Recognition of driver's distraction based on facial thermal videos by deep learning. - Poorya Aghaomidi; Zahra Bahmani; Amin Mohammdian (IEEECONF, 2022)

DeepRTSNet: Deep Robust Two-Stage Networks for ECG Denoising in Practical Use Case. - Poorya Aghaomidi; Amir Mohammadisarab; Jalil Mazloum; Mohammad Ali Akbarzadeh; Mahdi Orooji; Nader Mokari; Halim Yanikomeroglu (IEEE Access, 2022)

DeepRTSNet: Deep Robust Two-Stage Network for Practical Wearable ECG Recorders Denoising under Severe Noise Corruption and Various Physiologies. - Poorya Aghaomidi; Amir Mohammadisarab; Jalil Mazloum; Mohammad Ali Akbarzadeh; Mahdi Orooji; Nader Mokari; Halim Yanikomeroglu (IEEE DataPort, 2022)

ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals. - Poorya Aghaomidi; Ge Wang (CoRR, 2024)

Contemplate on ECG signal and enhanced automatic cognitive workload estimation using cost-effective and robust method. - Shima Mohammadi; Poorya Aghaomidi; Peyvand Ghaderyan (Comput. Electr. Eng., 2025)

MSLSNet: A combination of multi-task self-supervised learning and Swin transformer network for face and keypoint detection in thermal images. - Poorya Aghaomidi; Fatemeh Mirzaei; Zahra Bahmani (Expert Syst. Appl., 2025)