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

3D Modeling, Rapid Prototyping, & Sensor Integration​:

Augmented Invisible Motion using Color Variation​:

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​

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​

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"

Model learning process of workers in assembly line to predict their performance. Predicting performance can be helpful to reduce error and make the process more sustainable. This process is the first step to transition to zero for sustainability.​

Interested in securing safe workplace for healthcare workers mitigating their risk of developing MSDs​

Prior Experiences: collecting muscle fatigue data and human performance data, Biomechanical modeling of data, healthcare data, optimization modeling to develop cost effective ergonomics solution for users.

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

Wearable multimodal sensors for physiological and mental health monitoring

​Wearable sensors network for human/team performance assessment

Nanotechnology for off-the-grid clean water and power resiliency

Self-powered microelectronics

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