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ORCIDHosein Mohammadi Makrani
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2020 – today
- 2022
[c23]Hosein Mohammadi Makrani, Zhangying He, Setareh Rafatirad, Hossein Sayadi:
Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms. ISQED 2022: 77-83- 2021
- [j2]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun:
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5(4): 28 (2021) - [j1]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun:
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 18:1-18:24 (2021) - [c22]Najmeh Nazari Bavarsad, Hosein Mohammadi Makrani, Hossein Sayadi, Lawrence Landis, Setareh Rafatirad, Houman Homayoun:
HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures. ICCD 2021: 509-516 - [c21]Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi:
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. IOLTS 2021: 1-7 - [c20]Zhangying He, Tahereh Miari, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Houman Homayoun, Hossein Sayadi:
When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection. ISQED 2021: 85-90 - [c19]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Khaled N. Khasawneh, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud. SEED 2021: 1-13 - [c18]Hosein Mohammadi Makrani
, Hossein Sayadi, Najmeh Nazari, Houman Homayoun:
Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems. SVCC 2021: 22-32 - 2020
- [c17]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun:
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI 2020: 175-180 - [c16]Hossein Sayadi, Han Wang, Tahereh Miari, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Setareh Rafatirad, Houman Homayoun:
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures. MWSCAS 2020: 949-952
2010 – 2019
- 2019
- [c15]Hosein Mohammadi Makrani, Hossein Sayadi, Tinoosh Mohsenin, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
XPPE: cross-platform performance estimation of hardware accelerators using machine learning. ASP-DAC 2019: 727-732 - [c14]Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE 2019: 728-733 - [c13]Sai Manoj Pudukotai Dinakarrao, Hossein Sayadi, Hosein Mohammadi Makrani, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun:
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. DATE 2019: 776-781 - [c12]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. FPL 2019: 397-403 - [c11]Mahmoud Namazi, Hosein Mohammadi Makrani, Zhi Tian, Setareh Rafatirad, Mohamad Hosein Akbari, Avesta Sasan, Houman Homayoun:
Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching. ACM Great Lakes Symposium on VLSI 2019: 219-224 - [i2]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. CoRR abs/1907.12952 (2019) - 2018
- [c10]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. ASAP 2018: 1-8 - [c9]Hosein Mohammadi Makrani, Setareh Rafatirad, Amir Houmansadr, Houman Homayoun:
Main-Memory Requirements of Big Data Applications on Commodity Server Platform. CCGrid 2018: 653-660 - [c8]Hosein Mohammadi Makrani, Hossein Sayadi, Devang Motwani, Han Wang, Setareh Rafatirad, Houman Homayoun:
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud. SoCC 2018: 517 - [c7]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. FCCM 2018: 221 - [c6]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
A comprehensive memory analysis of data intensive workloads on server class architecture. MEMSYS 2018: 19-30 - [c5]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. SAMOS 2018: 89-96 - [c4]Hossein Sayadi, Hosein Mohammadi Makrani, Onkar Randive, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. TrustCom/BigDataSE 2018: 1685-1688 - [i1]Hosein Mohammadi Makrani:
Storage and Memory Characterization of Data Intensive Workloads for Bare Metal Cloud. CoRR abs/1805.08332 (2018) - 2017
- [c3]Hosein Mohammadi Makrani, Shahab Tabatabaei, Setareh Rafatirad, Houman Homayoun:
Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications. IGSC 2017: 1-6 - [c2]Hosein Mohammadi Makrani, Houman Homayoun:
MeNa: A memory navigator for modern hardware in a scale-out environment. IISWC 2017: 2-11 - [c1]Hosein Mohammadi Makrani, Houman Homayoun:
Memory requirements of hadoop, spark, and MPI based big data applications on commodity server class architectures. IISWC 2017: 112-113
Coauthor Index
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last updated on 2022-11-09 22:35 CET by the dblp team
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