IE Computes

One cannot go a day in modern society without using and benefitting from computating. Industrial Engineers look at data science, modeling, simulation, artificial intelligence, large language models, machine learning, and predictive analytics with a systems perspective. What does it mean for humans to interact with these systems? How can we create new ways of looking at the world to address the challenges ahead?

The trailblazing work of Alan Pritsker in discrete event simulations and James Solberg in intelligent manufacturing systems, set the foundations for Purdue IE’s international preeminence. Join us as we take this computational world to the next generation of possibilities.

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Team


Team Leaders

Gesualdo Scutari
Pedro and Barbara Granadillo Professor, Edwardson School Industrial Engineering *Electrical and Computer Engineering

Research Interests

Distributed and Large-scale Optimization

Computational Game Theory

Variational Inequalities

Machine Learning

Big Data Analytics

Applications in Communications, Networking, Signal Processing, and Sensor Networks

Harsha Honnappa
Associate Professor, Edwardson School of Industrial Engineering

Research Interests

Queueing Theory

Applied Probability

Statistics and Game Theory


Team Members

Vaneet Aggarwal
Professor, Edwardson School of Industrial Engineering

Research Interests

Supervised learning

Reinforcement Learning

Large Language Models

Quantum Machine Learning

Applications in Networking, Transportation, Robotics, Manufacturing, Healthcare, Biomedical, and Climate

Stephan Biller
Harold T. Amrine Distinguished Professor, Edwardson School of Industrial Engineering;
Mitchell E. Daniels, Jr. School of Business Director of Dauch Center for the Management of Manufacturing Enterprises

Research Interests

Digital-Industrial Strategy, Business and Financial Models

Resilient and Sustainable Manufacturing & Supply Chains

Production Systems, Operations Management, Enterprise Systems

Smart Manufacturing, Industry 4.0, AIoT

Digital transformation, Digital Twins

Energy Transition & Transportation

Innovation Commercialization & Go-to-Market @Scale

Srinivasan Chandrasekar
Professor, Edwardson School of Industrial Engineering;
Courtesy Appointment in Materials Engineering

Research Interests

Manufacturing

Materials Processing

Microsystems Technology

Nanostructured Materials

Zaiwei Chen
Assistant Professor, Edwardson School of Industrial Engineering

Research Interests

Reinforcement Learning

Learning in Games

Applied Probability

Optimization

Control

Gary Cheng
Professor, Edwardson School of Industrial Engineering

Research Interests

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

Joaquín Goñi Cortes
Professor, Edwardson School of Industrial Engineering

Research Interests

Complex Systems

Graph Theory and Network Science

Information Theory

Neuroimaging and Brain Connectomics

Souvik Dhara
Assistant Professor, Edwardson School of Industrial Engineering

Research Interests

Applied Probability

Inference and Algorithms on Networks

Random Graphs

Stochastic Processes

Ana María Estrada Gómez​
Assistant Professor, Edwardson School of Industrial Engineering

Research Interests

Complex Systems

High-dimensional streaming data

Monitoring and diagnosis

Adaptive sampling

Probabilistic graphical models

Susan Hunter
Associate Professor, Edwardson School of Industrial Engineering

Research Interests

Methods for simulation optimization.

Methods for multi-objective simulation optimization​.

Methods for two-stage multi-objective linear programs(e.g. disaster planning).

Cost-effectiveness analysis​.

Reem Khir
Assistant Professor, Edwardson School of Industrial Engineering

Research Interests

Logistics and transportation planning

Supply chain analytics

System modeling and optimization

Robust and stochastic optimization

Machine learning for constrained optimization

Seokcheon Lee
Professor, Edwardson School of Industrial Engineering

Research Interests

Distributed control

Supply chain management

Computer/Communication networks

Sensor networks/Ubiquitous systems

Service systems

Ramses Martinez
Hall Family Rising Star Associate Professor, Edwardson School of Industrial Engineering;
Joint Appointment with Biomedical Engineering

Research Interests

Nanofabrication

Soft Robotics

Flexible Electronics

Wearable and Implantable Devices

Smart/Programmable Materials

Shimon Nof
Professor, Edwardson School of Industrial Engineering;
Director, PRISM Center

Research Interests

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

Nagabhushana Prabhu
Professor, Edwardson School of Industrial Engineering

Research Interests

Nonlinear optimization and its applications

Eigenvalue computation of large sparse matrices

Computational oncology

Soliton physics

Siva Seetharaman
Assistant Professor, Edwardson School of Industrial Engineering

Research Interests

Control systems, machine learning, networks, energy, transportation, cyber-physical systems

Yu She
Assistant Professor, Edwardson School of Industrial Engineering

Research Interests

Robotics, Mechanism Design, Tactile Perception

Young-Jun Son
James J. Solberg Head;
Ransburg Professor, Edwardson School of Industrial Engineering

Research Interests

Real-time Control of Smart Factory and Extended Enterprises via Digital-Twin

Modeling Human Decision-Making (Extended Belief-Desire-Intention Model)

Multi-paradigm Simulations (agent, discrete event, system dynamics, virtual reality)

Modeling and Control of Emerging Applications (Emergency Evacuation, Healthcare, UAV/UGV Coordination, Social Network)

Mario Ventresca
Associate Professor, Edwardson School of Industrial Engineering

Research Interests

Spread of [potentially] pandemic diseases through populations (local to global scale); e.g., Zika, COVID-19.​

Spread of antigenically variable pathogens (local to global scale); e.g. Influenza H3N2.​​

Deriving and optimizing vaccination distribution strategies/public health policies (including considering equity-related factors).

Influence of social media messaging on health policy acceptance​.

Utilization of ML to aid in discovery of more effective policies.​

Use of network science to model and identify opportunities to improve trust in heterogeneous healthcare collaborative networks to improve services.

Develop novel methodologies for analyzing fMRI data from network science perspective to discover cognitive differences and early decline signs among healthy, ageing, immuno-compromised populations.​

Strengths in network science, operations research, stochastic modeling, ML, algorithm design and analysis.​

Juan Wachs
James H. and Barbara H. Greene Professor, Edwardson School of Industrial Engineering

Research Interests

Multimodal Robotic Co-Workers in the OR​.

Autonomous, Unmanned Medical Robots.

Robotics for Skill Augmentation.

Autonomous & AI Mentoring.

Rehabilitation ​Accessibility to Engineering Education​.

Wenzhuo Wu
Professor, Edwardson School of Industrial Engineering

Research Interests

Nanomanufacturing

Self-powered Nanosystems

Human-integrated Technologies

Smart sensors and electronics

Yuehwern Yih
Tompkins Professor, Edwardson School of Industrial Engineering;
Director of Smart Systems and Operations Laboratory;
Director of LASER PULSE Consortium

Research Interests

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



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