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Data Sciences

Overview

Data sciences are fundamentally transforming nearly every area of engineering, science, and society. The University of Washington’s Electrical 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.

Faculty: Katrin KirchhoffJeffrey A. BilmesLes AtlasMaryam FazelSreeram KannanMari OstendorfMing-Ting SunEli ShlizermanJenq-Neng Hwang, Linda ShapiroHannaneh Hajishirzi, Shwetak Patel 

Statistical Signal Processing

Theory, algorithms, signal processing systems and signal processing applications (i.e. biomedical, geophysical signals and synthetic signals).

Faculty: Ming-Ting SunLes Atlas, Mari OstendorfBrian A. NelsonJenq-Neng Hwang

Speech and Natural Language Processing

Speech recognition, natural language understanding, computational linguistics and web-based language techniques.

Faculty:  Mari OstendorfKatrin KirchhoffJeffrey A. BilmesHannaneh HajishirziLes Atlas

Computer Vision and Image Processing

Video analysis, surveillance, object recognition, activity recognition, medical image analysis and video compression

FacultyMing-Ting SunJenq-Neng HwangLinda ShapiroJeffrey A. Bilmes, Eve Riskin

Component Labs

Associated Labs

Researchers

 

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