Aging mitigation in memory arrays using self-controlled bit-flipping technique. - Anteneh Gebregiorgis; Mojtaba Ebrahimi; Saman Kiamehr; Fabian Oboril; Said Hamdioui; Mehdi Baradaran Tahoori (ASP-DAC, 2015)

A cross-layer analysis of Soft Error, aging and process variation in Near Threshold Computing. - Anteneh Gebregiorgis; Saman Kiamehr; Fabian Oboril; Rajendra Bishnoi; Mehdi Baradaran Tahoori (DATE, 2016)

A cross-layer approach for resiliency and energy efficiency in near threshold computing. - Mohammad Saber Golanbari; Anteneh Gebregiorgis; Fabian Oboril; Saman Kiamehr; Mehdi Baradaran Tahoori (ICCAD, 2016)

Maximizing Energy Efficiency in NTC by Variation-Aware Microprocessor Pipeline Optimization. - Anteneh Gebregiorgis; Mohammad Saber Golanbari; Saman Kiamehr; Fabian Oboril; Mehdi Baradaran Tahoori (ISLPED, 2016)

Instruction cache aging mitigation through Instruction Set Encoding. - Anteneh Gebregiorgis; Fabian Oboril; Mehdi Baradaran Tahoori; Said Hamdioui (ISQED, 2016)

Error Propagation Aware Timing Relaxation For Approximate Near Threshold Computing. - Anteneh Gebregiorgis; Saman Kiamehr; Mehdi Baradaran Tahoori (DAC, 2017)

Post-fabrication calibration of Near-Threshold circuits for energy efficiency. - Mohammad Saber Golanbari; Saman Kiamehr; Fabian Oboril; Anteneh Gebregiorgis; Mehdi Baradaran Tahoori (ISQED, 2017)

Balancing resiliency and energy efficiency of functional units in ultra-low power systems. - Mohammad Saber Golanbari; Anteneh Gebregiorgis; Elyas Moradi; Saman Kiamehr; Mehdi Baradaran Tahoori (ASP-DAC, 2018)

Spintronic normally-off heterogeneous system-on-chip design. - Anteneh Gebregiorgis; Rajendra Bishnoi; Mehdi Baradaran Tahoori (DATE, 2018)

Reliability And Performance Challenges Of Ultra-Low Voltage Caches: A Trade-Off Analysis. - Anteneh Gebregiorgis; Mehdi Baradaran Tahoori (IOLTS, 2018)

Modeling and Testing of Aging Faults in FinFET Memories for Automotive Applications. - Grigor Tshagharyan; Gurgen Harutyunyan; Yervant Zorian; Anteneh Gebregiorgis; Mohammad Saber Golanbari; Rajendra Bishnoi; Mehdi Baradaran Tahoori (ITC, 2018)

Fine-Grained Energy-Constrained Microprocessor Pipeline Design. - Anteneh Gebregiorgis; Mehdi Baradaran Tahoori (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Test Pattern Generation for Approximate Circuits Based on Boolean Satisfiability. - Anteneh Gebregiorgis; Mehdi Baradaran Tahoori (DATE, 2019)

Testing of Neuromorphic Circuits: Structural vs Functional. - Anteneh Gebregiorgis; Mehdi Baradaran Tahoori (ITC, 2019)

A Comprehensive Reliability Analysis Framework for NTC Caches: A System to Device Approach. - Anteneh Gebregiorgis; Rajendra Bishnoi; Mehdi Baradaran Tahoori (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Resilient Energy-Constrained Microprocessor Architectures. - Anteneh Gebregiorgis (2019)

Achieving Energy Efficiency for Near-Threshold Circuits Through Postfabrication Calibration and Adaptation. - Mohammad Saber Golanbari; Saman Kiamehr; Fabian Oboril; Anteneh Gebregiorgis; Mehdi Baradaran Tahoori (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Unbalanced Bit-slicing Scheme for Accurate Memristor-based Neural Network Architecture. - Sumit Diware; Anteneh Gebregiorgis; Rajiv V. Joshi; Said Hamdioui; Rajendra Bishnoi (AICAS, 2021)

Perspectives on Emerging Computation-in-Memory Paradigms. - Shubham Rai; Mengyun Liu; Anteneh Gebregiorgis; Debjyoti Bhattacharjee; Krishnendu Chakrabarty; Said Hamdioui; Anupam Chattopadhyay; Jens Trommer; Akash Kumar 001 (DATE, 2021)

Improving the Detection of Undefined State Faults in FinFET SRAMs. - G. Cardoso Medeiros; Moritz Fieback; Thiago Santos Copetti; Anteneh Gebregiorgis; Mottaqiallah Taouil; Leticia B. Poehls; Said Hamdioui (DTIS, 2021)

Intermittent Undefined State Fault in RRAMs. - Moritz Fieback; Guilherme Cardoso Medeiros; Anteneh Gebregiorgis; Hassen Aziza; Mottaqiallah Taouil; Said Hamdioui (ETS, 2021)

Detecting Random Read Faults to Reduce Test Escapes in FinFET SRAMs. - G. Cardoso Medeiros; Moritz Fieback; Anteneh Gebregiorgis; Mottaqiallah Taouil; Leticia Bolzani Poehls; Said Hamdioui (ETS, 2021)

Low-Power Memristor-Based Computing for Edge-AI Applications. - Abhairaj Singh; Sumit Diware; Anteneh Gebregiorgis; Rajendra Bishnoi; Francky Catthoor; Rajiv V. Joshi; Said Hamdioui (ISCAS, 2021)

Towards Reliable In-Memory Computing: From Emerging Devices to Post-von-Neumann Architectures. - Hussam Amrouch; Nan Du 004; Anteneh Gebregiorgis; Said Hamdioui; Ilia Polian (VLSI-SoC, 2021)

SRIF: Scalable and Reliable Integrate and Fire Circuit ADC for Memristor-Based CIM Architectures. - Abhairaj Singh; Muath Abu Lebdeh; Anteneh Gebregiorgis; Rajendra Bishnoi; Rajiv V. Joshi; Said Hamdioui (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Approximate Learning and Fault-Tolerant Mapping for Energy-Efficient Neuromorphic Systems. - Anteneh Gebregiorgis; Mehdi B. Tahoori (ACM Trans. Design Autom. Electr. Syst., 2021)

CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-out. - Abhairaj Singh; Mahdi Zahedi; Taha Shahroodi; Mohit Gupta 004; Anteneh Gebregiorgis; Manu Komalan; Rajiv V. Joshi; Francky Catthoor; Rajendra Bishnoi; Said Hamdioui (AICAS, 2022)

PVT Analysis for RRAM and STT-MRAM-based Logic Computation-in-Memory. - Moritz Fieback; Christopher Münch; Anteneh Gebregiorgis; Guilherme Cardoso Medeiros; Mottaqiallah Taouil; Said Hamdioui; Mehdi B. Tahoori (ETS, 2022)

RRAM Crossbar-Based Fault-Tolerant Binary Neural Networks (BNNs). - Anteneh Gebregiorgis; Artemis Zografou; Said Hamdioui (ETS, 2022)

Hierarchical Memory Diagnosis. - Guilherme Cardoso Medeiros; Moritz Fieback; Anteneh Gebregiorgis; Mottaqiallah Taouil; Letícia Maria Veiras Bolzani; Said Hamdioui (ETS, 2022)

Accelerating RRAM Testing with a Low-cost Computation-in-Memory based DFT. - Abhairaj Singh; Moritz Fieback; Rajendra Bishnoi; Filip Bradaric; Anteneh Gebregiorgis; Rajiv V. Joshi; Said Hamdioui (ITC, 2022)

Energy-Efficient SNN Implementation Using RRAM-Based Computation In-Memory (CIM). - Asmae El Arrassi; Anteneh Gebregiorgis; Anass El Haddadi; Said Hamdioui (VLSI-SoC, 2022)

Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs. - Anteneh Gebregiorgis; Abhairaj Singh; Sumit Diware; Rajendra Bishnoi; Said Hamdioui (VLSI-SoC, 2022)

Special Session: STT-MRAMs: Technology, Design and Test. - Anteneh Gebregiorgis; Lizhou Wu; Christopher Münch; Siddharth Rao; Mehdi B. Tahoori; Said Hamdioui (VTS, 2022)

CONVOLVE: Smart and seamless design of smart edge processors. - Manil Dev Gomony; Floran de Putter; Anteneh Gebregiorgis; Gianna Paulin; Linyan Mei; Vikram Jain; Said Hamdioui; Victor Sanchez; Tobias Grosser; Marc Geilen; Marian Verhelst; Frank K. Zenke; et al. (CoRR, 2022)

A Survey on Memory-centric Computer Architectures. - Anteneh Gebregiorgis; Hoang Anh Du Nguyen; Jintao Yu; Rajendra Bishnoi; Mottaqiallah Taouil; Francky Catthoor; Said Hamdioui (ACM J. Emerg. Technol. Comput. Syst., 2022)

A Voltage-Controlled, Oscillation-Based ADC Design for Computation-in-Memory Architectures Using Emerging ReRAMs. - Mahta Mayahinia; Abhairaj Singh; Christopher Bengel; Stefan Wiefels; Muath Abu Lebdeh; Stephan Menzel; Dirk J. Wouters; Anteneh Gebregiorgis; Rajendra Bishnoi; Rajiv V. Joshi; Said Hamdioui (ACM J. Emerg. Technol. Comput. Syst., 2022)

Reliability aspects of binary vector-matrix-multiplications using ReRAM devices. - Christopher Bengel; Johannes Mohr; Stefan Wiefels; Abhairaj Singh; Anteneh Gebregiorgis; Rajendra Bishnoi; Said Hamdioui; Rainer Waser; Dirk J. Wouters; Stephan Menzel (Neuromorph. Comput. Eng., 2022)

Energy-efficient In-Memory Address Calculation. - Amirreza Yousefzadeh; Jan Stuijt; Martijn Hijdra; Hsiao-Hsuan Liu; Anteneh Gebregiorgis; Abhairaj Singh; Said Hamdioui; Francky Catthoor (ACM Trans. Archit. Code Optim., 2022)

Mapping-aware Biased Training for Accurate Memristor-based Neural Networks. - Sumit Diware; Anteneh Gebregiorgis; Rajiv V. Joshi; Said Hamdioui; Rajendra Bishnoi (AICAS, 2023)

PetaOps/W edge-AI $ mu$ Processors: Myth or reality? - Manil Dev Gomony; Floran de Putter; Anteneh Gebregiorgis; Gianna Paulin; Linyan Mei; Vikram Jain; Said Hamdioui; Victor Sanchez; Tobias Grosser; Marc Geilen; Marian Verhelst; Friedemann Zenke; et al. (DATE, 2023)

Dependability of Future Edge-AI Processors: Pandora's Box. - Manil Dev Gomony; Anteneh Gebregiorgis; Moritz Fieback; Marc Geilen; Sander Stuijk; Jan Richter-Brockmann; Rajendra Bishnoi; Sven Argo; Lara Arche Andradas; Tim Güneysu; Mottaqiallah Taouil; Henk Corporaal; et al. (ETS, 2023)

Energy-efficient Computation-In-Memory Architecture using Emerging Technologies. - Rajendra Bishnoi; Sumit Diware; Anteneh Gebregiorgis; Simon Thomann; Sara Mannaa; Bastien Deveautour; Cédric Marchand 002; Alberto Bosio; Damien Deleruyelle; Ian O'Connor; Hussam Amrouch; Said Hamdioui (ICM, 2023)

Devices and Architectures for Efficient Computing In-Memory (CIM) Design. - Christopher Bengel; Anteneh Gebregiorgis; Stephan Menzel; Rainer Waser; Georgi Gaydadjiev; Said Hamdioui (SAMOS, 2023)

On the Reliability of RRAM-Based Neural Networks. - Hassen Aziza; Cristian Zambelli; Said Hamdioui; Sumit Diware; Rajendra Bishnoi; Anteneh Gebregiorgis (VLSI-SoC, 2023)

Severity-Based Hierarchical ECG Classification Using Neural Networks. - Sumit Diware; Sudeshna Dash; Anteneh Gebregiorgis; Rajiv V. Joshi; Christos Strydis; Said Hamdioui; Rajendra Bishnoi (IEEE Trans. Biomed. Circuits Syst., 2023)

Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks. - Sumit Diware; Abhairaj Singh; Anteneh Gebregiorgis; Rajiv V. Joshi; Said Hamdioui; Rajendra Bishnoi (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A Survey on Machine Learning in Hardware Security. - Troya Çagil Köylü; Cezar Rodolfo Wedig Reinbrecht; Anteneh Gebregiorgis; Said Hamdioui; Mottaqiallah Taouil (ACM J. Emerg. Technol. Comput. Syst., 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)

A Lightweight Architecture for Real-Time Neuronal-Spike Classification. - Muhammad Ali Siddiqi; David Vrijenhoek; Lennart P. L. Landsmeer; Job van der Kleij; Anteneh Gebregiorgis; Vincenzo Romano; Rajendra Bishnoi; Said Hamdioui; Christos Strydis (CF, 2024)

Invited: Achieving PetaOps/W Edge-AI Processing. - Manil Dev Gomony; Bas Ahn; Rick Luiken; Yashvardhan Biyani; Anteneh Gebregiorgis; Axel Laborieux; Friedemann Zenke; Said Hamdioui; Henk Corporaal (DAC, 2024)

Fault Tolerant Design for Memristor-based AI Accelerators. - Theofilos Spyrou; Artemis Zografou; Said Hamdioui; Anteneh Gebregiorgis (DTTIS, 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)

Memristor-Based Lightweight Encryption. - Muhammad Ali Siddiqi; Jan Andrés Galvan Hernández; Anteneh Gebregiorgis; Rajendra Bishnoi; Christos Strydis; Said Hamdioui; Mottaqiallah Taouil (CoRR, 2024)

EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. - Alexandra F. Dobrita; Amirreza Yousefzadeh; Simon Thorpe; Kanishkan Vadivel; Paul Detterer; Guangzhi Tang; Gert-Jan van Schaik; Mario Konijnenburg; Anteneh Gebregiorgis; Said Hamdioui; Manolis Sifalakis (CoRR, 2024)

European Test Symposium Teams: an Anniversary Snapshot. - Maksim Jenihhin; Jaan Raik; Artur Jutman; Natalia Cherezova; Raimund Ubar; Liviu Miclea; Szilárd Enyedi; I. Stefan; Ovidiu Stan; Cosmina Corches; Z. Peng; Petru Eles; et al. (ETS, 2025)

On the Trustworthiness of Spiking Neural Networks and Neuromorphic Systems. - Theofilos Spyrou; Haralampos-G. Stratigopoulos; Ihsen Alouani; Said Hamdioui; Anteneh Gebregiorgis (ETS, 2025)

Flexible Hardware Accelerators for Ultra-Low Power Edge AI: The CONVOLVE Approach. - Panagiotis Chaidos; Alexios Maras; Georgios Alexandris; Xiaoling; Asmae El Arrassi; Bas Ahn; James D. Garside; Yunhao Deng; Theofilos Spyrou; Anteneh Gebregiorgis; Mottaqiallah Taouil; Manil Dev Gomony; et al. (ISVLSI, 2025)

SPICE-Level Demonstration of Unsupervised Learning With Spintronic Synapses in Spiking Neural Networks. - Salah Daddinounou; Anteneh Gebregiorgis; Said Hamdioui; Elena-Ioana Vatajelu (IEEE Access, 2025)