We congratulate and offer our deepest gratitude to UW ECE Professors Howard Chizeck, Bruce Darling, Yasuo Kuga and Ming-Ting Sun, recent retirees who have left an impactful legacy of service.
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
Statistical Signal Processing
Theory, algorithms, signal processing systems and signal processing applications (i.e. biomedical, geophysical signals and synthetic signals).
Speech and Natural Language Processing
Speech recognition, natural language understanding, computational linguistics and web-based language techniques.
Computer Vision and Image Processing
Video analysis, surveillance, object recognition, activity recognition, medical image analysis and video compression
This fall, UW ECE will begin offering a Bachelor of Science in Electrical and Computer Engineering (BSECE). The new degree program provides students with increased flexibility and is highly adaptable to advances in technology.
UW ECE teams won top prizes in the 2022 GIX Innovation Competition and Hollomon Health Innovation Challenge for their work on a low-energy laundry technology and phone LiDAR scanning for custom fitted, low-cost ostomy wafers.
Professor Joshua Smith is the inaugural director of the new UW + Amazon Science Hub, which will advance innovation in core robotics, AI technologies and their applications.
A strong sense of social responsibility and empathy for other people has contributed to UW ECE Affiliate Professor Henrique (Rico) Malvar’s career success and motivated his longtime engagement with and support for the Department.
UW ECE Professor Maryam Fazel, who leads the Institute for Foundations of Data Science, provides an overview of the Institute and how it is tackling some of the most difficult challenges data science faces today.
- Karthik Mohan
- Rania Hussein
- Sreeram Kannan
- Eli Shlizerman
- Shwetak N. Patel
- Radha Poovendran
- Ming-Ting Sun
- Linda G. Shapiro
- Eve A. Riskin
- Mari Ostendorf
- Brian A. Nelson
- Katrin Kirchhoff
- Jenq-Neng Hwang
- Hannaneh Hajishirzi
- Maryam Fazel
- Jeffrey A. Bilmes
- Les Atlas
- MachinE Learning, Optimization, and Data Interpretation (MELODI) Laboratory
- Transformation, Interpretation and Analysis of Language (TIAL)
- Intelligent Systems Lab
- Graphics and Imaging Lab
- Data-Driven Dynamical Systems
- Signal, Speech and Language Interpretation Lab
- Silicon System Research Lab
- Ubicomp (Ubiquitous Computing) Research Lab
- Design, Test and Reliability Research Laboratory
- Information Processing Lab
- Information Theory Lab
- Interactive System Design Laboratory
- Digital Pathology: Accuracy, Viewing Behavior and Image Characterization (with PI: Joann Elmore at Harborview and others)
- 3D Head Reconstruction from Images or Videos (with Ira Kemmelmacher-Shlizerman in CSE)
- Expression Recognition with Deep Neural Nets (with Barbara Mones in CSE)
- Automatic Recognition of Power Line in Millimeter Wave Radar Video
- Surface Light Field Compression Using a Point Cloud Codec
- A Data-driven Point Cloud Simplification Framework for City-scale Image-based Localization
- Full-Capacity Unitary Recurrent Neural Networks
- Deep Submodular Functions: Definitions and Learning
- Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
- Y-Net: Joint Segmentation and Classification Diagnosis of Breast Biopsy Images