Research Labs
The Daisy Lab
Elke Rundensteiner - Professor
Data-Driven Intelligent Systems group is excited to solve the world's most pressing problems. We tackle a wide range of challenges from detecting fraud in systems, uncovering bias in AI models, discovering new materials, screening for mental illness, ensuring fairness in ranked AI decisions, making AI systems transparent and responsible, to extracting valuable insights from social media data.
ASSISTments Lab
Neil Heffernan - Professor
The ASSISTments lab conducts research using Prof. Heffernan's online math learning platforms ASSISTments. We study artificial intelligence in education, educational data mining, and intelligent learning systems. Our most recent work is funded by IES to develop an AI tutor (called CAIT) to help middle-school students learn math while doing homework. As part of this work, we are developing our own Large Language Model (called GOAT) to provide a safe AI experience to our student users in general and to provide tutoring support to lower-income students who have fallen behind. The ASSISTments Lab at WPI is located in Room 320 in Unity Hall with the Learning Sciences & Technology (LS&T) graduate program of which Prof. Heffernan is the program director.
The VIEW Lab
Lane Harrison - Associate Professor
In the VIEW Lab (the Visualization and Information Equity lab at WPI), Professor Harrison and students leverage computational methods to understand and shape how people engage with interactive data visualizations and visual analytics systems. VIEW lab work has been supported by the NSF, the US DoD, and industry.
Clinical AI Research (CARE) Lab
Emmanuel Agu - Professor
The CARE Lab is focused on the intersection of AI and healthcare to tackle critical challenges. Our projects include Smartphone Wound Assessment (SmartWAnDS) to support nurses in analyzing wounds, and Cardiovascular Disease Detection using deep learning to identify conditions. We also focus on Gait Analysis via smartphones to detect intoxication and neurological issues, and on DARPA’s Warfighter Analytics, which assesses health condition. Other research areas include Wearable Infectious Disease Monitoring for early illness detection (e.g., COVID-19) and Neurolinguistic Assessment for mental health tracking. Additionally, our Chronic Pain Management study explores biomarkers to optimize mindfulness interventions for underserved populations with low back pain.
The Cake Lab
Rose Bohrer - Assistant Professor, Mark Claypool – Professor, Jun Dai – Associate Professor, Tian Guo – Associate Professor, Craig Shue – Professor, Sherry Sun – Associate Professor, Robert Walls – Associate Professor, Craig Wills – Professor and Harmony Zhan – Assistant Professor
