Multimodal sensing to support physical, physiological, cognitive, and social health, well-being, and quality of life.

Evaluation of smart home technologies for independent living of aging populations.

Human-automation/AI interaction and human systems integration for older adults.

Accessibility and human-centered universal design for personal mobility and transportation.

Interdisciplinary and cross-sector collaboration with NGOs and healthcare providers​.

Gap identification in operations and systems design: supply chain, care delivery, medication adherence and safety, global health.

System modeling and predictive models (simulation-based, statistics-based, AI-based)​.

Real-time decision making and strategies for risk mitigation​​.

Patient flow and capacity management for in-patient and out-patient care​.

Risk stratification for re-admissions, longer length of stays​.

Interactions of human, technologies, and information – technology adoption, care quality and safety in medication administration, discharge process, re-admission.

Vancomycin dosing management for pediatric patients​.

ML approach to severity score for pneumonia.

Food distribution for HIV patients to improve anti-viral treatment outcomes in Kenya​.

Demand sensing for medical supply chains to improve maternal/child health in Uganda​​.

NICU spatial furniture design and layout design in Malawi​​​.

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

Understanding the link between urban form and human health​.

Assessing the “mobility option” equity in Indiana​.

AI-based TA tool “Arthur” to enhance student learning​​.

Search and Rescue agent collaboration and task coordination.

Wearable sensors for healthcare (sleep management).

Radiation oncology.

Humanitarian assistance activities​.

Data driven methods with structural and function.

Understanding Human brain structure and function.

Collaborations exploring schitzophrenia, Alzheimers, Traumatic Brain Injury (TBI).

Wearable physiological sensors for monitoring dysautonomia​.

Development of assistive technologies for persons with disabilities​.

Human-centered design of home and workspaces including STEM labs​​.

Digital human modeling

Safety engineering

Work methods and measurement

Ergonomics

Construction safety

Risk management

Decision making

Projecting long-term services and supports needs in the state of Minnesota to inform strategic planning to help service provision meet demand for the aging population.

Improving data systems in Montana Adult Protective Services to strengthen connections with community partners to improve continuity of care for victims of elder abuse, exploitation, and neglect.

Evaluation of a community coalition in two rural Indiana counties seeking to improve prevention, treatment, and recovery from opioid use disorder.

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

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

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​.

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​.

Performance and risk analysis of critical networks such as food supply chains in the defense industry​.

Designing transportation systems that tradeoff economic, environmental, and social goals​.

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

Stochastic integer programming/Markov decision processes/global optimization under uncertainty

System design, resource allocation, workforce scheduling in healthcare and supply chain applications

Computational modeling and optimization of disease prevention and control

Electronic health record and insurance claims data analysis

EMS logistics – ambulance dispatching, ambulance relocation, collaboration with citizen responders.​

Humanitarian logistics – vehicle routing with non-routineness of trips, humanitarian flying warehouse.

Human Factors

Safety engineering

Hazard Communication and Decision Support Systems

Nanofabrication

Soft Robotics

Flexible Electronics

Wearable and Implantable Devices

Smart/Programmable Materials

Supply Chain Network Design and Management.

Logistics using emerging technologies, such as drones and automated vehicles.​

Public transportation network design and operations.​

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.​

Improve health and safety of workers through application of ergonomics to reduce the loss from missing workday/ missing experienced workers.

Usability testing of product before launching the product in the market to understand its sustainability in market for long run.

5 years of experience of 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.​

Health information technology

Cognitive systems engineering

Situation awareness

Usability

Health information exchange​

Clinical decision-making

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.​

Multimodal Robotic Co-Workers in the OR​.

Autonomous, Unmanned Medical Robots.

Robotics for Skill Augmentation.

Autonomous & AI Mentoring.

Rehabilitation ​Accessibility to Engineering Education​.

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.

Stochastic Optimization​

Data Science

Nonlinear Optimization

Machine Learning

Algorithms

Applications in Healthcare

Adaptive human-robotic interaction architecture for augmenting surgery performance using real-time workload sensing.