Hosein Mohammadi Makrani
Orcid: 0000-0002-5088-8728
According to our database1,
Hosein Mohammadi Makrani
authored at least 29 papers
between 2017 and 2023.
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Bibliography
2023
IEEE Micro, 2023
2022
Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
2021
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach.
Cryptogr., 2021
Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems.
Proceedings of the Silicon Valley Cybersecurity Conference - Second Conference, 2021
Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud.
Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 2021
When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events.
Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 2021
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
2020
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.
CoRR, 2019
Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
XPPE: cross-platform performance estimation of hardware accelerators using machine learning.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
2018
Storage and Memory Characterization of Data Intensive Workloads for Bare Metal Cloud.
CoRR, 2018
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices.
Proceedings of the 17th IEEE International Conference On Trust, 2018
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018
A comprehensive memory analysis of data intensive workloads on server class architecture.
Proceedings of the International Symposium on Memory Systems, 2018
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud.
Proceedings of the ACM Symposium on Cloud Computing, 2018
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads.
Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018
2017
Memory requirements of hadoop, spark, and MPI based big data applications on commodity server class architectures.
Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017
Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017
Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017