Akash Kumar

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Publications (238)

• FedALAQ: Federated Adaptive Layer-Wise Aggregation With Quantization
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2026.3725477
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• XRel-Graph: Graph Learning-Driven Cross-Layer Reliability Management in Embedded Mixed-Criticality Systems
  2026 DOI: 10.1145/3770743.3804338
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• EAGEL: Explainable And Generalized Structural Exploitation Against Logic Locking
  2026 DOI: 10.1145/3787109.3815258
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• Transient Modeling of Nonlinear Components Using Global Gated Deep Recurrent Neural Network Masked With Dropout
  IEEE Transactions on Components, Packaging and Manufacturing Technology 2026 DOI: 10.1109/TCPMT.2026.3663717
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• Structurally Secure Obfuscation: Assessing and Mitigating Structural Vulnerabilities in Circuits Obfuscation
  ACM Transactions on Design Automation of Electronic Systems 2026 DOI: 10.1145/3772062
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• C-SIMD: CORDIC-Driven SIMD Processing Element for Resource-Efficient Multi-Precision Deep Learning Inference
  Vasundhara Trivedi, Gopal Raut, Baker S. Mohammad +2 more
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3653253
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• Cross-Layer Approximation and In-Network Acceleration
  2026 DOI: 10.1007/978-3-032-21712-7
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• Mixed-Precision Logarithmic Quantization for Efficient Neural Network Inference on FPGAs
  IEEE Embedded Systems Letters 2026 DOI: 10.1109/LES.2026.3730233
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• RepGhostFAS: Lightweight and Efficient Face Anti-Spoofing for Internet-of-Things (IoT) and Edge Devices
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2026.3733820
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• X-DINC: Toward Cross-Layer ApproXimation for theDistributed and In-Network ACceleration of Multi-Kernel Applications
  Future Generation Computer Systems 2025 DOI: 10.1016/j.future.2025.107864
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• EMGAxO: Extending Machine Learning Hardware Generators With Approximate Operators
  IEEE Embedded Systems Letters 2025 DOI: 10.1109/LES.2025.3600043
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• MdCSR: A Memory-Efficient Sparse Matrix Compression Format
  IEEE Embedded Systems Letters 2025 DOI: 10.1109/LES.2025.3598189
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• Design, Model, and Explore Approximate Arithmetic Operators with AI/ML: A Tutorial
  2025 DOI: 10.1145/3742872.3758332
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• Special Sessions - Emerging Scope and Design Challenges for Approximate Computing: Optimizing Accuracy-PPA trade-offs and Beyond
  2025 DOI: 10.1145/3742872.3757056
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• Flip-Break: Breaking Flip-flop-based Logic Locking in Sequential Circuits
  2025 DOI: 10.1145/3716368.3735189
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• Fast Retraining of Approximate CNNs for High Accuracy
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2025 DOI: 10.1109/TCAD.2024.3483091
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• Analytical Uncertainty Propagation in Neural Networks
  IEEE Transactions on Neural Networks and Learning Systems 2025 DOI: 10.1109/TNNLS.2023.3347156
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• Efficient Post-training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
  2025 DOI: 10.1007/978-3-031-78380-7_8
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• GNN-MiCS: Graph Neural-Network-Based Bounding Time in Embedded Mixed-Criticality Systems
  IEEE Embedded Systems Letters 2025 DOI: 10.1109/LES.2024.3466268
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• MONO: Enhancing Bit-Flip Resilience With Bit Homogeneity for Neural Networks
  IEEE Embedded Systems Letters 2024 DOI: 10.1109/LES.2024.3444921
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