Abdullah Abonamah | Machine Learning | Best Researcher Award

Prof. Abdullah Abonamah | Machine Learning | Best Researcher Award

Research Affiliate at George Washington University, United States

Prof. Abdullah A. Abonamah is a distinguished academic and technology leader with over 40 years of expertise in artificial intelligence (AI), machine learning, and higher education. He currently serves as a Professor of Computing and AI at George Washington University and Chairman of AI Learning Solutions in the UAE. Dr. Abonamah has held key leadership roles, including President of the Abu Dhabi School of Management and CEO of the UAE Academy. He holds a Ph.D. in Computer Science from the Illinois Institute of Technology and has contributed extensively to AI research, focusing on AI integration in business processes, healthcare, smart cities, and cybersecurity. With over 10 patents in AI-driven systems and numerous scholarly publications, his work is widely cited in both academia and industry. Dr. Abonamah has secured over $1 million in research funding and has received several prestigious awards, including the Government of Abu Dhabi Recognition Award. His innovative projects have influenced AI and digital transformation strategies globally, and he has represented the UAE in international delegations. Prof. Abonamah’s leadership, combined with his groundbreaking research, positions him as a deserving candidate for the Best Researcher Award.

Professional Profile
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.

Awards and Honors

Dr. Abdullah A. Abonamah has been the recipient of numerous prestigious awards and recognitions throughout his distinguished career. He was honored with the Government of Abu Dhabi Recognition Award in 2017 for his outstanding contributions to higher education and institutional development. Over the years, he has secured multiple competitive research grants totaling more than $1 million, including major funding for the development of AI and cybersecurity programs by the Federal Authority for Identity, Citizenship, Customs & Port Security and the Emirates Academy for Identity and Citizenship. His innovative projects have led to the creation of several intellectual property-certified digital systems, earning formal recognition from the UAE Ministry of Economy, with over 10 patented and certified software applications in AI, ERP systems, and academic tools. Dr. Abonamah was also awarded the US State Department MEPI Grant for the Emirati Women’s Organizational Leadership Program and received the Microsoft Instructional Lab Grant and other major institutional grants for research labs and technology initiatives. Recognized for his leadership, he has represented the UAE on international delegations, including a technological mission to Japan, and has consistently been acknowledged for his impactful work in promoting innovation, entrepreneurship, and digital transformation in education and governance.

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.

Gan Xu – Artificial Intelligence – Best Researcher Award

Gan Xu – Artificial Intelligence – Best Researcher Award

Mr. Gan Xu distinguished academic and researcher in the field Artificial Intelligence.

🌐 Professional Profile

Educations📚📚📚

He is currently pursuing a Ph.D. in Finance at the Capital University of Economics and Business in Beijing, China, since September 2021. Prior to this, he completed his Master’s in Finance from Beijing Union University, Beijing, China, graduating in June 2021. His academic journey began with a Bachelor’s degree in Biotechnology, which he obtained from Guilin Medical University, Guilin, Guangxi, China, in June 2010.

Research Experience

He participated in the Project of the National Social Science Foundation of China, focusing on the “Research on Level Measurement, Spatial and Temporal Divergence, and Improvement Path of Rural Financial Services for Rural Revitalization” (19BJY158), where he was mainly responsible for the research design of some sub-topics and participated in enterprise research. Additionally, he contributed to the Key Topic of the China Mobile Communication Federation on the “Research on the Application of Blockchain Technology in Finance” (CMCA2018ZD01), taking charge of the research design of certain sub-topics and writing research reports. Furthermore, he was involved in the research project on “Financial Support for Deepening Financial Services for Private and Micro and Small Enterprises” as part of the Comprehensive Reform Pilot City Project in Jincheng City, Shanxi Province, where he was responsible for independently participating in application writing.

Social Experience

He has co-authored several significant publications, including “Financial Density of Village Banks and Income Growth of Rural Residents” with Yang, G.Z., Xu, G., Zhang, Y., and others, published in Economic Issues in 2021. Additionally, he contributed to “Knowledge Mapping Analysis of Seven Decades of Rural Finance Research in China” with Zhang, F., Xu, G., Zhang, X.Y., and Cheng, X., which appeared in Rural Finance Research in 2020. He also co-authored “A Review of Blockchain Applications in the Financial Sector” with Zhang, F. and Cheng, X., published in Technology for Development in 2019.

Honors

  • Received Beijing Outstanding Graduates in 2020
  • Outstanding graduate of Beijing Union University in 2020
  • First Prize of Excellent Paper in the First Annual Meeting of the Financial Technology Professional Committee of the China Society for Technology Economics, 2019
  • Second Prize of Excellent Paper in the 13th China Rural Finance Development Forum, 2019
  • Second Prize of Excellent Paper of the 9th Annual Conference of China Regional Finance and Xiongnu Financial Technology Forum, 2019

📝🔬Publications📝🔬

Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Dr. Micheal Olaolu Arowolo  distinguished academic and researcher in the field Artificial Intelligence. He holds several academic and professional memberships. In March 2021, he became a member of the Institute of Electrical and Electronics Engineers (IEEE), with membership number 96234988. He joined the Asia Pacific Institute of Science and Engineering (APISE) in September 2019, holding membership number M20190918110. In May 2019, he became a member of both the International Society for Computational Biology (ISCB) and the Nigerian Bioinformatics and Genomics Network (NBGN), with membership number NBGNI380. He also joined the Society of Digital Information and Wireless Communications (SDIWC) in March 2017 and the European Alliance for Innovation (EAI) in February 2017. Additionally, he has been a member of the International Association of Engineers (IAENG) since September 2015, with membership number 158851. His professional certifications include being an Oracle Database SQL Certified Expert from Oracle University, achieved in March 2014. Moreover, he is indexed on Scopus (57214819505), ORCID (0000-0002-9418-5346), and Web of Science Researcher (ABD-4157-202), all obtained in 2019.

 

🌐 Professional Profile

Educations📚📚📚

He attended several academic institutions, beginning with ECWA L.G.E.A Primary School ‘B’ in Ilorin, Kwara State, where he obtained his First School Leaving Certificate (FSLC) from 1991 to 1998. He then moved on to Modelak Science College in Ilorin, completing his Senior School Certificate Examination (SSCE) between 1998 and 2004. For his undergraduate studies, he attended Al-Hikmah University in Ilorin, Kwara State, earning a Bachelor of Science (B.Sc.) degree in Computer Science with Second Class Honors (Lower Division) from 2008 to 2012. Continuing his education, he obtained a Master of Science (M.Sc.) degree in Computer Science from Kwara State University in Malete, Kwara State, between 2014 and 2017. Finally, he completed his academic journey at Landmark University in Omu-aran, Kwara State, where he earned a Doctor of Philosophy (Ph.D.) in Computer Science from 2018 to 2021.

Work Experience:

He has held various academic and professional positions throughout his career. Since 2022, he has been serving as a Research Scholar, Instructor, and Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, Columbia, specifically at the Christopher S. Bond Life Sciences Center. In 2021, he was a Lecturer II in the Department of Computer Science at Landmark University, Omu-Aran, Kwara State, Nigeria, and prior to that, from 2020 to 2021, he worked there as an Assistant Lecturer. From 2018 to 2020, he was a Graduate Lecturer in the Department of Computer Science at the Institute of Professional Studies, Kwara State University, Malete. In 2019, he served as an Ad-Hoc Staff for the Independent National Electoral Commission (INEC) in Nigeria, working as an Oke-Ode Ad-Hoc Registration Area Technician for the Kwara State Election. His earlier roles include being an IT Consultant at Dalayak IT Consults from 2016 to 2017, a Computer Analyst at Baylings Enterprises from 2013 to 2015, and a Computer Analyst for the Ogun-Oshun River Basin Development Authority during his National Youth Service Corps (NYSC) from November 2012 to October 2013.

Academic and Administrative Positions Held

He has served in various academic and administrative roles, including being the Academic Level Adviser for Computer Science 400L students and the Examination Officer for the Computer Science department at Landmark University from 2021 to 2022. Additionally, he was a member of the University Ranking Committee at Landmark University in 2022. He contributed to the university community by being a member of the Landmark University Sustainable Development Goal 9 group focused on industry, innovation, and infrastructure. He also served on the Local Organizing Committee (LOC) for the 2nd Nigerian Bioinformatics and Genomics Network (#NBGN21) Conference in 2021. Furthermore, he acted as the Social Director of the Al-Hikmah University Alumni Association and was an instructor for H3ABioNet’s Introduction to Bioinformatics course (IBT_2021).

His personal qualities include good logical skills, a strong personality, excellent communication abilities, keen observation, quick learning, multitasking, and proficiency in computing. Throughout his career, he has supervised over 40 undergraduate students (B.Sc.) on their projects, theses, and dissertations.

📝🔬Publications📝🔬