Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture. - Mohammad Amin Yaldagard; Sumit Diware; Rajiv V. Joshi; Said Hamdioui; Rajendra Bishnoi (AICAS, 2023)

Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks. - Sumit Diware; Mohammad Amin Yaldagard; Anteneh Gebregiorgis; Rajiv V. Joshi; Said Hamdioui; Rajendra Bishnoi (AICAS, 2024)

Online Detection of Unique Faults in RRAMs. - Hanzhi Xun; Moritz Fieback; Mohammad Amin Yaldagard; Sicong Yuan; Hassen Aziza; Mottaqiallah Taouil; Said Hamdioui (ETS, 2024)

Design-for-Test for Intermittent Faults in STT-MRAMs. - Sicong Yuan; Mohammad Amin Yaldagard; Hanzhi Xun; Moritz Fieback; Erik Jan Marinissen; Woojin Kim; Siddharth Rao; Sebastien Couet; Mottaqiallah Taouil; Said Hamdioui (ETS, 2024)

Hardware-Aware Quantization for Accurate Memristor-Based Neural Networks. - Sumit Diware; Mohammad Amin Yaldagard; Rajendra Bishnoi (ICCAD, 2024)

Robust Design-for-Testability Scheme for Conventional and Unique Defects in RRAMs. - Hanzhi Xun; Moritz Fieback; Mohammad Amin Yaldagard; Sicong Yuan; Erbing Hua; Hassen Aziza; Mottaqiallah Taouil; Said Hamdioui (ITC, 2024)

AFSRAM-CIM: Adder Free SRAM-Based Digital Computation-in-Memory for BNN. - Asmae El Arrassi; Mohammad Amin Yaldagard; Xingjian Tao; Taha Shahroodi; Fouwad Jamil Mir; Yashvardhan Biyani; Manil Dev Gomony; Anteneh Gebregiorgis; Rajiv V. Joshi; Said Hamdioui (VLSI-SoC, 2024)

Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E). - Rajendra Bishnoi; Mohammad Amin Yaldagard; Said Hamdioui; Kanishkan Vadivel; Manolis Sifalakis; Nicolas Daniel Rodriguez; Pedro Julián; Lothar Ratschbacher; Maen Mallah; Yogesh Ramesh Patil; Rashid Ali; Fabian Chersi (DATE, 2025)

Adaptive Multi-Threshold Encoding for Energy-Efficient ECG Classification Architecture Using Spiking Neural Network. - Sumit Diware; Yingzhou Dong; Mohammad Amin Yaldagard; Said Hamdioui; Rajendra Bishnoi (DATE, 2025)