ECE Cross-cutting Research in Biomedical Systems and Data Science

Our interdisciplinary research ranges from designing biomolecular sensors to developing data-intensive approaches for ensuring the safety of medical devices.


We leverage machine learning, image processing, and computational models to address challenges in radiology, bioinformatics, and mobile sensing.

Faculty

  • Scott Acton

    Scott Acton


    Scott Acton, professor of electrical and computer engineering, leads the Virginia image and video analysis lab. Members concentrate on image analysis problems such as tracking, segmentation and retrieval, with an emphasis on biological and biomedical image analysis.

    Profile | Virginia Image and Video Analysis Laboratory

  • Homa Alemzadeh

    Homa Alemzadeh


    Homa Alemzadeh, assistant professor of electrical and computer engineering and by courtesy computer science, develops techniques and tools for assessment and design of resilient cyber-physical systems, in particular reliability, safety and security validation of medical CPS and surgical robots.

    Profile | Google Scholar

  • Farzad Farnoud

    Farzad Farnoud


    Farzad Farnoud, assistant professor of electrical and computer engineering and computer science, leads the information processing and storage lab to solve problems at the intersection of information theory, bioinformatics, computational biology and machine learning.

    Profile | Information Processing and Storage Lab

  • Tom Fletcher

    Tom Fletcher


    Tom Fletcher, associate professor of electrical and computer engineering and computer science, has developed image analysis techniques to help researchers understand autism spectrum disorder and Alzheimer’s disease. He serves as associate director of the UVA Center for Engineering in Medicine.

    Profile | UVA Center for Engineering in Medicine

  • Gustavo Rohde

    Gustavo Rohde


    Gustavo Rohde, professor of biomedical engineering and electrical and computer engineering, leads the imaging and data science lab; members conduct objective and quantitative modeling of data from imaging and other types of sensors by incorporating knowledge from multiple disciplines.

    Profile | Imaging and Data Science Lab

  • Nathan Swami

    Nathan Swami


    Nathan Swami, professor of electrical and computer engineering, leads research in signaling at the nano-bio interface. His group develops electrically functional microfluidic devices and instrumentation for label-free manipulation, sorting and cytometry of biosystems.

    Profile | Signaling at the Nano/Bio Interface

  • Miaomiao Zhang

    Miaomiao Zhang


    Miaomiao Zhang, assistant professor of electrical and computer engineering and computer science, develops novel models at the intersection of statistics, mathematics and computer engineering for medical and biological imaging, such as image registration and segmentation.

    Profile | Google Scholar

ECE Biomedical Systems and Data Science Cross-Cutting Research News