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.
Biomedical Engineer Christopher Chen Elected to National Academy of Medicine
Christopher Chen, the William F. Warren Distinguished Professor of BME and MSE has been elected to the National Academy of Medicine.
Seven ENG Faculty Honored for Real-World Impact Research
The annual Ignition Awards honor innovative BU projects that are ready to make the move toward commercialization, from the research phase to consumer use. Given by BU Technology Development within the University’s Office of Research, the awards come with financial backing, as well as a dedicated advisory committee to provide expertise, mentoring, and oversight to […]
Illuminating Energy-Efficient AI
Supported by a $1.5M NSF grant, Professor Ajay Joshi is exploring the development of novel electro-photonic computing architectures that could perform as well or better than conventional electronic GPUs.
A Living Internet of Things
ECE faculty characterize new class of devices, invite participation.