As students commenced their Brown academic careers, President Christina H. Paxson and Dean of the School of Engineering Tejal Desai urged them to seek out new perspectives and immerse themselves in research.
By nurturing interest in math, a weeklong program led by Brown's mathematics institute aims to expand interest and access to STEM career opportunities for young women.
With a dual appointment in engineering and computer science, Associate Professor Nora Ayanian looks at solutions for end-to-end multi-robot coordination – that is, making a team of robots work without roboticists on hand to monitor their progress.
The lab of George Karniadakis, professor of applied mathematics and engineering, leads the charge of developing physics-informed neural networks to diagnose and predict the severity of arterial aneurysms.
The new process, which is more effective and efficient than conventional methods, has the potential to significantly impact cancer diagnostics as well as other fields of research.
Building and executing an experiment to test a novel idea for improving wind turbine efficiency was the senior capstone project of Alex Koh-Bell ’22, funded in part by a spring semester Halpin Prize.
A senior capstone and Halpin Prize winning project of Ilan Upfal ’22.5 focused on optimization strategies for tidal energy capture, an experimental system approached from a signal processing viewpoint.
A new study associated with the BrainGate consortium offered significant clues about how humans learn and form long-term memories; the findings could provide insights for developers of assistive tools for people with paralysis.
The Brown Corporation authorized a process to select an architect and launch a full programming phase for the building, a critical step in a long-held vision to create new laboratory space for cutting-edge life sciences research.
For the second time in four months, engineers at Brown convene a group of scholars and experts to examine achievable home-based technologies for the next decade.
A new material developed at Brown University can respond to the presence of bacterial enzymes by releasing a cargo of therapeutic nanoparticles, which could prove particularly helpful in wound dressings.
Brown Engineering has named North Carolina State professor Christine Grant ’84 and University of California, Berkeley professor Lisa Pruitt Sc.M. ’90, Ph.D. ’93 as its 2022 Brown Engineering Alumni Medal (BEAM) winners. The presentation of the BEAM medals took place at the annual engineering awards dinner held over Commencement and Reunion weekend.
Scholars from Rice and Brown universities say that next-generation wireless networks that use the technology could be designed with built-in defenses against the ‘metasurface-in-the-middle’ attack.
A self-propelled robotic swimmer, developed by Brown University students and faculty, could help researchers better understand the complex swimming behaviors of bacteria and other microorganisms.
Pulse oximeters often provide inaccurate readings for people with darker skin, a significant health disparity that physics Ph.D. student Rutendo Jakachira is working to eliminate.
With a massive shift under way toward more home-based health care delivery, more than 90 medical professionals and technologists gathered virtually to explore the challenges and opportunities that change presents.
Thirty-two Brown researchers, including six from the School of Engineering, are receiving University research awards through 21 Research Seed grants, totaling $1M.
A new 3D connective tissue model gives researchers a sophisticated tool to understand the underlying mechanisms of connective tissue disorders and test potential treatments.
Tejal Desai, a professor and researcher who has led academic programs at the University of California San Francisco, Boston University and elsewhere, will work to expand collaborative engineering research and teaching.
The discovery of electrical signals in the brain associated with OCD could enable an emerging type of adaptive deep brain stimulation therapy as an improved treatment.
With the help of an advanced machine learning technique, researchers from Brown University suggest strategies for improving the performance of epidemiological models used to predict the course of pandemics.