“NewRAMP will develop innovative approaches that quantify the risk of individual Electric-Power-Grid-interconnected assets based on their performance and ability to deliver market cleared capacity and energy,” explains Prof. Caramanis. “By synthesizing ideas and theories from finance and insurance, operations research, power system engineering and electricity market design, NewRAMP will offer ground-breaking methodologies constituting a risk-driven paradigm to achieve higher adoption of stochastic resources and a more efficient and reliable system operation. As such, it will contribute to reducing imported energy, reducing energy-related emissions, and improving energy efficiency.”
Category: SE Spotlight-Research
The Hariri Institute for Computing announced their 2020 Spring Research Incubation Awards to faculty who have the potential to define new areas of research; five ECE faculty members are authors or co-authors of these incubation projects.
Inadequate systems to manage the traffic at road intersections are at the root of most car accidents and traffic jams. Autonomous vehicles are being developed to address these traffic management issues. Cassandras’ team is revamping their proposed solution by extending earlier research on optimally controlling autonomous cars crossing an urban intersection.
BU engineers built the culinary bots to test a framework that could improve self-driving cars and other artificial intelligence. Story […]
Research is first to apply animal data to autonomous vehicle navigation
BU researchers observed how moths navigate forests to improve control programs for autonomous aerial drones By Kerry Benson Originally featured […]
A team of researchers led by Professor Calin Belta has developed a new machine-learning framework to teaching a robot, or a team of robots, a high-risk, complex task—a framework that could be applied to a host of tasks.
By Maureen Stanton and Eliza Shaw for CISE First On-Road Demonstration of BU-developed Algorithms Traffic congestion around the world is […]
BU-Harvard Team Wins $1.2M NSF Grant to Improve Women’s Reproductive Health using AI and Machine Learning
Researchers to advance distributed analytics to enhance fertility in families
Fuel cell use could be one of the best ways to mitigate climate change—fuel cells work like batteries, provide efficient power and don’t emit air pollutants. But there are multiple barriers in research and development before they will be available to a commercial market.
Professor Soumendra Basu (ME, MSE) has been working on fuel cells, but, along with everyone else, was stymied by one of those barriers: the material used on the cell’s cathode was unstable and subject to decomposition. For help, he reached out to Professor Karl Ludwig in the Physics Department.