Supervised learning

Reinforcement Learning

Large Language Models

Quantum Machine Learning

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

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

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

Reinforcement Learning

Learning in Games

Applied Probability

Optimization

Control

Construction safety

Risk management

Decision making

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

Directed Graphical Models for Root Cause Analysis

Complex Systems

Graph Theory and Network Science

Information Theory

Neuroimaging and Brain Connectomics

Operations and Supply Chain Strategy

Smart Manufacturing and Process Optimization

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

Engineering Learning Innovation and Pedagogy

Analysis of stochastic models

Optimal design and control of stochastic systems

Model estimation and inverse problems for stochastic models

Generative modeling

Space operations

Manufacturing and service operations

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

Nonlinear Optimization

Nonsmooth Optimization

Stochastic Optimization

Data Science and Learning

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

Logistics Systems Planning and Design: Developing optimization-based technology for dynamic decision making

Enhancing and streamlining operations using real-time analytics

Supporting planner-in-the-loop environments to facilitate human-AI interaction for effective decision-making

Resilient and Sustainable Supply Chains: Performance and risk analysis of critical networks such as food supply chains in the defense industry

Designing transportation systems that trade off economic, environmental, and social goals

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

Interactions of optimization

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

Nonlinear optimization and its applications

Eigenvalue computation of large sparse matrices

Computational oncology

Soliton physics

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

Production system modeling and analysis

Queueing theory and applications

Reliability and probability theory

Scheduling and sequencing

Simulation methodology

Stochastic processes and modeling

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)

Approximation algorithms

Automated design and inference

Computational science and engineering

Discrete optimization

Machine learning

Medical operations research

Network science

Stochastic Optimization

Data Science

Nonlinear Optimization

Machine Learning

Algorithms

Applications in Healthcare

Stochastic Optimization

Distributed Optimization

Machine Learning