A data recomputation approach for reliability improvement of scratchpad memory in embedded systems. - Hossein Sayadi; Hamed Farbeh; Amir Mahdi Hosseini Monazzah; Seyed Ghassem Miremadi (DFT, 2014)

Scheduling multithreaded applications onto heterogeneous composite cores architecture. - Hossein Sayadi; Houman Homayoun (IGSC, 2017)

Machine Learning-Based Approaches for Energy-Efficiency Prediction and Scheduling in Composite Cores Architectures. - Hossein Sayadi; Nisarg Patel; Avesta Sasan; Houman Homayoun (ICCD, 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)

Power conversion efficiency-aware mapping of multithreaded applications on heterogeneous architectures: A comprehensive parameter tuning. - Hossein Sayadi; Divya Pathak; Ioannis Savidis; Houman Homayoun (ASP-DAC, 2018)

Advances and throwbacks in hardware-assisted security: special session. - Ferdinand Brasser; Lucas Davi; Abhijitt Dhavlle; Tommaso Frassetto; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Ahmad-Reza Sadeghi; Avesta Sasan; Hossein Sayadi; Shaza Zeitouni; Houman Homayoun (CASES, 2018)

Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. - Hossein Sayadi; Sai Manoj P. D.; Amir Houmansadr; Setareh Rafatirad; Houman Homayoun (CF, 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)

Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. - Hossein Sayadi; Nisarg Patel; Sai Manoj P. D.; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DAC, 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)

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)

Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques. - Hossein Sayadi (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)

Adversarial Attack on Microarchitectural Events based Malware Detectors. - Sai Manoj Pudukotai Dinakarrao; Sairaj Amberkar; Sahil Bhat; Abhijitt Dhavlle; Hossein Sayadi; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (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)

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)

Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. - Han Wang 020; Hossein Sayadi; Tinoosh Mohsenin; Liang Zhao 002; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DATE, 2020)

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)

Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Setareh Rafatirad; Tinoosh Mohsenin; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2020)

Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (ICCAD, 2020)

Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Gaurav Kolhe; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (ICCD, 2020)

HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (ICMLA, 2020)

SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features. - Han Wang 020; Hossein Sayadi; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (IOLTS, 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)

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. - Sai Manoj Pudukotai Dinakarrao; Xiaojie Guo 002; Hossein Sayadi; Cameron Nowzari; Avesta Sasan; Setareh Rafatirad; Liang Zhao 002; Houman Homayoun (IEEE Access, 2020)

Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. - Han Wang 020; Soheil Salehi; Hossein Sayadi; Avesta Sasan; Tinoosh Mohsenin; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (AICAS, 2021)

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)

Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (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)

A Comprehensive Analysis of Chaos-Based Secure Systems. - Ava Hedayatipour; Ravi Monani; Amin Rezaei 001; Mehrdad Aliasgari; Hossein Sayadi (SVCC, 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)

Enabling Micro AI for Securing Edge Devices at Hardware Level. - Han Wang 020; Hossein Sayadi; Sai Manoj Pudukotai Dinakarrao; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (IEEE J. Emerg. Sel. Topics Circuits Syst., 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)

Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education. - Wooyoung Chung; Xiyu Zhang 002; Zunaira Ahmad; Hossein Sayadi; Setareh Rafatirad (EDUCON, 2022)

Distributed Logic Encryption: Essential Security Requirements and Low-Overhead Implementation. - Raheel Afsharmazayejani; Hossein Sayadi; Amin Rezaei 001 (ACM Great Lakes Symposium on VLSI, 2022)

Deep Neural Network and Transfer Learning for Accurate Hardware-Based Zero-Day Malware Detection. - Zhangying He; Amin Rezaei 001; Houman Homayoun; Hossein Sayadi (ACM Great Lakes Symposium on VLSI, 2022)

Global Attack and Remedy on IC-Specific Logic Encryption. - Amin Rezaei 001; Ava Hedayatipour; Hossein Sayadi; Mehrdad Aliasgari; Hai Zhou 001 (HOST, 2022)

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)

Towards AI-Enabled Hardware Security: Challenges and Opportunities. - Hossein Sayadi; Mehrdad Aliasgari; Furkan Aydin; Seetal Potluri; Aydin Aysu; Jack Edmonds 002; Sara Tehranipoor (IOLTS, 2022)

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

Cyber-Immunity at the Core: Securing Biomedical Devices through Hardware-Level Machine Learning Defense. - Hossein Sayadi; Zhangying He; Chelsea William Fernandes; Tahereh Miari (BioCAS, 2023)

Towards Race and Gender Equity in Data Science Education. - Brendan Baird; Namya Radesh; Setareh Rafatirad; Hossein Sayadi (FIE, 2023)

Unleashing the Potential of Reinforcement Learning for Enhanced Personalized Education. - Chelsea William Fernandes; Tahereh Miari; Setareh Rafatirad; Hossein Sayadi (FIE, 2023)

Image-Based Zero-Day Malware Detection in IoMT Devices: A Hybrid AI-Enabled Method. - Zhangying He; Hossein Sayadi (ISQED, 2023)

Attacks on Continuous Chaos Communication and Remedies for Resource Limited Devices. - Rahul Vishwakarma; Ravi Monani; Amin Rezaei 001; Hossein Sayadi; Mehrdad Aliasgari; Ava Hedayatipour (ISQED, 2023)

Machine Learning in Chaos-Based Encryption: Theory, Implementations, and Applications. - Jinha Hwang; Gauri Kale; Persis Premkumar Patel; Rahul Vishwakarma; Mehrdad Aliasgari; Ava Hedayatipour; Amin Rezaei 001; Hossein Sayadi (IEEE Access, 2023)

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)

Beyond Conventional Defenses: Proactive and Adversarial-Resilient Hardware Malware Detection using Deep Reinforcement Learning. - Zhangying He; Houman Homayoun; Hossein Sayadi (DAC, 2024)

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)

ObfusGate: Representation Learning-Based Gatekeeper for Hardware-Level Obfuscated Malware Detection. - Zhangying He; Chelsea William Fernandes; Hossein Sayadi (DATE, 2024)

The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering. - Zhangying He; Thomas Nguyen; Tahereh Miari; Mehrdad Aliasgari; Setareh Rafatirad; Hossein Sayadi (EDUCON, 2024)

ChatGPT vs. Gemini: Comparative Evaluation in Cybersecurity Education with Prompt Engineering Impact. - Thomas Nguyen; Hossein Sayadi (FIE, 2024)

Redefining Trust: Assessing Reliability of Machine Learning Algorithms in Intrusion Detection Systems. - Hossein Sayadi; Zhangying He; Tahereh Miari; Mehrdad Aliasgari (ISCAS, 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)

Transformers: A Security Perspective. - Banafsheh Saber Latibari; Najmeh Nazari; Muhtasim Alam Chowdhury; Kevin Immanuel Gubbi; Chongzhou Fang; Sujan Ghimire; Elahe Hosseini; Hossein Sayadi; Houman Homayoun; Soheil Salehi; Avesta Sasan (IEEE Access, 2024)

Guarding Against the Unknown: Deep Transfer Learning for Hardware Image-Based Malware Detection. - Zhangying He; Houman Homayoun; Hossein Sayadi (J. Hardw. Syst. Secur., 2024)

REACT: Randomized Encryption with AI-Controlled Targeting for Next-Gen Secure Communication. - Zhangying He; Hossein Sayadi (DATE, 2025)

Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook. - Banafsheh Saber Latibari; Najmeh Nazari; Avesta Sasan; Houman Homayoun; Pratik Satam; Soheil Salehi; Hossein Sayadi (ACM Great Lakes Symposium on VLSI, 2025)

LightBench: A Hardware-Aware Trusted Execution Platform for Intelligent Malware Detection at the Edge. - Ning Miao; Hossein Sayadi; Kumara Srivatsa Kondapalli; Mahdi Eslamimehr; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2025)

PowerPrint: Harnessing Machine Learning for Accurate and Scalable Device Fingerprinting via Power Consumption. - Zhangying He; Hossein Sayadi (ISCAS, 2025)

Obfuscation-Resistant Hardware Malware Detection: A Stacked Denoising Autoencoder Approach. - Zhangying He; Chelsea William Fernandes; Hossein Sayadi (ISQED, 2025)

Navigating the Trilemma: Security, Power, and Performance Trade-Offs in Bluetooth Low Energy. - Ning Miao; Chongzhou Fang; Ruijie Fang; Ruoyu Zhang; Mahdi Eslamimehr; Setareh Rafatirad; Hossein Sayadi; Houman Homayoun (ISQED, 2025)