Assist. Prof. Dr. Ali sayghe | Cyber-Physical Security and Sensnor | Best Researcher Award

Department of Electrical Engineering/ Yanbu Industril College | Saudi Arabia

Author Profile

Summary

Ali sayghe is an assistant professor and researcher specializing in control systems and cyber-physical security for power systems, with a strong academic background from florida state university, arizona state university, and the university of illinois at chicago. his career combines teaching at yanbu industrial college with innovative research on digital twins, intrusion detection, and the resilience of industrial power systems. blending linear and nonlinear control theory with machine learning, he addresses the evolving challenges of critical infrastructure. his work is widely recognized in academic cites and continues to shape advancements in secure and reliable energy systems.

Early academic pursuits

Ali Sayghe’s educational journey reflects a strong foundation in engineering and technology, beginning with an associate’s degree in telecommunications technology from the college of telecommunication and electronics. he advanced to earn a bachelor of science in electrical and electronic engineering technology with a specialization in telecommunications engineering from arizona state university, followed by a master of technology in electronic engineering technology from the same institution. his pursuit of excellence led him to doctoral research, first at the university of illinois at chicago and later completing a phd in control and cyber-physical security for power systems at florida state university. throughout these formative years, his academic pursuits laid the groundwork for his expertise in control systems, cyber-physical security, and critical infrastructure resilience.

Professional endeavors

Ali sayghe has served as an assistant professor at yanbu industrial college in yanbu al sinaiyah, al madinah, saudi arabia. he has been deeply engaged in teaching, mentoring, and guiding engineering students, bringing real-world applications into the classroom. his professional endeavors also encompass research collaborations in control systems and cyber-physical security for the power and energy industry, often integrating machine learning into advanced control designs. this combination of teaching and applied research underscores his commitment to both academia and industry relevance.

Contributions and research focus

Ali Sayghe’s research contributions center on the reliability, resilience, and security of industrial power systems. he has advanced work in digital twins, intrusion detection systems, and robust control strategies, addressing both linear and nonlinear frameworks. integrating control systems and cyber-physical security with modern machine learning techniques, his work ensures that power infrastructure remains protected against evolving threats. these contributions have been published in reputable scientific journals and conference proceedings, showcasing his role as an innovative researcher in this specialized domain.

Impact and influence

Through his dual role as educator and researcher, ali sayghe has significantly influenced the field of control systems and cyber-physical security for power systems. his ability to simplify complex engineering concepts for students has fostered a generation of engineers equipped to handle the challenges of modern power networks. in the research community, his studies on digital twins and industrial system security are shaping best practices for safeguarding critical infrastructure. his influence extends internationally, bridging the academic and industrial sectors.

Academic cites

Ali sayghe’s work has been cited in multiple research papers, highlighting the relevance and applicability of his findings. his academic cites reflect recognition from fellow scholars and practitioners working in control systems, cyber-physical security, and power system engineering. these citations are a testament to the practical value and originality of his research, especially in areas that combine control theory with cutting-edge machine learning approaches.

Legacy and future contributions

Ali sayghe’s legacy is rooted in his dedication to creating safer and more resilient power systems through innovative control and cyber-physical security strategies. looking forward, he aims to further expand the integration of digital twins, predictive analytics, and artificial intelligence into industrial applications. his vision includes fostering newcomer socialization within academic and research settings, ensuring that new researchers quickly adapt and contribute to the evolving landscape of control systems and cyber-physical security for power systems. his future contributions promise to shape both the educational framework and technological innovations in the energy sector.

Publications

Title: Security Threats and Risk Exposure in Wireless Sensor Networks for Industrial Control Systems: A Case Study
Author(s): Ali Sayghe
Journal: SSRN

Title: Digital Twin-Driven Intrusion Detection for Industrial SCADA: A Cyber-Physical Case Study
Author(s): Ali Sayghe
Journal: Sensors

Title: Digital Twin-Driven Intrusion Detection for Industrial SCADA: A Cyber-Physical Case Study
Author(s): Ali Sayghe
Journal: Preprints

Title: A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Author(s): Ali Sayghe, Y. Hu, I. Zografopoulos, X. Liu, R.G. Dutta, Y. Jin, C. Konstantinou
Journal: arXiv

Title: Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Author(s): Ali Sayghe, Y. Hu, I. Zografopoulos, X. Liu, R.G. Dutta, Y. Jin, C. Konstantinou
Journal: IET Smart Grid

Conclusion

Ali sayghe’s journey reflects a deep commitment to advancing control systems and cyber-physical security for power systems through both academic excellence and applied research. his influence spans from the classroom, where he mentors the next generation of engineers, to the global research community, where his contributions guide best practices for safeguarding energy infrastructure. by fostering newcomer socialization in research and promoting innovative solutions, his future work is set to further strengthen the safety, reliability, and adaptability of industrial power systems.

📜 Early academic pursuits

Mahdi Madani began his academic journey with a strong foundation in electrical engineering, obtaining his license from the university of science and technology houari boumediene (usthb) in algeria from 2007 to 2010. his keen interest in telecommunication networks and multimedia led him to pursue a master’s degree at usthb, which he successfully completed in 2012. his academic aspirations further elevated when he moved to france and pursued his doctorate in electronic systems and information security at the lcoms laboratory, university of lorraine, metz, from 2015 to 2018. this phase laid a solid foundation for his future contributions to electronic systems, cryptography, and information security.

💼 Professional endeavors

Mahdi Madani has established a strong academic and professional career, beginning as a phd student at the lcoms laboratory, university of lorraine, from 2015 to 2018, where he gained profound expertise in information security and electronic systems. following this, he served as a temporary teaching and research assistant at the department of rt, iut auxerre, university of burgundy from 2018 to 2020, and later moved to the department of geii, iut nantes, university of nantes from 2020 to 2022. in september 2022, he was appointed as an associate professor in section cnu 61 at the imvia laboratory, ufr st university of burgundy, dijon, where he continues to contribute significantly to both teaching and research.

🔬 Contributions and research focus

Mahdi Madani’s research interests are centered around chaos-based information hiding and security, chaos-based cryptosystems, and mobile network security for various generations such as 2g, 3g, and 4g. his expertise extends to algorithm/architecture suitability, real-time encryption and decryption, and fpga/soc design and implementation. additionally, he has significantly contributed to the fields of signal processing in text, image, and video formats, as well as embedded deep-learning applications. his work focuses on ensuring high-level security in mobile networks and enhancing system efficiency through advanced cryptographic techniques.

🏅 Accolades and recognition

Mahdi Madani’s exceptional academic and research performance is reflected through his impressive scientific production, which includes 10 international journal papers, 10 articles in international conferences, and 3 articles in national conferences. his scholarly contributions have garnered recognition within the research community, further strengthening his reputation as a leading researcher in the domain of electronic systems and information security. his valuable role as a co-supervisor for doctoral theses, master-2 research projects, and his involvement in guiding future researchers have also added to his academic accomplishments.

🌍 Impact and influence

Mahdi Madani’s research and professional contributions have significantly influenced the fields of information security, mobile network security, and electronic systems. his practical work in real-time encryption and decryption using chaos-based cryptography has greatly impacted the development of secure communication systems. his active participation in international conferences and collaborations has fostered global knowledge exchange and innovation in his field. in addition, his teaching expertise in advanced programming, embedded systems, and iot has inspired numerous students to delve into the realm of electronics and security.

🧠 Legacy and future contributions

With a robust academic and professional background, mahdi madani’s legacy is firmly established in the domains of electronic systems and mobile network security. his future endeavors aim to further revolutionize the field of chaos-based cryptosystems and embedded deep-learning applications. by continuing to supervise doctoral theses, conduct innovative research, and participate in collaborative projects, he aspires to advance the standards of information security and contribute to the academic development of aspiring researchers in the field. his role as an associate professor at the university of burgundy allows him to consistently drive positive academic and technological impact.

Notable Publications

Title: Hardware and Secure Implementation of Enhanced ZUC Stream Cipher Based on Chaotic Dynamic S-Box
Author(s): M Madani, EB Bourennane, S El Assad
Journal: Advances in Science, Technology and Engineering Systems Journal, 2025

Title: An Efficient Design and FPGA Implementation of a Hyper-Chaotic and Deep Learning Based PRNG for Image Security Application
Author(s): Y Alloun, MS Azzaz, A Kifouche, M Madani, EB Bourennane
Journal: 2024 1st International Conference on Electrical, Computer, Telecommunication, 2024

Title: FPGA Implementation of AES-Based on Optimized Dynamic S-Box
Author(s): MMEBB Calvo Mayaud´on Haroldo, Nakojah Chris David
Journal: Proceedings of the 21st International Conference on Security and Privacy, 2024

Title: Visually Image Encryption based on Efficient Deep Learning Autoencoder
Author(s): M Abdelmalek, A Harhoura, I Elaloui, M Madani, EB Bourennane
Journal: 2nd International Conference on Education & Information Technology, 2024

Title: High-Throughput MPSoC Implementation of Sparse Bayesian Learning Algorithm
Author(s): J Wang, EB Bourennane, M Madani, J Wang, C Li, Y Tai, L Wang, F Yang
Journal: Electronics, 2024