| SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness H Alikhani, Z Wang, A Kanduri, P Liljeberg, AM Rahmani, N Dutt Proceedings of the IEEE/ACM Design, Automation and Test in Europe Conference …, 2024 | 10 | 2024 |
| Learning-Oriented QoS-and Drop-Aware Task Scheduling for Mixed-Criticality Systems B Ranjbar, H Alikhani, B Safaei, A Ejlali, A Kumar Computers 11 (7), 101, 2022 | 5 | 2022 |
| Edge-centric Optimization of Multi-modal ML-driven eHealth Applications A Kanduri, S Shahhosseini, EK Naeini, H Alikhani, P Liljeberg, N Dutt, ... Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use …, 2023 | 4 | 2023 |
| DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference H Alikhani, A Kanduri, P Liljeberg, AM Rahmani, N Dutt IEEE Embedded Systems Letters, 2023 | 3 | 2023 |
| EA^ 2: Energy Efficient Adaptive Active Learning for Smart Wearables H Alikhani, Z Wang, A Kanduri, P Liljeberg, AM Rahmani, N Dutt Proceedings of the 29th ACM/IEEE International Symposium on Low Power …, 2024 | | 2024 |
| Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing S Shahhosseini, Y Ni, H Alikhani, EK Naeini, M Imani, N Dutt, ... arXiv preprint arXiv:2208.01095, 2022 | | 2022 |
Anil KanduriUniversity of TurkuVerified email at utu.fi