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Data Science


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.


Machine Learning

Artificial intelligence (AI), mathematical optimization and information theory.

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

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, Radha Poovendran

Quantum Information

Quantum information systems, quantum algorithms for complex systems, quantum hardware

Faculty: Rahul Trivedi

Latest News

A new kind of chip for quantum technology

A UW research team led by UW ECE and Physics Associate Professor Arka Majumdar has moved quantum technology development a significant step ahead, demonstrating a new kind of silicon photonic chip that could work as a solid foundation for building a quantum simulator, one with useful applications in the real world.

Listening to the ocean to measure the impact of climate change

UW ECE doctoral student John Ragland is finding ways to improve signal-processing and data-driven techniques for listening to ambient noise in the ocean. His work is providing more powerful tools for measuring ocean temperatures and underwater processes impacted by climate change.

The Integrator 2022 is now available!

Read this year's issue of The Integrator — UW ECE's flagship, annual magazine highlighting the Department's extraordinary faculty research, student achievements, alumni stories, special events and more!



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