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 →
Allen School kicks off Computer Science Education Week with Code.org and the Computer Science Teachers Association
The Allen School teamed up with Code.org and the Computer Science Teachers Association (CSTA) on Monday to host the kickoff event marking the 2018 start of Computer Science Education Week and the largest-ever Hour of Code. The event featured special guests Melinda Gates, co-chair and trustee of the Bill & Melinda Gates Foundation, and Brad Smith, president and chief legal officer of Microsoft.
Gates engaged in a question and answer session with a local student about her … Read more →
Allen School team earns Best Paper Award at SenSys 2018 for new low-power wireless localization system
Researchers in the Allen School’s Networks & Mobile Systems Lab have developed the first low-power 3D localization system for sub-centimeter sized devices. The system, µLocate, enables continuous object tracking on mobile devices at distances of up to 60 meters — even through walls — while consuming mere microwatts of power. The team behind µLocate was recognized with a Best Paper Award at the recent Conference on Embedded Networked Sensor Systems (SenSys 2018) organized by the Association for Computing Machinery… Read more →
Allen School welcomes nine new faculty with expertise in cryptography, data science, machine learning, and more
The Allen School is thrilled to introduce nine outstanding educators and researchers who have joined or will soon join our faculty in the current academic year. The new arrivals strengthen our leadership in areas such as software engineering, networking, machine learning, and computer science education while enabling us to expand into exciting new territory spanning cryptography, computational design for manufacturing, and data science for human health and well-being.
Meet the latest additions to our scholarly community and discover how they… Read more →
Allen School undergrads are blazing new trails as first-generation college students
Frequent readers of the blog may be familiar with our Undergraduate Spotlight, an occasional feature in which we highlight an Allen School student who represents the next generation of innovators and leaders in the field of computing. For our latest feature, we shine the spotlight on a group of students who are among the first in their families to attend college as part of a nationwide celebration of the contributions that first-generation students make to our campus communities.
Meet Allen… Read more →