The CSE Department has a strong focus on interdiscplinary collaboration. It would be difficult to highlight all of our department’s interdiscplinary projects, so we consider only several efforts below.
Drs. Jinbo Bi, Alexander Russell, and Bing Wang collaborate with researchers at the UConn Health Center on an exciting project that uses smartphone sensor data to predict depression and support diagnosis. This work involves smart and connected health systems employing a combination of techniques from networks, machine learning, algorithms, and health & medicine. Dr. Bi also works with physicians (particularly psychiatrists, psychologists and oncologists) and biologists to understand disease and design personalized medicine using machine learning.
Dr. Mukul Bansal has a long-standing collaboration with Drs. J. Peter Gogarten and Joerg Graf (Molecular and Cell Biology at UConn) to improve understanding of horizontal gene transfer in microbes. Their work has resulted in a number of publications systematically studying horizontal gene transfer in prokaryotes and detecting high frequency transfers. He is also collaborating with Dr. Gregory Fournier (Department of Earth, Atmospheric and Planetary Sciences at MIT) to better understand the chronology of life on Earth.
Through collaboration with radiologists from the Radiology department at the UConn Health Center (UCHC), Dr. Sheida Nabavi and co-investigators are working on developing deep learning models for cancer classification, detection and segmentation. She has further collaborations with biologists at the Jackson Laboratory For Genomic Medicine (JAX) to develop software tools for analyzing raw DNA and RNA sequencing data.
A sample of other faculty with interdisciplinary collaborations include