Ehigiator Egho-Promise | AI Security | Innovative Research Award

Published on by Global Mechanics Awards

Innovative Research Award

Ehigiator Egho-Promise
Affiliation QA Higher Education (Partner Institution of Solent University and Ulster University)
Country United Kingdom
Scopus ID 60156573300
Documents 5
Citations 1
h-index 1
Subject Area AI Security
Event Global Mechanics Awards
Google Scholar jERmIAAAAJ
ORCID 0000-0001-8948-1813

Ehigiator Egho-Promise

QA Higher Education (Partner Institution of Solent University and Ulster University), United Kingdom

Ehigiator Egho-Promise is a researcher associated with QA Higher Education, a partner institution of Solent University and Ulster University in the United Kingdom. His scholarly interests focus on Artificial Intelligence Security (AI Security), emphasizing trustworthy artificial intelligence, cyber resilience, secure machine learning systems, privacy-preserving technologies, and emerging digital security frameworks. Through academic research and collaborative initiatives, he contributes to the advancement of secure AI methodologies capable of supporting reliable digital transformation across multiple sectors. His publication record indexed in Scopus reflects active engagement in AI-related research and emerging cybersecurity applications.[1][2]

Abstract

The Innovative Research Award recognizes meaningful scholarly contributions that promote scientific advancement and practical innovation. Ehigiator Egho-Promise’s research in AI Security explores methods for improving the security, trustworthiness, and resilience of intelligent computing systems. His work contributes to ongoing efforts aimed at protecting artificial intelligence applications from emerging cyber threats while encouraging responsible AI deployment in academic and industrial environments.[1][3]

Keywords

Artificial Intelligence Security, AI Security, Machine Learning Security, Cybersecurity, Secure Artificial Intelligence, Privacy-Preserving AI, Trustworthy AI, Digital Security, Intelligent Systems, Emerging Technologies.

Introduction

Artificial intelligence has become an essential component of modern digital infrastructures, creating new opportunities alongside complex cybersecurity challenges. The growing dependence on AI-driven decision-making requires robust mechanisms capable of ensuring system integrity, data privacy, explainability, and operational reliability. Research within AI Security addresses these issues by developing methodologies that strengthen the resilience of intelligent systems against adversarial attacks, unauthorized access, and evolving cyber risks. Ehigiator Egho-Promise contributes to this research domain through academic investigations aligned with secure AI implementation and responsible innovation.[2][4]

Research Profile

The research profile of Ehigiator Egho-Promise demonstrates an interdisciplinary approach integrating artificial intelligence, cybersecurity, information assurance, and emerging digital technologies. His scholarly activities emphasize secure AI architectures, ethical deployment strategies, intelligent risk assessment, and data protection methodologies. His Scopus-indexed publications provide evidence of participation in internationally recognized scholarly communication while supporting continued research development in AI Security.[1][2]

Research Contributions

His research contributions focus on enhancing the security and robustness of intelligent systems through investigations involving AI governance, cyber resilience, secure computational frameworks, machine learning protection strategies, and privacy-aware computing techniques. These efforts align with the broader scientific objective of ensuring dependable AI systems capable of supporting critical applications in education, business, healthcare, and public services. Such work contributes to strengthening confidence in AI-enabled technologies while encouraging responsible innovation.[2][4]

Publications

The researcher maintains a Scopus-indexed publication portfolio consisting of five scholarly documents. These publications collectively contribute to discussions surrounding AI Security, cybersecurity, intelligent computing, and digital resilience. Citation metrics indicate ongoing academic visibility while providing a foundation for future collaborative research and scientific dissemination.[1]

Research Impact

Research addressing secure artificial intelligence has become increasingly significant due to expanding adoption across public and private sectors. The work of Ehigiator Egho-Promise contributes to discussions on secure digital transformation, trustworthy AI implementation, and resilient computational infrastructures. Continued publication activity and academic collaboration have the potential to support future advances in AI governance and cybersecurity research.[3][4]

Award Suitability

The Innovative Research Award recognizes researchers whose work demonstrates scientific quality, innovation, and relevance to emerging technological challenges. Based on publicly available academic metrics, institutional affiliation, and contributions to AI Security research, Ehigiator Egho-Promise represents a suitable candidate for recognition within the Global Mechanics Awards. His research aligns with contemporary priorities involving secure intelligent systems, ethical technology development, and interdisciplinary scientific advancement.[1][5]

Conclusion

Ehigiator Egho-Promise contributes to the expanding field of Artificial Intelligence Security through research supporting secure, trustworthy, and resilient intelligent systems. His scholarly activities complement global efforts to improve cybersecurity within AI-driven environments while encouraging responsible technological innovation. Continued academic engagement is expected to further strengthen interdisciplinary collaboration and research excellence within this rapidly evolving scientific domain.[2][3]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Ehigiator Egho-Promise, Author ID 60156573300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60156573300
  2. ORCID. (n.d.). ORCID Record: Ehigiator Egho-Promise.
    https://orcid.org/0000-0001-8948-1813
  3. Google Scholar. (n.d.). Scholar Citations Profile.
    https://scholar.google.com/citations?user=X-jERmIAAAAJ&hl=en
  4. IEEE. (2020). Artificial Intelligence Security and Trustworthy Computing.
  5. Global Mechanics Awards. (n.d.). International Research Recognition Platform.
    https://globalmechanicsawards.com/

Zinah Saeed | Deep Learning | Best Researcher Award

Published on by Global Mechanics Awards

Ms. Zinah Saeed | Deep Learning | Best Researcher Award

Universiti Sains Malaysia | Iraq

Saeed ZR is a dedicated researcher and academic with a strong background in computer science, networking technology, and innovative applications of artificial intelligence, currently pursuing his doctoral studies in computer science at the School of Computer Sciences, Universiti Sains Malaysia, after completing a master’s degree in networking technology at Universiti Teknikal Malaysia Melaka and a bachelor’s degree in computer science at Mustansiriyah University in Baghdad, building his academic journey on a foundation of technical expertise and analytical thinking, his research interests cover metaheuristic algorithms, artificial intelligence, deep learning, gesture recognition, assistive technologies, human–computer interaction, and networking security, he has contributed to the academic community with impactful publications including a hybrid improved IRSO–CNN algorithm for accurate recognition of dynamic gestures in Malaysian sign language, a systematic review on systems-based sensory gloves for sign language pattern recognition, and research on improving cloud storage security using three layers of cryptography algorithms, his professional journey includes significant teaching experience as a lecturer at the Iraqi Police Academy where he worked to advance education and training, and his ongoing research and doctoral studies have strengthened his ability to design, implement, and test intelligent systems addressing real-world challenges, his technical skills encompass proficiency in computer software, Microsoft Office applications, and operating systems across Windows and Mac environments, alongside practical programming expertise in Python for scripting and data processing, he is also experienced with widely used research and software tools such as Jupyter, Colab, Git, SPSS, and basic MATLAB, beyond his professional life he nurtures a passion for reading, research, and continuous learning, qualities that support his growth as a thoughtful academic and innovative researcher, his multidisciplinary focus, combined with a strong commitment to impactful scientific contributions, reflects a future-oriented career in advancing artificial intelligence and human-centered technologies.

Profile: Google Scholar

Featured Publications:

Saeed, Z. R., Ibrahim, N. F., Zainol, Z. B., & Mohammed, K. K. (2025). A hybrid improved IRSO–CNN algorithm for accurate recognition of dynamic gestures in Malaysian sign language. Journal of Electrical and Computer Engineering, 2025(1), 6430675.

Saeed, Z. R., Zainol, Z. B., Zaidan, B. B., & Alamoodi, A. H. (2022). A systematic review on systems-based sensory gloves for sign language pattern recognition: An update from 2017 to 2022. IEEE Access, 10, 123358–123377.

Saeed, Z. R., Zakiah Ayop, N. A., & Baharon, M. R. (2018). Improved cloud storage security using three layers cryptography algorithms. International Journal of Computer Science and Information Security, 16(10), 11–18.