Erin T. Solovey, Ph.D.
Assistant Professor of Computer Science
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's main research area is human-computer interaction, specifically emerging interaction modes and techniques, such as brain-computer interfaces, physiological & wearable computing, affective computing and reality-based interaction. Her work uses machine learning approaches to build adaptive user interfaces that support the user’s changing cognitive state and context. Her work has applications in areas such as health, driving, aviation, privacy, STEM education, gaming, accessibility, 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 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 a postdoctoral fellow in the Humans and Automation Lab (HAL) at MIT, working with Missy Cummings. 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, working in the Human-Computer Interaction Research Group with Robert Jacob. She also has conducted research at MIT Lincoln Laboratory and in the Computational User Experiences group at Microsoft Research with Desney Tan and Dan Morris. Previously, she was a software engineer at Oracle, and also has experience at several startups.
NEWS & UPDATES
July, 2019: Giving keynote talk at Neuroadaptive Technology Conference in Liverpool, England. Also presenting our work "Towards neuroadaptive technology using time warped distances for similarity exploration of brain data" with Jayesh Dubey, Mihin Sumaria, Erden Oktay, Yu Li, Ziheng Li and Rodica Neamtu
May, 2019: Invited talk at UMass Interdisciplinary Neuroscience Conference.
May, 2019: Excited to be awarded WPI-UML seed grant for a collaborative project "Towards Biometric Input for Multi-Agent Adaptive Human-Robot Collaboration" with Rodica Neamtu and Yanhua Li at WPI as well as Holly Yanco, Adam Norton, PeiChun Kao and Winnie Wu from UMass Lowell