Shakil Mahmud - Scholarly Work

Publications

S. Mahmud, F. Zareen, B. Olney, and R. Karam, “Enhancing the Reliability of Closed-Loop Medical Systems with Real-Time Biosignal Modeling,” Journal of Hardware and Systems Security, vol. 8, no. 1, pp. 12–24, 2024. (DOI: https://doi.org/10.1007/s41635-023-00140-4)
S. Ahmed, S. Mahmud, and R. Karam, “Modular Security Evaluation Platform for Physiological Closed-Loop Control Systems,” in Proceedings of the Great Lakes Symposium on VLSI 2024, 2024, pp. 682–687. (DOI: https://doi.org/10.1145/3649476.3660362)
S. Mahmud, M. Keller, S. Ahmed, and R. Karam, “FAMID: false alarms mitigation in IoMT devices,” in IFIP International Internet of Things Conference, Springer, 2023, pp. 199–217. (DOI: https://doi.org/10.1007/978-3-031-45878-1_14)
S. Mahmud, S. Ahmed, and R. Karam, “PEP: Hardware Emulation Platform for Physiological Closed-Loop Control Systems,” in IFIP International Internet of Things Conference, Springer, 2023, pp. 410–417. (DOI: https://doi.org/10.1007/978-3-031-45882-8_30)
S. Mahmud, F. Zareen, B. Olney, R. Karam, and others, “Trojan resilience in implantable and wearable medical devices with virtual biosensing,” in 2022 IEEE 40th International Conference on Computer Design (ICCD), IEEE, 2022, pp. 577–584. (DOI: https://doi.org/10.1109/ICCD56317.2022.00091)
B. Olney, S. Mahmud, M. A. Zaman, and R. Karam, “An eda framework for design space exploration of on-chip ai in bioimplantable applications,” in 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS), IEEE, 2022, pp. 1–4. (DOI: https://doi.org/10.1109/MWSCAS54063.2022.9859332)
B. Olney, S. Mahmud, and R. Karam, “Efficient nonlinear autoregressive neural network architecture for real-time biomedical applications,” in 2022 IEEE 4th International Conference on Artificial Intelligence Circuits & Systems (AICAS), IEEE, 2022, pp. 411–414. (DOI: https://doi.org/10.1109/AICAS54282.2022.9869935)
S. Mahmud, B. Olney, and R. Karam, “An extensible evaluation platform for FPGA bitstream obfuscation security,” in 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), IEEE, 2021, pp. 120–125. (DOI: https://doi.org/10.1109/ISVLSI51109.2021.00032)
V. R. Laguduva, S. Mahmud, S. N. Aakur, R. Karam, and S. Katkoori, “Dissecting convolutional neural networks for efficient implementation on constrained platforms,” in 2020 33rd International Conference on VLSI Design and 2020 19th International Conference on Embedded Systems (VLSID), IEEE, 2020, pp. 149–154. (DOI: https://doi.org/10.1109/VLSID49098.2020.00043)
B. Olney, S. Mahmud, and R. Karam, “Evaluating edge processing requirements in next generation iot network architectures,” in IFIP International Internet of Things Conference, Springer International Publishing Cham, 2019, pp. 252–269. (DOI: https://doi.org/10.1007/978-3-030-43605-6_15)
S. Mahmud, B. Olney, and R. Karam, “Architectural diversity: Bio-inspired hardware security for FPGAs,” in 2018 IEEE 3rd International verification and security workshop (IVSW), IEEE, 2018, pp. 48–51. (DOI: https://doi.org/10.1109/IVSW.2018.8494854)
S. Mahmud, S. J. Majerus, M. S. Damaser, and R. Karam, “Design tradeoffs in bioimplantable devices: a case study with bladder pressure monitoring,” in 2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS), IEEE, 2018, pp. 69–72. (DOI: https://doi.org/10.1109/IOLTS.2018.8474106)

PhD Thesis

S. Mahmud, “Enhancing the Safety and Reliability of Closed-Loop Medical Control Systems,” PhD Thesis, University of South Florida, 2023.

Patent

R. Karam and S. Mahmud. “Systems and Methods for Real-time Biosensor Output Confirmation using AI-based Biosignal Modeling.” US Patent 63,447,192, filed February 21, 2023. (Patent pending)

Poster Presentations

S. Mahmud and R. Karam. “Safety and Reliability Enhancement of Closed-loop Medical Devices using Machine Learning,” in USF Health Research Day, University of South Florida, Tampa, Florida, 2022.
S. Mahmud and R. Karam. “Modeling Implantable Biosensor’s Behavior in the Presence of Hardware Trojans,” in Graduate Student Research Symposium, University of South Florida, Tampa, Florida, 2021.
S. Mahmud and R. Karam. “Hardware Security for FPGAs and Medical Devices in the Internet of Things,” in 2nd IFIP International IoT Conference, Tampa, Florida, 2019.
B. Olney, S. Mahmud, and R. Karam. “Real-time Image Processing at the Edge,” in Warren B. Nelms Annual IoT Conference, Gainesville, Florida, 2019.
S. Mahmud and R. Karam. “Measuring Side-Channel Information Leakage from Obfuscated Hardware IP on FPGA,” in Florida Cyber Conference, Tampa, Florida, 2019.
B. Olney, S. Mahmud, F. Zareen, and R. Karam. “Introduction to Hardware Security,” in Week of Welcome (WOW) Event, University of South Florida, Tampa, Florida, 2019.
S. Mahmud and R. Karam. “Power Analysis Attack and Countermeasure for FPGA Bitstream Obfuscation,” in Florida Institute for Cybersecurity (FICS) conference, Gainesville, Florida, 2019.
V. R., Laguduva, S. Mahmud, B. Olney, S. Katkoori, and R. Karam. “A Survey of Hardware Security Primitives Using Memristors,” in the Florida Institute for Cybersecurity (FICS) conference, Gainesville, Florida, 2018.

Hardware Demonstrations

S. Mahmud and R. Karam. “Electromagnetic Side-channel Analysis,” in Week of Welcome Event (Virtual), University of South Florida, Tampa, Florida, 2020.
S. Mahmud, B. Olney, F. Zareen, and R. Karam. “Side-channel Analysis: Breaking Advanced Encryption Standard (AES) using ChipWhisperer,” in Week of Welcome Event, University of South Florida, Tampa, Florida, 2019.
B. Olney and S. Mahmud. “Real-time Image Processing at the Edge,” in Warren B. Nelms IoT Conference, Gainesville, Florida, 2019.
S. Mahmud and M. Hasan. “LED and Motor activated by voice using condenser mic and transistor amplifier,” in Student Project Symposium, Ahsanullah University of Science and Technology, Dhaka, 2013.