Prof. Abdullah Abonamah | Machine Learning | Best Researcher Award

Research Affiliate at George Washington University, United States

Scopus

Google Scholar

Summary

Dr. Abdullah A. Abonamah is a highly accomplished academic, technology strategist, and business leader with over four decades of experience in computing, artificial intelligence, and higher education leadership. He currently serves as Professor of Computing and AI at George Washington University’s Environmental and Energy Management Institute and is Chairman of the Board of AI Learning Solutions in the UAE. Dr. Abonamah has held numerous executive, academic, and advisory roles, including President and Provost of the Abu Dhabi School of Management, and CEO of the UAE Academy. His work bridges academia, innovation, and industry with a focus on AI adoption, data strategy, and digital transformation.

Educational Background

Dr. Abonamah holds a Ph.D. in Computer Science from the Illinois Institute of Technology, USA, and an M.S. in Computer Science and Engineering from Wright State University. He earned his B.S. in Computer Science from the University of Dayton and later obtained an Executive Management Certificate from Yale School of Management. His multidisciplinary academic foundation has empowered his leadership in both technical research and institutional development.

Professional Experience

Dr. Abonamah has served in numerous high-impact roles, including:

• Professor of Computing at Abu Dhabi School of Management (2007–2024)

• Professor of IT at Zayed University (2000–2007)

• Director of the Institute for Technological Innovation (Dubai Internet City)

• Chair, AI Management Institute at ADSM

• Business leader and strategist in several startups and research institutes
  In his leadership positions, he led major organizational transformations, managed multimillion-dollar budgets, implemented ERP and AI systems, developed academic programs, and fostered public-private partnerships. He also served as Dean, Program Director, and Assistant Dean in various institutions, ensuring accreditation and global standards compliance.

Research Interests

Dr. Abonamah’s research spans artificial intelligence, machine learning, cybersecurity, fault-tolerant computing, and innovation ecosystems. His recent work focuses on the integration of AI into business processes, human-centered machine learning, and strategic data governance. He is also involved in applied AI projects in healthcare, smart cities, and education technology.

Author Metrics

Dr. Abonamah has authored and co-authored dozens of journal articles, book chapters, and conference papers, many of which are indexed in Scopus, IEEE, and Web of Science. He holds multiple patents and intellectual property certificates for AI-driven systems, ERP modules, academic tools, and mobile apps. His scholarship includes both foundational theory and practical implementations, making his work highly cited in both academic and industry domains.

Publication Top Notes

1. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

• Authors: A. Abonamah, F.N. Sibai

• Published in: Journal of Computer Information Systems, 2025, pp. 1–16

• Summary:
  This paper introduces a novel adaptive cybersecurity algorithm specifically designed for cognitive cities, which rely heavily on interconnected AI systems and IoT infrastructure. The algorithm leverages collaborative machine learning, enabling various smart subsystems to share threat intelligence and dynamically adjust defenses in real time. The model improves resilience, threat detection speed, and situational awareness, offering a scalable security solution for complex urban networks.

2. Managerial Insights for AI/ML Implementation: A Playbook for Successful Organizational Integration

• Authors: A.A. Abonamah, N. Abdelhamid

• Published in: Discover Artificial Intelligence, 2024, Vol. 4(1), Article 22

• Summary:
  This publication acts as a strategic guide for executives and IT leaders aiming to deploy AI and machine learning within organizations. It outlines a structured playbook, highlighting critical success factors, common pitfalls, change management practices, and technology readiness considerations. The work is grounded in case studies and offers a framework for bridging technical solutions with organizational goals.

3. Discover Artificial Intelligence

• Authors: A.A. Abonamah, N. Abdelhamid

• Published in: Discover, 2024, Vol. 4, Article 22

• Summary:
  This appears to be a companion piece or an editorialized version of the article above, with expanded commentary on AI governance, leadership roles, and ethical implementation frameworks. It emphasizes building institutional capability and fostering innovation culture for sustainable AI integration.

4. Wearable Sensor-Based Device for Predicting, Monitoring, and Controlling Epilepsy and Methods Thereof

• Inventors: M.U. Tariq, A.A. Abonamah

• Filing Number: US Patent App. 18/107,839

• Filed in: 2023

• Summary:
  This patent proposes a wearable biomedical device equipped with sensor arrays and AI algorithms for the real-time detection, prediction, and intervention of epileptic seizures. The system analyzes physiological data—such as ECG, EEG, and temperature signals—and uses machine learning to anticipate seizure events, offering alerts or therapeutic responses. It aims to enhance autonomous patient care and reduce medical emergencies, particularly in outpatient or home settings.

5. Artificial Intelligence Technologies and Platforms

• Authors: M.U. Tariq, A. Abonamah, M. Poulin

• Published in: Engineering Mathematics and Artificial Intelligence, 2023, pp. 211–226

• Summary:
  This book chapter provides an in-depth analysis of leading AI platforms and ecosystems, such as TensorFlow, PyTorch, and Azure AI. It covers architecture, deployment strategies, and use cases across domains like healthcare, finance, and smart cities. The chapter emphasizes the selection criteria for AI tools, and how platform choices affect scalability, maintainability, and compliance in enterprise contexts.

Conclusion

Prof. Abdullah A. Abonamah is an outstanding and highly deserving candidate for the Best Researcher Award. His blend of academic scholarship, applied innovation, institutional leadership, and global impact positions him uniquely at the intersection of technology and societal advancement. His research addresses real-world challenges with AI-driven solutions, while his leadership roles have built enduring institutions and empowered future generations.

Given his contributions to AI research, higher education reform, cross-sectoral innovation, and IP development, Prof. Abonamah clearly meets and exceeds the criteria for this award. He is not only a prolific scholar but also a visionary leader and mentor, making him an ideal recipient of the Best Researcher Award.