Sayed Alireza Sadrossadat

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attention Mechanism Combined With Deep Recurrent Network for Nonlinear Circuit Macromodeling.
IEEE Trans. Circuits Syst. I Regul. Pap.
Sina Soleimani, Sayed Alireza Sadrossadat, Weicong Na, Qi-Jun Zhang
2025 J jnl
Long Short-Term Memory Neural Network Combined With a Hybrid-Modular Clockwork Structure for Transient Modeling of Nonlinear Circuits.
IEEE Access
Razieh Moradi Chaleshtori, Amin Saboohi, Amin Faraji, Sayed Alireza Sadrossadat, Ali Moftakharzadeh, Yvon Savaria
2024 J jnl
DNN-Based Optimization to Significantly Speed Up and Increase the Accuracy of Electronic Circuit Design.
IEEE Trans. Circuits Syst. I Regul. Pap.
Sayed Alireza Sajjadi, Sayed Alireza Sadrossadat, Ali Moftakharzadeh, Morteza Nabavi, Mohamad Sawan
2024 J jnl
High-Speed Nonlinear Circuit Macromodeling Using Hybrid-Module Clockwork Recurrent Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap.
Fatemeh Charoosaei, Amin Faraji, Sayed Alireza Sadrossadat, Ali Mirvakili, Weicong Na, Feng Feng, Qi-Jun Zhang
2024 J jnl
Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling.
IEEE Trans. Circuits Syst. I Regul. Pap.
Amin Faraji, Sayed Alireza Sadrossadat, Jing Jin, Weicong Na, Feng Feng, Qi-Jun Zhang
2024 J jnl
Macromodeling of Nonlinear High-Speed Circuits Using Novel Hybrid Bidirectional High-Order Deep Recurrent Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap.
Saeedeh Zebhi, Sayed Alireza Sadrossadat, Weicong Na, Qi-Jun Zhang
2024 J jnl
Nonlinear Circuit Macromodeling Using New Heterogeneous-Layered Deep Clockwork Recurrent Neural Network.
IEEE Access
Maedeh Azodi, Sayed Alireza Sadrossadat, Yvon Savaria
2024 J jnl
Yield Maximization of Flip-Flop Circuits Based on Deep Neural Network and Polyhedral Estimation of Nonlinear Constraints.
IEEE Access
Sayed Alireza Sajjadi, Sayed Alireza Sadrossadat, Ali Moftakharzadeh, Morteza Nabavi, Mohamad Sawan
2023 J jnl
A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits.
IEEE Trans. Circuits Syst. I Regul. Pap.
Amin Faraji, Sayed Alireza Sadrossadat, Weicong Na, Feng Feng, Qi-Jun Zhang
2023 J jnl
Modeling and implementation of a novel active voltage balancing circuit using deep recurrent neural network with dropout regularization.
Int. J. Circuit Theory Appl.
Mostafa Noohi, Amin Faraji, Sayed Alireza Sadrossadat, Ali Mirvakili, Ali Moftakharzadeh
2022 J jnl
A Hybrid Approach Based on Recurrent Neural Network for Macromodeling of Nonlinear Electronic Circuits.
IEEE Access
Amin Faraji, Sayed Alireza Sadrossadat, Mahdi Yazdian Dehkordi, Morteza Nabavi, Yvon Savaria
2022 J jnl
Adjoint recurrent neural network technique for nonlinear electronic component modeling.
Int. J. Circuit Theory Appl.
Zohreh Naghibi, Sayed Alireza Sadrossadat, Saeed Safari
2021 J jnl
Cover Image.
Int. J. Circuit Theory Appl.
Mostafa Noohi, Ali Mirvakili, Sayed Alireza Sadrossadat
2021 J jnl
Modeling and implementation of nonlinear boost converter using local feedback deep recurrent neural network for voltage balancing in energy harvesting applications.
Int. J. Circuit Theory Appl.
Mostafa Noohi, Ali Mirvakili, Sayed Alireza Sadrossadat
2019 J jnl
Dynamic behavioral modeling of nonlinear circuits using a novel recurrent neural network technique.
Int. J. Circuit Theory Appl.
Zohreh Naghibi, Sayed Alireza Sadrossadat, Saeed Safari
2009 — conf
Framework for statistical design of a flip-flop.
ICECS
Sayed Alireza Sadrossadat, Minoo Mirsaeedi, Kumaraswamy Ponnambalam, Mohab H. Anis