Ultra-Low Power SAR ADC Using Statistical Characteristics of Low-Activity Signals. - Hamed Nasiri; Cheng Li 005; Lihong Zhang (IEEE Trans. Very Large Scale Integr. Syst., 2022)

A Successive Approximation Algorithm with Machine Learning for ECG Signals. - Hamed Nasiri; Cheng Li 005; Lihong Zhang (BioCAS, 2023)

A Power-Efficient Successive Approximation Algorithm for Low-Activity Signals. - Hamed Nasiri; Cheng Li 005; Lihong Zhang (PRIME, 2023)

Advanced Performance Estimation of Analog Layouts Using Convolutional Neural Networks. - Mortzea Golzan; Hamed Nasiri; Telex Magloire Nkouatchah Ngatched; Karteek Popuri; Lihong Zhang (ICCP, 2024)

Reinforcement-Learning-Based Successive Approximation Algorithm. - Hamed Nasiri; Cheng Li 005; Lihong Zhang (ISCAS, 2024)

Modeling and Characterization of Triboelectric Nanogenerators for Efficient Renewable Energy Harvesting. - Abel Mwepu Tshimbu; Hamed Nasiri; Sophia Zhang; Ting Zou; Lihong Zhang (NewCAS, 2025)

Machine-Learning-Based SAR ADC Featuring Smart Range Detection for Portable Voice-Activated IoT Devices. - Hamed Nasiri; Cheng Li 005; Lihong Zhang (IEEE Internet Things J., 2025)