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.
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
- Graphics and Imaging Lab
- Data-Driven Dynamical Systems
- AI/ML/NLP Lab
- Signal, Speech and Language Interpretation Lab
- Silicon System Research Lab
- Ubicomp (Ubiquitous Computing) Research Lab
- Data Compression Lab
- Design, Test and Reliability Research Laboratory
- Information Processing Lab
- Information Theory Lab
- Interactive System Design Laboratory
- 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
- Hanneneh Hajishirzi
- Maryam Fazel
- Jeffrey A. Bilmes
- Les Atlas
UW Team named finalist in $2.5M Amazon Alexa PrizeThe team, made up of UW electrical engineers and computer science engineers, is one of three in the world to make it to the finals. Their challenge is to build a “socialbot” that can have intelligent conversations with Amazon's Alexa.
Professors Fazel and Kakade co-lead NSF TRIPODS Award to advance state of the art in data scienceProfessors Sham Kakade and Maryam Fazel are co-directors on the three-year $1.5 million award from the NSF.
UW EE-based team wins AI City ChallengeA team of graduate students and researchers, led by UW Electrical Engineering Professor Jenq-Neng Hwang, won the Track 2 challenge in the IEEE Smart World NVIDIA AI City Challenge.
Professor Hajishirzi awarded Bloomberg grant for data scienceThe Bloomberg grant supports cutting-edge research and high-impact, novel ideas. Professor Hannaneh Hajishirzi's grant proposal was one of eight chosen from almost 200 applications from professors around the world.
Professor Shwetak Patel Named ACM FellowEndowed Professor Shwetak Patel was named an Association for Computing Machinery (ACM) Fellow. ACM is the world’s largest educational and scientific computing society. Out of 53 computer scientists from a dozen countries, Patel is one of those selected for recognition.
Professor Eli Shlizerman Receives Award to Unearth Mosquitoes Sensory Attraction to HumansAssistant Professor Eli Shlizerman, along with Associate Professor of Biology Jeff Riffell, receive an AFOSR award to study the mosquito olfactory system. This research will unearth the odor fingerprints of humans to mosquitoes, allowing for the development of bio-inspired detection systems.
- 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
- Full-Capacity Unitary Recurrent Neural Networks
- Deep Submodular Functions: Definitions and Learning
- Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
- Modeling Stylized Character Expressions via Deep Learning
- Lagrangian Multiplier Adaptation for Rate-Distortion Optimization with Inter-frame Dependency
- A Data-driven Point Cloud Simplification Framework for City-scale Image-based Localization