Batmanghelich, Ohn-Bar Earn NSF CAREER Awards
The award will propel the research of rising stars in ECE.
Nanomaterials and Vaccine Research Earns CMBE Rising Star Award
Michelle Teplensky was awarded the Biomedical Engineering Society’s 2026 Cellular and Molecular Bioengineering Rising Star Award.
Self-Driving Lab to Accelerate the Breakdown of Toxic Chemicals
A new federally funded research effort is tackling one of chemistry’s most complex challenges, safely breaking down toxic industrial chemicals. Keith Brown (ME, MSE, Physics)(PI) and James Chapman (ME, MSE)(co-PI) in collaboration with Xi Ling (Chemistry, MSE) are bringing together robotics, artificial intelligence, and materials science to find a solution. The project is supported by […]
Master’s Student Advances Research on Zigbee Network Privacy
System Engineering master’s student Yishun Xiong researches how to improve the detection of communication between connected devices.
Recent ENG PhD Helps Develop Highly Sensitive Imaging Technique to Detect Myelin Damage
In a new study from Boston University Chobanian & Avedisian School of Medicine and BU’s College of Engineering, researchers used a special microscope called birefringence microscopy (BRM) paired with an automated deep learning algorithm to reliably count and map myelin damage across whole sections of the brain—something not feasible with other techniques. The ability to image and measure damage to myelin will lead to better understanding the patterns and extent that occurs with disease, injury and normal aging.
Matters of Perception
Professor Goyal receives funding for long-distance 3D imaging and atmospheric sensing.
Accelerating Progress with Self-Driving Labs
Materials researchers shared successes and challenges with automation.
Quantum Research, Getting Warmer
Swan study unlocks the key to room-temperature superfluorescence.
Building Virtual Laboratories for the Lung
Suki has co-authored what promises to be a foundational text on modeling for pulmonary researchers.
Ensuring Efficiency and Safety in the Power Grid with Optimization and Control
Associate Professor Emiliano Dall’Anese pursues research in automatic control, system theory, and optimization to increase the reliability and safety of power systems.