Graduate Students

I study how our sense of touch is used to explore the physical world, and ways this knowledge can improve technology, healthcare, and human connection

Systems Engineering combined my interests in human-technology interaction and psychology, which grew during my undergraduate degree. This field pushes me to take a holistic and analytical approach to complex problems while working towards a real-world solution.

I am supporting a CCALS-led project funded by the VTRRC to identify and analyze hydrogen and hydrogen-hybrid use cases in Southern Virginia

My dissertation focuses on creating a Fitts' Law correction to increase technology accessibility for people with tremor dominant movement disorders. 

I'm working to better understand the delivery of therapeutic touch, by improving methods of sensing the delivery and analysis.

I study how transparency shapes privacy perceptions, user trust, and data-sharing decisions in smart buildings.

Deep learning for 3D medical image segmentation; multimodal frameworks fusing imaging and clinical text to advance precision health.

My research studies skin deformation during massage therapy using computer vision to better quantify the effectiveness of these treatments.

My research develops data-driven methods for modeling risk and resilience, informing robust decision-making in complex systems.

I develop AI-enabled cyber‚ physical systems using ML, NLP, and computer vision to automate infrastructure inspection & enable precision agriculture.

My research focuses on human factors approach to improving the quality and accessibility of healthcare for individuals with disabilities and chronic medical conditions. 

Skye's dissertation research focuses on improving the design and reliability of subjective measures of human workload, namely the NASA-TLX.

I am working in the field of neural data analysis. My research mainly focuses on developing stimulus-response neural models. 

My work uses graph neural networks to predict subsurface damage in structures.