Neurophysiological Closed-Loop Control for Competitive Multi-brain Robot Interaction. - Bryan Hernandez-Cuevas; Elijah Sawyers; Landon Bentley; Chris S. Crawford; Marvin Andujar (AHFE (11), 2019)

Changing Minds: Exploring Brain-Computer Interface Experiences with High School Students. - Bryan Hernandez-Cuevas; William Egbert; André R. Denham; Ajay Mehul; Chris S. Crawford (CHI Extended Abstracts, 2020)

Towards Web-based Environments for Prototyping Social Robot Applications. - Brisaac Johnson; Bryan Y. Hernández-Cuevas; Utkarsh Singh; Chris S. Crawford; Vishesh Vikas; André R. Denham (HRI (Companion), 2021)

Towards Applying Real Time Physiological Data and Gamification to Machine Learning Educational Systems. - Bryan Y. Hernández-Cuevas; Chris S. Crawford (SIGCSE, 2021)

A Literature Review of Physiological-Based Mobile Educational Systems. - Bryan Y. Hernández-Cuevas; Chris S. Crawford (IEEE Trans. Learn. Technol., 2021)

MTeacher: A Gamified and Physiological-Based Web Application Designed for Machine Learning Education. - Bryan Y. Hernández-Cuevas; Chris S. Crawford (HCI (7), 2022)

PhysioML: A Web-Based Tool for Machine Learning Education with Real-Time Physiological Data. - Bryan Y. Hernández-Cuevas; Myles Lewis; Wesley Junkins; Chris S. Crawford; André R. Denham; Feiya Luo (SIGCSE (1), 2025)