Biomechanics and Biomedical Engineering
Dr. Brian Garner
Control Strategies for Coordinated, Multi-segmented Motion
Exploring techniques, such as combining optimization, neural networks, and pid control strategies to automate control of coordinated motion in multi-segmented systems (e.g., mobile robots, animals, humans).
Geometric & Graphical Modeling of Non-rigid Materials
Modeling and visualizing morphological changes of non-rigid materials during simulated motion (e.g., muscles wrapping around underlying anatomical structures during joint movement).
Image Analysis and 3D Reconstruction
Developing algorithms and tools for high-quality analysis, 3D reconstruction, and refinement (e.g., smoothing, decimation, etc.) of surface-models from layered sets of 2D images such as MRI, CT, and other medical images.
Mechanical Systems Modeling, Simulation, and Visualization
Developing models and applying computational methods and tools for the simulation of mechanical (including biomechanical) systems.
Dr. Benjamin Kelley
Dr. Taeil Kim
Wearable Biosensing Systems for Health Monitoring
This research focuses on the design and fabrication of a wide spectrum of wearable biosensors for continuous health monitoring. These sensors assess vital health parameters such as blood pressure and temperature while monitoring ion levels, pH, glucose, hormones, and other biomarkers in biofluids continuously. The biosensors are integrated into systems that facilitate wireless data transfer and point-of-care diagnosis, enabling early diagnosis of diseases. AI technologies are employed to enhance sensor design, optimize material selection, and develop machine learning-based prediction models to improve the accuracy and reliability of these biosensing devices.
Assistive Wearable Devices for Patients
This research aims to develop assistive wearable devices specifically designed to support patients with chronic conditions, such as Parkinson's disease and Autism Spectrum Disorder (ASD). These devices will focus on improving patients' quality of life by assisting in the management of symptoms including communication challenges. The devices will be wearable, user-friendly, and equipped with advanced sensors and AI-driven feedback mechanisms that provide real-time assistance and monitoring, ensuring that patients receive timely interventions and optimized and personalized support.
Appropriate Technology
Developing low-cost, portable, and easy-to-use biosensor platforms that are sustainable and accessible for widespread health monitoring. This includes the creation of paper-based analytical devices and other innovative solutions designed to reach underserved populations, making health monitoring more equitable and globally accessible.