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ORCIDHossein Bobarshad
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2020 – today
- 2022
[j12]Ali Heydarigorji
, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
Leveraging Computational Storage for Power-Efficient Distributed Data Analytics. ACM Trans. Embed. Comput. Syst. 21(6): 82:1-82:36 (2022)- [c8]Ali Heydarigorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
In-storage Processing of I/O Intensive Applications on Computational Storage Drives. ISQED 2022: 1-6 - 2021
- [j11]Mohammadsadegh Rezaei, Hossein Bobarshad, Kambiz Badie:
Prediction of learner's appropriate online community of practice in question and answering website: similarity in interaction, interest, prior knowledge. Interact. Learn. Environ. 29(4): 670-687 (2021) - [j10]Seyedreza Taghizadeh, Halima Elbiaze, Hossein Bobarshad:
EM-RPL: Enhanced RPL for Multigateway Internet-of-Things Environments. IEEE Internet Things J. 8(10): 8474-8487 (2021) - [i5]Ali Heydari Gorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
In-storage Processing of I/O Intensive Applications on Computational Storage Drives. CoRR abs/2112.12415 (2021) - 2020
- [j9]Jae Young Do, Victor da Cruz Ferreira, Hossein Bobarshad, Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Diego Fonseca Pereira de Souza, Brunno F. Goldstein, Leandro Santiago, Min Soo Kim, Priscila M. V. Lima, Felipe M. G. França, Vladimir Castro Alves:
Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications. ACM Trans. Storage 16(4): 21:1-21:37 (2020) - [c7]Ali Heydari Gorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
Stannis: Low-Power Acceleration of DNN Training Using Computational Storage Devices. DAC 2020: 1-6 - [c6]Ali Heydari Gorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
HyperTune: Dynamic Hyperparameter Tuning for Efficient Distribution of DNN Training Over Heterogeneous Systems. ICCAD 2020: 88:1-88:8 - [i4]Ali Heydarigorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage. CoRR abs/2002.07215 (2020) - [i3]Ali Heydarigorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems. CoRR abs/2007.08077 (2020)
2010 – 2019
- 2019
- [j8]Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh:
Computational storage: an efficient and scalable platform for big data and HPC applications. J. Big Data 6: 100 (2019) - [c5]Mahdi Torabzadehkashi, Ali Heydarigorji, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh:
Accelerating HPC Applications Using Computational Storage Devices. HPCC/SmartCity/DSS 2019: 1878-1885 - [c4]Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh:
Catalina: In-Storage Processing Acceleration for Scalable Big Data Analytics. PDP 2019: 430-437 - 2018
- [j7]Seyedreza Taghizadeh, Hossein Bobarshad, Halima Elbiaze:
CLRPL: Context-Aware and Load Balancing RPL for Iot Networks Under Heavy and Highly Dynamic Load. IEEE Access 6: 23277-23291 (2018) - [j6]Atefehsadat Haghighathoseini, Hossein Bobarshad, Fatehmeh Saghafi, Mohammad Sadegh Rezaei, Nader Bagherzadeh:
Hospital enterprise Architecture Framework (Study of Iranian University Hospital Organization). Int. J. Medical Informatics 114: 88-100 (2018) - [j5]Kayvan Bijari, Hadi Zare, Hadi Veisi, Hossein Bobarshad:
Memory-enriched big bang-big crunch optimization algorithm for data clustering. Neural Comput. Appl. 29(6): 111-121 (2018) - 2017
- [j4]Mahdi Hajiabadi, Hadi Zare, Hossein Bobarshad:
IEDC: An integrated approach for overlapping and non-overlapping community detection. Knowl. Based Syst. 123: 188-199 (2017) - [i2]Kayvan Bijari, Hadi Zare, Hadi Veisi, Hossein Bobarshad:
Memory Enriched Big Bang Big Crunch Optimization Algorithm for Data Clustering. CoRR abs/1703.02883 (2017) - 2016
- [c3]Mohammad Reza Mardani, Salman Mohebi, Hossein Bobarshad:
Robust Uplink Resource Allocation in LTE Networks with M2M Devices as an Infrastructure of Internet of Things. FiCloud 2016: 186-193 - [i1]Mahdi Hajiabadi, Hadi Zare, Hossein Bobarshad:
IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection. CoRR abs/1612.04679 (2016) - 2012
- [j3]Hossein Bobarshad, Mihaela van der Schaar, A. Hamid Aghvami, Reza Sham Dilmaghani, Mohammad Shikh-Bahaei:
Analytical Modeling for Delay-Sensitive Video Over WLAN. IEEE Trans. Multim. 14(2): 401-414 (2012) - 2011
- [j2]Reza Sham Dilmaghani, Hossein Bobarshad, Mohammad Ghavami, Sabrieh Choobkar, Charles Wolfe:
Wireless Sensor Networks for Monitoring Physiological Signals of Multiple Patients. IEEE Trans. Biomed. Circuits Syst. 5(4): 347-356 (2011) - 2010
- [j1]Hossein Bobarshad, Mihaela van der Schaar, Mohammad Shikh-Bahaei:
A Low-Complexity Analytical Modeling for Cross-Layer Adaptive Error Protection in Video Over WLAN. IEEE Trans. Multim. 12(5): 427-438 (2010)
2000 – 2009
- 2009
- [c2]Hossein Bobarshad, Mohammad Shikh-Bahaei:
M/M/1 queuing model for adaptive cross-layer error protection in WLANs. WCNC 2009: 1421-1426 - 2008
- [c1]Hossein Bobarshad, Mohammad Shikh-Bahaei, Alireza Kobravi:
BER-based adaptation in composite fading channel. PIMRC 2008: 1-5
Coauthor Index
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