Designing Nanoelectronic-Compatible 8-bit Square Root Circuit by Quantum-Dot Cellular Automata. - Mohammad Reza Jahangir; Shadi Sheikhfaal; Shaahin Angizi; Keivan Navi; Firdous Ahmad (iNIS, 2015)

An Ultra-High Speed and Low Complexity Quantum-Dot Cellular Automata Full Adder. - Shaahin Angizi; Fahimeh Danehdaran; Soheil Sarmadi; Shadi Sheikhfaal; Nader Bagherzadeh; Keivan Navi (J. Low Power Electron., 2015)

Designing efficient QCA logical circuits with power dissipation analysis. - Shadi Sheikhfaal; Shaahin Angizi; Soheil Sarmadi; Mohammad Hossein Moaiyeri; Samira Sayedsalehi (Microelectron. J., 2015)

Towards ultra-efficient QCA reversible circuits. - Amir Mokhtar Chabi; Arman Roohi; Hossein Khademolhosseini; Shadi Sheikhfaal; Shaahin Angizi; Keivan Navi; Ronald F. DeMara (Microprocess. Microsystems, 2017)

A QCA Layout Design Methodology. Part I. - Shadi Sheikhfaal (CoRR, 2018)

An Ultra-Low Power Spintronic Stochastic Spiking Neuron with Self-Adaptive Discrete Sampling. - Shadi Sheikhfaal; Steven D. Pyle; Soheil Salehi; Ronald F. DeMara (MWSCAS, 2019)

ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. - Arman Roohi; Shadi Sheikhfaal; Shaahin Angizi; Deliang Fan; Ronald F. DeMara (IEEE Trans. Computers, 2020)

Long Short-Term Memory with Spin-Based Binary and Non-Binary Neurons. - Shadi Sheikhfaal; Meghana Reddy Vangala; Adekunle A. Adepegba; Ronald F. DeMara (MWSCAS, 2021)

Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs With p-Bit Devices. - Hossein Pourmeidani; Shadi Sheikhfaal; Ramtin Zand; Ronald F. DeMara (IEEE Trans. Emerg. Top. Comput., 2021)

Scalable Reasoning and Sensing Using Processing-In-Memory With Hybrid Spin/CMOS-Based Analog/Digital Blocks. - Mousam Hossain; Adrian Tatulian; Shadi Sheikhfaal; Harshavardhan Reddy Thummala; Ronald F. DeMara (IEEE Trans. Emerg. Top. Comput., 2023)

Energy-Efficient Recurrent Neural Network With MRAM-Based Probabilistic Activation Functions. - Shadi Sheikhfaal; Shaahin Angizi; Ronald F. DeMara (IEEE Trans. Emerg. Top. Comput., 2023)