In the News

Note: Some media outlets require users to log-in. The Gordon Library offers the WPI community free access to a number of newspapers. Visit newspaper database for details.  

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Holiday shopping: Tips for using AI to compare prices and get gift inspiration

How can AI tools help consumers find the best deals and tackle the holiday shopping list? Associate Professor of marketing Purvi Shah spoke with NBC Boston about the technology driving retail transformation. "AI can help you compare products and prices across stores. It can also give you review summaries that can help you evaluate various product options based on those review summaries," Shah said. "All of this is done very efficiently."

Telegram.com

The Telegram & Gazette interviewed Harold L. Jurist ’61 and Heather E. Jurist Dean’s Professor of Computer Science Emmanuel Agu about his team’s National Institutes of Health grant to develop an app for health care workers to better assess chronic wounds.

Spectrum News 1

Spectrum News 1 interviewed Emmanuel Agu, professor of computer science, about an app he and his team are developing that will use photographs, thermal imaging, and artificial intelligence to assess severe chronic wounds.

Worcester Business Journal

The Worcester Business Journal reported on WPI and the University of Massachusetts Lowell partnering to award more than $111,000 in seed funding to six different teams, focusing on work ranging from human-robot collaboration to cancer detection and rehabilitation for stroke patients.

Worcester News Tonight

Channel 3 aired a story about DARPA funded work by computer science professors Emmanuel Agu and Elke Rundensteiner to develop a smartphone app to help assess the health of soldiers.

Worcester Business Journal

The Worcester Business Journal reported on work by computer science professors Emmanuel Agu and Elke Rundensteiner to develop a smartphone app to help assess the health of soldiers. 

Diversity in Action

Emmanuel Agu, professor of computer science, was featured in a profile in Diversity in Action on his road to exploring computer science, and how it landed him a teaching position at WPI. "I found that WPI's philosophy of integrating theory with practice matches the way I approach problems," he said. 

BBC

Emmanuel Agu, associate professor of computer science, was interviewed by the BBC regarding his smartphone app that uses machine learning algorithms to analyze a user’s walking pattern to detect alcohol impairment. Uber is seeking to develop an app to allow drivers to gauge passenger’s sobriety.

Worcester Business Journal

The Worcester Business Journal reported on work funded by a $1.6 million grant from the National Institutes of Health to develop a new smartphone app to monitor chronic wounds. The work is led by Emmanuel Agu, associate professor of computer science and coordinator of WPI’s Mobile Graphics Research Group, with co-principal investigators professor Diane Strong and associate professor Bengisu Tulu, both of the Foisie Business School, and Peder Pedersen, a retired professor of electrical and computer engineering.

WGBH

Greater Boston, (which airs on WGBH, Boston’s PBS television station) featured Alcogait—a WPI-developed app that can measure how much a person has had to drink by the way he or she walks.  Emmanuel Agu, associate professor of computer science, designed the app with help from a team of students.

Boston Globe

The Boston Globe reports on WPI’s “AlcoGait,” a first-of-its-kind smartphone app developed by Emmanuel Agu, associate professor of computer science, and students to detect when a user has reached the legal blood alcohol limit. The app uses data from a smartphone’s gyroscope and accelerometer to monitor changes in the way users walk, similar to the common “walk the line” sobriety field test police use with suspected drunk drivers.