Step-Based Tutoring Software for Complex Procedures in Circuit Analysis. - Brian J. Skromme; Srividya K. Bansal; W. M. Barnard; M. A. O'Donnell (FIE, 2019)

Creating Common Instruments to Evaluate Education and Diversity Impacts across Three Engineering Research Centers. - Zhen Zhao; Adam R. Carberry; Wendy Barnard; Alison Cook-Davis; Michelle E. Jordan; Jean S. Larson; Megan O'Donnell; Wilhelmina C. Savenye (FIE, 2019)

IRES Program in Sensors and Machine Learning for Energy Systems. - Kristen Jaskie; Joshua Martin; Sunil Rao; Wendy Barnard; Photini Spanias; Elias Kyriakides; Yiannis Tofis; Lenos Hadjidemetriou; Maria K. Michael; Theocharis Theocharides; Stella K. Hadjistassou; Andreas Spanias (IISA, 2020)

Undergraduate Research and Education in Quantum Machine Learning. - Glen S. Uehara; Jean S. Larson; Wendy Barnard; Michael Esposito; Filippo Posta; Maxwell Yarter; Aradhita Sharma; Niki Kyriacou; Matthew Dobson; Andreas Spanias (FIE, 2022)

The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. - Andreas Spanias; Vivek Sivaraman Narayanaswamy; Erica Forzani; Gregory B. Raupp; Nadia N. Kellam; Megan O'Donnell; Wendy Barnard; Jean S. Larson; Noel E. O'Connor; Nicholas Dunne; Stephen Daniels; Suzanne Little (IISA, 2022)

Introducing Quantum Computing in a Sophomore Signals and Systems Course. - Chao Wang; Aradhita Sharma; Glen S. Uehara; Leslie Miller; Deep Pujara; Wendy Barnard; Jean S. Larson; Andreas Spanias (FIE, 2023)

Step-by-Step Tutoring Support for Student Success in Circuit Analysis Courses. - Brian J. Skromme; Megan A. O'Donnell; Wendy M. Barnard (ACM Great Lakes Symposium on VLSI, 2024)