NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories. - Soyed Tuhin Ahmed; Michael Hefenbrock; Christopher Münch; Mehdi B. Tahoori (ETS, 2021)

MVSTT: A Multi-Value Computation-in-Memory based on Spin-Transfer Torque Memories. - Atousa Jafari; Mahta Mayahinia; Soyed Tuhin Ahmed; Christopher Münch; Mehdi B. Tahoori (DSD, 2022)

Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric. - Soyed Tuhin Ahmed; Mahta Mayahinia; Michael Hefenbrock; Christopher Münch; Mehdi B. Tahoori (ETS, 2022)

Compact Functional Test Generation for Memristive Deep Learning Implementations using Approximate Gradient Ranking. - Soyed Tuhin Ahmed; Mehdi B. Tahoori (ITC, 2022)

Binary Bayesian Neural Networks for Efficient Uncertainty Estimation Leveraging Inherent Stochasticity of Spintronic Devices. - Soyed Tuhin Ahmed; Kamal Danouchi; Christopher Münch; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (NANOARCH, 2022)

Fault-tolerant Neuromorphic Computing with Functional ATPG for Post-manufacturing Re-calibration. - Soyed Tuhin Ahmed; Mehdi B. Tahoori (VTS, 2022)

Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation. - Soyed Tuhin Ahmed; Kamal Danouchi; Michael Hefenbrock; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (DATE, 2023)

Online Fault-Tolerance for Memristive Neuromorphic Fabric Based on Local Approximation. - Soyed Tuhin Ahmed; Roman Rakhmatullin; Mehdi B. Tahoori (ETS, 2023)

A Low Overhead Checksum Technique for Error Correction in Memristive Crossbar for Deep Learning Applications. - Surendra Hemaram; Soyed Tuhin Ahmed; Mahta Mayahinia; Christopher Münch; Mehdi B. Tahoori (VTS, 2023)

Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation. - Soyed Tuhin Ahmed; Kamal Danouchi; Michael Hefenbrock; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (CoRR, 2023)

Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale. - Soyed Tuhin Ahmed; Kamal Danouchi; Michael Hefenbrock; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (CoRR, 2023)

SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation. - Soyed Tuhin Ahmed; Kamal Danouchi; Christopher Münch; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

NeuroScrub+: Mitigating Retention Faults Using Flexible Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories. - Soyed Tuhin Ahmed; Michael Hefenbrock; Christopher Münch; Mehdi B. Tahoori (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Fault-Tolerant Neuromorphic Computing With Memristors Using Functional ATPG for Efficient Recalibration. - Soyed Tuhin Ahmed; Mehdi B. Tahoori (IEEE Des. Test, 2023)

SpinBayes: Algorithm-Hardware Co-Design for Uncertainty Estimation Using Bayesian In-Memory Approximation on Spintronic-Based Architectures. - Soyed Tuhin Ahmed; Kamal Danouchi; Michael Hefenbrock; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (ACM Trans. Embed. Comput. Syst., 2023)

Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations. - Soyed Tuhin Ahmed; Kamal Danouchi; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (DATE, 2024)

NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI. - Soyed Tuhin Ahmed; Kamal Danouchi; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (DATE, 2024)

Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. - Soyed Tuhin Ahmed; Kamal Danouchi; Michael Hefenbrock; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (ETS, 2024)

Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights. - Soyed Tuhin Ahmed; Michael Hefenbrock; Mehdi B. Tahoori (ICCAD, 2024)

NN-ECC: Embedding Error Correction Codes in Neural Network Weight Memories using Multi-task Learning. - Soyed Tuhin Ahmed; Surendra Hemaram; Mehdi B. Tahoori (VTS, 2024)

Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint. - Soyed Tuhin Ahmed; Mehdi Baradaran Tahoori (CoRR, 2024)

Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. - Soyed Tuhin Ahmed; Michael Hefenbrock; Guillaume Prenat; Lorena Anghel; Mehdi B. Tahoori (CoRR, 2024)

Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning. - Soyed Tuhin Ahmed (CoRR, 2024)

Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vector. - Soyed Tuhin Ahmed; Mehdi B. Tahoori (CoRR, 2024)

Design-time Reference Current Generation for Robust Spintronic-based Neuromorphic Architecture. - Soyed Tuhin Ahmed; Mahta Mayahinia; Michael Hefenbrock; Christopher Münch; Mehdi B. Tahoori (ACM J. Emerg. Technol. Comput. Syst., 2024)

One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection. - Soyed Tuhin Ahmed; Mehdi B. Tahoori (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

AI for Test : (Innovation Practices Track). - Arjun Chaudhuri; Soyed Tuhin Ahmed (VTS, 2025)