Enabling a Quantum Monte Carlo application for the DEEP architecture. - Andrew Emerson; Fabio Affinito (HPCS, 2015)

Gaze-Enhanced Student Modeling for Game-based Learning. - Andrew Emerson; Robert Sawyer; Roger Azevedo; James C. Lester (UMAP, 2018)

Improving Sensor-Based Affect Detection with Multimodal Data Imputation. - Nathan L. Henderson; Andrew Emerson; Jonathan P. Rowe; James C. Lester (ACII, 2019)

Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments. - Andrew Emerson; Andy Smith; Cody Smith; Fernando J. Rodríguez; Wookhee Min; Eric N. Wiebe; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (EDM, 2019)

Predictive Student Modeling in Educational Games with Multi-Task Learning. - Michael Geden; Andrew Emerson; Jonathan P. Rowe; Roger Azevedo; James C. Lester (AAAI, 2020)

Detecting Off-Task Behavior from Student Dialogue in Game-Based Collaborative Learning. - Dan Carpenter; Andrew Emerson; Bradford W. Mott; Asmalina Saleh; Krista D. Glazewski; Cindy E. Hmelo-Silver; James C. Lester (AIED (1), 2020)

Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models. - Andrew Emerson; Nathan L. Henderson; Jonathan P. Rowe; Wookhee Min; Seung Y. Lee; James Minogue; James C. Lester (AIED (1), 2020)

Early Prediction of Visitor Engagement in Science Museums with Multimodal Learning Analytics. - Andrew Emerson; Nathan L. Henderson; Jonathan P. Rowe; Wookhee Min; Seung Y. Lee; James Minogue; James C. Lester (ICMI, 2020)

Cluster-Based Analysis of Novice Coding Misconceptions in Block-Based Programming. - Andrew Emerson; Andy Smith; Fernando J. Rodríguez; Eric N. Wiebe; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (SIGCSE, 2020)

Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models. - Andrew Emerson; Michael Geden; Andy Smith; Eric N. Wiebe; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (UMAP, 2020)

Multimodal learning analytics for game-based learning. - Andrew Emerson; Elizabeth B. Cloude; Roger Azevedo; James C. Lester (Br. J. Educ. Technol., 2020)

Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits. - Andrew Emerson; Nathan L. Henderson; Wookhee Min; Jonathan P. Rowe; James Minogue; James C. Lester (AIED (2), 2021)

Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science. - Xiaoyi Tian 001; Joseph B. Wiggins; Fahmid Morshed Fahid; Andrew Emerson; Dolly Bounajim; Andy Smith; Kristy Elizabeth Boyer; Eric N. Wiebe; Bradford W. Mott; James C. Lester (AIED (2), 2021)

Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation. - Nathan L. Henderson; Wookhee Min; Andrew Emerson; Jonathan P. Rowe; Seung Y. Lee; James Minogue; James C. Lester (EDM, 2021)

Exploring Novice Programmers' Hint Requests in an Intelligent Block-Based Coding Environment. - Joseph B. Wiggins; Fahmid M. Fahid; Andrew Emerson; Madeline Hinckle; Andy Smith; Kristy Elizabeth Boyer; Bradford W. Mott; Eric N. Wiebe; James C. Lester (SIGCSE, 2021)

Progression Trajectory-Based Student Modeling for Novice Block-Based Programming. - Fahmid Morshed Fahid; Xiaoyi Tian 001; Andrew Emerson; Joseph B. Wiggins; Dolly Bounajim; Andy Smith; Eric N. Wiebe; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (UMAP, 2021)

Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection. - Michael Geden; Andrew Emerson; Dan Carpenter; Jonathan P. Rowe; Roger Azevedo; James C. Lester (Int. J. Artif. Intell. Educ., 2021)

Predicting User Confidence in Video Recordings with Spatio-Temporal Multimodal Analytics. - Andrew Emerson; Patrick Houghton; Ke Chen; Vinay Basheerabad; Rutuja Ubale; Chee Wee Leong (ICMI Companion, 2022)

Affective Dynamics and Cognition During Game-Based Learning. - Elizabeth B. Cloude; Daryn A. Dever; Debbie L. Hahs-Vaughn; Andrew Emerson; Roger Azevedo; James C. Lester (IEEE Trans. Affect. Comput., 2022)

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. - Gianluca Palermo; Gianmarco Accordi; Davide Gadioli; Emanuele Vitali; Cristina Silvano; Bruno Guindani; Danilo Ardagna; Andrea Rosario Beccari; Domenico Bonanni; Carmine Talarico; Filippo Lunghini; Jan Martinovic; et al. (CF, 2023)

Multimodal Predictive Student Modeling with Multi-Task Transfer Learning. - Andrew Emerson; Wookhee Min; Jonathan P. Rowe; Roger Azevedo; James C. Lester (LAK, 2023)

LIGATE - LIgand Generator and portable drug discovery platform AT Exascale. - Gianluca Palermo; Gianmarco Accordi; Davide Gadioli; Yuedong Zhang; Emanuele Vitali; Bruno Guindani; Danilo Ardagna; Cristina Silvano; Andrea Rosario Beccari; Domenico Bonanni; Carmine Talarico; Filippo Lunghini; et al. (CF (Companion), 2024)

Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence. - Andrew Emerson; Arti Ramesh; Patrick Houghton; Vinay Basheerabad; Navaneeth Jawahar; Chee Wee Leong (EDM, 2024)

Combining Generative and Discriminative AI for High-Stakes Interview Practice. - Chee Wee Leong; Navaneeth Jawahar; Vinay Basheerabad; Torsten Wörtwein; Andrew Emerson; Guy Sivan (ICMI Companion, 2024)

Investigating the Impact of Confusion and Agency on Motivation in a Game-Based Learning Environment. - Dmitri Droujkov; Andrew Emerson; Dan Carpenter; Xiaoyi Tian 001; Roger Azevedo; Tiffany Barnes (AIED (3), 2025)