Recent News:
- December 2020: Hossein gave an invited talk on Machine Learning for Hardware Cybersecurity at Morgan State University .
- October 2020: Hossein is invited to serve as a Session Chair in ICCAD'20 (Session: Side-channel Attacks and Defenses).
- October 2020: Hossein will be serving as a TPC memeber of ISQED'21 and SVCC'20.
- September 2020: Paper on Applied ML for Zero-day Side-channel Attacks Detection (HybriDG) got accepted in ICMLA'20 .
- September 2020: Paper on Multi-phase ML-based Detetcion and Identification of Zero-day SCAs (Phased-Guard) got accepted in ICCD'20 .
- August 2020: Hossein will be the Guest Editor of a special issue in the open access journal Cryptography (by MDPI) on Cybersecurity, Cryptography, and Machine Learning.
- July 2020: Paper on Hybrid Cache-Based Side-Channel Attacks Detection and Mitigation (Hybrid-Shield) got accepted in ICCAD'20 .
- July 2020: Paper on securing IoT Networks against Malware Epidemics got accepted in IEEE Access.
- June 2020: Paper on Review of Machine Learning-based Countermeasures for Microarchitectural Security got accepted in MWSCAS'20 .
- May 2020: ISEC Lab member Abigail Kwan, successfully defended her Thesis and received the Outstanding Computer Engineering Graduate Award. Congratulations Abigail!
- April 2020: Paper on ML-based Side-channel Attack Detection got accepted in IOLTS'20 .
- February 2020: Two papers on Microarchitectural Stealthy Malware Detection and Side-Channel Attack Anlaysis got accepted in GLSVLSI'20.
- January 2020: Hossein will be serving as a TPC member of GLSVLSI'20.
- November 2019: Three papers on Side-channel Attacks Analysis, Stealthy Malware Detection, and Adversarial ML got accepted in GOMACTech'20 .
- October 2019: Paper on Processor Side-Channel Attack Mitigation got accepted in DATE'20. Read More..
Hossein Sayadi
Assistant Professor
Department of Computer Engineering & Computer Science
California State University, Long Beach
Short Bio: Hossein Sayadi is a Tenure-Track Assistant Professor in the Department of Computer Engineering and Computer Science (CECS) at California State University, Long Beach (CSULB). Hossein obtained his Ph.D. degree in Electrical and Computer Engineering from George Mason University (GMU), Fairfax, VA where he conducted his doctoral research on machine learning-based solutions for secure and energy-efficient computer systems. He received his M.Sc. degree in Computer Engineering with emphasis on Computer Architecture from Sharif University of Technology (SUT), Tehran, Iran where he worked on fault tolerant computer design and reliability improvement of on-chip memories in embedded systems. He also obtained his B.Sc. degree in Computer Engineering (Computer Hardware) from K. N. Toosi University of Technology (KNTU) , Tehran, Iran.
Hossein's research interests mainly lie in several areas of computer engineering and computer science including computer systems cybersecurity, hardware security, applied machine learning, computer architecture, and energy-efficient computing. Hossein is the director of Intelligent, Secure, and Energy-Efficient Computer Systems (ISEC) Lab, in the Department of Computer Engineering and Computer Science of the California State University, Long Beach. Hossein is a two-time recipient of the Provost Doctoral Fellowship from George Mason University. His research has resulted in numerous peer-reviewed technical papers in prestigious conferences and journals on the subject. Furthermore, Hossein is serving as a Guest Editor of MDPI Journal of Cryptography and a technical committee member of several international conferences including ACM Great Lakes Symposium on VLSI (GLSVLSI), Int'l. Symposium on Quality Electronic Design (ISQED), Silicon Valley Cybersecurity Conference (SVCC), and Int'l. Green and Sustainable Computing Conference (IGSC).
Research Opportunity: Multiple Research Assistant (RA) positions are available for Spring 2021 and Summer 2021. Please email me a copy of your CV if you are interested. Motivated graduate and undergraduate students with background in at least one of the areas of Machine Learning, Data Analytics, Computer Architecture, and Cybersecurity are encouraged to apply.
[33]- [ICCD]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks", in Proceedings of 38th IEEE International Conference on Computer Design (ICCD'20), 2020.
[32]- [ICCAD]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks", in Proceedings of 39th IEEE/ACM International Conference On Computer Aided Design (ICCAD'20), 2020.
[31]- [ICMLA]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-day Microarchitectural Side-Channel Attacks", in Proceedings of 19th IEEE International Conference on Machine Learning and Applications (ICMLA'20), 2020.
[30]- [IEEE Access]: S. Manoj P D, X. Guo, H. Sayadi, C. Nowzari, A. Sasan, S. Rafatirad, L. Zhao, and H. Homayoun, “Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics", in IEEE Access Journal, 2020.
[29]- [MWSCAS]: H. Sayadi, H. Wang, T. Miari, H. Makrani, M. Aliasgari, S. Rafatirad, H. Homayoun, “Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures", in Proceedings of 63rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS'20), 2020.
[28]- [GLSVLSI]: H. Sayadi, Y Gao, H. Makrani, T. Mohsenin, A. Sasan, S. Rafatirad, J. Lin, H. Homayoun, “StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features", in Proceedings of 2020 Great Lakes Symposium on VLSI (GLSVLSI'20), 2020.
[27]- [GLSVLSI]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks", in Proceedings of 2020 Great Lakes Symposium on VLSI (GLSVLSI'20), 2020.
[26]- [IOLTS]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features", in Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'20), 2020.
[25]- [DATE]: H. Wang, H. Sayadi, T. Mohsenin, A. Sasan, S. Rafatirad, and H. Homayoun, “Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis", in Proceedings of the IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE'20), Grenoble, France, 2020.
[24]- [GOMACTech]: H. Sayadi, Y. Gao, H. Makrani, A. Sasan, J. Lin, S. Rafatirad, and H. Homayoun, “Towards Run-Time Hardware-Assisted Stealthy Malware Detection” , in 45th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’20), March 2020.
[23]- [GOMACTech]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “DREAL: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features” , in 45th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’20), March 2020.
[22]- [GOMACTech]: H. Makrani, R. Hassan, Hossein Sayadi, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Adversarial Machine Learning in Cloud” , in 45th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’20), March 2020.
[21]- [DATE]: H. Sayadi, H. M. Makrani, S. Manoj P D, T. Mohsenin, A. Sasan, S. Rafatirad and H. Homayoun,
"2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection" , in Design, Automation & Test in Europe (DATE'19), Florence, Italy, 2019.
[20]- [DATE]: S. Manoj P D, H. Sayadi, H. M. Makrani, C. Nowzari, S. Rafatirad, and H. Homayoun, “Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks” , in Design, Automation & Test in Europe (DATE'19), Florence, Italy, 2019.
[19]- [DAC]: S. Manoj P D, S. Amberkar, S. Bhat, H. Sayadi, S. Rafatirad, and H. Homayoun, “Adversarial Attack on Microarchitectural Based Malware Detectors”, in Proceedings of the 56th ACM/IEEE Design Automation Conference (DAC’19), Las Vegas, Nevada, 2019.
[18]- [DAC]: H. Sayadi, Y. Gao, S. Rafatirad, J. Lin, and H. Homayoun, “CHASE: A Customized Time Series Machine Learning Approach for Hardware-Based Stealthy Malware Detection”, in (Work-in-Progress Sessions) 56th ACM/IEEE Design Automation Conference (DAC’19), Las Vegas, Nevada, 2019.
[17]- [FPL]: H. M. Makrani, F. Farahmand, H. Sayadi, S. Bondi, S. Manoj PD, L. Zhao, A. Sasan, H. Homayoun, and S. Rafatirad, "Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design" , in Proceedings of the International Conference on Field-Programmable Logic & Applications (FPL'19), Barcelona, Spain, 2019.
[16]- [GOMACTech]: M. Taram, D. M. Tullsen, A. Venkat, Hossein Sayadi, H. Wang, S. Manoj P D, and H. Homayoun, “Fast and Efficient Deployment of Security Defenses via Context Sensitive Decoding”, in Proceedings of the 44th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’19), March 2019.
[15]- [ASP-DAC]: H. Makrani, H. Sayadi, S. Bondi, T. Mohsenin, S. Rafatirad, A. Sasan, H. Homayoun, “XPPE: Cross-Platform Performance Estimation of Hardware Accelerators Using Machine Learning”, in Proceedings of the 24th IEEE/ACM 24th Asia and South Pacific Design Automation Conference (ASP-DAC'19), Tokyo, Japan, 2019.
[14]- [DAC]: H. Sayadi, N. Patel, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Ensemble Learning for Effective Run-Time Hardware-Based Malware Detection: A Comprehensive Analysis and Classification” , in Proceedings of 55th ACM/IEEE Design Automation Conference (DAC’18), San Francisco, California, 2018.
[13]- [ASP-DAC]: H. Sayadi, D. Pathak, I. Savidis, and H. Homayoun, “Power Conversion Efficiency-Aware Mapping of Multithreaded Applications on Heterogeneous Architectures: A Comprehensive Parameter Tuning” , in Proceedings of 23rd IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC’18), pp. 70-75, South Korea, Jan. 22-25, 2018.
[12]- [CASES]: F. Brasser, L. Davi, A. Dhavlle, T. Frassetto, S. Manoj, S. Rafatirad, A. Sadeghi, A. Sasan, H. Sayadi, S. Zeitouni, and H. Homayoun, “Advances and Throwbacks in Hardware-Assisted Security” , in Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES’18), Italy, 2018.
[11]- [SoCC]: H. M. Makrani, H. Sayadi, D. Motwani, H. Wang, S. Rafatirad, and H. Homayoun, “Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud” , in Proceedings of the ACM Symposium on Cloud Computing (SoCC'18), California, 2018.
[10]- [IEEE-TrustCom]: H. Sayadi, H. Makrani, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices” , in Proceedings of the IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom'18), New York, 2018.
[9]- [MEMSYS]: H. Makrani, H. Sayadi, S. Manoj P D, S. Rafatirad, and H. Homayoun, “A Comprehensive Memory Analysis of Data Intensive Workloads on Server Class Architecture”, in Proceedings of the ACM International Symposium on Memory Systems (MEMSYS'18), Washington DC, 2018.
[8]- [ASAP]: H. Makrani, H. Sayadi, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/O Bottleneck in Data-Intensive Workloads”, in Proceedings of the 29th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP'18), Italy, 2018.
[7]- [CF]: H. Sayadi, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Comprehensive Assessment of Run-Time Hardware-Supported Malware Detection Using General and Ensemble Learning”, in Proceedings of ACM International Conference on Computing Frontiers (CF’18), Ischia, Italy, May 2018.
[6]- [Arxiv]: H. Sayadi, and H. Homayoun, “Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques”, in arXiv preprint arXiv:1808.01728.
[5]- [ICCD]: H. Sayadi, N. Patel, A. Sasan, and H. Homayoun, “Machine Learning-Based Approaches for Energy-Efficiency Prediction and Scheduling in Composite Cores Architectures” , in Proceedings of 35th IEEE International Conference on Computer Design (ICCD’17), pp. 129-136, Boston, MA, November 5-8, 2017. (Runner-up for Best Paper Award)
[4]- [IBM-ET]: H. Sayadi, and H. Homayoun, “Comprehensive Analysis of Hardware-Based Malware Detectors”, in IBM/IEEE CAS EDS Emerging Technology Symposium (IBM-ET'17), Thomas J. Watson Research Centre, Yorktown Heights, New York, October 2017.
[3]- [IGSC]: H. Sayadi, and H. Homayoun, “Scheduling Multithreaded Applications onto Heterogeneous Composite Cores Architectures”, in Proceedings of IEEE International Green and Sustainable Computing Conference (IGSC'17), Orlando, Florida, October 23-25, 2017.
[2]- [DAC]: H. Sayadi, A. Sasan, and H. Homayoun, “Characterization and Scheduling of Multithreaded Applications on Composite Cores Architectures”, in (WIP Sessions) 54th ACM/IEEE Design Automation Conference (DAC’17), Austin, Texas, June 2017.
[1]- [DFT]: H. Sayadi, H. Farbeh, A. M. Monazzah, and S. Gh. Miremadi, “A Data Recomputation Approach for Reliability Improvement of Scratchpad Memory in Embedded Systems” , in Proceedings of 27th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology System (DFT'14), pp. 228-233, Amsterdam, Netherlands, October 1-3, 2014.
Research
Dr. Sayadi's research interests mainly lie in several areas of computer engineering and computer science including computer systems cybersecurity, applied machine learning, computer architecture, and energy-efficient computing. In particular, his current research focuses on hardware & architecture security, run-time malware detection, processor architecture side-channel attacks analysis, adversarial machine learning, and scheduling and resource management in heterogeneous multicore architectures. His doctoral dissertation was focused on developing effective and complexity-aware machine learning-based solutions for predicting the behavior of emerging applications to enhance the security and energy-efficiency of modern computer systems in various applications including high-performance computing, embedded systems, and Internet-of-Things. In addition, during his doctoral studies, he has been involved in the research projects funded by the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF).
Dr. Sayadi is the founder and director of Intelligent, Secure, and Energy-Efficient Computer Systems (ISEC) Lab, in the Department of Computer Engineering and Computer Science of the California State University, Long Beach where he expands his research activities and advises graduate and undergraduate students in conducting state-of-the-art research, relevant to Intelligent, Secure, Energy-Efficient Computer Architecture Design. The group pursues experimental cutting-edge research in the areas of hardware security and trust, computer architecture, computer systems cybersecurity, applied machine learning for security and energy-efficient computing, and efficient mapping and scheduling applications into heterogeneous architectures. To this aim, Dr. Sayadi at the ISEC Lab has formed strong collaborative bonds with other engineering and science disciplines undertaking multi-disciplinary research projects.ISEC Lab
Intelligent, Secure, and Energy-Efficient Computer Systems (ISEC) Lab, in the Department of Computer Engineering and Computer Science
of the California State University, Long Beach under the direction of Dr. Hossein Sayadi, is a research group for exploring different challenges associated with Intelligent, Secure, Energy-Efficient Computer Systems and Architecture Design.
ISEC Lab has broad research interests in Hardware Security, Computer Systems Cybersecurity, Computer Architecture, Applied Machine Learning, Energy-Efficient Computing, and Heterogeneous Multicore Processor architectures design and optimization.
The overarching research vision of ISEC Lab is to architect the modern computer systems more efficiently for Secure and Sustainable Computing in presence of security
and energy-efficiency challenges. In particular, the current research theme of ISEC Lab concentrates on hardware & architecture security, run-time malware detection, processor architecture side-channel attacks analysis, adversarial
machine learning, and scheduling and resource management in heterogeneous multicore architectures.
In our research, we are mainly interested in proposing novel solutions to address major challenges of security and energy-efficiency of modern computing systems that the computer design industries
are currently dealing with, across various emerging application domains including High-Performance Computing, Embedded Systems, Internet of Things (IoT), and Cloud Computing.
Research Opportunity: ISEC Lab is always looking for motivated graduate and undergraduate students. Please email me a copy of your CV if you are interested.
Research Opportunity: ISEC Lab is always looking for motivated graduate and undergraduate students. Please email me a copy of your CV if you are interested.
ISEC Lab Members:
Han (Jane) Wang
PhD Student, ECE, UC Davis
Co-advised with Dr. Houman Homayoun
Research: Side-Channel Attacks, Adversarial ML
Zhangying (Mandy) He
Master Student, Computer Engineering
California State University, Long Beach
Research: Deep Learning for Cybersecurity
Utkarsh Khanagwal
Master Student, Computer Science
California State University, Long Beach
Research: Computer Architecture
Alumni:
Abigail Kwan
Undergraduate Honors Student
Computer Engineering, Class of 2020
California State University, Long Beach
Research: Hardware-Based Malware Detection
First Job: Northrop Grumman
News
- December 2020: Hossein gave an invited talk on Machine Learning for Hardware Cybersecurity at Morgan State University .
- October 2020: Hossein is invited to serve as a Session Chair in ICCAD'20 (Session: Side-channel Attacks and Defenses).
- October 2020: Hossein will be serving as a Technical Program Committee memeber of 22nd International Symposium on Quality Electronic Design (ISQED'21) and Silicon Valley Cybersecurity Conference (SVCC'20) .
- September 2020: Paper on Applied ML for Zero-day Side-channel Attacks Detection (HybriDG) got accepted in 19th IEEE International Conference on Machine Learning and Applications (ICMLA'20) .
- September 2020: Paper on Multi-phase ML-based Detetcion and Identification of Zero-day SCAs (Phased-Guard) got accepted in 38th IEEE International Conference on Computer Design (ICCD'20) .
- August 2020: Hossein will be the Guest Editor of a special issue in the open access journal Cryptography (by MDPI) on Cybersecurity, Cryptography, and Machine Learning.
- July 2020: Paper on Hybrid Cache-Based Side-Channel Attacks Detection and Mitigation (Hybrid-Shield) got accepted in 39th IEEE/ACM International Conference On Computer Aided Design (ICCAD'20) .
- July 2020: Paper on securing IoT Networks against Malware Epidemics got accepted in IEEE Access Journal.
- June 2020: Paper on Review of Machine Learning-based Countermeasures for Microarchitectural Security got accepted in 63rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS'20) .
- May 2020: ISEC Lab member Abigail Kwan, successfully defended her Thesis and received the Outstanding Computer Engineering Graduate Award. Congratulations Abigail!
- April 2020: Paper on Machine Learning-based Microarchitectural Side-channel Attack Detection got accepted in 26th IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'20) .
- February 2020: Two papers on Microarchitectural Stealthy Malware Detection and Side-Channel Attack Anlaysis got accepted in 30th edition of the ACM Great Lakes Symposium on VLSI (GLSVLSI'20).
- January 2020: Hossein will be serving as a Technical Program Committee member of 30th edition of the ACM Great Lakes Symposium on VLSI (GLSVLSI'20).
- November 2019: Three papers on Side-Channel Attacks Analysis, Stealthy Malware Detection, and Adversarial Machine Learning in Clould got accepted in Government Microcircuit Applications and Critical Technology Conference (GOMACTech'20) .
- October 2019: Paper on Processor Side-Channel Attack Mitigation through Randomization got accepted in Design, Automation, and Test in Europe conference (DATE'20).
- August 2019: Hossein has joined the Department of Computer Engineering & Computer Science at California State University, Long Beach as a Tenure-Track Assistant Professor.
- July 2019: Hossein will be serving as a Technical Program Committee member of 21st International Symposium on Quality Electronic Design (ISQED'20).
- June 2019: Hossein will be serving as a Technical Program Committee member of 10th International Green and Sustainable Computing Conference (IGSC'19).
- May 2019: Hossein has successfully defended his Ph.D. dissertation titled "Machine Learning-Based Solutions for Secure and Energy-Efficient Computer Systems".
- April 2019: Paper on Machine Learning for Performance Estimation of HLS Design got accepted in International Conference on Field-Programmable Logic & Applications (FPL'19).
- March 2019: Honored to receive the Provost Doctoral Research Fellowship from George Mason University.
- February 2019: Paper on Adversarial Machine Learning for Architecture Security got accepted in Design Automation Conference (DAC'19).
- January 2019: Paper on Security Imporvement of Computer Hardware and Architecture got accepted in Government Microcircuit Applications and Critical Technology Conference (GOMACTech'19).
- November 2018: Two papers on Hardware-Assisted Malware Detection, and IoT Network Security got accepted in Design, Automation, and Test in Europe conference (DATE'19).
- November 2018: Hossein will be serving as an external reviewer for Design Automation Conference (DAC'19).
- September 2018: Paper on Machine Learning-Based Performance Estimation of Hardware Accelerators got accepted in 24th Asia and South Pacific Design Automation Conference (ASP-DAC'19).
- August 2018: Paper on Hardware-Assisted Security got accepted in International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES'18) in Embedded Systems Week (ESWEEK).
- July 2018: Paper on Machine Learning-aware Cloud Computing got accepted in ACM Symposium on Cloud Computing 2018 (SoCC'18).
- June 2018: Paper on Compressive Sensing on Storage Data got accepted in IEEE Application-specific Systems, Architectures and Processors Conference (ASAP'18).
- May 2018: Paper on Customized Hardware Malware Detection for Embedded Devices got accepted in IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE-TrustCom'18).
- March 2018: Paper on Comprehensive Assessment of Machine Learning Techniques for Run-Time Hardware-Based Malware Detection got accepted in ACM International Conference on Computing Frontiers (CF'18).
- February 2018: Paper on Ensemble Learning for Run-Time Hardware-Based Malware Detection got accepted in Design Automation Conference (DAC'18).
- November 2017: Hossein will be serving as an external reviewer for Design Automation Conference (DAC'18).
- October 2017: Awarded Travel Grant for 35th International Conference on Computer Design (ICCD'17) in Boston, MA.
- September 2017: Hossein's work on Machine Learning Techniques for Processor Architecture Security got accepted to appear in IBM IEEE CAS/EDS Emerging Technology (ET) Symposium located in IBM T.J. Watson Research Center in Yorktown Heights, NY.
- September 2017: Hossein's ICCD'17 recent paper on Machine Learning Approaches for Composite Cores Scheduling was selected as a ruuner-up for best paper awards and a top ranked paper for publishing in IEEE TETC.
- September 2017: Paper on Power Conversion Efficiency-aware Scheduling in Heterogeneous Architectures got accepted in 23rd Asia and South Pacific Design Automation Conference (ASP-DAC'18).
- August 2017: Paper on Machine Learning Approaches for Composite Cores Scheduling got accepted in 35th IEEE International Conference on Computer Design (ICCD'17).
- August 2017: Paper on Scheduling Multithreaded Applications on Composite Cores got accepted in IEEE International Green and Sustainable Computing Conference (IGSC'17).
Teaching
CECS341: Computer Architecture and Organization
Spring 2020, Fall 2020CECS478: Introduction to Computer Security
Fall 2019CECS440: Computer Architecture
Fall 2019/2020, Spring 2020Education
2015-2019
Doctor of Philosophy (Ph.D.) Degree
George Mason University, Fairfax, VA, USA
Electrical and Computer Engineering
Dissertation: Machine Learning-based Solutions for Secure and Energy-Efficient Computer Systems
Advisor: Prof. Houman Homayoun
2012-2014
Master of Science (M.Sc.) Degree
Sharif University of Technology, Tehran, Iran
Computer Engineering-Computer Architecture
Dissertation: A Recomputation-based Approach for Error Correction of Scratchpad Memory in Embedded Systems
Advisor: Prof. Seyed Ghassem Miremadi
2007-2012
Bachelor of Science (B.Sc.) Degree
K. N. Toosi University of Technology, Tehran, Iran
Computer Engineering-Computer Hardware