Cite my work

@article{badami2026quantum,
  author    = {Badami, Shujaatali},
  title     = {Hardware-Agnostic Quantum Kernel Feature Mapping for Anomaly Detection in Critical Infrastructure: A Cross-Testbed Validation on NISQ Processors},
  journal   = {IEEE Access},
  year      = {2026},
  volume    = {14},
  pages     = {1--15},
  doi       = {10.1109/ACCESS.2026.3679234},
  publisher = {IEEE}
}

Badami, S. (2026). Hardware-agnostic quantum kernel feature mapping for anomaly detection in critical infrastructure: A cross-testbed validation on NISQ processors. IEEE Access, 14, 1–15. https://doi.org/10.1109/ACCESS.2026.3679234

S. Badami, "Hardware-Agnostic Quantum Kernel Feature Mapping for Anomaly Detection in Critical Infrastructure: A Cross-Testbed Validation on NISQ Processors," IEEE Access, vol. 14, pp. 1–15, 2026, doi: 10.1109/ACCESS.2026.3679234.

TY  - JOUR
AU  - Badami, Shujaatali
TI  - Hardware-Agnostic Quantum Kernel Feature Mapping for Anomaly Detection in Critical Infrastructure: A Cross-Testbed Validation on NISQ Processors
JO  - IEEE Access
PY  - 2026
VL  - 14
SP  - 1
EP  - 15
DO  - 10.1109/ACCESS.2026.3679234
ER  -

@inproceedings{badami2026vlsi,
  author    = {Badami, Shujaatali and others},
  title     = {AI-Optimized VLSI Architecture for Energy-Efficient and Sustainable IoT Systems},
  booktitle = {IEEE International Conference on Artificial Intelligence and Computing (ICAIC)},
  year      = {2026},
  pages     = {1--6},
  doi       = {10.1109/ICAIC67076.2026.11395694},
  publisher = {IEEE}
}

Badami, S., et al. (2026). AI-optimized VLSI architecture for energy-efficient and sustainable IoT systems. In IEEE International Conference on Artificial Intelligence and Computing (ICAIC) (pp. 1–6). IEEE. https://doi.org/10.1109/ICAIC67076.2026.11395694

@inproceedings{badami2025pos,
  author    = {Badami, Shujaatali},
  title     = {Mitigating Tails Switching in Multibranch Proof-of-Stake Systems: A Quantum-Inspired Approach},
  booktitle = {IEEE International Conference on Blockchain and Trustworthy Systems (ICBATS)},
  year      = {2025},
  pages     = {1--6},
  doi       = {10.1109/ICBATS66542.2025.11258220},
  publisher = {IEEE}
}

Badami, S. (2025). Mitigating tails switching in multibranch proof-of-stake systems: A quantum-inspired approach. In IEEE ICBATS (pp. 1–6). IEEE. https://doi.org/10.1109/ICBATS66542.2025.11258220

@inproceedings{badami2025bootstrap,
  author    = {Badami, Shujaatali},
  title     = {Bootstrap Method for Microcanonical Ensembles in Quantum Systems: Computational Insights and Applications},
  booktitle = {IEEE International Conference on Pervasive Computing and Technology (ICPCT)},
  year      = {2025},
  pages     = {1--6},
  doi       = {10.1109/ICPCT64145.2025.10939270},
  publisher = {IEEE}
}

Badami, S. (2025). Bootstrap method for microcanonical ensembles in quantum systems: Computational insights and applications. In IEEE ICPCT (pp. 1–6). IEEE. https://doi.org/10.1109/ICPCT64145.2025.10939270

@inproceedings{badami2025qriot,
  author    = {Badami, Shujaatali and others},
  title     = {Quantum-Resilient IoT Energy Metering on Blockchain: A Hybrid PQC-AI Framework},
  booktitle = {Springer Next Generation Computing and Communication (NGCCOM)},
  year      = {2025},
  pages     = {1--12},
  doi       = {10.21203/rs.3.rs-8491593/v1},
  publisher = {Springer}
}

Badami, S., et al. (2025). Quantum-resilient IoT energy metering on blockchain: A hybrid PQC-AI framework. In Springer NGCCOM (pp. 1–12). Springer. https://doi.org/10.21203/rs.3.rs-8491593/v1

@article{badami2025gcr,
  author    = {Badami, Shujaatali and others},
  title     = {AI-Driven Green Cognitive Radio Networks for Sustainable 6G},
  journal   = {arXiv preprint arXiv:2512.20739},
  year      = {2025},
  doi       = {10.48550/arXiv.2512.20739}
}

Badami, S., et al. (2025). AI-driven green cognitive radio networks for sustainable 6G. arXiv. https://doi.org/10.48550/arXiv.2512.20739

@inproceedings{badami2024csm,
  author    = {Badami, Shujaatali},
  title     = {Optimizing Reinforcement Learning in Partially Observable Environments Using Compressed Suffix Memory},
  booktitle = {IEEE International Conference on Electronics and Communications Engineering (ICEACE)},
  year      = {2024},
  pages     = {1--6},
  doi       = {10.1109/ICEACE63551.2024.10899025},
  publisher = {IEEE}
}

Badami, S. (2024). Optimizing reinforcement learning in partially observable environments using compressed suffix memory. In IEEE ICEACE (pp. 1–6). IEEE. https://doi.org/10.1109/ICEACE63551.2024.10899025

@inproceedings{badami2024lsm,
  author    = {Badami, Shujaatali},
  title     = {Optimizing LSM Tree Operations with Deferred Updates: A Comparative Study},
  booktitle = {IEEE International Conference on Data Science and Information Technology (DSIT)},
  year      = {2024},
  pages     = {1--6},
  doi       = {10.1109/DSIT61374.2024.10881309},
  publisher = {IEEE}
}

Badami, S. (2024). Optimizing LSM tree operations with deferred updates: A comparative study. In IEEE DSIT (pp. 1–6). IEEE. https://doi.org/10.1109/DSIT61374.2024.10881309

@inproceedings{badami2024onem2m,
  author    = {Badami, Shujaatali},
  title     = {oneM2M-Based Lightweight IoT Interoperability Framework for Constrained Environments},
  booktitle = {IEEE International Conference on Data Science and Information Technology (DSIT)},
  year      = {2024},
  pages     = {1--6},
  doi       = {10.1109/DSIT61374.2024.10882084},
  publisher = {IEEE}
}

Badami, S. (2024). oneM2M-based lightweight IoT interoperability framework for constrained environments. In IEEE DSIT (pp. 1–6). IEEE. https://doi.org/10.1109/DSIT61374.2024.10882084