ECE Research in Machine Learning, Signal and Image Processing, and Communications

We excel in the design of THz devices and circuits, microelectromechanical components, super-conducting materials, and beyond-CMOS electronics.

Our research advances understanding of non-Boolean computing, biomolecular sensing, long-range sensing (radio telescopes), wireless communications, and large-scale data storage. 

In 2020 alone, we published 21 papers in the most selective conferences with acceptance rates well under 25%. Our track record demonstrates the agility and vitality of ECE's mathematical and statistical modeling and optimization research.

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

  • Maïté Brandt-Pearce

    Maïté Brandt-Pearce

    Maïté Brandt-Pearce, professor of electrical and computer engineering, specializes in nonlinear effects in fiber-optics, free-space optical communications, cross-layer design of optical networks subject to physical layer degradations, body area networks, and radar signal processing.

    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

  • Jundong Li

    Jundong Li

    Jundong Li, assistant professor of electrical and computer engineering, with a joint appointment in computer science and the School of Data Science, conducts research in data mining and machine learning with a particular focus on feature learning, graph mining and social computing.

    Profile | Google Scholar

  • 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

  • Cong Shen

    Cong Shen

    Cong Shen, assistant professor of electrical and computer engineering, conducts research in wireless communications, networking and machine learning with an emphasis on theoretical models, algorithms, and practical engineering applications such as reinforcement learning and edge intelligence.

    Profile | Laboratory for Intelligent Communications and Networking

  • Nikolaos Sidiropoulos

    Nikolaos Sidiropoulos

    Nikolaos Sidiropoulos, Louis T. Rader Professor and chair of electrical and computer engineering, leads research in signal processing, communications, optimization, tensor decomposition and factor analysis, with applications in machine learning and communications.

    Profile | Google Scholar

  • Yixin Sun

    Yixin Sun

    Yixin Sun, Anita Jones Career Enhancement Assistant Professor of computer science and electrical and computer engineering, conducts research in network security and privacy with specific interests in network security and privacy, routing security, anonymity systems and network attacks and defenses.

    Profile | Google Scholar

  • 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 Machine Learning, Signal and Imaging Processing and Communications Research News