Bill Messner, John R. Beaver professor of mechanical engineering, recently wrote about advancements in autonomous car technology and about the future of these self-driving vehicles. Messner opined that “the prospect of greatly reducing accidents, injuries and deaths due to reckless driving, drunk driving, distracted driving, impaired driving, speeding and road rage means that increasingly automated cars will be a fact of life in the years ahead.”
Engineers at Tufts invented a thread that wirelessly collects real-time diagnostic data when sutured into tissue. The thread-based diagnostic platform could be an effective substrate for a new generation of implantable diagnostic devices and smart wearable systems. The research was published in the journal Microsystems & Nanoengineering and has been featured in a number of media outlets, including The Economist, WBUR, IEEE Spectrum, and STAT.
Authors included Tufts alumni Pooria Mostafal and Kyle Alberti, who were PhD students at the time of the research; Assistant Professor Qiaobing Xu of the Department of Biomedical Engineering; and Associate Professor Sameer Sonkusale of the Department of Electrical and Computer Engineering, alongside colleagues from Harvard Medical School’s Biomaterials Innovation Research Center, the Harvard-MIT Division of Health Science and Technology, and Harvard University’s Wyss Institute for Biologically Inspired Engineering.
“In general, robots should never perform illegal actions, nor should they perform legal actions that are not desirable. Hence, they will need representations of laws, moral norms and even etiquette in order to be able to determine whether the outcomes of an instructed action, or even the action itself, might be in violation of those principles,” Scheutz writes.
Assistant Professor Erica Kemmerling writes for The Conversation about fabricating physical models to study how cardiovascular devices affect blood flow. Now 3D printing technology is advanced enough to build realistic models of human blood vessels, and pulsatile-flow pumps can drive flow through these vessels to mimic the heart’s pumping. Since the vessel models are synthetic, there are no ethical issues associated with damaging them to take flow measurements.
Computer Science Professor Rob Jacob and doctoral student Beste Filiz Yuksel’s BACh System — Brain Automated Chorales – helps beginners learn to play Bach chorales on piano by measuring how hard their brains are working. It only offers a new line of music to learn when the brain isn’t working too hard, avoiding information overload. BACh estimates the brain’s workload using functional Near-Infrared Spectroscopy (fNIRS), a technique that measures oxygen levels in the brain. Read more of the story in New Scientist magazine.
Professor and Chair Soha Hassoun was one of three recipients of an 2015 Ideas Competition award. The Ideas Competition, hosted by Tufts Gordon Institute, is designed for early-stage business ideas. Hassoun’s project “TRAG: At-Home Diagnostics System and App for Tracking the Gut Microbiota” seeks to allow individuals to easily and frequently track and assess the impact of diet, including prebiotics and probiotics, on the gut microbiota. “The global market for prebiotics and probiotics is expected to grow steadily in the next 5 years,” says Hassoun. “There is currently no sure way of predicting and tracking the benefits of these products.”
Learn more about the Ideas Competition and enter the Tufts $100K New Ventures Competition.
On December 13, 2015, Professor Bill Messner spoke with the the Boston Metro about the possibility of driverless trains in the public transportation system, commenting on the recent “Ghost Train” mishap where a Red Line train left a T station without its driver. “From a technology standpoint, it’s certainly doable. It’s a question of expense, really, and of course public acceptance of autonomous trains.” Messner commented that the MBTA is not a good case for “robotic retrofitting” because it was never designed to be an autonomous system.
Researchers from Tufts University and the U.S. Army Natick Soldier Research, Development, and Engineering Center (NSRDEC) are joining forces to advance our understanding of how people think, function, and interact in demanding environments. This new center represents a collaborative partnership in cognitive science research co-directed and co-managed by researchers from both institutions.
“We hope to increase understanding of how individuals and teams adapt and sustain performance in high-stakes environments,” says Holly A. Taylor, a professor of psychology at Tufts School of Arts and Sciences, an adjunct professor in the Department of Mechanical Engineering, and lead investigator from the Tufts team.
Matthias Scheutz, a professor of computer science at Tufts School of Engineering and co-principal investigator on the center grant, brings yet another dimension to the research when attempting to understand how people interact not only with each other in teams, but with potential robotic partners.
“In the same scenario of searching for an injured person, imagine now that a robot is the navigator,” says Scheutz, “and the rest of its human teammates are interacting with that robot from a safe distance out of the fray. How might that team work together in a high-stress environment? How could we improve that collaboration?” These questions need answering as robots become an ever-increasing presence on the battlefield and in everyday life, adds Scheutz who directs the Human-Robot Interaction Lab.
Each year, the Tufts University Alumni Association (TUAA) recognizes members of the senior class for academic achievement, participation in campus and community activities, and leadership. Twelve students are chosen from a pool of nominees for the TUAA Senior Award. This year’s cohort of Senior Award Honorees includes two engineering students: Briana Bouchard and Laura Burns.
Briana Bouchard will graduate with a Bachelor of Science degree in mechanical engineering. Bouchard served as Corporate Relations Chair and Publicity Chair for Tufts Society for Women Engineers, Tufts Admissions Tour Guide and Engineering Panelist, Senior Representative and Academic Chair for the American Society of Mechanical Engineers, Residential Assistant for Tufts University Office of Residential Life. As a researcher, she designed a medical device to assist in the insertion of IV catheters in babies and children, was part of a team that designed an award winning audio speaker, and has researched the use of silk for breast implants for women who have had mastectomies.
Laura Burns will graduate with a Bachelor of Science degree in biomedical engineering. At Tufts, Burns was a Stern Family Scholar, was on the Dean’s List all semesters, a member of Tau Beta Pi (Engineering National Honor Society), President and Board Member of the Tufts University Engineering Student Council, Secretary and Board Member for Tufts University Society for Women Engineers, Captain of the Varsity Swim Team, and a volunteer at Tufts University Admissions Office. Burns was a research assistant in Assistant Professor Lauren Black’s Lab, where she worked with tissue engineering of cardiac tissue and design of an optical device to measure the thickness of delicate tissues.
Today, the Institute for Regenerative Medicine at Wake Forest University School of Medicine announced that the second phase of the Armed Forces Institute of Regenerative Medicine (AFIRM) project will move ahead with involvement from researchers on Stern Family Professor David Kaplan’s biomedical engineering team. The five-year, $75 million federally funded project focuses on applying regenerative medicine to battlefield injuries.
Anthony Atala, M.D., director of the Wake Forest Institute for Regenerative Medicine, is the lead investigator for AFIRM-II. He will direct a consortium of more than 30 academic institutions, including Tufts School of Engineering, and industry partners.
In the first phase of AFIRM, which began in 2008, Kaplan’s group looked at soft tissue reconstruction and peripheral nerve repair research. During this phase, Kaplan will focus on muscle regeneration.