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.
Topics
Machine Learning
Artificial intelligence (AI), mathematical optimization and information theory.
Recognized as one of the highest professional distinctions in engineering, Ostendorf has been elected to the NAE for “contributions to statistical and prosodic models for speech and natural language processing and for advances in conversational dialogue systems.”
A UW ECE team led by assistant professor Eli Shlizerman has created Audeo, a system that can generate music using only visual cues of someone playing the piano.
UW ECE assistant professor Lillian Ratliff recently received the Dhanani Endowed Faculty Fellowship in recognition of her outstanding work in machine learning, mathematical optimization and game theory.
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.