Shaghayegh Vahdat

According to our database, Shaghayegh Vahdat authored at least 11 papers between 2017 and 2026.

Collaborative distances:

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

2026

On the use of approximate computing for improving the robustness of DNNs against adversarial attacks.

Sahand Divsalar, Fatemeh Arezoomand, Shaghayegh Vahdat, Ali Afzali-Kusha, Massoud Pedram

J. Supercomput., February, 2026

AFMIS: An approximate floating-point multiplier based on input segmentation.

Asma Naseri Rad, Shaghayegh Vahdat, Ali Afzali-Kusha, Massoud Pedram

Future Gener. Comput. Syst., 2026

ARTS: An approximate reduced tree and segmentation-based multiplier.

Mahla Salehi Sheikhali Kelayeh, Sahand Divsalar, Shaghayegh Vahdat, Nima Taherinejad

Future Gener. Comput. Syst., 2026

2021

LATIM: Loading-Aware Offline Training Method for Inverter-Based Memristive Neural Networks.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Loading-Aware Reliability Improvement of Ultra-Low Power Memristive Neural Networks.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

2020

Interstice: Inverter-Based Memristive Neural Networks Discretization for Function Approximation Applications.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram

IEEE Trans. Very Large Scale Integr. Syst., 2020

Offline Training Improvement of Inverter-Based Memristive Neural Networks Using Inverter Voltage Characteristic Smoothing.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram

IEEE Trans. Circuits Syst., 2020

2019

TOSAM: An Energy-Efficient Truncation- and Rounding-Based Scalable Approximate Multiplier.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram

IEEE Trans. Very Large Scale Integr. Syst., 2019

2017

LETAM: A low energy truncation-based approximate multiplier.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram

Comput. Electr. Eng., 2017

TruncApp: A truncation-based approximate divider for energy efficient DSP applications.

Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Zainalabedin Navabi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017