Fatma Magdi | Nursing and Health Professions | Best Researcher Award

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Assist. Prof. Dr. Fatma Magdi | Nursing and Health Professions | Best Researcher Award

RAK Medical and Health Sciences University | United Arab Emirates

Dr. Fatma Magdi is an accomplished nursing researcher and academic at Ras Al Khaimah Medical and Health Sciences University (RAKMHSU), United Arab Emirates. Her scholarly work spans geriatric health, community nursing, mental health, and nursing education innovation, with additional interdisciplinary collaborations in bio-nanotechnology, AI in medical imaging, and biosensor technologies. She has authored and co-authored 25 Scopus-indexed publications, accumulating 95 citations across 94 documents, and holds an h-index of 7 (Scopus ID: 57225999851 | ORCID: 0000-0002-2762-3350). Her research has appeared in several high-impact international journals including Cell Biochemistry and Function, Heliyon, Nursing Open, Biological Research for Nursing, Palliative & Supportive Care, and Microchemical Journal. Dr. Fatma Magdi’s work emphasizes evidence-based nursing interventions to enhance the quality of life, sleep, and psychological well-being among elderly populations. She has developed innovative approaches such as home-based Tai Chi exercise programs and tele-nursing applications to promote holistic elder care. Her studies on COVID-19-related mental health, vaccine acceptance, and health behavior models have contributed valuable insights to public health and nursing practice. Beyond clinical and community research, Dr. Fatma Magdi multidisciplinary collaborations address artificial intelligence in healthcare, probiotic applications, and affordability of essential medications in developing nations. She has also contributed book chapters and review papers on the digital transformation of nursing and the future of healthcare education.

Profiles: Scopus | Google Scholar | ORCID | LinkedIn

Featured Publications

  1. Ibrahim, F. M., Fadila, D. E., & Elmawla, D. A. E. A. (2023). Older adults’ acceptance of the COVID‐19 vaccine: Application of the health belief model. Nursing Open, 10(10), 6989–7002. https://doi.org/10.1002/nop2.2084

  2. Ibrahim, F. M., Dabou, E. A. R., AbdelSamad, S., & Abuijlan, I. A. M. (2024). Prevalence of bullying and its impact on self-esteem, anxiety and depression among medical and health sciences university students in Ras Al Khaimah, UAE. Heliyon, 10(3), e24756. https://doi.org/10.1016/j.heliyon.2024.e24756

  3. Ibrahim, A. M., Zaghamir, D. E. F., Sultan, H. M. S., Ibrahim, F. M., & Abdel-Aziz, H. R. (2024). Optimizing geriatric palliative care in Egypt: Comprehensive patient and family perspectives. Palliative & Supportive Care, 22(5), 1272–1281. https://doi.org/10.1017/S1478951524000216

  4. Ibrahim, F. M., Fadila, D. E., & Saad, M. T. (2022). A pilot protocol for improving institutionalized older adults’ psychosocial health during COVID-19 pandemic. International Journal of Health Sciences, 6(S4), 12521–12536. https://doi.org/10.53730/ijhs.v6nS4.12521

  5. Ibrahim, F. M., Salmi, R. N., Saif, M. A., & Mohammed, A. (2024). Sleep disorders’ prevalence and impact on academic performance among undergraduate nursing students in a selected university, United Arab Emirates. SAGE Open Nursing, 10, 23779608241274229. https://doi.org/10.1177/23779608241274229

Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

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Mr. Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

Beijing Stomatological Hospital Affiliated to Capital Medical University | China

Hanchen Zhou, a graduate student at Beijing Stomatological Hospital, Capital Medical University, is an emerging researcher specializing in Oral and Maxillofacial-Head and Neck Oncology, with a primary focus on oral squamous cell carcinoma. He has already distinguished himself by publishing four SCI-indexed research papers that contribute valuable insights into the molecular mechanisms, clinical behavior, and potential treatment strategies for this aggressive malignancy. These publications, cited internationally, reflect his growing influence in oncology research and his ability to translate clinical challenges into innovative scientific solutions. Zhou is actively engaged in funded research projects, including the Innovation Foundation and the Clinical Research Incubation Project of Beijing Stomatological Hospital, demonstrating his capacity to design and execute impactful investigations. A member of the Chinese Stomatological Association, he actively participates in academic collaboration and professional development, strengthening his role within the wider scientific community. Despite being in the early stages of his career, Zhou has already showcased a strong commitment to advancing cancer research, particularly in bridging experimental findings with clinical applications. His work not only enhances the understanding of oral squamous cell carcinoma but also paves the way for improved diagnostic and therapeutic approaches. By integrating scientific rigor with a clear vision for innovation, he exemplifies the qualities of a promising researcher poised for long-term impact.

Profile: Scopus | ResearchGate

Featured Publications

  • Yu, H., Li, B., Huang, Y., & Zhang, X. (2025). Prognosis of second primary oral squamous cell carcinoma after hematologic malignancy: A retrospective cohort analysis. Frontiers in Oncology, 15, Article 1667226. https://doi.org/10.3389/fonc.2025.1667226

  • Zhou, H., Luo, C., Xu, Q., & Wang, C. (2025). Machine learning approach to predict surgical site infection in head and neck squamous cell carcinoma patients after free flap reconstruction. Journal of Cranio-Maxillofacial Surgery. Advance online publication. https://doi.org/10.1016/j.jcms.2025.09.010

  • Cheng, A., Wei, K., Xu, Q., & Wang, C. (2025). The comparison of the prognostic value of different inflammation-related indicators in patients with oral squamous cell carcinoma. Frontiers in Genetics, 16, Article 1652603. https://doi.org/10.3389/fgene.2025.1652603

  • Li, B., Zhao, Z., Huang, Y., & Zhou, H. (2025). The application of adjuvant radiotherapy in pN1 OSCC patients without adverse pathologic features. Oral Diseases, 31(1), e15336. https://doi.org/10.1111/odi.15336

Nitika Dhingra | Health Professions | Best Researcher Award

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Dr. Nitika Dhingra | Health Professions | Best Researcher Award

Chitkara University | India

Dr. Nitika Dhingra  is an academic and researcher at Chitkara University, Punjab, India, with expertise in machine learning–integrated sensor development, non-destructive spectroscopy, and RF-based sensing technologies. She holds a Ph.D. in Electronics and Communication Engineering from Chitkara University, supported by an M.Tech from Punjabi University and a B.Tech from Punjab Technical University. Her research advances applications in food adulteration detection, construction material classification, and structural health monitoring of heritage sites. She has contributed significantly as a Junior and Senior Research Fellow under a DST-SHRI scheme, focusing on sensor design, embedded systems, and machine learning integration. In 2024, she secured a DST-funded research grant worth 27 Lakhs as Principal Investigator, demonstrating her leadership in high-impact projects. Her scholarly contributions include 12 publications indexed in Scopus, 9 citations across 8 documents, and an h-index of 2, along with several granted and filed patents. She has been honored with the Gandhian Young Technological Innovation Award, DST Senior Research Fellowship, and the Best Paper Presentation Award at ICAMSE, and was a semi-finalist in the DST–Texas Instruments Innovation Challenge. Dr. Nitika Dhingra’s career exemplifies innovation, academic excellence, and impactful contributions to science and technology.

Profile: Scopus

Featured Publications

  • Dhingra, N., Saluja, N., Garg, R., & Kanwar, V. (2023). Radio frequency as a non-destructive approach to concrete structure health monitoring. Iranian Journal of Science and Technology, Transactions of Civil Engineering. Cited by: 3.

  • Dhingra, N., Ghosh, D., Saluja, N., & Sabapathay, T. (2023). Radio frequency based sensor for adulteration measurement in a continuous two phase-flow of alcoholic beverages. Sensing and Imaging, 24(1), 32. Cited by: 2.

  • Dhingra, N., Saluja, N., Kanwar, V., & Garg, R. (2021). Moisture sensitive electrical property measurement in concrete slab with step graded antenna. Materials Today: Proceedings, 45, 5172–5176. Cited by: 2.

  • Dhingra, N., & Saluja, N. (2024). RF sensor-based adulterant discriminant estimation in mustard oil. Sensing and Imaging, 25(1), 59. Cited by: 1.

  • Dhingra, N., & Saluja, N. (2024). A novel non-destructive technique-based automated classification of construction material using machine learning. Asian Journal of Civil Engineering, 25(1), 805–810. Cited by: 1.

  • Geetanjali, Jindal, P., Saluja, N., Kashyap, N., & Dhingra, N. (2023). Design and optimization of wideband RF energy harvesting antenna for low-power wireless sensor applications. Proceedings of International Conference on Data Science and Applications. Cited by: 1.