2024
M. M. H. Shuvo, T. Titirsha, G. L. Gonzalez and S. K. Islam, "Enhancing Personalized Blood Glucose Prediction: Deep Learning Insights from Ablation Study on Wearable Sensor Data," in IEEE Access, 2024, doi: 10.1109/ACCESS.2024.3485550.
S. A. Pullano, G. Oliva, T. Titirsha, M. M. H. Shuvo, S. K. Islam, F. Laganà, A. La Gatta, A. S. Fiorillo, "Design of an Electronic Interface for Single-Photon Avalanche Diodes," vol. 24, no. 17, p. 5568, 2024.
T. Titirsha, M. M. H. Shuvo, S. K. Islam, "Reliability Analysis of Phase Change Memory-Based Neuromorphic Circuits," IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, Tennessee, USA, 2024.
M. M. H. Shuvo, T. Titirsha, G. Oliva, S. A. Pullano, S. K. Islam, "Long-Term Predictive Analytics of Continuous Glucose Sensing for Enhanced Glycemic Control," IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, Tennessee, USA, 2024.
T. Titirsha, M. M. H. Shuvo, S. Akter, S. K. Islam, "Hill Climbing for Efficient Spiking Neural Network Acceleration on Neuromorphic Chips," IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), Springfield, Massachusetts, USA, 2024.
T. Titirsha, M. M. H. Shuvo, M. M. Hossain, S. Singha, S. Eliza, S. K. Islam, "Analytical Current-Voltage (I-V) Modeling of Double-Gate Vertical Fin-Shaped Ga2O3 Power Transistors," 7th United States Gallium Oxide Workshop (GOX 2024), Columbus, Ohio, USA, 2024.
M.M.H. Shuvo, T. Titirsha, K. S. M. T. Hossain, G. L. Gonzalez, S.K. Islam, “Enhancing Personalization and Mitigating Inter-Patient Variability in Continuous Blood Glucose Prediction Using Multi-Task Deep LSTMs,” IEEE MeMeA, Netherlands, 2024 .
G. Oliva, A.S. Fiorillo, F. Laganà, M.M.H. Shuvo, S.K. Islam, S.A. Pullano, "Development of a sensor based on a thin layer of zeolite to monitor plant health through VOC analysis," XXII National Conference on Sensors and Microsystems (AISEM 2024), Italy, pp. 151-152, 2024.
T. Titirsha, M.M.H. Shuvo, J.M. Gahl, and S. K. Islam, "Physics-Based Modeling of Surface Potential and Leakage Current for Vertical $Ga_2O_3$ FinFET," Journal of Applied Physics, vol. 135, no. 2, 2024.
2023
M. M. H. Shuvo, S. K. Islam, "Deep Multitask Learning by Stacked Long Short-Term Memory for Predicting Personalized Blood Glucose Concentration," IEEE Journal of Biomedical and Health Informatics, vol. 27, issue 3, March 2023. doi: 10.1109/JBHI.2022.3233486.
M. M. H. Shuvo, S. K. Islam, J. Cheng and B. I. Morshed, "Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review," in Proceedings of the IEEE, vol. 111, no. 1, pp. 42-91, Jan. 2023, doi: 10.1109/JPROC.2022.3226481.
M.M. Hossain, M.M.H. Shuvo, T. Titirsha, and S.K. Islam, "Modeling of Enhancement Mode HEMT with Π-Gate Optimization for High Power Applications," International Journal of High Speed Electronics and Systems, 32(02n04), p.2350006, 2023.
M. M. H. Shuvo, M. M. Hossain, O. Hassan, and S. K. Islam, "Predictive Modeling of Blood Glucose Dynamics in Type-I Diabetes for Next-Generation AI-Enabled Wearable Medical Devices," Connecticut Symposium on Microelectronics & Optoelectronics, 2023.
S. Shamsir, T. Titirsha, M. M. H. Shuvo, J. N. Pae, L. M. Tolbert, S. K. Islam, "Electrothermal Modeling and Large Signal Analysis of GaN HEMT in Circuit Realization," Lester Eastman Conference on High Performance Devices, 2023.
S. A. Pullano, G. Oliva, T. Titirsha, M. M. H. Shuvo, S. K. Islam, A. La Gatta, A. S. Fiorillo, "Enhancing Single Photon Detection: An Optimized Electronic Interface for Avalanche Diode," Lester Eastman Conference on High Performance Devices, 2023.
T. Titirsha, M. M. H. Shuvo, M. M. Hossain, Q. Huang, J. Gahl, and S. K. Islam, "Two-Dimensional Analytical Modeling of Surface Potential of a Double-Gate Vertical Fin-Shaped Ga2O3 Power Transistor," 6th U.S. Workshop on Gallium Oxide (GOX), 2023.
M. M. H. Shuvo, T. Titirsha, and S. K. Islam, "Unraveling the Potential of Heart Rate Variability for Type 1 Diabetes Prediction," International Workshop on Biomedical Applications, Technologies and Sensors (BATS), 2023.
2022
M. M. H. Shuvo, N. Ahmed, H. Islam, K. Alaboud, J. Cheng, A. S. M. Mosa, S. K. Islam, "Machine Learning Embedded Smartphone Application for Early-Stage Diabetes Risk Assessment," 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022, pp. 1-6, doi: 10.1109/MeMeA54994.2022.9856420.
O. Hassan, T. Paul, R. Thakker, D. Parvin, M. M. H. Shuvo, A. S. M. Mosa, S. K. Islam, "A Multi-Sensor Based Automatic Sleep Apnea Detection System for Adults Using Neural Network Inference on FPGA," 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022, pp. 1-6, doi: 10.1109/MeMeA54994.2022.9856509.
O. Hassan, T. Paul, M.M.H. Shuvo, D. Parvin, R. Thakker, M. Chen, S.K. Islam, "Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea Detection," Journal of Signal Processing Systems, pp. 1-11, 2022.
M.M.H. Shuvo “Edge AI: Leveraging the Full Potential of Deep Learning,” Recent Innovations in Artificial Intelligence and Smart Applications, Chapter 2, Springer, 2022.
M.M.H. Shuvo, T. Titirsha, N. Amin, S.K. Islam, "Energy Harvesting in Implantable and Wearable Medical Devices for Enduring Precision Healthcare," Energies 2022, 15, 7495. https://doi.org/10.3390/en15207495
2021
M.M.H. Shuvo, O. Hassan, D. Parvin, M. Chen, S.K. Islam, "An Optimized Hardware Implementation of Deep Learning Inference for Diabetes Prediction," IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1-6, 2021.
M.M.H. Shuvo, Y.M. Kassim, F. Bunyak, O.V. Glinskii, L. Xie, V.V. Glinsky, V.H. Huxley, and K. Palaniappan, “Multi-focus Image Fusion for Confocal Microscopy using U-Net Regression Map,” in Proc. of 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 2021.
2014-2020
M.M.H. Shuvo, N. Ahmed, R. Nouduri, and K. Palaniappan, “A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network,” in Proc. of 49th Applied Imagery Pattern Recognition (AIPR) Workshop, Washington, D.C., USA, 2020.
M. M. Islam and M. M. H. Shuvo, "DenseNet Based Speech Imagery EEG Signal Classification using Gramian Angular Field," 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2019, pp. 149-154, doi: 10.1109/ICAEE48663.2019.8975572.
K.M. Mahmud, and M.M.H. Shuvo, "Simulation Study of Microwave Heating with Nanoparticle Diffusion for Tumor Ablation," International Journal Bioautomation, vol. 23, no. 4, p. 421, 2019.
P. Sarker, M. M. H. Shuvo, Z. Hossain and S. Hasan, "Segmentation and classification of lung tumor from 3D CT image using K-means clustering algorithm," 4th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2017, pp. 731-736, doi: 10.1109/ICAEE.2017.8255451.
Z. Hossain, M. M. H. Shuvo and P. Sarker, "Hardware and software implementation of real time electrooculogram (EOG) acquisition system to control computer cursor with eyeball movement," 4th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2017, pp. 132-137, doi: 10.1109/ICAEE.2017.8255341.
T. Tasnim, M. M. H. Shuvo and S. Hasan, "Study of speckle noise reduction from ultrasound B-mode images using different filtering techniques," 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2017, pp. 229-234, doi: 10.1109/ICAEE.2017.8255358.
F. -T. Johra and M. M. H. Shuvo, "Detection of breast cancer from histopathology image and classifying benign and malignant state using fuzzy logic," 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, Bangladesh, 2016, pp. 1-5, doi: 10.1109/CEEICT.2016.7873137.
T. Rahman, A.K. Ghosh, M.M.H. Shuvo, and M.M. Rahman, “Mental Stress recognition using K- Nearest Neighbor algorithms on EEG signals,” in Proc. of International Conference on Materials, Electronics and Information Engineering (ICMEIE), Bangladesh, 2015.
M.M.H. Shuvo, A.B.M.A. Hossain, and K. C. Roy, "Simulation Study of Strain Imaging Using Nonlinear Ultrasound Radio Frequency Signals," in Proc. of 9th International Forum on Strategic Technology (IFOST), Bangladesh, 2014.
M.M.H. Shuvo, A.B.M.A. Hossain, and K.C. Roy, “Ultrasound Strain Imaging using mutual information-based delay estimation,” in Proc. of 17th International Conference on Computer & Information Technology (ICCIT), Bangladesh, 2014.