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Data Science

Overview

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.

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

https://ee.washington.edu/spotlight/shwetak-patel-inducted-into-sigchi-academy/
https://www.washington.edu/news/2024/04/22/uw-leads-international-group-in-semiconductor-research-and-workforce-development/

UPWARDS for the Future

The University of Washington is at the forefront of an international effort to innovate the semiconductor industry while building a skilled U.S.-based workforce to design and manufacture chip technology. UW ECE and Physics Professor Mo Li is leading the UW's contribution to this effort.

https://www.washington.edu/news/2024/04/09/uw-joins-110-million-cross-pacific-effort-to-advance-artificial-intelligence/
https://ee.washington.edu/spotlight/ai-transparency/

A call for AI data transparency

UW ECE alumnus and Affiliate Professor Jai Jaisimha (Ph.D. ‘96) has co-founded a new nonprofit organization, the Transparency Coalition.ai, which is advocating for transparency and regulation of the data used to train artificial intelligence.

https://www.washington.edu/news/2024/03/28/train-ai-machine-learning-when-you-dont-have-enough-data/
https://ee.washington.edu/spotlight/yann-lecun-vp-and-chief-ai-scientist-at-meta-to-give-2024-lytle-lecture/
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