| 2026 | ETS | Reliability, Test, and Security of Compute-In-Memories. | Soyed Tuhin Ahmed, Krishnendu Chakrabarty, Jin-Fu Li, Mottaqiallah Taouil, Fouwad Jamil Mir, Said Hamdioui, Mehdi B. Tahoori, Martin Keim, Jongsin Yun |
| 2026 | VTS | The Fracture Bits in Large Language Models. | Soyed Tuhin Ahmed, Farshad Firouzi, Krishnendu Chakrabarty |
| 2026 | VTS | MoD-CiM: A Mixture-of-Defenses Framework Against Power-Hammering Attacks in Multi-Tenant Compute-in-Memory. | Ashish Reddy Bommana, Soyed Tuhin Ahmed, Farshad Firouzi, Krishnendu Chakrabarty |
| 2026 | VTS | DefectVICL: Data-Efficient Wafer Defect Classification with Vision In Context Learning. | Md Fahim Ul Islam, Soyed Tuhin Ahmed, John M. Carulli, Krishnendu Chakrabarty |
| 2026 | VTS | HAT-FI: Hardware-Aware Training for Fault-Tolerant LLM Inference on RRAM-Based Compute-in-Memory. | Pragya Sharma, Soyed Tuhin Ahmed, Farshad Firouzi, Krishnendu Chakrabarty |
| 2025 | ITC | Fault Tolerance in RRAM-based AI Accelerator with Guided Randomized Activation. | Soyed Tuhin Ahmed, Eduardo Ortega, Ryan Depsey, T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Matthew J. Marinella, Krishnendu Chakrabarty |
| 2025 | VTS | AI for Test : (Innovation Practices Track). | Arjun Chaudhuri, Soyed Tuhin Ahmed |
| 2024 | DATE | 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 |
| 2024 | DATE | 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 |
| 2024 | ETS | Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. | Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori |
| 2024 | ICCAD | Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights. | Soyed Tuhin Ahmed, Michael Hefenbrock, Mehdi B. Tahoori |
| 2024 | VTS | NN-ECC: Embedding Error Correction Codes in Neural Network Weight Memories using Multi-task Learning. | Soyed Tuhin Ahmed, Surendra Hemaram, Mehdi B. Tahoori |
| 2023 | DATE | Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation. | Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori |
| 2023 | ETS | Online Fault-Tolerance for Memristive Neuromorphic Fabric Based on Local Approximation. | Soyed Tuhin Ahmed, Roman Rakhmatullin, Mehdi B. Tahoori |
| 2023 | VTS | A Low Overhead Checksum Technique for Error Correction in Memristive Crossbar for Deep Learning Applications. | Surendra Hemaram, Soyed Tuhin Ahmed, Mahta Mayahinia, Christopher Mnch, Mehdi B. Tahoori |
| 2022 | DSD | MVSTT: A Multi-Value Computation-in-Memory based on Spin-Transfer Torque Memories. | Atousa Jafari, Mahta Mayahinia, Soyed Tuhin Ahmed, Christopher Mnch, Mehdi B. Tahoori |
| 2022 | ETS | Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric. | Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Mnch, Mehdi B. Tahoori |
| 2022 | ITC | Compact Functional Test Generation for Memristive Deep Learning Implementations using Approximate Gradient Ranking. | Soyed Tuhin Ahmed, Mehdi B. Tahoori |
| 2022 | VTS | Fault-tolerant Neuromorphic Computing with Functional ATPG for Post-manufacturing Re-calibration. | Soyed Tuhin Ahmed, Mehdi B. Tahoori |
| 2021 | ETS | NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories. | Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Mnch, Mehdi B. Tahoori |