Dr. Amsaad has more than 15 years of teaching experience including more than ten years of teaching at various US high research institutions (R1 and R2) and six years overseas teaching experience. From 08/2019 to 07/2022, he was an Assistant Professor and the Graduate Program Coordinator in the School of Information Security and Applied Computing at Eastern Michigan University (EMU), Ypsilanti, Michigan, USA. From 08/2018 to  07/2019, he worked as an Assistant Professor with the School of Computing Sciences and Computer Engineering at Univesity of Southern Mississippi (USM), Hattiesburg, Mississippi, USA. From 08/2016 to 05/2017, befoer completing his PhD, he was a Visting Instructor with the Computer Science and Engineering Department at the Univesity of South Florida (USF). During his PhD studies, he worked as an Adjunct Instructor with the Department of Engineering Technologies at Bowling Green State University (BGSU)  and Graduate Teaching Assistant (GTA) with the Engineering and Computer Science Department  (EECS) and  Engineering Technology (ET) Department  at the University of Toledo, Toledo, Ohio, USA. Prior coming to the US, he worked as a Teaching Assistant and the Undergraduate Senior Project Lab Manager at the (University of Benghazi) the oldest and top-ranked University in Libya. During his time in the United States he taught or contributed in teaching of the following subjects:

Computer Science and Engineering Courses:

• Intro to Computer Hardware and Software
• Introduction to Computer Engineering
• Computer Logic Design 
• Computer Systems Design
• Computer Architecture 
• Assembly Language Programming 
• Distributed Computing 
• CMOS VLSI Design
• Digital Computer Analysis

Electrical and Electronics Engineering Courses:

• Resistive Circuits 
• Fundamental of Electricity 
• Electrical Circuit for Non-Majors
• Digital Electronic Computer and Systems
• Electrical and Electronic Systems
• Senior Design Projects

Networking and Cybersecurity related courses:

• Hardware Security 
• Special Topic: Secure Quantum Computing
• Wireless Communication Systems
• Networking I with Cisco Routing and Switching Configuration and Security 
• Network Administration: Windows Severs Configuration and Security

Certificates/Training/Personal Development 

• Microsoft Certified Professional (MCP)
• Microsoft Certified Technology Specialist (MCTS) 
• Microsoft Certified Systems Administrator (MCSA)
• Microsoft Certified Systems Enginer (MCSE): Messaging + Security 
• Microsoft SharePoint Certification
• Microsoft OfficePoint Certification
• SANS Training Program: Securing Windows and PowerShell Automation Certification
• SANS Training Program:  Advanced Penetration Testing, Exploit Writing, and Ethical Hacking Certification
• Master in Computer Science (CS) with Advanced Application and Systems Progmming Certification 
• Master in Computer Engineering (CE) with Computer Communication and Networking Certification 

At the SMART lab, our goal is to contribute to advancing knowledge and state-of-the-art research status in cyber and physical system security. Our research explores novel Hardware Security primitive solutions such as SRAM/DRAM PUFs, TRNGs, and Lightweight Hardware-based Cryptography. We also study research projects to analyze Zero-Trust Supply Chain Security and Trusted and Resilient Cyber-Physical Systems. Our research interests include AI-assisted Zero Trust methodologies for Hardware Trojan Detection and Mitigation, the Detection of PCB Trojans, and the Inspection and Detection of Fault Injection Attacks (e.g., Laser Fault Injections). Our investigations extend to Integrated Hardware/Software Obfuscation, Trusted Heterogeneous Integration and Packaging, IoT/IIoT/IoMT Cybersecurity, AI, and Blockchain-enabled Cryptography, Federated and Deep Learning for Medical and Biological Applications, as well as Efficient and Secure AI Distributed Cloud Computing. This research is currently supported by both government and industry funding. Throughout his tenure at Wright State, he has actively participated in collaborative research initiatives leading to a cumulative funding of approximately $31M, encompassing contributions from various partners alongside Wright State University. Notably, he leads the Assured and Trusted Digital Microelectronics Ecosystem (ADMETE), a $29.75 million AFRL grant. He also heads the National Pathway to Success (NPS), a a $704K grant from the National Security Agency  (NSA). This initiative represents a collaborative cybersecurity consortium aimed at preparing, training, and retaining skilled professionals to meet the demands of emerging Cybersecurity domains. The SMART lab is also supported by Intel Corporation, where he plays a co-lead role in a 3-year grant funded by  (Intel ) corporation. This project, in collaboration with WSU and Central State University Semiconductor Education and Research Program (CSU SERP), focuses on supporting semiconductor curriculum development, training, and research efforts. Particularly, this endeavor caters to High Schools, Community Colleges, HBCUs/HSIs, minorities, women, Native Americans, and other underrepresented groups in Ohio and the US. Furthermore, he serves as a co-PI for another 3-year Intel grant, namely, the Ohio-Southwest Alliance on Semiconductors and Integrated Scalable-Manufacturing (OASiS), led by the University of Cincinnati.

The research activites at the SMART lab is also supported the Ohio Department of Education/AFRL, Strategic Ohio Council for Higher Education/Defense Associated Graduate Student Innovators (OHIO AFRL/DAGSI STUDENT-FACULTY COMPETITIVE RESEARCH FELLOWSHIP PROGRAM). Dr. Amsaad is a recipient of the (2023 SFFP Awardees) sponsored by the AFOSR and the  (Faculty First Research Award) from the Game Above Capital Organization, and startup reseach funding from  (Michigan Economic Development Corporation (MEDC)) befoer joining Wright State Unvesity. Beyond his research commitments, Dr. Amsaad is an active IEEE Senior Member and an active ACM member. His multifaceted roles encompass those of Organizer, Program Chair, Technical Program Committee Member, Guest Editor, and Reviewer Board Member for various international conferences and journals. Furthermore, he imparts his expertise through teaching in domains including hardware security, IoT and embedded systems security, distributed computing, digital systems, and network administration and security curricula. Following are sample research projects that provide some insight into his areas of interest:

- Secure and Trusted Semiconductor Microelectronic Integrated Circuits (ICs)

Semiconductor Integrated Circuits (ICs) are essential in modern technology applications, including microelectronics, critical smart infrastructure, IoT consumer electronics, connected aerial and ground vehicles, radar, sensors, military applications, and communication networking devices. The increase in demand with inadequate workforce and infrastructure in domestic production, as well as the reliance on a limited number of trusted semiconductor vendors to meet technological demands, has led to the globalization of the semiconductor IC supply chain. The IC semiconductor integrated circuits' life cycle includes specification, foundry/clean room fabrication, packaging, and testing. Vendors across the globe engage in semiconductor IC manufacturing design, fabrication, testing, validation, and integration. This globalized supply chain introduces the involvement of untrusted entities, blurring the lines of IC assurance and trust to the forefront. The emergence of malicious hardware design alterations, whether integrated during chip design, fabrication, or packaging, poses a significant threat. Supply chain hardware attacks include hardware Trojans, fault injections, physical tampering, side-channel analysis, and their potential negative impact on system reliability and operability. Additionally, these attacks can lead to the possible stealing/leaking of secret information, destroying operational deployment. Our research in this area aims to propose new security approaches to countermeasures against such attacks, as the current approach relies on trust in the design house or foundry. We explore novel "Zero Trust" strategies throughout the design and fabrication process to confront the menace of hardware attacks targeting COTS components, PCB designs, FPGA/ASICs, microprocessors, and SRAM Memory devices.

-  Heterogeneous System Integration (HSI) and Advanced Packaging Security 

Chip design and integration are essential for Heterogeneous System Integration (HSI). For example, AI applications utilize Heterogeneous 2.5-D and 3-D system integration to develop efficient and low-power computing and memory technology design. System integration fosters enhanced compaction in interconnect length, reducing delays and power consumption. This innovation further facilitates stacking multiple planes, dedicating them to specific functions such as digital/imaging signal processing, memory, interconnection, and communication applications. Our research focuses on Secure, Trusted, and Assured Heterogeneous System Integration and Packaging. This includes novel AI-assisted design approaches, lightweight and low-power hardware security measures, and authentication primitives to ensure trust in HSI. We analyze the impact of diverse physical attacks, such as hardware Trojans, fault injections, and physical tampering, and propose innovative techniques like lightweight PUFs, design obfuscation, and side channel resistant Designs to counter such hardware security threats, thereby bolstering the reliability and assurance of system-in-package components.

-  Mitigation of Hardware Side Channel Attacks

Semiconductor integrated circuits (ICs) are vulnerable to both invasive and non-invasive hardware attacks, including laser/optical probing, fault injection, and electromagnetic side-channel (EM) attacks. Our research interests explore an ML-assisted approach for the identification and mitigation of hardware vulnerabilities utilized by EM side-channel leakage attacks. EM-side channel emissions constitute a significant avenue for data leakage, jeopardizing the security of hardware devices. These emissions manifest in forms such as electromagnetic (EM), power, or thermal signals and can be exploited by attackers to extract secure and private information from hardware devices. Current research shows that existing ML approaches rely heavily on static techniques to localize side channel leakage and require assistance to detect complex patterns caused by side channel leakage attacks. Furthermore, these approaches need more resilience against adversarial ML attacks. We focus on designing hardware with robust countermeasures against EM side-channel attacks to mitigate such hardware security challenges. To overcome these shortcomings, we propose developing a robust ML-assisted security framework for enhanced data feature extraction and attention-based fusion modeling. This framework is poised to fortify hardware security and trust against physical side-channel attacks, explicitly targeting secret keys and hardware-based identification leakage.

Selected Journal Publications (2018-2024)

1. Khaled Saleh, Fathi Amsaad, Dirar Darweesh, Omar Darwish, “Software and Hardware based Obfuscation and Deobfuscation Techniques for Secure and Trusted System: A Comprehensive Study,” (TECHRxiv, https://www.techrxiv.org/ IEEE Archive), 2024.
2. Ashutosh Ghimire, Mohammed Alkurdi, Fathi Amsaad, Md Tauhidur Rahman, and Noor Zaman Jhanjhi, “AI-enabled Hardware Trojan Detection for Secure and Trusted Context-Aware Embedded Systems,” (IEEE TECHRxiv, https://www.techrxiv.org), 2024.
3. Niveshitha Niveshitha, Fathi Amsaad Ahmed Sherif, and Noor Zaman Jhanjhi, “AI-assisted Distributed Cloud Services Framework for Enhanced Safety in Urban Smart Cities Environment,” (IEEE TECHRxiv: https://www.techrxiv.org/ IEEE Archive), 2024.
4. Vishnu Baligodugula, Fathi Amsaad, Vincent Schmidt, and Noor Zaman Jhanjhi, “Unsupervised-based Distributed Machine Learning for Efficient Data Clustering and Prediction, TECHRxiv (https://www.techrxiv.org/ IEEE Archive), 2024.
5. Bharath Konatham, Tabassum Simra, Fathi Amsaad, Mohamed I. Ibrahem, and Noor Zaman, “A Secure Hybrid Deep Learning Technique for Anomaly Detection in IIoT Edge Computing,” TECHRxiv (https://www.techrxiv.org/ IEEE Archive),  2024.
6. Ashutosh Ghimire, Tanvir Hossain, Fathi Amsaad,  Tamzidul Hoque, and Noor Zaman Jhanjhi, “An ML-driven Approach for Localization and Enhanced Reverse Engineering of Golden-Free Signature Malicious Hardware Trojans,” TECHRxiv (https://www.techrxiv.org/ IEEE Archive), 2024.
7. Brian Hildebrand, Ashutosh Ghimire, Fathi Amsaad, A. Razaque and S. P. Mohanty, "Quantum communication networks: design, reliability, and security," in IEEE Potentials, 2023. doi: 10.1109/MPOT.2023.3322015. Keywords: {Qubit; Quantum entanglement; Quantum computing; Computers; Routing; Quantum circuit; Quantum networks}. Paper Link: [https://ieeexplore.ieee.org/abstract/document/10288526]
8. Brian Hildebrand, Mohamed Baza, Tara Salman, Simra Tabassum, Bharath Konatham, Fat hi Amsaad, Abdul Razaque, “A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions,” in Computer Science Review, 2023. (Q1 Elsevier journal, IF = 12.9). Keywords: {Blockchain, Federated learning, Vehicular networks, Internet of Vehicles (IoV), Autonomous vehicles security and privacy, Smart contracts}. Paper link: [https://www.sciencedirect.com/science/article/pii/S157401372300014X]
9. S. Al-Eidi, F. Amsaad, O. Darwish, Y. Tashtoush, A. Alqahtani and Niveshitha Niveshitha, "Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques," in IEEE Access, vol. 11, pp. 115140-115149, 2023, doi: 10.1109/ACCESS.2023.3323447. (Q1 IEEE Journal, IF = 3.9). Paper link:[https://ieeexplore.ieee.org/abstract/document/10274948].  
10. Niraj Prasad Bhatta, Harshdeep Singh, Fathi Amsaad et al., "Analyzing Aging Effects on SRAM PUFs: Implications for Security and Reliability," (Preprint), 2023. Link: [https://www.researchsquare.com/article/rs-3341376/v1]. Submitted to Journal of Hardware and System Security (Springer Nature), Special Issue: Trustworthy Microelectronics. (Under revision).
11. Harshdeep Singh, Niraj Prasad Bhatta, Md Tauhidur Rahman, and Fathi Amsaad, " Accelerated Aging Effects on SRAM PUF reliability at various Temperature and Voltage conditions," (Preprint). Paper Link: [https://www.researchsquare.com/article/rs-3290189/v1]. Submitted to Journal of Hardware and System Security (Springer Nature), Special Issue: Trustworthy Microelectronics. (Under revision).
12. Abdul Razaque,  Fathi Amsaad,  Musbah Abdulgader, Bandar Alotaibi, Fawaz Alsolami, Duisen Gulsezim, Saraju P. Mohanty, and Salim Hariri, "A Mobility-Aware Human-Centric Cyber–Physical System for Efficient and Secure Smart Healthcare," in IEEE Internet of Things  Journal, 2022. (Q1 IEEE Journal, five years Impact Factor (IF) = 11.043)
13. Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Fathi Amsaad, Ansagan Manasov, Salim Hariri, Banu B. Yergaliyeva, and Aziz Alotaibi "Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection," in IEEE Access, vol. 10, pp. 3144-3163, 2022. (Q1 IEEE Journal, IF= 3.9).
14. Abdul Razaque, Yaser Jararweh, Aziz Alotaibi, Fathi Amsaad, Bandar Alotaibi, Munif  Alotaibi, “A blockchain-enabled framework for securing connected consumer electronics against wireless attacks,” Journal of Simulation Modelling Practice and Theory, 2002, (Q1 Elsevier Journal, 4.199 Impact Factor).
15. Fathi Amsaad and S. K¨ose, “Enhancing the Performance of Lightweight Configurable PUF for Robust IoT Hardware-Assisted Security,” in IEEE Access, 2021. (Q1 IEEE Journal, IF = 3.9). 
16. Fathi Amsaad and S. K¨ose “A Secure Lightweight Hardware-assisted Charging Coordination Authentication Framework for Trusted Smart Grid Energy Storage Units”, Springer Nature Computer Science, 2021. (Q1 Springer Nature Journal, IF = 1.9) 
17. Fathi Amsaad and S. K¨ose, “A Secure Hardware-Assisted AMI Authentication Scheme for Smart Cities,” in IEEE Consumer Electronics Magazine, vol. 10, no. 4, pp. 106-112, 1 July 2021. (Q1 IEEE Journal Magazine, IF = 4.135). 
18. A. A. Shafee, M. M. Fouda, M. M. E. A. Mahmoud, A. J. Aljohani, W. Alasmary and F. Amsaad, "Detection of Lying Electrical Vehicles in Charging Coordination Using Deep Learning," in IEEE Access, vol. 8, pp. 179400-179414, 2020. (Q1 IEEE Journal, IF = 3.9).
19. A. Razaque, F. Amsaad, S. Hariri, M. Almasri, S. S. Rizvi and M. B. H. Frej, "Enhanced Grey Risk Assessment Model for Support of Cloud Service Provider," in IEEE Access, vol. 8, pp. 80812-80826, 2020. (Q1 IEEE Journal, IF = 3.9).
20. Abdul Razaque, Fathi Amsaad, Meer Jaro Khan, Salim Hariri, Shujing Chen, Chen Siting, "Survey: Cybersecurity Vulnerabilities, Attacks and Solutions in the Medical Domain," in IEEE Access, vol. 7, pp. 168774-168797, 2019. (Q1 IEEE Journal, IF = 3.9).
21. F. Amsaad, M. Niamat, A. Dawoud, and S. Köse, ''Reliable Delay based Algorithm to Boost PUF Security against Modeling Attacks,'' Information, Vol. 9, No. 9, pp. 1 -- 15, September 2018. (Q2 Journal, IF = 3.1).
22. M. Azhar, F. Amsaad, and S. Köse, ''Duty Cycle-based Controlled Physical Unclonable Function,'' IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 26, No. 9, pp. 1647-1658,  September 2018. (Q1 IEEE Journal, IF = 2.8).

Selected Conference Publications (2018-2024)

1. B. R. Konatham, T. Simra, A. Ghimire, F. Amsaad, M. I. Ibrahem and N. Z. Jhanjhi, "ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications," 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon), Singapore, Singapore, 2023, pp. 1120-1127.
2. N. P. Bhatta, F. Amsaad, H. Singh, A. Sherif and K. Hopkinson, "Enhancing Hardware Security: An Analysis of SRAM-PUFs," NAECON 2023 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2023, pp. 174-180.
3. A. Ghimire, F. Amsaad, T. Hossain, T. Hoque and A. Sherif, "FPGA Hardware Trojan Detection: Golden-Free Machine Learning Approach," NAECON 2023 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2023, pp. 181-186.
4. H. Singh, N. P. Bhatta, K. M. T. Jawad, H. Singh, F. Amsaad, and K. Hopkinson, "ML-Assisted Security for the Detection of DDoS Attacks in Connected IIoT Environment: Implementation and Comparative Analysis," NAECON 2023 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2023, pp. 59-66.
5. H. Singh, N. P. Bhatta, K. M. Tawsik Jawad, A. Ghimire, M. T. Rahman, and F. Amsaad, "Evaluating the Robustness of SRAM Physical Unclonable Functions: Empirical Investigations," 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE), Huntsville, AL, USA, 2023, pp. 1-7.
6. N. P. Bhatta, H. Singh, A. Ghimire, M. T. Rahman and F. Amsaad, "Aging of SRAM PUFs: Mitigation and Advancements Through Machine Learning Techniques," 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE), Huntsville, AL, USA, 2023, pp. 1-6.
7. A. Ghimire, H. Singh, N. P. Bhatta, and F. Amsaad, "Potential of Unsupervised Deep Learning for Detection of EM Side-Channel Attacks," 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE), Huntsville, AL, USA, 2023, pp. 1-6.
8. A. Ghimire, A. A. Hossain, N. P. Bhatta and F. Amsaad, "Identification and Localization of Quantum Electromagnetic Fields of Hardware Trojan Attacks Using QDM-Based Unsupervised Deep Learning," 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE), Huntsville, AL, USA, 2023, pp. 1-7.
9. A. Ghimire, A. N. Asiri, B. Hildebrand, and F. Amsaad, "Implementation of Secure and Privacy-aware AI Hardware using Distributed Federated Learning," 2023 IEEE 16th Dallas Circuits and Systems Conference (DCAS), Denton, TX, USA, 2023, pp. 1-6.
10. A. Ghimire, Mohammed Alkurdi, and F. Amsaad, “Enhancing Hardware Trojan Security through Reference-Free Clustering using Representatives,” 37th International Conference of VLSI Design and 23rd International Conference of Embedded System Design (VLSID 2024), Kolkata, India, 6-10 January 2024.
11. Harshdeep Singh, Vishnu Vardhan Baligodugula, and F. Amsaad, “Shrew Distributed Denial-ofService (DDoS) Attack in IoT Applications: A Survey,” 6TH IFIP INTERNATIONAL INTERNET OF THINGS (IoT) CONFERENCE DALLAS-FORT WORTH METROPLEX, TEXAS, US, 2-3 NOVEMBER 2023.
12. Ashutosh Ghimire, Vishnu Vardhan Baligodugula, and F. Amsaad, “Power Analysis SideChannel Attacks on Same and Cross-Device Settings: A Survey of Machine Learning Techniques,” 6TH IFIP INTERNATIONAL INTERNET OF THINGS (IoT) CONFERENCE DALLAS-FORT WORTH METROPLEX, TEXAS, US, 2-3 NOVEMBER 2023.
13. Niraj Prasad Bhatta, Ashutosh Ghimire, Al Amin Hossain, and F. Amsaad, “Comprehensive Survey of Machine Learning Techniques for Detecting and Preventing Network Layer DoS Attacks,” 6TH IFIP INTERNATIONAL INTERNET OF THINGS (IoT) CONFERENCE DALLAS-FORT WORTH METROPLEX, TEXAS, US, 2-3 NOVEMBER 2023
14. F. Amsaad and S. Köse, "A Lightweight Hardware-based Authentication for Secure Smart Grid Energy Storage Units," 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2021, pp. 443-448.
15. F. Amsaad, A. Razaque, M. Baza, S. Kose, S. Bhatia and G. Srivastava, "An Efficient and Reliable Lightweight PUF for IoT-based Applications," 2021 IEEE International Conference on Communications Workshops (ICC Workshops), Montreal, QC, Canada, 2021, pp. 1-6. 
16. D. Halder, F. Amsaad, N. Fourty and B. Hildebrand, "A Low-Power IoT-enabled Smart Monitoring System for Efficient Product Delivery," 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Lansing, MI, USA, 2021, pp. 692-695. 
17. A. Shafee, M. Nabil, M. Mahmoud, W. Alasmary and F. Amsaad, "Detection of Denial of Charge (DoC) Attacks in Smart Grid Using Convolutional Neural Networks," 2021 International Symposium on Networks, Computers and Communications (ISNCC), Dubai, United Arab Emirates, 2021. 
18. M. Baza, R. Amer, F. Amsaad, M. Mahmoud and W. Alasmary, "Efficient Privacy-preserving Charging Coordination with Linkability-resistance in the Smart Grid," 2021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, 2021, pp. 1-5. 
19. Ibrahim Yilmaz, Mohamed Baza, Ramy Amer, Amar Rasheed, F. Amsaad, and Rasha Morsi “On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks,” 2021 International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices (IEA/AIE 2021), July 26 – July 29, 2021, Kuala Lumpur, Malaysia. 
20. F. Amsaad and S. Köse, "A Trusted Authentication Scheme for IoT-based Smart Grid Applications," 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2020. 
21. F. Amsaad, A. Sherif, D. Halder, and M. Mahmoud “An Efficient and privacy aware hardware-based authentication scheme for AMI network,” Proc. of IEEE SoutheastCon'20, Raleigh, NC, 2020.    
22. F. Amsaad, A. Sherif, A. Dawoud, M. Niamat and S. Kose, "A Novel FPGA-based LFSR PUF Design for IoT and Smart Applications," NAECON 2018 - IEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 2018.