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
Odema, M., Bouzidi, H., Ouarnoughi, H., Niar, S., & Al Faruque, M. A. (2023). MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment. ACM Transactions on Embedded Computing Systems, 22(5s), 1-26. download pdf
Odema, M., & Al Faruque, M. A. (2023). PrivyNAS: Privacy-Aware Neural Architecture Search for Split Computing in Edge-Cloud Systems. IEEE Internet of Things Journal. 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
Major Conference/Symposium Publications
Odema, M., Ferlez, J., Vaisi, G., Shoukry, Y., & Al Faruque, M. A. (2023, May). Energyshield: Provably-safe offloading of neural network controllers for energy efficiency. In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023) (pp. 187-198). download pdf
Zhang, Yifan, et al. “CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion.” 2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED). IEEE, 2023. download pdf
Odema, Mohanad, et al. “Seo: Safety-aware energy optimization framework for multi-sensor neural controllers at the edge.” 2023 60th ACM/IEEE Design Automation Conference (DAC). IEEE, 2023. download pdf
Bouzidi, Halima, et al. “Map-and-conquer: Energy-efficient mapping of dynamic neural nets onto heterogeneous MPSoCs.” 2023 60th ACM/IEEE Design Automation Conference (DAC). IEEE, 2023. download pdf
Bouzidi, H., Odema, M., Ouarnoughi, H., Al Faruque, M. A., & Niar, S. (2023, April). HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1-6). IEEE. download pdf
Wang, Junyao, Luke Chen, and Mohammad Abdullah Al Faruque. “DOMINO: Domain-Invariant Hyperdimensional Classification for Multi-Sensor Time Series Data.” 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD). IEEE, 2023. download pdf
Yu, S. Y., Achamyeleh, Y. G., Wang, C., Kocheturov, A., Eisen, P., & Al Faruque, M. A. (2023, May). Cfg2vec: Hierarchical graph neural network for cross-architectural software reverse engineering. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (pp. 281-291). IEEE. download pdf