Our faculty are not content to trod well-worn engineering paths. Instead, they are driven to pursue innovations in teaching, research that address truly complex challenges, and to pursue worldwide leadership roles in their fields.
Research interests include:
Network Science, Machine Learning and Artificial Intelligence
Madhav Marathe is an endowed Distinguished Professor in Biocomplexity, Director of the Network Systems Science and Advanced Computing (NSSAC) Division, Biocomplexity...
Developing magnetic resonance imaging (MRI) techniques for rapid acquisition and processing of image data in the setting of cardiovascular disease, neural diseases, and pediatrics, using tools in physics, signal processing, image reconstruction, and machine learning.
Clint Miller studies the genetic and environmental risk factors for coronary artery disease and other complex cardiovascular diseases using a combination of large-scale multi-omics profiling and genetic and drug perturbations. He is an Assistant Professor in Public Health Sciences and a resident...
The development of new pulse-sequence techniques, contrast mechanisms, and hardware for magnetic resonance (MR) imaging of the lung and MR-guided focused ultrasound of the brain. See Research Projects List below.
Dr. Mugler's main research focuses on the development and optimization of magnetic resonance imaging (MRI) techniques, and draws on a variety of physics and engineering principles with a strong emphasis on theoretical modeling and simulation, and on practical implementation and evaluation.