Assist. Prof. Dr. Ahmad Khaleel Alomari | Drug Delivery System, Nano Technology | Best Researcher Award

Assistant Professor at Prince Sattam bin Abdualaziz University, Saudi Arabia

Dr. Ahmad Khaleel AlOmari is a distinguished academic and Assistant Professor at Prince Sattam bin Abdulaziz University, recognized for his dynamic contributions to information systems, data analytics, and biomedical technologies. With a strong foundation in intelligent systems and computational analytics, his work integrates advanced technologies such as nanotechnology and knowledge management to develop impactful and interdisciplinary solutions. His scholarly endeavors have earned him a prominent reputation in both academic and professional circles, particularly for his innovative research in semantic technologies, health informatics, and machine learning applications.

Profile

ORCID

Education

Dr. AlOmari’s educational journey has been defined by a commitment to excellence and interdisciplinary depth. With formal training in information systems, biomedical engineering, and computational sciences, he has cultivated an academic profile that supports a cross-functional understanding of technology and its practical implications. His education has empowered him to bridge the gap between theoretical innovation and real-world application, particularly in the domains of intelligent medical systems, nanomaterials, and data-driven decision-making processes.

Experience

Since 2008, Dr. AlOmari has served in various academic roles, notably at King Saud University before joining Prince Sattam bin Abdulaziz University. His career has been marked by involvement in teaching undergraduate and postgraduate students, curriculum development, and supervising research theses. He has also led and collaborated on numerous funded research projects, building strong connections with both academic institutions and industry stakeholders. His work extends to consultancy roles, enabling him to contribute directly to government and private sector advancements through the integration of AI and data systems in applied settings.

Research Interest

Dr. AlOmari’s research interests lie at the intersection of data analytics, intelligent systems, and biomedical engineering. His work focuses on the development of predictive models and diagnostic tools using machine learning, data mining, and semantic technologies. His contributions to nanotechnology-based drug delivery systems and biosensing mechanisms reflect his commitment to leveraging computational tools for improving healthcare outcomes. Additionally, his research explores strategic data use, information quality, and digital transformation in public and private sectors, illustrating his diverse and interdisciplinary research focus.

Award

Dr. Ahmad Khaleel AlOmari is a nominee for the AI Data Scientist Awards under the “Best Researcher Award” category. This nomination acknowledges his extensive scholarly contributions, sustained research excellence, and global collaborations that align with the prestigious objectives of the award. His interdisciplinary innovations and long-standing commitment to research leadership exemplify the qualities of an outstanding scientist in the modern digital landscape.

Publication

Dr. AlOmari has authored numerous impactful studies, with his recent work gaining attention in high-quality peer-reviewed journals. Seven selected publications include:

1. “DFT Insights into Assembling [8]Mcpp with [14]Pyridine Nanobelts for Amino Acid Sensing,” Journal of Molecular Graphics and Modelling, 2025, has been cited in theoretical chemistry research for its novel nanobelt configuration.

2. “Rapid and Efficient Detection of Acetone Using C20-Based Nanostructures,” Diamond and Related Materials, 2025, supports non-invasive diabetes diagnostics and has influenced biosensor innovation studies.

3. “Nanozymes for Multi-mode Biosensing in Food Safety,” Journal of Environmental Chemical Engineering, 2025, is frequently cited in environmental monitoring literature.

4. “AI-Driven Assessment for Mechanical Performance of UVC-Treated Date Palm Epoxy Composites,” Polymers, 2025, merges AI with sustainable materials and is referenced in materials engineering works.

5. “Depressive Symptoms Among Elderly Cancer Patients,” Asian Pacific Journal of Cancer Prevention, 2024, is noted in mental health and oncology-related discussions.

6. “Effectiveness of an Educational Program on Pacemaker Patients,” International Journal of Africa Nursing Sciences, 2024, is recognized in patient rehabilitation and care management articles.

7. “Muscle Relaxation to Mitigate Anxiety in COVID-19 Survivors,” International Journal of Africa Nursing Sciences, 2024, has contributed to post-pandemic mental health literature.

Conclusion

In conclusion, Dr. Ahmad Khaleel AlOmari exemplifies the qualities of an innovative and impactful researcher. His interdisciplinary expertise, spanning computational science, health informatics, and material engineering, allows him to tackle real-world problems through cutting-edge technologies. Through sustained academic engagement, international collaboration, and high-impact publications, Dr. AlOmari has significantly contributed to scientific progress and societal well-being. His ongoing efforts continue to inspire and shape the future of AI-driven research and development, marking him as a deserving candidate for recognition under the AI Data Scientist Awards.