The Allen School family mourns the passing of professor emeritus Ted Kehl, one of the original group of seven faculty members who founded the Department of Computer Science at the University of Washington in the 1960s, and someone who was instrumental in introducing Seattle to a hardware revolution in the form of very large-scale integrated (VLSI) circuit design — a development that transformed computing and modern society.
Kehl earned his Ph.D. at University of Wisconsin-Madison in 1961 and joined the… Read more →
Explore the new Bill & Melinda Gates Center at the Allen School’s March 1st open house!
On Friday, March 1st, the Paul G. Allen School will open the doors of the new Bill & Melinda Gates Center for Computer Science & Engineering to the community. Friends, alumni, and campus and regional partners are invited to join us for an afternoon of building tours, demos, and interactive media that will showcase how the Bill & Melinda Gates Center will enable us to educate more of Washington’s students for high-impact careers, advance scientific discovery and innovation, and make… Read more →
UW’s Jennifer Mankoff, Batya Friedman and Jacob Wobbrock elected to CHI Academy
Allen School celebrates opening of NVIDIA’s new robotics research lab in Seattle
Mobile app developed by UW researchers offers people a “Second Chance” in the event of an opioid overdose
Ras Bodik, Alec Wolman, and Aaron Hertzmann recognized as Fellows of the ACM for outstanding contributions to the field of computing
Three members of the Allen School family were recently named Fellows of the Association for Computing Machinery (ACM) in recognition of their professional achievements. Professor Rastislav (Ras) Bodik of the Allen School’s Programming Languages & Software Engineering (PLSE) group, former postdoc Aaron Hertzmann of Adobe Research, and alumnus Alec Wolman (Ph.D., ‘02) of Microsoft Research were among the 56 ACM members worldwide to be recognized in the 2018 class of Fellows for their outstanding technical contributions in computing and information… Read more →
Ph.D. student Ewin Tang recognized in Forbes’ “30 Under 30” in science for taking the “quantum” out of quantum computing
Allen School Ph.D. student Ewin Tang has landed a spot on Forbes’ 2019 list of “30 Under 30” in science for developing a method that enables a classical computer to solve the “recommendation problem” in roughly the same time that a quantum computer could — upending one of the most prominent examples of quantum speedup in the process. Her algorithm offers an efficient solution to a core machine learning problem which models the task of predicting user preferences from incomplete… Read more →
University of Washington researchers create a buzz with Living IoT system that replaces drones with bees
A team of researchers in the Networks & Mobile Systems Lab led by Allen School professor Shyam Gollakota and the Autonomous Insect Robotics (AIR) Laboratory led by Mechanical Engineering professor Sawyer Fuller have designed a new mobile platform that combines sensing, computation, and communication in a package small enough to be carried by a bumblebee. Dubbed Living IoT, the system allows nature to take its course while enabling new capabilities in agricultural and environmental monitoring.
Living IoT’s reliance on… Read more →
MISL researchers earn Best Student Paper Award for designing and demonstrating content-based media search directly in DNA
Researchers in the Molecular Information Systems Lab (MISL) have taken another step forward in their quest to develop a next-generation data storage system with the introduction of new mechanisms for content-based similarity search of digital data stored in synthetic DNA. The team, which includes researchers from the University of Washington and Microsoft, took home the Best Student Paper Award in recognition of its work from the 24th International Conference on DNA Computing and Molecular Programming (DNA 24) in October.
The… Read more →
Allen School’s Yin Tat Lee earns Best Paper Award at NeurIPS 2018 for new algorithms for distributed optimization
A team of researchers that includes professor Yin Tat Lee of the Allen School’s Theory of Computation group has captured a Best Paper Award at the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018). The paper presents two new algorithms that achieve optimal convergence rates for optimizing non-smooth convex functions in distributed networks, which are commonly used for machine learning applications to meet the computational and storage demands of very large datasets.
Performing optimization in distributed networks involves… Read more →