Mohammad Hasan Ahmadilivani

@taltech.ee

Computer Systems Department
Tallinn University of Technology

RESEARCH, TEACHING, or OTHER INTERESTS

Hardware and Architecture, Computer Engineering, Artificial Intelligence
310

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Effective and Memory-Efficient Alternatives to ECC for Reliable Large-Scale DNNs
    MH Ahmadilivani, M Roots, M Restifo, SM Loorits, L Di Mauro, J Raik
    The 32nd IEEE International Symposium on On-Line Testing and Robust System … , 2026
    2026
  • MTBT: Multi-Target Bit Trojan Attack for Quantized Neural Networks
    A Kusumoto, MH Ahmadilivani, J Raik
    2026 IEEE 29th International Symposium on Design and Diagnostics of … , 2026
    2026
  • Can Model-Level Fault Tolerance be Enough for DNN Hardware Accelerators? A Study
    N Cherezova, MH Ahmadilivani, J Raik, M Daneshtalab, M Jenihhin
    IEEE Design & Test , 2026
    2026
  • Cross-Layer Co-Optimized LSTM Accelerator for Real-Time Gait Analysis
    MH Ahmadilivani, L Aksoy, M Eslami, J Raik, A Kuusik
    The 27th International Symposium on Quality Electronic Design (ISQED'26) , 2026
    2026
  • Reliability Assessment of Deep Neural Networks and Accelerators Across Design Stages
    MH Ahmadilivani, N Cherezova, M Glaß, JD Guerrero-Balaguera, ...
    2026 IEEE 27th Latin American Test Symposium (LATS), 1-10 , 2026
    2026
  • Progressive Training of Hybrid Clipped Rectified Linear Unit for Resilient Convolution Neural Networks
    S Mousavi, MH Ahmadilivani, J Raik, M Jenihhin, M Daneshtalab
    IEEE Access , 2026
    2026
  • Investigating the Impact of Soft Errors in GPU-Accelerated Sparse DNNs
    MH Ahmadilivani, JER Condia, M Jenihhin, MS Reorda
    2026 IEEE 17th Latin America Symposium on Circuits and System (LASCAS), 1-5 , 2026
    2026
  • Late Breaking Results: Uncovering the Limits of ECCs in Vision Transformers and a Zero-Cost Reliability Enhancement
    MH Ahmadilivani, M Roots, M Restifo, SM Loorits, L Di Mauro, J Raik
    2026
    Citations: 1
  • Does Fault Tolerance Safeguard DNNs Against Bitfiip Attacks? A Case Study
    MH Ahmadilivani, Y Kobayashi, J Raik, M Daneshtalab, M Jenihhin
    2025 IEEE International Symposium on Defect and Fault Tolerance in VLSI and … , 2025
    2025
  • Online Estimation and Improvement of Cache Soft Error Vulnerability
    M Moeini Jahromi, MH Ahmadilivani, M Salehi
    Journal of Information and Communication Technology 63 (63), 204 , 2025
    2025
  • DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network
    MH Ahmadilivani, J Raik, M Daneshtalab, M Jenihhin
    arXiv preprint arXiv:2410.15742 , 2024
    2024
    Citations: 2
  • Zero-Memory-Overhead Clipping-Based Fault Tolerance for LSTM Deep Neural Networks
    B Parchekani, S Nazari, MH Ahmadilivani, A Azarpeyvand, J Raik, ...
    2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and … , 2024
    2024
    Citations: 1
  • Heterogeneous approximation of dnn hw accelerators based on channels vulnerability
    N Cherezova, S Pappalardo, M Taheri, MH Ahmadilivani, B Deveautour, ...
    2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration … , 2024
    2024
    Citations: 1
  • Machine Vision for Automated Collaborative Robot Programming in Manufacturing Industrial Factories
    MH Ahmadilivani, AE Karatopuk, M Roots, J Raik
    12th Annual Entrepreneurship and Innovation Conference (EIC) , 2024
    2024
  • Cost-effective fault tolerance for cnns using parameter vulnerability based hardening and pruning
    MH Ahmadilivani, S Mousavi, J Raik, M Daneshtalab, M Jenihhin
    2024 IEEE 30th International Symposium on On-Line Testing and Robust System … , 2024
    2024
    Citations: 11
  • ProAct: Progressive training for hybrid clipped activation function to enhance resilience of dnns
    S Mousavi, MH Ahmadilivani, J Raik, M Jenihhin, M Daneshtalab
    arXiv preprint arXiv:2406.06313 , 2024
    2024
    Citations: 6
  • Real-time gait anomaly detection using 1d-cnn and lstm
    J Rostovski, MH Ahmadilivani, A Krivošei, A Kuusik, MM Alam
    Nordic Conference on Digital Health and Wireless Solutions​, 260-278 , 2024
    2024
    Citations: 9
  • Special session: Reliability assessment recipes for dnn accelerators
    MH Ahmadilivani, A Bosio, B Deveautour, FF Dos Santos, ...
    2024 IEEE 42nd VLSI Test Symposium (VTS), 1-11 , 2024
    2024
    Citations: 11
  • Keynote: Cost-Efficient Reliability for Edge-AI Chips
    M Jenihhin, M Taheri, N Cherezova, MH Ahmadilivani, H Selg, A Jutman, ...
    2024 IEEE 25th Latin American Test Symposium (LATS), 1-2 , 2024
    2024
  • ECS an endeavor towards providing similar cache reliability behavior in different programs
    MH Ahmadilivani, MM Jahromi, ME Salehi, M Kargar
    Microelectronics Reliability 152, 115295 , 2024
    2024
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
    MH Ahmadilivani, M Taheri, J Raik, M Daneshtalab, M Jenihhin
    ACM Computing Surveys , 2023
    2023
    Citations: 109
  • Special session: Approximation and fault resiliency of dnn accelerators
    MH Ahmadilivani, M Barbareschi, S Barone, A Bosio, M Daneshtalab, ...
    2023 IEEE 41st VLSI Test Symposium (VTS), 1-10 , 2023
    2023
    Citations: 32
  • Deepaxe: A framework for exploration of approximation and reliability trade-offs in dnn accelerators
    M Taheri, M Riazati, MH Ahmadilivani, M Jenihhin, M Daneshtalab, J Raik, ...
    2023 24th International Symposium on Quality Electronic Design (ISQED), 1-8 , 2023
    2023
    Citations: 32
  • Design Space Exploration for Ultra-Low Energy and Secure IoT MCUs
    E Aerabi, M Bohlouli, MH Ahmadi Livany, M Fazeli, A Papadimitriou, ...
    ACM Transactions on Embedded Computing Systems (TECS) 19 (3), 1-34 , 2020
    2020
    Citations: 26
  • DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment
    MH Ahmadilivani, M Taheri, J Raik, M Daneshtalab, M Jenihhin
    2023 IEEE European Test Symposium (ETS) , 2023
    2023
    Citations: 23
  • Enhancing Fault Resilience of QNNs by Selective Neuron Splitting
    MH Ahmadilivani, M Taheri, J Raik, M Daneshtalab, M Jenihhin
    2023 IEEE 5th International Conference on Artificial Intelligence Circuits … , 2023
    2023
    Citations: 19
  • Appraiser: Dnn fault resilience analysis employing approximation errors
    M Taheri, MH Ahmadilivani, M Jenihhin, M Daneshtalab, J Raik
    2023 26th International Symposium on Design and Diagnostics of Electronic … , 2023
    2023
    Citations: 16
  • Cost-effective fault tolerance for cnns using parameter vulnerability based hardening and pruning
    MH Ahmadilivani, S Mousavi, J Raik, M Daneshtalab, M Jenihhin
    2024 IEEE 30th International Symposium on On-Line Testing and Robust System … , 2024
    2024
    Citations: 11
  • Special session: Reliability assessment recipes for dnn accelerators
    MH Ahmadilivani, A Bosio, B Deveautour, FF Dos Santos, ...
    2024 IEEE 42nd VLSI Test Symposium (VTS), 1-11 , 2024
    2024
    Citations: 11
  • Real-time gait anomaly detection using 1d-cnn and lstm
    J Rostovski, MH Ahmadilivani, A Krivošei, A Kuusik, MM Alam
    Nordic Conference on Digital Health and Wireless Solutions​, 260-278 , 2024
    2024
    Citations: 9
  • ProAct: Progressive training for hybrid clipped activation function to enhance resilience of dnns
    S Mousavi, MH Ahmadilivani, J Raik, M Jenihhin, M Daneshtalab
    arXiv preprint arXiv:2406.06313 , 2024
    2024
    Citations: 6
  • Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation
    I Dadras, S Seydi, MH Ahmadilivani, J Raik, ME Salehi
    2023 30th IEEE International Conference on Electronics, Circuits and Systems … , 2023
    2023
    Citations: 3
  • Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks
    MH Ahmadilivani, J Raik, M Daneshtalab, A Kuusik
    2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and … , 2023
    2023
    Citations: 3
  • An efficient analog convolutional neural network hardware accelerator enabled by a novel memoryless architecture for insect-sized robots
    I Dadras, MH Ahmadilivani, S Banerji, J Raik, A Abloo
    2022 11th International Conference on Modern Circuits and Systems … , 2022
    2022
    Citations: 3
  • DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network
    MH Ahmadilivani, J Raik, M Daneshtalab, M Jenihhin
    arXiv preprint arXiv:2410.15742 , 2024
    2024
    Citations: 2
  • ECS an endeavor towards providing similar cache reliability behavior in different programs
    MH Ahmadilivani, MM Jahromi, ME Salehi, M Kargar
    Microelectronics Reliability 152, 115295 , 2024
    2024
    Citations: 2
  • Late Breaking Results: Uncovering the Limits of ECCs in Vision Transformers and a Zero-Cost Reliability Enhancement
    MH Ahmadilivani, M Roots, M Restifo, SM Loorits, L Di Mauro, J Raik
    2026
    Citations: 1
  • Zero-Memory-Overhead Clipping-Based Fault Tolerance for LSTM Deep Neural Networks
    B Parchekani, S Nazari, MH Ahmadilivani, A Azarpeyvand, J Raik, ...
    2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and … , 2024
    2024
    Citations: 1
  • Heterogeneous approximation of dnn hw accelerators based on channels vulnerability
    N Cherezova, S Pappalardo, M Taheri, MH Ahmadilivani, B Deveautour, ...
    2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration … , 2024
    2024
    Citations: 1
  • Effective and Memory-Efficient Alternatives to ECC for Reliable Large-Scale DNNs
    MH Ahmadilivani, M Roots, M Restifo, SM Loorits, L Di Mauro, J Raik
    The 32nd IEEE International Symposium on On-Line Testing and Robust System … , 2026
    2026