Data Sciences are fundamentally transforming nearly every area of engineering, science, and society. The University of Washington’s Electrical & Computer Engineering faculty are making fundamental contributions to many different areas of data sciences, including machine learning, AI, optimization, information theory, computer vision, and speech and natural language processing. Many of our data sciences faculty hold secondary appointments in applied mathematics, computer science and engineering, bioengineering, and other departments, and are active participants in cross-disciplinary institutes such as UW’s eScience Institute, the Allen Institute of Artificial Intelligence and the Bloedel Hearing Research Center.
Artificial intelligence (AI), mathematical optimization and information theory.
Faculty: Katrin Kirchhoff, Jeffrey A. Bilmes, Les Atlas, Maryam Fazel, Sreeram Kannan, Mari Ostendorf, Ming-Ting Sun, Eli Shlizerman, Jenq-Neng Hwang, Linda Shapiro, Hannaneh Hajishirzi, Shwetak Patel, Radha Poovendran
Theory, algorithms, signal processing systems and signal processing applications (i.e. biomedical, geophysical signals and synthetic signals).
Faculty: Ming-Ting Sun, Les Atlas, Mari Ostendorf, Brian A. Nelson, Jenq-Neng Hwang
Speech recognition, natural language understanding, computational linguistics and web-based language techniques.
Faculty: Mari Ostendorf, Katrin Kirchhoff, Jeffrey A. Bilmes, Hannaneh Hajishirzi, Les Atlas
Video analysis, surveillance, object recognition, activity recognition, medical image analysis and video compression
Faculty: Ming-Ting Sun, Jenq-Neng Hwang, Linda Shapiro, Jeffrey A. Bilmes, Eve Riskin, Radha Poovendran
UW ECE professor and Associate Chair for Research Maryam Fazel is leading a new, interdisciplinary research institute that brings together mathematicians, statisticians, computer scientists and engineers to develop the theoretical foundations of data science.
This endowment was established in 2019 by Ganesh and Hema Moorthy to recruit, reward and retain UW ECE faculty members who have demonstrated significant promise early in their careers.
UW ECE team of researchers present their unique 'unsupervised' approach to action recognition this week at major Computer Vision and Pattern Recognition (CVPR) 2020 conference.
UW ECE faculty and students are leading collaborative research aimed at reducing impacts of the novel coronavirus (COVID-19). Projects range from assisting with diagnostics, testing and tracking, to engineering ventilator technology, to developing targeted treatments for the disease.
System Design Methodologies Professor Mari Ostendorf joins one of eight new corresponding fellows, announced from across sciences, arts, education, business and public life.
ECE lecturer John Raiti's MSTI students created SnapSort!, an intelligent, real-time trash sorting assistant that uses computer vision and machine learning.
