News

Patent for Reducing AI Model Size and Energy Consumption

ECE Professor Yanzhi Wang and Associate Professor Xue “Shelley” Lin were awarded a patent for compressing deep neural network models using the alternating direction method of multipliers (ADMM).

Northeastern Launches Physical AI Research Initiative, Unveils NU-WORLD Platform

Northeastern launched the Physical AI Research (PAIR) Initiative and unveiled the NU-WORLD platform, bringing together researchers, industry leaders, entrepreneurs, and government representatives to advance physical AI.

Uncovering the Mystery Behind Physical AI

Northeastern College of Engineering faculty, including Professor Yanzhi Wang, shared their perspectives on physical AI and its future across robotics, healthcare, manufacturing, and other fields.

Patent for Compressing and Accelerating Mobile AI Models

ECE Professor Yanzhi Wang was awarded a patent for compressing recurrent neural network models and accelerating their execution on mobile devices for real-time inference.

Patent for Faster and More Efficient AI Applications on Smartphones

ECE Professor Yanzhi Wang was awarded a patent for "Computer-implemented methods and systems for DNN weight pruning for real-time execution on mobile devices."

2025 Stanford University Annual Assessment of Author Citations

Professor Yanzhi Wang is among the top scientists worldwide selected by Stanford University representing the top 2% of the most-cited scientists with single-year impact in various disciplines.

Awarded $1,100,000 NSF grant for “Robust Machine Learning at the Edge”

ECE Professor Yanzhi Wang, in collaboration with Stratis Ioannidis, Jennifer Dy, and Kaushik Chowdhury, received a $1.1M NSF grant to develop robust machine learning techniques for critical edge applications.

2024 Stanford University Annual Assessment of Author Citations

Professor Yanzhi Wang is recognized among the top 2% of most-cited scientists worldwide by Stanford University for his single-year impact in 2024.

Received $1.6M NSF grant for “Strengthening Elderly Mobility in Urban Landscapes”

ECE Associate Professor Yanzhi Wang, alongside CEE Associate Professor Qi “Ryan” Wang, received a $1.6M NSF grant to improve elderly mobility and create age-inclusive communities through technology.

Faculty and Staff Awards 2024

The College of Engineering recognized faculty and staff at the annual awards event for their hard work and dedication during the 2023-2024 academic year.

2023 Stanford University Annual Assessment of Author Citations

Professor Yanzhi Wang is selected by Stanford University among the top 2% of the most-cited scientists worldwide for single-year impact in 2023.

More Efficient Deep Neural Networks for Edge Devices

Awarded a $600,000 NSF grant for “Expediting Continual Online Learning on Edge Platforms through Software-Hardware Co-designs” in collaboration with the University of Pittsburgh.

Additional Funding for ARO Young Investigator Award

Received $450,000 in additional funding from the Army Research Office (ARO) for the Young Investigator Award.

Organizing DACC Workshop at AAAI 2023

Organizing the First Workshop on DL-Hardware Co-Design for AI Acceleration (DACC) at the 2023 AAAI Conference on Artificial Intelligence.

Wang Receives APSIPA Distinguished Industrial Leader Award

Awarded the Asia Pacific Signal and Information Processing Association (APSIPA) Distinguished Industrial Leader award at the 2022 Annual Summit and Conference.