Increasing Engagement in Online Classrooms with Augmented Reality Filters. - David P. Eisenberg; Michael Jongseon Lee; Tanmoy Sarkar Pias (J. Comput. Sci. Coll., 2022)

M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity. - Sumya Akter; Rumman Ahmed Prodhan; Tanmoy Sarkar Pias; David Eisenberg 002; Jorge Eduardo Fresneda Fernandez (Sensors, 2022)

Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors. - Tanmoy Sarkar Pias; David Eisenberg 002; Jorge Eduardo Fresneda Fernandez (Sensors, 2022)

Responsible Digital Innovation in Dark: Toward Access-Control-Transparency Theory. - Kaveh Abhari; Bo Sophia Xiao; David Eisenberg 002 (AMCIS, 2023)

Neuromarketing Techniques to Enhance Consumer Preference Prediction. - David Eisenberg 002; Tanmoy Sarkar Pias; Jorge E. Fresneda; Jerry Fjermestad (HICSS, 2024)

Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction. - Simon Bin Akter; Sumya Akter; Moon Das Tuli; David Eisenberg 002; Aaron Lotvola; Humayera Islam; Jorge Eduardo Fresneda Fernandez; Maik Hüttemann; Tanmoy Sarkar Pias (Comput. Biol. Medicine, 2025)

Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network. - Simon Bin Akter; Sumya Akter; Rakibul Hasan; Md. Mahadi Hasan; David Eisenberg 002; Riasat Azim; Jorge Eduardo Fresneda Fernandez; Tanmoy Sarkar Pias (Comput. Methods Programs Biomed., 2025)

Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach. - Simon Bin Akter; Sumya Akter; Rakibul Hasan; Md. Mahadi Hasan; A. M. Tayeful Islam; Tanmoy Sarkar Pias; Jorge Eduardo Fresneda Fernandez; Md. Golam Rabiul Alam; David Eisenberg 002 (J. Biomed. Informatics, 2025)