PhD Candidate Wins Best Paper Award at IEEE CDC
SE PhD candidate Wei Xiao is the first author on a paper titled “Feasibility-Guided Learning for Constrained Optimal Control Problems.” The piece was published in Proceedings of 59th IEEE Conference on Decision and Control and earned the Outstanding Student Paper Award.
COVID-19 Risk Assessment to Address Inequity
This article was written by Eliza Shaw (CISE), videos produced by SE. Informing Policy, Resource Allocation and Workplace Adjustment Policies Video Part 1: Researching the risk of COVID-19 relates to the patients’ preexisting health conditions and socioeconomics factors. COVID-19 has taken the world by storm, placing significant pressures on healthcare systems. Particularly in countries with limited […]
$3 Million for Transformational Energy Technology
“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.”
Five ECE Faculty are 2020 Spring Research Incubation Awardees
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.
Advancing Smart Cities with the Internet of Cars
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.
Assistive Technologies
Teaching robots to cook.
Moths Teach Drones to Fly
Research is first to apply animal data to autonomous vehicle navigation
Aerial Drones Get Schooled in Navigation by Moths
BU researchers observed how moths navigate forests to improve control programs for autonomous aerial drones By Kerry Benson Originally featured on The Brink A rather unusual situation recently unfolded inside a laboratory—moths playing a “video game,” flitting their wings as they navigated through a virtual forest displayed on a projector screen. Each of the moths’ […]
Robot Reinforcement
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.
Security and Privacy Experts Uncover Hidden Threats You Need to Know About
BU Today, Molly O’Brien Gluck Approximately 70 percent of Americans use social media to connect with one another, engage with news content, and share information. Most users access social media platforms and consume content on their smartphone, just one of the many smart devices we use to monitor our health, fitness, and sleep; secure our homes; tell […]