Sayed Alireza Sadrossadat

According to our database, Sayed Alireza Sadrossadat authored at least 14 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., August, 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., March, 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., March, 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., February, 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

Nonlinear Circuit Macromodeling Using New Heterogeneous-Layered Deep Clockwork Recurrent Neural Network.

Maedeh Azodi, Sayed Alireza Sadrossadat, Yvon Savaria

IEEE Access, 2024

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., July, 2023

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., May, 2023

2022

Adjoint recurrent neural network technique for nonlinear electronic component modeling.

Zohreh Naghibi, Sayed Alireza Sadrossadat, Saeed Safari

Int. J. Circuit Theory Appl., 2022

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

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

Cover Image.

Mostafa Noohi, Ali Mirvakili, Sayed Alireza Sadrossadat

Int. J. Circuit Theory Appl., 2021

2019

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

2009

Framework for statistical design of a flip-flop.

Sayed Alireza Sadrossadat, Minoo Mirsaeedi, Kumaraswamy Ponnambalam, Mohab H. Anis

Proceedings of the 16th IEEE International Conference on Electronics, 2009