Home Department: Mechanical Engineering
Faculty Advisor: Scott Delp
Talk Title: Combining simulations and experiments to design a muscle coordination retraining strategy that reduces knee contact force
Event: 2020 CAMS-Knee Opensim Workshop at ETH Zurich
Awarded in 2019
Talk Title: Personalization improves the efficacy of gait modifications at reducing the knee adduction moment in individuals with medial knee osteoarthritis
Event: 2019 International Society of Biomechanics Congress - Scott's abstract was selected as a David Winter Young Investigator Award Finalist.
Dr. Scott Owen's lab studies how neuromodulation can shape the activity of targeted cell types and circuits to guide behavior. Their goal is to understand how specialized physiology, connectivity, and cell-signaling support the diverse functions of individual neuronal cell types. How can a deeper understanding of these features guide future therapeutic interventions for neurological diseases including Autism, Obsessive-Compulsive Disorder, and Parkinson’s Disease?
Dr. Scott Linderman works in the fields of machine learning and computational neuroscience. Dr. Linderman's lab focuses on developing probabilistic models and inference algorithms to better understand complex biological datasets.
Home Department: Electrical Engineering
Faculty Advisor: Norbert Pelc
Talk Title: An inverse geometry CT system with stationary source arrays
Event: SPIE Medical Imaging 2011
Dr. Scott Fendorf's research interests include the chemical and biological processes that govern the fate and transport (and thus cycling) of contaminants (such as arsenic) and nutrients (such as phosphate) within soils, sediments, and surface waters. Dr. Fendorf's research group examines the chemical environments that develop as a result of both biotic and abiotic processes, and they strive to account for the physical complexity, inclusive of solute transport, within natural settings.
