GW Engineering "Best of GW Faculty Lectures"Alumni & Families Weekend
Immerse yourself in the GW classroom experience at our Best of GW lectures! Join our world-renowned faculty for our most engaging, student-favorite lectures. Learn about the lectures below:
"Human versus Machine: AI in Transportation Engineering"
11:00 - 11:30 am
Presenter: Samer Hamdar, Associate Professor of Civil and Environmental Engineering
With the improvements in sensing, storage, and communication technologies, transportation has become the leading domain application that is associated with big data and Artificial Intelligence (AI). Such applications include roadway traffic detection and control, driver behavior monitoring and vehicle automation. The George Washington University Transportation Engineering Program will offer sample demonstrations of these applications that were developed by our researchers to solve some of the latest problems seen on our roadways.
"Ultrasound stimulation of insulin release as a potential treatment for Type 2 diabetes"
11:45 am - 12:15 pm
Presenter: Vesna Zderic, Professor and Chair of the Biomedical Engineering Department
Type 2 diabetes is a complex metabolic disease that has reached epidemic proportions. Pharmacological management of type 2 diabetes routinely requires complex therapy with multiple medications and loses its effectiveness over time. New modes of therapy are needed that can target directly the underlying causes of abnormal glucose metabolism. The objective of our research work is to explore a novel, non-pharmacological approach that utilizes the application of ultrasound energy to safely augment insulin release from pancreatic beta cells.
Memristor chips: Inspired by the brain, forged in the nanofab
12:30 - 1:00 pm
Presenter: Gina Adam, Assistant Professor of Electrical and Computer Engineering
The rise in artificial intelligence and other big-data applications requires exponential amounts of computing capabilities and energy-efficient hardware. Brain-inspired computing chips offer promise as the brain is orders of magnitude more efficient than the computers we have today. New types of nanoscale devices, such as memristors, can help in this quest but challenges remain regarding their design and nanofabrication. In this talk, I will summarize our efforts across the innovation stack, from new types of complex oxides and synaptic memristors to new types of prototyping systems and brain-inspired algorithms.
Register for Alumni & Families Weekend to attend!