Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications. - Hosein Mohammadi Makrani; Shahab Tabatabaei; Setareh Rafatirad; Houman Homayoun (IGSC, 2017)

MeNa: A memory navigator for modern hardware in a scale-out environment. - Hosein Mohammadi Makrani; Houman Homayoun (IISWC, 2017)

Memory requirements of hadoop, spark, and MPI based big data applications on commodity server class architectures. - Hosein Mohammadi Makrani; Houman Homayoun (IISWC, 2017)

Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. - Hosein Mohammadi Makrani; Hossein Sayadi; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (ASAP, 2018)

Main-Memory Requirements of Big Data Applications on Commodity Server Platform. - Hosein Mohammadi Makrani; Setareh Rafatirad; Amir Houmansadr; Houman Homayoun (CCGrid, 2018)

Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud. - Hosein Mohammadi Makrani; Hossein Sayadi; Devang Motwani; Han Wang 020; Setareh Rafatirad; Houman Homayoun (SoCC, 2018)

Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. - Katayoun Neshatpour; Hosein Mohammadi Makrani; Avesta Sasan; Hassan Ghasemzadeh 001; Setareh Rafatirad; Houman Homayoun (FCCM, 2018)

A comprehensive memory analysis of data intensive workloads on server class architecture. - Hosein Mohammadi Makrani; Hossein Sayadi; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Houman Homayoun (MEMSYS, 2018)

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. - Katayoun Neshatpour; Hosein Mohammadi Makrani; Avesta Sasan; Hassan Ghasemzadeh 001; Setareh Rafatirad; Houman Homayoun (SAMOS, 2018)

Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. - Hossein Sayadi; Hosein Mohammadi Makrani; Onkar Randive; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Houman Homayoun (TrustCom/BigDataSE, 2018)

Storage and Memory Characterization of Data Intensive Workloads for Bare Metal Cloud. - Hosein Mohammadi Makrani (CoRR, 2018)

XPPE: cross-platform performance estimation of hardware accelerators using machine learning. - Hosein Mohammadi Makrani; Hossein Sayadi; Tinoosh Mohsenin; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ASP-DAC, 2019)

Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. - Sai Manoj Pudukotai Dinakarrao; Hossein Sayadi; Hosein Mohammadi Makrani; Cameron Nowzari; Setareh Rafatirad; Houman Homayoun (DATE, 2019)

2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. - Hossein Sayadi; Hosein Mohammadi Makrani; Sai Manoj Pudukotai Dinakarrao; Tinoosh Mohsenin; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DATE, 2019)

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. - Hosein Mohammadi Makrani; Farnoud Farahmand; Hossein Sayadi; Sara Bondi; Sai Manoj Pudukotai Dinakarrao; Houman Homayoun; Setareh Rafatirad (FPL, 2019)

Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching. - Mahmoud Namazi; Hosein Mohammadi Makrani; Zhi Tian; Setareh Rafatirad; Mohamad Hosein Akbari; Avesta Sasan; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2019)

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. - Hosein Mohammadi Makrani; Farnoud Farahmand; Hossein Sayadi; Sara Bondi; Sai Manoj Pudukotai Dinakarrao; Liang Zhao 002; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (CoRR, 2019)

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. - Hossein Sayadi; Yifeng Gao; Hosein Mohammadi Makrani; Tinoosh Mohsenin; Avesta Sasan; Setareh Rafatirad; Jessica Lin 001; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2020)

Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures. - Hossein Sayadi; Han Wang 020; Tahereh Miari; Hosein Mohammadi Makrani; Mehrdad Aliasgari; Setareh Rafatirad; Houman Homayoun (MWSCAS, 2020)

HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures. - Najmeh Nazari Bavarsad; Hosein Mohammadi Makrani; Hossein Sayadi; Lawrence Landis; Setareh Rafatirad; Houman Homayoun (ICCD, 2021)

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. - Yifeng Gao; Hosein Mohammadi Makrani; Mehrdad Aliasgari; Amin Rezaei 001; Jessica Lin 001; Houman Homayoun; Hossein Sayadi (IOLTS, 2021)

When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection. - Zhangying He; Tahereh Miari; Hosein Mohammadi Makrani; Mehrdad Aliasgari; Houman Homayoun; Hossein Sayadi (ISQED, 2021)

Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud. - Hosein Mohammadi Makrani; Hossein Sayadi; Najmeh Nazari; Khaled N. Khasawneh; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (SEED, 2021)

Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems. - Hosein Mohammadi Makrani; Hossein Sayadi; Najmeh Nazari; Houman Homayoun (SVCC, 2021)

Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. - Hossein Sayadi; Yifeng Gao; Hosein Mohammadi Makrani; Jessica Lin 001; Paulo Cesar G. da Costa; Setareh Rafatirad; Houman Homayoun (Cryptogr., 2021)

Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. - Hosein Mohammadi Makrani; Hossein Sayadi; Najmeh Nazari; Sai Manoj Pudukotai Dinakarrao; Avesta Sasan; Tinoosh Mohsenin; Setareh Rafatirad; Houman Homayoun (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021)

Applied Machine Learning for Resource Provisioning of Data-Intensive Applications on Scale-Out Platforms and Its Security Challenges - Hosein Mohammadi Makrani (2021)

Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach. - Zhangying He; Hosein Mohammadi Makrani; Setareh Rafatirad; Houman Homayoun; Hossein Sayadi (ICCD, 2022)

Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms. - Hosein Mohammadi Makrani; Zhangying He; Setareh Rafatirad; Hossein Sayadi (ISQED, 2022)

Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems. - Najmeh Nazari; Hosein Mohammadi Makrani; Chongzhou Fang; Behnam Omidi; Setareh Rafatirad; Hossein Sayadi; Khaled N. Khasawneh; Houman Homayoun (IEEE Micro, 2023)

Architectural Whispers: Robust Machine Learning Models Fingerprinting via Frequency Throttling Side-Channels. - Najmeh Nazari; Chongzhou Fang; Hosein Mohammadi Makrani; Behnam Omidi; Mahdi Eslamimehr; Setareh Rafatirad; Avesta Sasan; Hossein Sayadi; Khaled N. Khasawneh; Houman Homayoun (DAC, 2024)

SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-Box Microarchitectures. - Najmeh Nazari; Behnam Omidi; Chongzhou Fang; Hosein Mohammadi Makrani; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Khaled N. Khasawneh (DATE, 2024)

LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices. - Najmeh Nazari; Furi Xiang; Chongzhou Fang; Hosein Mohammadi Makrani; Aditya Puri; Kartik Patwari; Hossein Sayadi; Setareh Rafatirad; Chen-Nee Chuah; Houman Homayoun (ISQED, 2024)

Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey. - Hossein Sayadi; Zhangying He; Hosein Mohammadi Makrani; Houman Homayoun (ISQED, 2024)

Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks. - Najmeh Nazari; Hosein Mohammadi Makrani; Chongzhou Fang; Hossein Sayadi; Setareh Rafatirad; Khaled N. Khasawneh; Houman Homayoun (USENIX Security Symposium, 2024)