Sina Shahhosseini

According to our database, Sina Shahhosseini authored at least 21 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables.

Hamidreza Alikhani, Anil Kanduri, Emad Kasaeyan Naeini, Sina Shahhosseini, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt

IEEE Des. Test, April, 2025

2023

Online Learning for Orchestrating Deep Learning Inference at Edge

Sina Shahhosseini

PhD thesis, 2023

2022

Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks.

Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt

ACM Trans. Embed. Comput. Syst., November, 2022

Exploring computation offloading in IoT systems.

Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

Inf. Syst., 2022

Edge-centric Optimization of Multi-modal ML-driven eHealth Applications.

Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

CoRR, 2022

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing.

Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani

CoRR, 2022

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks.

Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks.

Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing.

Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems.

Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography.

Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt

J. Signal Process. Syst., 2021

AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems.

Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt

CoRR, 2021

Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness.

Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, Dongjoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Partition Pruning: Parallelization-Aware Pruning for Dense Neural Networks.

Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Nader Bagherzadeh

Proceedings of the 28th Euromicro International Conference on Parallel, 2020

Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems.

Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the 2020 International Conference on Omni-layer Intelligent Systems, 2020

2019

Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors.

Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt

IACR Cryptol. ePrint Arch., 2019

Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks.

Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh

CoRR, 2019

Dynamic Computation Migration at the Edge: Is There an Optimal Choice?

Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

An Edge-Assisted and Smart System for Real-Time Pain Monitoring.

Emad Kasaeyan Naeini, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019

2018

On the feasibility of SISO control-theoretic DVFS for power capping in CMPs.

Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt

Microprocess. Microsystems, 2018

2017

Dependability evaluation of SISO control-theoretic power managers for processor architectures.

Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the IEEE Nordic Circuits and Systems Conference, 2017