Prof. Syed Kamrul Islam

University of Missouri, Columbia, USA

Email: [email protected]

Qualifications

1994 Ph.D., University of Connecticut, USA

Publications (Selected)

1. Bianco, M. G., Calomino, C., Crasà, M., et al. (2026). Similarity gait networks with XAI for Parkinson's disease classification: A pilot study. Bioengineering, 13(2), Article 151.
2. Paul, T., Hassan, O., McCrae, C. S., et al. (2025). An explainable fusion of ECG and SpO2-based models for real-time sleep apnea detection. Bioengineering, 12(4), Article 382.
3. Paul, T., Hassan, O., Mccrae, C. S., et al. (2024). Lightweight and low-parametric network for hardware inference of obstructive sleep apnea. Diagnostics, 14(22), Article 2505.
4. Pullano, S. A., Oliva, G., Titirsha, T., et al. (2024). Design of an electronic interface for single-photon avalanche diodes. Sensors, 24(17), Article 5568.
5. Shuvo, M. M. H., Titirsha, T., Gonzalez, G. L., et al. (2024). Enhancing personalized blood glucose prediction: Deep learning insights from ablation study on wearable sensor data. IEEE Access, 12, 155259–155273.
6. Oliva, G., Fiorillo, A. S., Islam, S. K., et al. (2023). Detection of propionic acids trapped in thin zeolite layer using thermal desorption analysis. Sensors, 23(17), Article 7352.
7. Shuvo, M. M. H., & Islam, S. K. (2023). Deep multitask learning by stacked long short-term memory for predicting personalized blood glucose concentration. IEEE Journal of Biomedical and Health Informatics, 27(3), 1612–1623.
8. Hassan, O., Paul, T., Amin, N., et al. (2023). An optimized hardware inference of SABiNN: Shift-accumulate binarized neural network for sleep apnea detection. IEEE Transactions on Instrumentation and Measurement, 72, Article 2516311.
9. Shuvo, M. M. H., Islam, S. K., Cheng, J. L., et al. (2023). Efficient acceleration of deep learning inference on resource-constrained edge devices: A review. Proceedings of the IEEE, 111(1), 42–91.
10. Shuvo, M. M. H., Titirsha, T., Amin, N., et al. (2022). Energy harvesting in implantable and wearable medical devices for enduring precision healthcare. Energies, 15(20), Article 7495.
11. Wu, G. F., Zhang, N. N., Matarasso, A., et al. (2022). Implantable aptamer-graphene microtransistors for real-time monitoring of neurochemical release in vivo. Nano Letters, 22(9), 3668–3677.
12. Hassan, O., Paul, T., Shuvo, M. H., et al. (2022). Energy efficient deep learning inference embedded on FPGA for sleep apnea detection. Journal of Signal Processing Systems, 94(6), 609–619.
13. Oh, T., Parvin, D., Hassan, O., et al. (2020). MPPT integrated DC-DC boost converter for RF energy harvester. IET Circuits, Devices & Systems, 14(7), 1086–1091.
14. Shamsir, S., Garcia, F., & Islam, S. K. (2020). Modeling of enhancement-mode GaN-GIT for high-power and high-temperature application. IEEE Transactions on Electron Devices, 67(2), 588–594.
15. Yuan, S., Wang, H. F., Hesari, S. H., et al. (2019). A monolithic low-power highly linear pH measurement system with power conditioning system for medical application. IEEE Transactions on Instrumentation and Measurement, 68(8), 2871–2879.
16. Mahbub, I., Shamsir, S., Pullano, S. A., et al. (2019). Low-power low-data-rate IR-UWB transmitter for paediatric apnoea monitoring system. IET Circuits, Devices & Systems, 13(4), 494–498.
17. Mahbub, I., Shamsir, S., Pullano, S. A., et al. (2019). Design of a charge amplifier for a low-power respiration-monitoring system. IET Circuits, Devices & Systems, 13(4), 499–503.
18. Pullano, S. A., Tasneem, N. T., Mahbub, I., et al. (2019). Deep submicron EGFET based on transistor association technique for chemical sensing. Sensors, 19(5), Article 1063.
19. Garcia, F., Shamsir, S., & Islam, S. K. (2019). A compact model and TCAD simulation for GaN-gate injection transistor (GIT). Solid-State Electronics, 151, 52–59.
20. Hasan, M. S., & Islam, S. K. (2019). DC modelling of SOI four-gate transistor (G4FET) for implementation in circuit simulator using multivariate regression polynomial. IET Circuits, Devices & Systems, 13(1), 12–20.