Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use. - William L. Romine; Noah L. Schroeder; Josephine Graft; Fan Yang; Reza Sadeghi; Mahdieh Zabihimayvan; Dipesh Kadariya; Tanvi Banerjee (Sensors, 2020)

Toward Mental Effort Measurement Using Electrodermal Activity Features. - William L. Romine; Noah L. Schroeder; Tanvi Banerjee; Josephine Graft (Sensors, 2022)

A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students. - Josephine Graft; William L. Romine; Brooklynn Watts; Noah L. Schroeder; Tawsik Jawad; Tanvi Banerjee (Sensors, 2023)