activity
20202025
most citedDevice Variability Analysis for Memristive Material Implication

6 citations · 10 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2025

FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples

Nitish Nagesh, Salar Shakibhamedan, Mahdi Bagheri +4

Synthetic healthcare data generation offers a promising solution to research limitations in clinical settings caused by privacy and regulatory constraints. However, current synthet…

cs.ET2024★ 1 cited

IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning

Melanie Qiu, Caoyueshan Fan, Gulafshan +3

To overcome the performance limitations in modern computing, such as the power wall, emerging computing paradigms are gaining increasing importance. Approximate computing offers a…

cs.ET2024

ATOMIC: Automatic Tool for Memristive IMPLY-based Circuit-level Simulation and Validation

Fabian Seiler, Nima TaheriNejad

Since performance improvements of computers are stagnating, new technologies and computer paradigms are hot research topics. Memristor-based In-Memory Computing is one of the promi…

cs.HC2024★ 3 cited

Wearable Healthcare Devices for Monitoring Stress and Attention Level in Workplace Environments

Peter Traunmuller, Anice Jahanjoo, Soheil Khooyooz +2

Wearable devices have revolutionized healthcare monitoring, allowing us to track physiological conditions without disrupting daily routines. Whereas monitoring physical health and…

cs.ET2021

BEhavioral Leakage and IntEr-cycle Variability Emulator model for ReRAMs (BELIEVER)

David Radakovits, Nima Taherinejad

Emerging electronic devices are promising to drive the performance of computer systems to new heights, against the notable saturation in traditional transistor-based architectures.…

cs.ET2021★ 6 cited

Device Variability Analysis for Memristive Material Implication

Simon Michael Laube, Nima TaheriNejad

Currently, memristor devices suffer from variability between devices and from cycle to cycle. In this work, we study the impact of device variations on memristive Material Implicat…

cs.ET2020

Sorting in Memristive Memory

Mohsen Riahi Alam, M. Hassan Najafi, Nima TaheriNejad

Sorting is needed in many application domains. The data is read from memory and sent to a general purpose processor or application specific hardware for sorting. The sorted data is…