Mission
Our mission is to utilize biomedical engineering tools to optimize patient health and performance. Among these tools and research we focus on:
- Integrating Personalized Modeling and Novel Gait Adaptation Paradigms to Model Neural Plasticity
- Investigation of Lateral Trunk Flexion Angle Movement in UConn Athletes and Muscle Strength Using Repeated Measures
- Assessing Injury Risk of UConn Athletes Using Multi-Dimensional Statistical Classification Models
- Characterizing Stride Time Variability to Classify Individuals with Neurodegenerative Disorders
About the BEAM Lab
The Biomechanics Engineering Analysis and Modeling (BEAM) Lab is an interdisciplinary research and teaching lab located on the Storrs campus of the University of Connecticut under the direction of Assistant Professor Kristin Morgan. Our research team uses the latest experimental and research modeling approaches to advance the understanding of control and dynamics of movement under physically challenging and contextually relevant conditions. We are focused on making the health care patients quality of life to be optimal and improved.
The BEAM Lab is affiliated with the Biomedical Engineering Department at the College of Engineering, and actively collaborates with Biomedical Engineering students pursuing their Ph.D. or undergraduate degrees.
Department News
- Dr. Nukavarapu appointed next BME Department Head April 17, 2024
- Martin Han receives grants for research on neural implants for hearing loss January 30, 2024
- Associate Professor David M. Pierce receives National Science Foundation CAREER Award January 30, 2024
- Highlighting New Faculty January 30, 2024
- Guoan Zheng Receives National Science Foundation Grant January 30, 2024
BEAM Lab News
- Yannis Halkiadakis Successfully Defends Dissertation April 17, 2023
- Lab Group Presents Work at NSF DARE Conference March 4, 2023
- Yannis Halkiadakis Passes His Proposal Defense December 7, 2022
- Dr. Morgan Awarded K01 Mentored Research Scientist Career Development Award August 31, 2022
- Noah Davidson Presents Collaborative Work at the Joint Statistical Meeting D.C. August 9, 2022