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ORCIDSina Shahhosseini
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2020 – today
- 2025
[j5]Hamidreza Alikhani
, Anil Kanduri, Emad Kasaeyan Naeini, Sina Shahhosseini, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables. IEEE Des. Test 42(2): 25-34 (2025)- 2023
- [b1]Sina Shahhosseini:
Online Learning for Orchestrating Deep Learning Inference at Edge. University of California, Irvine, USA, 2023 - 2022
- [j4]Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Exploring computation offloading in IoT systems. Inf. Syst. 107: 101860 (2022) - [j3]Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. ACM Trans. Embed. Comput. Syst. 21(6): 73:1-73:25 (2022) - [c11]Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. DATE 2022: 1455-1460 - [c10]Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt:
Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI 2022: 357-360 - [c9]Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani:
Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD 2022: 652-655 - [c8]Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. ISQED 2022: 1-6 - [i7]Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks. CoRR abs/2202.10541 (2022) - [i6]Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. CoRR abs/2202.11098 (2022) - [i5]Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani:
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR abs/2208.01095 (2022) - [i4]Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. CoRR abs/2208.02597 (2022) - 2021
- [j2]Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography. J. Signal Process. Syst. 93(10): 1139-1148 (2021) - [c7]Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt:
Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. AICAS 2021: 1-4 - [i3]Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems. CoRR abs/2112.08176 (2021) - 2020
- [c6]Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt:
Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems. COINS 2020: 1-6 - [c5]Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. ICASSP 2020: 1539-1543 - [c4]Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Nader Bagherzadeh:
Partition Pruning: Parallelization-Aware Pruning for Dense Neural Networks. PDP 2020: 307-311
2010 – 2019
- 2019
- [c3]Emad Kasaeyan Naeini, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, Nikil D. Dutt:
An Edge-Assisted and Smart System for Real-Time Pain Monitoring. CHASE 2019: 47-52 - [c2]Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Dynamic Computation Migration at the Edge: Is There an Optimal Choice? ACM Great Lakes Symposium on VLSI 2019: 519-524 - [i2]Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh:
Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks. CoRR abs/1901.11391 (2019) - [i1]Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. IACR Cryptol. ePrint Arch. 2019: 1297 (2019) - 2018
- [j1]Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt:
On the feasibility of SISO control-theoretic DVFS for power capping in CMPs. Microprocess. Microsystems 63: 249-258 (2018) - 2017
- [c1]Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt:
Dependability evaluation of SISO control-theoretic power managers for processor architectures. NORCAS 2017: 1-6
Coauthor Index
aka: Amir M. Rahmani
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