Framework for statistical design of a flip-flop. - Sayed Alireza Sadrossadat; Minoo Mirsaeedi; Kumaraswamy Ponnambalam; Mohab H. Anis (ICECS, 2009)

Dynamic behavioral modeling of nonlinear circuits using a novel recurrent neural network technique. - Zohreh Naghibi; Sayed Alireza Sadrossadat; Saeed Safari (Int. J. Circuit Theory Appl., 2019)

Cover Image. - Mostafa Noohi; Ali Mirvakili; Sayed Alireza Sadrossadat (Int. J. Circuit Theory Appl., 2021)

Modeling and implementation of nonlinear boost converter using local feedback deep recurrent neural network for voltage balancing in energy harvesting applications. - Mostafa Noohi; Ali Mirvakili; Sayed Alireza Sadrossadat (Int. J. Circuit Theory Appl., 2021)

A Hybrid Approach Based on Recurrent Neural Network for Macromodeling of Nonlinear Electronic Circuits. - Amin Faraji; Sayed Alireza Sadrossadat; Mahdi Yazdian Dehkordi; Morteza Nabavi; Yvon Savaria (IEEE Access, 2022)

Adjoint recurrent neural network technique for nonlinear electronic component modeling. - Zohreh Naghibi; Sayed Alireza Sadrossadat; Saeed Safari (Int. J. Circuit Theory Appl., 2022)

Modeling and implementation of a novel active voltage balancing circuit using deep recurrent neural network with dropout regularization. - Mostafa Noohi; Amin Faraji; Sayed Alireza Sadrossadat; Ali Mirvakili; Ali Moftakharzadeh (Int. J. Circuit Theory Appl., 2023)

A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits. - Amin Faraji; Sayed Alireza Sadrossadat; Weicong Na; Feng Feng; Qi-Jun Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Nonlinear Circuit Macromodeling Using New Heterogeneous-Layered Deep Clockwork Recurrent Neural Network. - Maedeh Azodi; Sayed Alireza Sadrossadat; Yvon Savaria (IEEE Access, 2024)

Yield Maximization of Flip-Flop Circuits Based on Deep Neural Network and Polyhedral Estimation of Nonlinear Constraints. - Sayed Alireza Sajjadi; Sayed Alireza Sadrossadat; Ali Moftakharzadeh; Morteza Nabavi; Mohamad Sawan (IEEE Access, 2024)

High-Speed Nonlinear Circuit Macromodeling Using Hybrid-Module Clockwork Recurrent Neural Network. - Fatemeh Charoosaei; Amin Faraji; Sayed Alireza Sadrossadat; Ali Mirvakili; Weicong Na; Feng Feng; Qi-Jun Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling. - Amin Faraji; Sayed Alireza Sadrossadat; Jing Jin; Weicong Na; Feng Feng; Qi-Jun Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

DNN-Based Optimization to Significantly Speed Up and Increase the Accuracy of Electronic Circuit Design. - Sayed Alireza Sajjadi; Sayed Alireza Sadrossadat; Ali Moftakharzadeh; Morteza Nabavi; Mohamad Sawan (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Macromodeling of Nonlinear High-Speed Circuits Using Novel Hybrid Bidirectional High-Order Deep Recurrent Neural Network. - Saeedeh Zebhi; Sayed Alireza Sadrossadat; Weicong Na; Qi-Jun Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Long Short-Term Memory Neural Network Combined With a Hybrid-Modular Clockwork Structure for Transient Modeling of Nonlinear Circuits. - Razieh Moradi Chaleshtori; Amin Saboohi; Amin Faraji; Sayed Alireza Sadrossadat; Ali Moftakharzadeh; Yvon Savaria (IEEE Access, 2025)

Attention Mechanism Combined With Deep Recurrent Network for Nonlinear Circuit Macromodeling. - Sina Soleimani; Sayed Alireza Sadrossadat; Weicong Na; Qi-Jun Zhang (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)