We are conducting fundamental research in different areas including Soft Robotics, Bio-inspire Sensors and Actuators, Rehabilitation Robotics, Human Augmentations, Exoskeletons, Prosthesis and Haptic Devices.
The main focus of the ARM Lab is on design and development of novel robotic platforms (including sensors, actuators, materials and mechanisms) that can physically interact with humans.
Faculty: Amir Jafari
Our lab is focusing on creating miniaturized tissue constructs containing several layers of human cell types in biomimetic hydrogels (bioinks) on several biochip platforms using "microarray three-dimensional (3D) bioprinting" technology.
Faculty: Moo-Yeal Lee
Website: https://engineering.unt.edu/bme/research/labs/bioprinting/
We are interested in using protein and cellular engineering and quantitative systems-level analyses to study biological behaviors and functions.
Faculty: Clement Chan
Website: https://www.clementchanlab.org/
We apply cutting-edge multiscale biomedical engineering tools and pluripotent stem cell technologies to understand and treat human cardiovascular diseases (CVDs), such as myocardial infarction, familial cardiomyopathies, congenital heart diseases, and cardiovascular toxicity.
Faculty: Huaxiao "Adam" Yang
The Meckes Research Group seeks to develop novel tools and technologies for the development of next generation therapeutics and disease models.
Faculty: Brian Meckes
Website: https://meckeslab.wordpress.com/
The is focused on integrating nanotechnology and biomaterials to develop new nanotherapeutics with higher efficiency compared to conventional therapeutic systems. Nanomedicine provides benefits such as improving biodistribution, controlling delivery of drug molecules, targeting to cells, reduced systemic toxicity and overall improving the drug’s efficacy.
Faculty: Neda Habibi
Website: https://engineering.unt.edu/bme/research/labs/nanomedicine/
The research interests of our lab lie in polymer science and biomedical engineering. We actively combine both fields to develop biomedical devices.
Faculty: Melanie Ecker
Website: https://eckerlab.com/
We seamlessly integrate computational and experimental methodologies with machine learning to revolutionize the field of medical predictions and treatment optimization. Our focus is on providing patient-specific insights into the outcomes of various medical procedures, anticipating post-surgery complications, and designing tailored treatment and prevention strategies.
Faculty: Fateme Esmailie
Website: https://engineering.unt.edu/bme/research/labs/tfam/