Congratulations Alex, Akshit, Mallory, Nipun, Daniel, Aditi, Stephen, Emma, Jonah, Adam, and Ruth!
The Excellence in Teaching in Engineering Award is presented to a faculty member in the School of Engineering in recognition of outstanding classroom teaching of undergraduate and/or graduate students. Srivastava, the Howard M. Reisman ’76, P’09 Assistant Professor of Engineering, teaches Analytical Modeling for Biomechanical and Biomedical Systems (ENGN 2911R) in the fall and Biomechanics (ENGN 1210) in the spring.
Congratulations Francesca, Madison, Lily, Aditya, Zakhar, Alejandro, Apoorva, Olivia, Sawyer, Yamini, Jillian, Victoria, and Daniel!
Congratulations Dr. Lee, Dr. Allawalla, Dr. Lee, and Dr. Deusenbery!
The proposed Seed Award project is rooted in the biomechanics of tissue and scaffold engineering and stems from our ongoing work to develop a robust regenerative therapy for the heart after injury caused by a heart attack, or myocardial infarction (MI).
Intelligent Spine Interface (ISI) researchers David Borton, Ph.D, and Jared Fridley, M.D., presented their research to the U.S. Congress at the Defense Advanced Research Projects Agency’s (DARPA) 2023 Demo Day. Researchers presented their work in Washington, D.C. on April 18 to the U.S. Senate and on April 19 to the U.S. House of Representatives.
Usherwood is currently a Ph.D. student in medical engineering and medical physics at the Harvard-MIT Program in Health Sciences and Technology.
By adding artificial intelligence models to the existing closed-loop technology, Lee and Asaad seek to first predict and then address multiple symptoms of Parkinson’s all at once and on a rapid timescale. Laiwalla's novel technology has the potential to enable access to visual processing in an unprecedented way and is anticipated to transform how we address profound visual impairment.
Cel Welch, a Brown biomedical engineering Ph.D. candidate, has been named to the American Chemical Society’s Chemical Abstract Service (CAS) Future Leaders program. Welch is one of 35 elite Ph.D. students and postdoctoral scholars to receive the prestigious award that supports the growth of science leadership potential of early-career scientists.
A team of biomedical engineers in the Tripathi Lab for Microfluidic Diagnostics & Biomedical Engineering at the University published a paper last month detailing the results of a two-year study that developed a more efficient technique to detect the level of antidepressants in biological samples.