Patents
P. Tseng, M. A. Al Faruque, F. Kurdahi, “Tracking Diet and Nutrition with a Wearable Biological Internet of Things“, WO 2020/102713 A9, Publication Date 05/22/2020.
Journal/Transaction Publications
Demirel, Berken Utku, Luke Chen, and Mohammad Abdullah Al Faruque. “Data-driven Energy-efficient Adaptive Sampling Using Deep Reinforcement Learning.” ACM Transactions on Computing for Healthcare 4.3 (2023): 1-19. download pdf
Rashid, N., Mortlock, T., & Al Faruque, M. A. (2023). Stress Detection using Context-Aware Sensor Fusion from Wearable Devices. IEEE Internet of Things Journal. download pdf
Taherisadr, Mojtaba, Mohammad Abdullah Al Faruque, and Salma Elmalaki. “Erudite: Human-in-the-loop iot for an adaptive personalized learning system.” IEEE Internet of Things Journal (2023). download pdf
B. U. Demirel, I. A. Bayoumy, M. A. Al Faruque, “Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud Internet-of-Medical-Things”, published in the IEEE Internet of Things Journal, 2021. download pdf
N. Rashid, B. U. Demirel, M. A. Al Faruque, “AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices”, published in the IEEE Internet of Things Journal, 2021. download pdf
M. Dautta, A. Jimenez, K. K. H. Dia, N. Rashid, M. A. Al Faruque, P. Tseng, “Wireless Qi-powered, Multinodal and Multisensory Body Area Network for Mobile Health”, accepted to be published in the IEEE Internet of Things Journal, 2020. download pdf
N. Rashid, M. Dautta, P. Tseng, M. A. Al Faruque, “HEAR: Fog-enabled Energy Aware Online Human Eating Activity Recognition”, accepted to be published in the IEEE Internet of Things Journal, 2020. download pdf
Major Conference/Symposium Publications
Nafiul Rashid, Trier Mortlock, M. A. Al Faruque. “SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection” accepted to the 2020 18th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 2022. download pdf
Berken Utku Demirel, Ivan Skelin, Haoxin Zhang, Jack J. Lin, Mohammad Abdullah Al Faruque, “Single-Channel EEG Based Arousal Level Estimation Using Multitaper Spectrum Estimation at Low-Power Wearable Devices”, accepted to the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021). download pdf
Wenrui Lin, Berken Utku Demirel, Mohammad Abdullah Al Faruque, G.P. Li, “Energy-efficient Blood Pressure Monitoring based on Single-site Photoplethysmogram on Wearable Devices”, accepted to the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021). download pdf
Nafiul Rashid, Luke Chen, Manik Dautta, Abel Jimenez, Peter Tseng, Mohammad Abdullah Al Faruque, “Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor“, accepted to the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021). download pdf
Mohanad Odema, Nafiul Rashid, Mohammad Abdullah Al Faruque, “EExNAS: Early-Exit Neural Architecture Search Solutions for Low-Power Wearable Devices”, accepted to ACM /IEEE International Symposium on Low Power Electronics and Design (ISLPED 2021). download pdf
Salma Elmalaki, Berken Utku Demirel, Mojtaba Taherisadr, Sara Stern-Nezer, Jack J. Lin, Mohammad Al Faruque, “Towards Internet-of-Things for Wearable Neurotechnology” accepted to The International Symposium on Quality Electronic Design (ISQED 2021). download pdf
M. Odema, N. Rashid, M. A. Al Faruque, “Energy-Aware Design Methodology for Myocardial Infarction Detection on Low-power Wearables Devices”, accepted to IEEE/ACM 26th Asia and South Pacific Design Automation Conference (ASP-DAC 2021). download pdf
N. Rashid, M. A. Al Faruque, “Energy-efficient Real-time Myocardial Infarction Detection on Wearable Devices“, accepted to be published in the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’20), Montreal, Canada, 2020 download pdf