Decoding a Neurofeedback-Modulated Cognitive Arousal State to Investigate Performance Regulation by the Yerkes-Dodson Law. - Saman Khazaei; Md. Rafiul Amin; Rose T. Faghih (EMBC, 2021)

Decoding a Neurofeedback-Modulated Performance State in Presence of a Time-Varying Process Noise Variance. - Saman Khazaei; Md. Rafiul Amin; Rose T. Faghih (IEEECONF, 2022)

A Point-Process Approach for Tracking Valence using a Respiration Belt. - Revanth Reddy; Saman Khazaei; Rose T. Faghih (EMBC, 2023)

A Bayesian Filtering Approach for Tracking Sympathetic Arousal and Cortisol-Related Energy From Marked Point Process and Continuous-Valued Observations. - Dilranjan S. Wickramasuriya; Saman Khazaei; Roozbeh Kiani; Rose T. Faghih (IEEE Access, 2023)

An Adaptive Marked Point Process Filtering Approach for Decoding Cognitive Performance. - Saman Khazaei; Rose T. Faghih (IEEECONF, 2024)

Decoding a Hidden Energy State Based on Marked Point Process Cortisol Secretory Events During Cardiac Surgery. - Saman Khazaei; Rose T. Faghih (HealthCom, 2024)

Skin Conductance Response Artifact Reduction: Leveraging Accelerometer Noise Reference and Deep Breath Detection. - Md. Rafiul Amin; Samiul Alam; Saman Khazaei; Hamid Fekri Azgomi; Rose T. Faghih (IEEE Access, 2024)