Supervised learning

Reinforcement Learning

Large Language Models

Quantum Machine Learning

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

Carbon, water and material footprint of digitalization

Supply chain sustainability and resilience

Life cycle environmental impacts of emerging technology/system/service

System of systems (e.g., industry-agriculture-transportation-water-energy nexus)​

Integrated system modeling at different scales​

Manufacturing

Materials Processing

Microsystems Technology

Nanostructured Materials

Reinforcement Learning

Learning in Games

Applied Probability

Optimization

Control

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

Construction safety

Risk management

Decision making

Cyber-Physical Systems and Industry 4.0

IoT touch-screen devices, smart sensors, and Cloud services

Management of industrial monitoring system and AI/ML data analytics

Innovations in Experiential Learning and Professional Development practice

Global Technology Product Management

Modeling, Monitoring, and Diagnosis of Multistage Manufacturing Processes Collecting High-dimensional Streaming Data:

Industrial Engineering (Facilities Planning and Design, Supply Chain, Optimization)

Engineering Education (Problem Solving, Making Academic Change, Student-Centered Learning)

Methods for simulation optimization - optimization when the objective functions are defined implicitly through a Monte Carlo simulation model and can only be observed with stochastic error.​

Methods for multi-objective simulation optimization​

Methods for two-stage multi-objective linear programs

Cost-effectiveness analysis

Logistics Systems Planning and Design:

Resilient and Sustainable Supply Chains:

Methodology: System Modeling, Robust & Stochastic Optimization, Machine Learning for Optimization

Logistics – dispatching, relocation, collaboration

Logistics – vehicle routing with non-routineness of trips, warehouse​

Optimization for plant design, work flows and layout​

Interactions of optimization

Game theory and Industrial organization, with applications to model and analyze energy markets and environmental policy

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

Nonlinear optimization and its applications

Eigenvalue computation of large sparse matrices

Computational oncology

Soliton physics​

Supply Chain Network Design and Management

Logistics using emerging technologies, such as drones and automated vehicles

Public transportation network design and operations​

Conducting research on Disaster Management

Seeking Collaboration on "Resilient Community to Disruptions"

Distributed and Large-scale Optimization

Computational Game Theory

Variational Inequalities

Machine Learning

Big Data Analytics

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

Control systems

Machine learning

Networks

Energy

Transportation

Cyber-physical systems

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)

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​

Skilled Robots:

HRI and AI:

Assistive Robotics

Nanomanufacturing

Self-powered Nanosystems

Renewable Energy

Human-integrated Technologies

Smart sensors and electronics

Real-time decision-making in operations for semi-conductor manufacturing

Supply chain management for health care and humanitarian operations

Human-technology interactions in technology implementation

System design and integration; Interoperable data platform

Simulation and predictive modeling

Robust supply chains to optimize cost & delivery considering resilience and sustainability

Company/user engagement and stakeholder mapping and analysis

Supply chain data platform and solutions

Identify, develop, and pilot solutions (including workflow design and evaluation plan) with selected industrial partners

Implement and evaluate the performance of the pilot tools

Identify gaps that need further development and refine the solutions; need/solution matching

System/process for research translation and technology transfer to scale and disseminate solutions

Quantifying intraoperative workload

Developing patient factors based workload models

Medical device design and usability testing

Integrating wearable sensor devices to develop intelligent health systems