Sina Shahhosseini

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 22

Top Topics

Energy Efficient

Personalized Learning

Pruning Methods

Top Venues

ACM Great Lakes Symposium on VLSI

ACM Trans. Embed. Comput. Syst.

Publications

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 (2022)
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 (2022)
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 (2022)
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)
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 (2022)
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)
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) (2022)
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)
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)
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 (2022)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography. J. Signal Process. Syst. 93 (10) (2021)
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 (2021)
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)
Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Nader Bagherzadeh
Partition Pruning: Parallelization-Aware Pruning for Dense Neural Networks. PDP (2020)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. ICASSP (2020)
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)
Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh
Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks. CoRR (2019)
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. IACR Cryptol. ePrint Arch. 2019 (2019)
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)
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)
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 (2018)
Sina Shahhosseini, Kasra Moazzemi, Amir M. Rahmani, Nikil D. Dutt
Dependability evaluation of SISO control-theoretic power managers for processor architectures. NORCAS (2017)