EA^2 by Hamid Presented at ISLPED ’24
Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt. 2024. EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. In Proceedings of the 29th ACM/IEEE …
DRG-Lab Webpage
Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt. 2024. EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. In Proceedings of the 29th ACM/IEEE …
H. Alikhani et al., “ISCA: Intelligent Sense-Compute Adaptive Co-optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables,” in IEEE Design & Test, doi:10.1109/MDAT.2024.3469828.
P. -X. Chen, D. Seo and N. Dutt, “FDPFS: Leveraging File System Abstraction for FDP SSD Data Placement,” in IEEE Embedded Systems Letters, vol. 16, no. 4, pp. 349-352, Dec. …
Dongjoo Seo, Yongsoo Joo, and Nikil Dutt. 2024. Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux. In Proceedings of the 16th ACM Workshop on Hot Topics …
Ping-Xiang Chen, Dongjoo Seo, Biswadip Maity, and Nikil Dutt. 2024. KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems. In Proceedings of the Great Lakes Symposium on VLSI …
D. Abraham, B. Maity, B. Donyanavard and N. Dutt, “Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems,” 2024 Design, Automation & Test in Europe Conference & …
Yi, Saehanseul, and Nikil Dutt. “BoostIID: Fault-agnostic Online Detection of WCET Changes in Autonomous Driving.” 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC). IEEE, 2024.
Welcome to Irvine! Professor Andreas Herkersdorf.
Reference Links: https://www.linkedin.com/posts/esweek_esweek-activity-7110719565159878659-v_YX?utm_source=share&utm_medium= https://esweek.org/awards-2/