Mohammad Hasan Ahmadilivani

According to our database, Mohammad Hasan Ahmadilivani authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

Cross-Layer Co-Optimized LSTM Accelerator for Real-Time Gait Analysis.

Mohammad Hasan Ahmadilivani, Levent Aksoy, Mohammad Eslami, Jaan Raik, Alar Kuusik

CoRR, April, 2026

Progressive Training of Hybrid Clipped Rectified Linear Unit for Resilient Convolution Neural Networks.

Seyedhamidreza Mousavi, Mohammad Hasan Ahmadilivani, Jaan Raik, Maksim Jenihhin, Masoud Daneshtalab

IEEE Access, 2026

Reliability Assessment of Deep Neural Networks and Accelerators Across Design Stages.

Mohammad Hasan Ahmadilivani, Natalia Cherezova, Michael Glaß, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Letícia Maria Veiras Bolzani Poehls, Jaan Raik, Lucas Roquet, Fernando Fernandes dos Santos, Felipe Augusto da Silva, Matteo Sonza Reorda, Alessandro Veronesi, Ernesto Cristopher Villegas Castillo, Josie E. Rodriguez Condia

Proceedings of the 27th IEEE Latin American Test Symposium, 2026

Investigating the Impact of Soft Errors in GPU-Accelerated Sparse DNNs.

Mohammad Hasan Ahmadilivani, Josie E. Rodriguez Condia, Maksim Jenihhin, Matteo Sonza Reorda

Proceedings of the 17th IEEE Latin America Symposium on Circuits and System, 2026

MTBT: Multi-Target Bit Trojan Attack for Quantized Neural Networks.

Akiha Kusumoto, Mohammad Hasan Ahmadilivani, Jaan Raik

Proceedings of the 29th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2026

2025

Does Fault Tolerance Safeguard DNNs Against Bitfiip Attacks? A Case Study.

Mohammad Hasan Ahmadilivani, Yuto Kobayashi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2025

2024

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks.

Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

ACM Comput. Surv., June, 2024

DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network.

Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

CoRR, 2024

ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs.

Seyedhamidreza Mousavi, Mohammad Hasan Ahmadilivani, Jaan Raik, Maksim Jenihhin, Masoud Daneshtalab

CoRR, 2024

Special Session: Reliability Assessment Recipes for DNN Accelerators.

Mohammad Hasan Ahmadilivani, Alberto Bosio, Bastien Deveautour, Fernando Fernandes dos Santos, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Salvatore Pappalardo, Jaan Raik, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Mahdi Taheri, Marcello Traiola

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability.

Natalia Cherezova, Salvatore Pappalardo, Mahdi Taheri, Mohammad Hasan Ahmadilivani, Bastien Deveautour, Alberto Bosio, Jaan Raik, Maksim Jenihhin

Proceedings of the 32nd IFIP/IEEE International Conference on Very Large Scale Integration, 2024

Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM.

Jakob Rostovski, Mohammad Hasan Ahmadilivani, Andrei Krivosei, Alar Kuusik, Muhammad Mahtab Alam

Proceedings of the Digital Health and Wireless Solutions - First Nordic Conference, 2024

Keynote: Cost-Efficient Reliability for Edge-AI Chips.

Maksim Jenihhin, Mahdi Taheri, Natalia Cherezova, Mohammad Hasan Ahmadilivani, Hardi Selg, Artur Jutman, Konstantin Shibin, Anton Tsertov, Sergei Devadze, Rama Mounika Kodamanchili, Ahsan Rafiq, Jaan Raik, Masoud Daneshtalab

Proceedings of the 25th IEEE Latin American Test Symposium, 2024

Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning.

Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

Proceedings of the 30th IEEE International Symposium on On-Line Testing and Robust System Design, 2024

Zero-Memory-Overhead Clipping-Based Fault Tolerance for LSTM Deep Neural Networks.

Bahram Parchekani, Samira Nazari, Mohammad Hasan Ahmadilivani, Ali Azarpeyvand, Jaan Raik, Tara Ghasempouri, Masoud Daneshtalab

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2024

2023

Special Session: Approximation and Fault Resiliency of DNN Accelerators.

Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri

Proceedings of the 41st IEEE VLSI Test Symposium, 2023

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators.

Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation.

Iman Dadras, Sakineh Seydi, Mohammad Hasan Ahmadilivani, Jaan Raik, Mostafa E. Salehi

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment.

Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

Proceedings of the IEEE European Test Symposium, 2023

Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks.

Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Alar Kuusik

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2023

APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors.

Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik

Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

Enhancing Fault Resilience of QNNs by Selective Neuron Splitting.

Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots.

Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, Jaan Raik, Alvo Aabloo

Proceedings of the 11th International Conference on Modern Circuits and Systems Technologies, 2022