Navid Asadizanjani
Orcid: 0000-0002-7097-4463
According to our database1,
Navid Asadizanjani
authored at least 42 papers
between 2013 and 2024.
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Bibliography
2024
Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024
2023
ACM J. Emerg. Technol. Comput. Syst., July, 2023
ACM J. Emerg. Technol. Comput. Syst., April, 2023
Physical Inspection and Attacks on Electronics: An Academic Course for the Hardware Cybersecurity Workforce.
IEEE Secur. Priv., 2023
From Talent Shortage to Workforce Excellence in the CHIPS Act Era: Harnessing Industry 4.0 Paradigms for a Sustainable Future in Domestic Chip Production.
CoRR, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
ToSHI - Towards Secure Heterogeneous Integration: Security Risks, Threat Assessment, and Assurance.
IACR Cryptol. ePrint Arch., 2022
Digital Twin for Secure Semiconductor Lifecycle Management: Prospects and Applications.
IACR Cryptol. ePrint Arch., 2022
FICS PCB X-ray: A dataset for automated printed circuit board inter-layers inspection.
IACR Cryptol. ePrint Arch., 2022
J. Electron. Test., 2022
IEEE Des. Test, 2022
Big Data Cogn. Comput., 2022
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022
Proceedings of the 21st Python in Science Conference 2022, 2022
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2022
2021
ACM J. Emerg. Technol. Comput. Syst., 2021
Hardware Trust and Assurance through Reverse Engineering: A Tutorial and Outlook from Image Analysis and Machine Learning Perspectives.
ACM J. Emerg. Technol. Comput. Syst., 2021
Why Is Deep Learning Challenging for Printed Circuit Board (PCB) Component Recognition and How Can We Address It?
Cryptogr., 2021
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021
2020
ACM J. Emerg. Technol. Comput. Syst., 2020
FICS-PCB: A Multi-Modal Image Dataset for Automated Printed Circuit Board Visual Inspection.
IACR Cryptol. ePrint Arch., 2020
Histogram-based Auto Segmentation: A Novel Approach to Segmenting Integrated Circuit Structures from SEM Images.
CoRR, 2020
Hardware Trust and Assurance through Reverse Engineering: A Survey and Outlook from Image Analysis and Machine Learning Perspectives.
CoRR, 2020
Proceedings of the 38th IEEE VLSI Test Symposium, 2020
Proceedings of the IEEE International Test Conference in Asia, 2020
The Key is Left under the Mat: On the Inappropriate Security Assumption of Logic Locking Schemes.
Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020
2019
Proceedings of the 20th International Workshop on Microprocessor/SoC Test, 2019
Proceedings of the IEEE International Test Conference, 2019
Golden Gates: A New Hybrid Approach for Rapid Hardware Trojan Detection using Testing and Imaging.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2019
2018
Detecting Hardware Trojans Inserted by Untrusted Foundry Using Physical Inspection and Advanced Image Processing.
J. Hardw. Syst. Secur., 2018
Proceedings of the 3rd IEEE International Verification and Security Workshop, 2018
A Comprehensive Analysis on Vulnerability of Active Shields to Tilted Microprobing Attacks.
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2018
2016
ACM J. Emerg. Technol. Comput. Syst., 2016
Proceedings of the 35th International Conference on Computer-Aided Design, 2016
Proceedings of the 2016 IEEE International Symposium on Hardware Oriented Security and Trust, 2016
2013
IEEE Trans. Instrum. Meas., 2013