Urban sustainability; Industrial ecology; Complex adaptive systems (Hua Cai)
  • Methods in statistical pattern recognition for high dimensional data analysis, data fusion techniques for multisensor problems, multiresolution methods in image analysis, and knowledge transfer in data mining. (Melba Crawford)
  • Distributed Decision-Making; System Complexity; Mechanism design; Healthcare policy; Cyberinfrastructure for Engineering Applications (Abhijit Deshmukh)
  • Distributed control; Supply chain management; Computer/Communication networks; Sensor networks/Ubiquitous systems; Service systems (Seokcheon Lee)
  • Collaborative robotics, e-Work, and e-Business systems; Decision support networks for integrated production and service systems; Automation of nano and micro sensor networks; Systems security, integrity, and assurance (Shimon Nof)
  • Production system modeling and analysis, queueing theory and applications, reliability and probability theory, scheduling and sequencing, simulation methodology, and stochastic processes and modeling. (J Shanthikumar)
  • Enterprise operations and production systems; Global logistics; Container yard automation; Manufacturing economics (Jose Tanchoco)
  • Approximation algorithms; Automated design and inference; Computational science and engineering; Discrete optimization; Machine learning; Medical operations research; Network science (Mario Ventresca)
  • Machine and computer vision; Robotics; Tele-operations; Human Computer Interaction ; Assistive technologies and Health support systems (Juan Wachs)
  • Design, monitor, and control of complex systems; Behavior-based dynamic control; Process/system model, analysis, and improvement; Machine learning and artificial intelligence; Healthcare system re-engineering (Yuehwern Yih)