R2AD: Randomization and Reconstructor-based Adversarial Defense on Deep Neural Network. - Marzieh Ashrafiamiri; Sai Manoj Pudukotai Dinakarrao; Amir Hosein Afandizadeh Zargari; Minjun Seo; Fadi J. Kurdahi; Houman Homayoun (MLCAD, 2020)

NEWERTRACK: ML-Based Accurate Tracking of In-Mouth Nutrient Sensors Position Using Spectrum-Wide Information. - Amir Hosein Afandizadeh Zargari; Manik Dautta; Marzieh Ashrafiamiri; Minjun Seo; Peter Tseng; Fadi J. Kurdahi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks. - Seyed Amir Hossein Aqajari; Rui Cao; Amir Hosein Afandizadeh Zargari; Amir M. Rahmani (EMBC, 2021)

Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks. - Milad Asgari Mehrabadi; Seyed Amir Hossein Aqajari; Amir Hosein Afandizadeh Zargari; Nikil D. Dutt; Amir M. Rahmani (EMBC, 2022)

CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. - Amir Hosein Afandizadeh Zargari; Marzieh Ashrafiamiri; Minjun Seo; Sai Manoj Pudukotai Dinakarrao; Mohammed E. Fouda; Fadi J. Kurdahi (Inf., 2023)

An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN. - Amir Hosein Afandizadeh Zargari; Seyed Amir Hossein Aqajari; Hadi Khodabandeh; Amir M. Rahmani; Fadi J. Kurdahi (ACM Trans. Comput. Heal., 2023)