News
Dec 18, 2025
Robust Navigation and Sensing Technologies for Enhanced Situational Awareness
Helena Calatrava, PhD’28, electrical engineering, has dedicated much of her time and research to investigating ways to mitigate the challenges that threaten situational awareness in air and ground autonomous systems. She aims to strengthen core technologies behind reliable detection and tracking. As adversarial threats evolve, she remains committed to building more resilient next-generation navigation and sensing systems.
Dec 17, 2025
Improving Telecommunications for a Better Future
For his master’s thesis, Matteo Bordin, PhD’27, computer engineering, researched telecommunications and 5G networks. Closer examination within this field inspired Bordin to pursue a PhD, as well, where he hopes to develop inventive and impactful research projects that offer promise for a better future.
Dec 09, 2025
Advancing Machine Learning Research at Northeastern
Max Torop, PhD’27, electrical engineering, pursued his PhD to further his knowledge of machine learning. Since 2020, Torop has been conducting research at the Machine Learning Lab, seeking solutions for improving large language models and machine learning to enhance the future of these technologies.
Nov 25, 2025
Addressing Backdoor Attacks on Open Radio Access Networks (O-RAN)
Research developed by the Institute for the Wireless Internet of Things on “How to Poison an xApp: Dissecting Backdoor Attacks to Deep Reinforcement Learning in Open Radio Access Networks” was published in Computer Networks.
Nov 12, 2025
Using AI to Restore Historical Murals
MGEN Assistant Teaching Professor Zheng Zheng has been working closely with a high school student to develop an AI tool to help restore historical murals.
Nov 12, 2025
Shi Named AI2050 Early Career Fellow
ECE Assistant Professor Weiyan Shi was selected as an AI2050 Early Career Fellow by Schmidt Sciences, a prestigious honor recognizing exceptional researchers shaping the future of Artificial Intelligence.
Oct 17, 2025
Two Northeastern Professors Recognized as Massachusetts AI Innovators
CEE/MES Professor Qin Jim Chen and DMSB/MIE Associate Professor Tucker Marion both won the Massachusetts AI Hub’s AI Models Innovation Challenge.
Oct 16, 2025
New AI Tool Detects Sepsis Early
MGEN Teaching Professor Sergey Aitan has led a research project that has been working on developing an innovative medical tool using artificial intelligence that detects septic shock in the body.