Associate Professor Remco Chang, students, and collaborators at Maine Medical Center (MMC) created a project to investigate how older men with prostate cancer use visualizations to better understand their own health risk information. Chang, master’s student Anzu Hakone, E16, recent graduate Nate Winters, E16, doctoral recipient Alvitta Ottley, EG16, postdoctoral researcher Lane Harrison, and MCC collaborators Dr. Paul Han and Caitlin Gutheil have a paper entitled “PROACT: Iterative Design of a Patient-Centered Visualization for Effective Prostate Cancer Health Risk Communication” appearing at the 2016 IEEE InfoVis conference. The web-based visualization prototype, PROACT, supports patients to learn about their cancer risk and the possible side effects of different treatment options.
Assistant Professor Fahad Dogar and doctoral student Osama Haq are working on providing a suitable network support for emerging real-time applications (e.g., virtual reality). They are exploring how the highly reliable, but expensive, cloud network infrastructure could be combined with the best-effort, but cheaper, Internet paths. The goal is to provide guaranteed bandwidth and low-latency for such applications. The preliminary idea and feasibility of this work appeared in ACM HotNets 2015. The ongoing research in this project also involves collaborators from Boston University’s Department of Computer Science.
A paper by doctoral student Diogenes Nunez, senior Remy Wang, and Professor and Chair Kathleen Fisher, entitled “AUTOBAHN: Using Genetic Algorithms to Infer Strictness Annotations,” will appear at the 2016 Haskell Symposium. This work, which started as a project in Associate Professor Norman Ramsey’s functional programming class, tackles the long-standing problem of how to improve the performance of Haskell programs by telling the compiler which program fragments should be evaluated eagerly. Currently, inserting the appropriate annotations is a black art, known only to expert Haskell programmers. The Autobahn tool developed by Nunez and Wang automatically suggests appropriate places to put annotations to improve a number of performance metrics.
With water quality in Rio de Janeiro in the news, Assistant Professor Daniele Lantagne wrote for The Conversation on the failure to adequately treat and dispose of wastewater. The conversation about Rio, Lantagne says, is often missing a key contextual detail: this is a common problem across the globe, requiring innovation and alternative approaches.
Lantagne also recently spoke to the New York Times on recent audits of UN mission sites’ sanitation practices.
Civil and Environmental Engineering Professor Dan Kuchma (pictured) and collaborators such as Professor of the Practice Eric Hines are part of the Tufts University team named by the Massachusetts Clean Energy Center as one of six academic and research institutions that will receive $300,000 in funding to explore offshore wind. The Massachusetts Research Partnership for Offshore Wind — including Northeastern University, University of Massachusetts Amherst, University of Massachusetts Dartmouth, University of Massachusetts Lowell and Woods Hole Oceanographic Institution — will develop a multidisciplinary framework for offshore wind research, focusing on increasing innovation within projects and reducing costs by examining risks, finances and regulations associated with the industry.
“Tufts has made transformative impacts on our understanding of natural hazards, climate change, energy and infrastructure. As we contemplate the infrastructure challenge of developing 21st century energy resources, we are excited to work closely with our partners across engineering, policy and industry to advance a systems level approach to this important undertaking,” said Kuchma.
Each year, the Summer Scholars Program awards funding to a select group of rising juniors and seniors from across Tufts academic disciplines, to carry out ten-week independent research projects. This summer, we’ll be profiling three engineering students as they work on their projects.
Name: Jenny Skerker
Hometown: Lexington, MA
Major: Environmental engineering, E17
Faculty mentor: Associate Professor John Durant
Project: Over the last several years, you might have seen a Tufts RV driving around Boston. That RV, operated by Tufts CEE graduate students and equipped with fast-response air pollution monitoring equipment, was collecting data on air quality throughout the city. Skerker will bring some of that data into an analysis program called AERMOD to model air dispersal patterns from the northbound and southbound Central Artery Tunnel exits beneath downtown Boston — a particular focus that hasn’t been studied before. “My question that I’ll be trying to answer,” Skerker says, “is: where is this pollution going [when it exits the tunnel]? Does it affect neighboring communities? What’s the downwind direction?”
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.”
The IEEE is the world’s largest association of technical professionals, with the objectives of the educational and technical advancement of electrical and electronic engineering, telecommunications, computer engineering, and allied disciplines. Of the IEEE’s more than 415,000 members, fewer than eight percent hold this honor.
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.