Short Bio

Soyed has received his bachelor's in Electrical and Electronics Engineering from American International University Bangladesh with Summa Cum Laude and University Gold Medal in 2016 (around a year earlier than the expected completion time). During his bachelor's, he was actively participating in IEEE region 10 and Engineering Student Associations of Bangladesh activities at his university. He has received his master's in Communication Engineering from Technische Universität München (TUM) in the fall 2019/2020 semester. During his master's degree, he was a research intern at the chair of design automation (Lehrstuhl für Entwurfsautomatisierung) under the supervision of Apl. Prof. Dr.-Ing. habil. Helmut Gräb (IEEE Fellow) and Robert Bosch Corporate Research in Renningen, Germany. Also, he has worked part-time at Infineon Technologies AG as a software engineer. In his master thesis, he has studied the soft error resiliency of peripheral modules of embedded SoC in safety-critical applications under the supervision of Prof. Ulf Schlichtmann and Daniel Müller-Gritschneder. He has joined the CDNC group of Professor Tahoori (IEEE Fellow) at KIT University, Karlsruhe, Germany in September 2020. His current research interests are neuromorphic computing, resilient hardware accelerator for machine learning, robust and accurate deep learning, hardware architectures for neural network applications, computation in memory, and emerging memory computing paradigms.

Publications

Journals
Soyed Tuhin Ahmed and Mehdi B. Tahoori Fault-tolerant Neuromorphic Computing with Memristors Using Functional ATPG for Efficient Re-calibration in IEEE Design & Test, 2023. [Revised Publication for Top Picks from the 40th IEEE VTS 2022]
Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori NeuroScrub+: Mitigating Retention Faults Using Flexible Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022.
Soyed Tuhin Ahmed, M Mayahinia, M Hefenbrock, C Münch, MB Tahoori Design-Time Reference Current Generation for Robust Spintronic-Based Neuromorphic Architecture in ACM Journal on Emerging Technologies in Computing Systems 20 (JETC), 2024.
Soyed Tuhin Ahmed, Mehdi B. Tahoori One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
Ahmed, Soyed Tuhin; Danouchi, Kamal; Hefenbrock, Michael; Prenat, Guillaume; Anghel, Lorena; Tahoori, Mehdi B. Algorithm-Hardware Co-Design for Uncertainty Estimation on Spintronic-Based Architectures in ACM Transactions on Embedded Computing System (EsWeek Special Issue), 2023.
Soyed Tuhin Ahmed , Kamal Danouchi, Christopher Münch, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori SpinDrop: Dropout-Based Bayesian Binary Neural Networks with spintronic Implementation in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023.

Conferences
Soyed Tuhin Ahmed, Kamal Danouchi, Christopher Münch, Guillaume Prenat, Lorena Anghel, Mehdi B Tahoori Binary Bayesian Neural Networks for Efficient Uncertainty Estimation Leveraging Inherent Stochasticity of Spintronic Devices IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2022.
S. T. Ahmed, M. Hefenbrock, C. Münch, M. Tahoori NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories in Proceedings of the European Test Symposium (ETS), 2021.
Soyed Tuhin Ahmed, Surendra Hemaram, Mehdi B. Tahoori Embedding Neural Network Parameters with Self Error Correcting Coding using Multi-task Learning in 42nd VLSI Test Symposium (VTS), 2024.
Soyed Tuhin Ahmed, K Danouchi, G Prenat, L Anghel, MB Tahoori NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI in Design, Automation and Test in Europe (DATE), 2024.
ST Ahmed, K Danouchi, G Prenat, L Anghel, MB Tahoori Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations in Design, Automation and Test in Europe (DATE), 2024.
Soyed Tuhin Ahmed, Roman Rakhmatullin, Mehdi B. Tahoori Online Fault-Tolerance for Memristive Neuromorphic Fabric Based on Local Approximation in 28th IEEE European Test Symposium, 2023.
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation in Design, Automation and Test in Europe Conference, 2023.
Soyed Tuhin Ahmed, Mehdi B. Tahoori Compact Functional Test Generation for Memristive Deep Learning Implementations using Approximate Gradient Ranking IEEE International Test Conference (ITC), 2022.
Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, and Mehdi B. Tahoori Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric IEEE European Test Symposium (ETS), 2022.
Soyed Tuhin Ahmed, Mehdi B. Tahoori Fault-tolerant Neuromorphic Computing with Functional ATPG for Post-manufacturing Re-calibration 40th VLSI Test Symposium (VTS), 2022.

arXiv
Soyed Tuhin Ahmed, K Danouchi, G Prenat, L Anghel, MB Tahoori Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint arXiv preprint arXiv:2401.01458, 2024.
Soyed Tuhin Ahmed, K Danouchi, G Prenat, L Anghel, MB Tahoori Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks arXiv preprint arXiv:2401.04744, 2024.
Ahmed, Soyed Tuhin, Mehdi B. One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection arXiv preprint arXiv:2305.09348, 2023.
Ahmed, Soyed Tuhin; Danouchi, Kamal; Hefenbrock, Michael; Prenat, Guillaume; Anghel, Lorena; Tahoori, Mehdi B. Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation arXiv preprint arXiv:2306.10185, 2023.

Other
Ahmed, Soyed Tuhin; Danouchi, Kamal; Münch, Christopher; Prenat, Guillaume; Anghel, Lorena; Tahoori, Mehdi B. SpinDrop: Dropout-Based Bayesian Binary Neural Networks with spintronic Implementation TechRxiv, DOI, 2022.

PhD-Forum
Soyed Tuhin Ahmed Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning in Design, Automation and Test in Europe (DATE), 2024.
Soyed Tuhin Ahmed Reliable Memristive Neuromorphic In-Memory Computing: An Algorithm-Hardware Co-Design Approach in Design, Automation and Test in Europe Conference, 2023.

Thesis and internship topics are available on

Test and reliability aspect of Neuromorphic in-memory Computing.
Model compression for deep learning applications
Bayesian neural networks