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Danny Abraham, Biswadip Maity, Bryan Donyanavard, and Nikil Dutt. 2025. Runtime Adaptivity for Efficient Neural Network Inference on Autonomous Systems. ACM Trans. Embed. Comput. Syst. 24, 6, Article 162 (November …

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.