Ahmad Khaleel Alomari | Drug Delivery System, Nano Technology | Best Researcher Award

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.

Yufeng Chen | R&D of New Drugs | Best Researcher Award

Prof. Dr. Yufeng Chen | R&D of New Drugs | Best Researcher Award

Deputy Director at Department of Nuclear Medicine, General Hospital of Northern Theater Command, China

Prof. Yufeng Chen serves as the Deputy Director of the Department of Nuclear Medicine at the General Hospital of Northern Theater Command. With a career dedicated to neuropharmacology and nuclear imaging, Prof. Chen has developed a unique interdisciplinary expertise that bridges traditional pharmacological approaches with advanced medical imaging techniques. His work focuses on developing innovative drugs for the treatment of depression, memory disorders, and neuropathic pain, while also contributing to nuclear medicine through PET/MR imaging research. He is a recognized reviewer for several international journals, including Pharmacology, Biochemistry and Behavior, Pharmaceutical Biology, and Clinics. His scholarly output includes 15 SCI-indexed articles and 3 patents in pharmacology and nuclear imaging.

Profile

Scopus

Education

Prof. Chen completed his pharmacy education at the Second Military Medical University, earning both doctoral and post-doctoral credentials with a focus on metabolomics. This academic foundation equipped him with a comprehensive understanding of molecular biology, drug metabolism, and system-wide pharmacological effects. His doctoral research laid the groundwork for later investigations into plant-based therapeutics and neurochemical mechanisms. Throughout his education, Prof. Chen has demonstrated a consistent focus on developing practical solutions from fundamental scientific insights, especially in the realms of traditional medicine and neuropharmacology.

Experience

Prof. Chen has amassed years of research and clinical experience, blending pharmacological discovery with nuclear medicine applications. In his role as Deputy Director, he has spearheaded several clinical and laboratory initiatives that enhance diagnostic precision and therapeutic targeting using PET/MR technologies. Beyond his institutional responsibilities, he has collaborated extensively with interdisciplinary teams, contributing to both basic research and translational clinical projects. As an editorial reviewer and scientific advisor, he has engaged deeply with the academic community, ensuring research quality and guiding novel contributions in pharmacology.

Research Interest

Prof. Chen’s research primarily centers on the R&D of novel drugs targeting neurological and psychiatric conditions, especially those involving chronic and acute pain, memory dysfunction, and depression. In addition, he has made substantial contributions to the application of PET/MR imaging in localizing disease markers. His investigations into the Chinese traditional medicinal plant Paederia scandens revealed multiple compounds with potent antinociceptive effects, contributing to drug development from ethnopharmacological sources. His imaging research with 11C-Choline PET for localizing epileptogenic foci and the development of 18F-labeled AlF-FAPI PET tracers for assessing myocardial fibrosis are recognized as pioneering efforts.

Award

Prof. Chen is a strong contender for the Best Researcher Award due to his multidisciplinary innovation and impact. His work in elucidating mechanisms of action for traditional medicines and translating molecular discoveries into diagnostic imaging applications has garnered significant academic citations and institutional recognition. He has led or contributed to multiple grant-supported projects funded by the Natural Science Foundation of Liaoning Province and the Shenyang Municipal Natural Science Foundation. These efforts have reinforced his reputation as a research leader with both academic and practical influence.

Publication

Prof. Chen’s scientific contributions have been widely cited and respected in the academic community, with a total of 239 citations and an h-index of 9. Selected key publications include:

Chen Y, et al. (2025). “Simultaneous 18F-labeled AlF-FAPI PET/MR images…” Clinics (Sao Paulo), 80:100624 – cited by 12 articles.

Chen YF, et al. (2024). “Antinociceptive iridoid glycosides…” J Asian Nat Prod Res, 26(7):788-794 – cited by 10 articles.

Tong YN, Guo J, Chen YF, et al. (2022). “Antimicrobial limonoids…” J Asian Nat Prod Res, 24(3):238-244 – cited by 8 articles.

Chen YF, et al. (2020). “A new role of 11C-Choline PET…” CNS Neurosci Ther, 26(1):144-147 – cited by 20 articles.

Shi GB, et al., Chen YF* (2015). “Antinociceptive activity of astragaloside IV…” Behav Pharmacol, 26(5):436-46 – cited by 18 articles.

Shi GB, et al., Chen YF* (2014). “Evaluation of wound-healing…” Pak J Pharm Sci, 27(1):91-5 – cited by 16 articles.

Chen YF, et al. (2014). “Mechanism involved in antinociceptive activity…” CNS Neurosci Ther, 20(2):188-90 – cited by 14 articles.
These articles reflect the breadth of Prof. Chen’s research, ranging from phytochemical analyses to the application of nuclear imaging in clinical neurology.

Conclusion

Prof. Yufeng Chen is a distinguished researcher whose interdisciplinary contributions have bridged neuropharmacology and nuclear medicine. His work not only deepens scientific understanding of traditional therapeutic compounds but also enhances modern diagnostic methods through PET/MR innovations. With impactful publications, ongoing research projects, patents, and clinical translation of discoveries, Prof. Chen exemplifies excellence in research and innovation. His leadership in both academic and clinical settings, combined with his pioneering investigations, make him a deserving nominee for the Best Researcher Award.