DIGITAL TWIN - INDUSTRIAL OPERATIONS

Digital Twin - Industrial Operations (DigiT-IO)

Digitalization is everywhere. Industrial Engineers model and simulate systems to optimize them or predict the unpredictable, making our world simply work better.

A digital twin is a digital model of an item or system. Digital twins can be made of an advanced manufacturing facility with all the latest technology, or space junk movement and collection in low earth orbit. A digital twin can be made of the traffic patterns in a theme park, human response to autonomous vehicles, or how to optimize energy on the grid.

We will help you build skills to become a leader in this increasingly digital world.

News

Team

Faculty

Team Leaders

Stephan Biller

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

Ramses Martinez

Ramses Martinez

Hall Family Rising Star Associate Professor Edwardson School of Industrial Engineering - Joint Appointment with Biomedical Engineering
Research Interests

3D Modeling, Rapid Prototyping & Sensor Integration: CAD Modeling of Highly Complex Systems

COMSOL Multiphysics Modeling

Additive Manufacturing

Sensor Integration (thin, flexible, low-cost sensors for structural integrity, electrophysiological signals, temperature, strain, humidity, proximity, pressure)

Augmented Invisible Motion using Color Variation: Automated Computer Recognition of objects and defects

Predictive algorithms in real time

VR Cave for AR

Integration of modeling, prototyping, sensing, digital twin, predictive algorithms

Team Members

Vaneet Aggarwal

Vaneet Aggarwal

Reilly 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

Hua Cai

Hua Cai

Thomas and Jane Schmidt Rising Star Associate Professor Edwardson School of Industrial Engineering - Joint Appointment with School of Sustainability Engineering & Environmental Engineering
Research Interests

Carbon, water and material footprint of digitalization

Supply chain sustainability and resilience

Life cycle environmental impacts of emerging technology/system/service

System of systems (industry-agriculture-transportation-water-energy nexus)

Integrated system modeling at different scales

Srinivasan Chandrasekar

Srinivasan Chandrasekar

Professor Edwardson School of Industrial Engineering - Courtesy Appointment in Materials Engineering
Research Interests

Manufacturing

Materials Processing

Microsystems Technology

Nanostructured Materials

Gary Cheng

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

Behzad Esmaeili

Behzad Esmaeili

Dr. Rohan & Mrs. Merle Phillips Rising Star Associate Professor, Edwardson School of Industrial Engineering Joint Appointment with Civil Engineering
Research Interests

Construction safety

Risk management

Decision making

Ana María Estrada Gomez

Ana María Estrada Gomez

Assistant Professor Edwardson School of Industrial Engineering
Research Interests

Modeling, Monitoring & Diagnosis of Multistage Manufacturing Processes Collecting High-dimensional Streaming Data: Adaptive Sampling Strategies for Online Monitoring

Directed Graphical Models for Root Cause Analysis

Nga Hin Ben Fong

Nga Hin Ben Fong

Associate Professor of Practice, Edwardson School of Industrial Engineering
Director of Professional Master's Program
Research Interests

Cyber-Physical Systems and Industry 4.0

IoT touch-screen devices, smart sensors and Cloud services

Management of industrial monitoring systems and AI/ML data analytics

Innovations in Experiential Learning & Professional Development

Global Technology Product Management

Syed Helmi

Syed Helmi

Professor Of Engineering Practice, Edwardson School of Industrial Engineering; Joint appointment with the School of Engineering Education
Research Interests

Operations & Supply Chain Strategy

Smart Manufacturing & Process Optimization

Digital Twin & Predictive Simulation (Discrete Events & System Dynamics)

Engineering Learning Innovation & Pedagogy

Susan Hunter

Susan Hunter

Associate Professor Edwardson School of Industrial Engineering
Research Interests

Methods for simulation optimization (objective functions via Monte Carlo simulation with stochastic error)

Multi-objective simulation optimization

Two-stage multi-objective linear programs

Cost-effectiveness analysis

Reem Khir

Reem Khir

Assistant Professor Edwardson School of Industrial Engineering
Research Interests

Logistics Systems Planning & Design: optimization-based dynamic decision making

real-time analytics

planner-in-the-loop human-AI interaction

Resilient & Sustainable Supply Chains (risk analysis of critical networks, e.g. defense food chains

multi-criteria transportation design)

Methodology: System Modeling, Robust & Stochastic Optimization, ML for Optimization

Seokcheon Lee

Seokcheon Lee

Professor Edwardson School of Industrial Engineering
Research Interests

Logistics –

dispatching, relocation, collaboration

Vehicle routing with non-routineness of trips & warehouse

Optimization for plant design, workflows & layout

Andrew Liu

Andrew Liu

Associate Professor Edwardson School of Industrial Engineering
Research Interests

Interactions of optimization

Game theory & industrial organization (energy markets & environmental policy applications)

Shimon Nof

Shimon Nof

Professor Edwardson School of Industrial Engineering
Research Interests

Collaborative robotics, e-Work & e-Business systems

Decision support networks for integrated production/service systems

Automation of nano/micro sensor networks

Systems security, integrity & assurance

Nagabhushana Prabhu

Nagabhushana Prabhu

Professor Edwardson School of Industrial Engineering
Research Interests

Nonlinear optimization & applications

Eigenvalue computation of large sparse matrices

Computational oncology

Soliton physics

Mohamed Salama

Mohamed Salama

Visiting Assistant Professor Edwardson School of Industrial Engineering
Research Interests

Supply Chain Network Design & Management

Logistics via drones & automated vehicles

Public transportation network design & operations

Disaster Management research

Collaboration on “

Resilient Community to Disruptions”

Gesualdo Scutari

Gesualdo Scutari

Pedro and Barbara Granadillo Professor, Edwardson School Industrial Engineering and Electrical and Computer Engineering
Research Interests

Distributed & large-scale optimization

Computational Game Theory

Variational Inequalities

Machine Learning

Big Data Analytics

Applications in Communications, Networking, Signal Processing & Sensor Networks

Sivaranjani Seetharaman

Sivaranjani Seetharaman

Assistant Professor Edwardson School of Industrial Engineering
Research Interests

Control systems

Machine learning

Networks

Energy

Transportation

Cyber-physical systems

Young-Jun Son

Young-Jun Son

James J. Solberg Head and Ransburg Professor of Edwardson School of Industrial Engineering
Research Interests

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

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

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

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

Mario Ventresca

Mario Ventresca

Associate Professor Edwardson School of Industrial Engineering
Research Interests

Spread of pandemic diseases (e.g. Zika, COVID-19)

Spread of antigenically variable pathogens (e.g. Influenza H3N2)

Vaccination distribution strategy/policy optimization (equity factors)

Influence of social media on health policy acceptance

ML-enabled policy discovery

Network science for healthcare trust

fMRI network-science methodologies for cognitive decline detection

Strengths in network science, OR, stochastic modeling, ML, algorithm design

Juan Wachs

Juan Wachs

James H. and Barbara H. Greene Professor, Edwardson School of Industrial Engineering
Research Interests

Skilled Robots: Multimodal robotic co-workers in OR

Autonomous medical robots

Robotics for skill augmentation

HRI & AI mentoring

Assistive robotics

Wenzhuo Wu

Wenzhuo Wu

Professor Edwardson School of Industrial Engineering
Research Interests

Nanomanufacturing

Self-powered nanosystems

Renewable energy

Human-integrated technologies

Smart sensors & electronics

Yuehwern Yih

Yuehwern Yih

Tompkins Professor, Edwardson School of Industrial Engineering
Research Interests

Real-time decision-making in semiconductor operations

Supply chain management for healthcare & humanitarian operations

Human-technology interaction

System design & integration

Interoperable data platforms

Simulation & predictive modeling

Robust, sustainable supply chain design

Stakeholder mapping & engagement

Pilot development, evaluation & scaling

Tech transfer & research translation processes

Denny Yu

Denny Yu

Cubitt Rising Star Associate Professor Edwardson School of Industrial Engineering
Research Interests

Quantifying intraoperative workload

Patient-factor-based workload modeling

Medical device design & usability testing

Wearable sensor integration for intelligent health systems

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