Erin T. Solovey, Ph.D.
Assistant Professor of Computer Science
Affiliated Programs: Computer Science, Neuroscience, Interactive Media & Games, Bioinformatics & Computational Biology, Robotics Engineering
WPI Research opportunities: I am currently recruiting motivated Ph.D., Masters and undergraduate students interested in Human-Computer Interaction research. Contact me if interested. Read more...
WBZ4 CBS News profiled our research: 'Thinking Cap' Study Could Improve Online Learning
Erin T. Solovey, Ph.D.
Dr. Solovey is an Assistant Professor of Computer Science at Worcester Polytechnic Institute. Her research expertise is in human-computer interaction, with a focus on accessibility and emerging interaction techniques, such as brain-computer interfaces. Her work has applications in areas including STEM education, Deaf education, health, driving, aviation, gaming, complex decision making, as well as human interaction with autonomous systems and vehicles. Solovey is committed to improving STEM education and broadening participation in computing.
Dr. Solovey’s research is funded by the National Science Foundation and she has received several awards including the NSF/CRA Computing Innovation Fellowship and three CHI Best Paper Award Honorable Mentions, and her work has been covered in MIT Technology Review, Slashdot, Engadget and others. She was previously a postdoctoral fellow at MIT and an Assistant Professor of Computer Science at Drexel. She received her bachelor’s degree in computer science from Harvard University, and her M.S. and Ph.D. in computer science from Tufts University. She also has conducted research at MIT Lincoln Laboratory and Microsoft Research. Previously, she was a software engineer at Oracle, and also has experience at several startups.
NEWS & UPDATES
July, 2020: Coming soon in the International Journal of Human Computer Studies: CODA: Mobile Interface for Enabling Safer Navigation of Unmanned Aerial Vehicles in Real-World Settings" with Kim Jackson Ryan and Missy Cummings.
May, 2020: Coming soon in the Journal on Multimodal User Interfaces: "fNIRS-based classification of mind-wandering with personalized window selection for multimodal learning interfaces" with Ruixue Liu, Erin Walker, Leah Friedman, and Kate Arrington.
May, 2020: New paper accepted to IEEE Access on "RF Cloud for Cyberspace Intelligence" with Kaveh Pahlavan, Julang Ying, Ziheng Li, John Loftus, and Zehua Dong.
April, 2020: Our paper (with Deniz Sonmez Unal, Kate Arrington and Erin Walker) titled "Using Thinkalouds to Understand Rule Learning and Cognitive Control Mechanisms within an ITS" was accepted to the International Conference on Artificial Intelligence in Education (AIED), which will be held in July.