In the Media
Aug 25, 2021
Northeastern University Computer Engineer Troubleshoots the World’s Fastest Supercomputers
ECE Assistant Professor Devesh Tiwari was featured in the HPC Wire article “Northeastern University Computer Engineer Troubleshoots the World’s Fastest Supercomputers.”
Aug 09, 2021
Understanding the Global Chip Shortage, a Big Crisis Involving Tiny Components
ECE Professor Matteo Rinaldi was featured in the Popular Science article “Understanding the global chip shortage, a big crisis involving tiny components.”
Jun 23, 2021
A Clever Robot Spies on Creatures in the Ocean’s ‘Twilight Zone’
ECE Professor Hanumant Singh was featured in the Wired.com article “A Clever Robot Spies on Creatures in the Ocean’s ‘Twilight Zone’“.
Jun 14, 2021
Research Roundup: Advanced High-Precision GNSS
ECE Assistant Professor Pau Closas’s research was featured in the GPS World article “Research Roundup: Advanced High-Precision GNSS“.
Jun 01, 2021
The CoCoPIE Framework from Yanzhi Wang’s Group Featured in Communications of the ACM
The CoCoPIE framework from ECE Assistant Professor Yanzhi Wang’s group is reported in the featured article “CoCoPIE: Enabling Real-Time AI on Off-the-Shelf Mobile Devices via Compression-Compilation Co-Design” in Communications of the ACM.
Mar 31, 2021
Wi-Fi will soon be able to do a whole lot more than connect you to the internet
ECE Assistant Professor Francesco Restuccia was featured in the TechRadar article “Wi-Fi will soon be able to do a whole lot more than connect you to the internet.”
Mar 23, 2021
Autonomous Cars Drive Terahertz Research
ECE Associate Professor Josep Jornet was recently interviewed by the SPIE (the International Society for Optics and Photonics) about the use of terahertz technologies in the future of autonomous cars. The story “Autonomous cars drive terahertz research” was published in an issue of Photonics Focus.
Feb 12, 2021
Researchers find that labels in computer vision datasets poorly capture racial diversity
ECE Professor Raymond Fu’s research was featured in the VentureBeat article “Researchers find that labels in computer vision datasets poorly capture racial diversity.”