Hassan Aljaberi | Research Excellence | Editorial Board Member

Dr. Hassan Aljaberi | Research Excellence | Editorial Board Member

Dr. Hassan Aljaberi | Optical Techniques Department, College of Health and Medical Techniques | Iraq

Hasan Abdulhadi Al-Jabri, 38, is an Assistant Lecturer specializing in Optical Techniques at the Department of Optical Techniques, Al-Mustaqbal University, Babylon, Iraq. With a strong academic foundation, including a BSc in Optical Techniques and an MSc in Engineering, he has built an active career in both teaching and research. His academic work is reflected in 12 published documents, 35 citing documents, and an h-index of 4, demonstrating a growing impact within the fields of optometry, biosensing, and optical materials. In his academic role, Al-Jabri teaches key courses in optical techniques and supervises undergraduate graduation projects, contributing to the development of future professionals in optical sciences. His research portfolio spans critical areas such as corneal physiology, refractive error assessment, biosensing materials, and photocatalytic nanocomposites. His notable publications include investigations into the effects of soft contact lenses on corneal endothelial cells, advancements in porphyrin-MOF-based biosensing of chemical contaminants, and a comprehensive meta-analysis on refractive errors among Iraqi school students. He has also explored advanced functional materials, such as Pt-decorated tetragonal graphene for anticancer drug detection and S-Scheme nanocomposite photocatalysts for efficient degradation of organic pollutants under visible light. Beyond research papers, Al-Jabri has contributed scientific articles, including a 2025 review on modern keratoconus treatment approaches. He has also demonstrated active scientific engagement through participation in the Arab Health Exhibition 2024 in Dubai, gaining exposure to cutting-edge diagnostic technologies in ophthalmology. His skills encompass scientific writing, operation of optical and diagnostic devices, and data analysis. His research interests include the impact of contact lenses on corneal health, biosensing technologies, and refractive error epidemiology. Through teaching, research, and scientific participation, Hasan Abdulhadi Al-Jabri continues to advance optical science and contribute valuable insights to both academic and clinical communities.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | LinkedIn

Featured Publications

Elzahra, Z. A., Aljaberi, H. A., Al-Robayi, E. M., & Amer, S. (2025). Investigation of optoelectronic properties using single-molecule laser active media. Opto-Electronics Review. https://doi.org/10.24425/OPELRE.2025.155865

Yaqoubi, M., Ghanbari, M., Maya, R. W., Jasim, H. A., & Salavati-Niasari, M. (2025). Synthesis and characterization of S-Scheme NiMn₂O₄/g-C₃N₄ nanocomposites heterojunction photocatalyst for effective degradation of organic pollutants under visible light. Results in Engineering, Article 104037. https://doi.org/10.1016/j.rineng.2025.104037

Rusho, M. A., Ahmed, A. T., Kanjariya, P., Ballal, S., Singh, A., Supriya, S., Ray, S., Sultan, M. K., Jasim, H. A., & Alkahtani, H. M. (2025). Unveiling a new type of boron-doped carbon sheets as an anode for calcium-ion batteries. Ionics. https://doi.org/10.1007/s11581-025-06423-w

Flayyih, R. A., Alwan, K. J., & Aljaberi, H. A. (2025, December). Comparative heat transfer analysis of helical coil and straight tube heat exchangers. Case Studies in Thermal Engineering. https://doi.org/10.1016/j.csite.2025.107386

Aljaberi, H. A., Rahmani, S., & Muhammad, G. A. (2025, October). Effect of soft contact lens wear on corneal endothelial cell characteristics. Contact Lens and Anterior Eye. https://doi.org/10.1016/j.clae.2025.102441

Xingyu Xiao | Research Excellence | Innovative Research Award | 2397

Dr. Xingyu Xiao | Research Excellence | Innovative Research Award

Dr. Xingyu Xiao | Tsinghua University | China

Xingyu Xiao is a doctoral researcher in Reliability Engineering and Safety Analysis at Tsinghua University, with a strong background in safety engineering from the University of Science and Technology Beijing. His research focuses on risk-informed decision support, human reliability analysis, and the integration of artificial intelligence, large language models, and graph neural networks into nuclear safety and emergency response. With numerous high-impact publications in journals such as Reliability Engineering & System Safety, Energies, and Risk Analysis, he has also contributed to open datasets and advanced frameworks for safety assessment. Recognized with top honors including the Tanzhen Scholar Award, National Scholarships, and multiple Best Paper Awards, Xiao is emerging as a promising young scholar bridging reliability engineering with cutting-edge AI technologies.

Academic Profile 

Scopus | Google Scholar

Education

Dr. Sheng Xiao pursued his academic training in biochemistry and molecular biology, where he gained a strong foundation in cellular processes, molecular signaling, and the interface of traditional medicine with modern biomedical science. His education emphasized both theoretical knowledge and hands-on experimental research, allowing him to develop expertise in advanced laboratory techniques, molecular genetics, and translational applications. This strong academic background laid the groundwork for his future contributions in aging research, intestinal regeneration, and the therapeutic value of natural compounds.

Experience

Dr. Xiao is currently affiliated with the Navy Medical University, where he has advanced through academic and research roles with increasing responsibility. He has successfully led major projects funded at institutional, provincial, and national levels, serving as a principal investigator and collaborator in multidisciplinary teams. His experience covers research into brain–gut interactions, nuclear protein function in cancer biology, and natural medicine applications for age-related diseases. Beyond laboratory research, he has contributed to scientific societies, taken up editorial responsibilities, and engaged in collaborative programs that strengthen the global exchange of biomedical knowledge.

Research Interests

His research is centered on the molecular basis of intestinal stem cell regulation, gut regeneration, and aging-related disorders. He is deeply interested in how natural compounds derived from traditional Chinese medicine influence molecular pathways such as Keap1–Nrf2 and srebp-mediated regulation. By integrating experimental models with translational perspectives, his work bridges the gap between fundamental molecular biology and clinical application. Additionally, he explores the brain–gut axis, aiming to understand the systemic mechanisms that link neurobiology, intestinal health, and therapeutic interventions.

Awards

Dr. Xiao has received recognition for his contributions through prestigious awards in scientific meetings, academic forums, and institutional honors. His poster presentations at international congresses and achievements in traditional medicine research have highlighted his innovative and impactful approaches. He has also been honored with distinguished scholar recognition for his leadership and excellence in research. These awards reflect his growing influence in the field and his continued commitment to advancing biomedical science for the benefit of both academia and healthcare.

Publications

Enhancing LOCA breach size diagnosis with deep learning

Author: X. Xiao, B. Qi, J. Liang, J. Tong, Q. Deng, P. Chen
Journal: Energies
Year: 2023

MixedGaussianAvatar: Realistically and geometrically accurate head avatar via mixed 2D-3D Gaussian splatting

Author: P. Chen, X. Wei, Q. Wuwu, X. Wang, X. Xiao, M. Lu – arXiv
Journal: preprint
Year: 2024

KRAIL: A knowledge-driven framework for base human reliability analysis integrating IDHEAS and large language models

Author: X. Xiao, P. Chen, B. Qi, H. Zhao, J. Liang, J. Tong, H. Wang
Journal: preprint
Year: 2024

Multimodal learning using large language models to improve transient identification in nuclear power plants

Author: B. Qi, J. Sun, Z. Sui, X. Xiao, J. Liang
Journal: Progress in Nuclear Energy
Year: 2024

A dynamic risk-informed framework for emergency human error prevention in high-risk industries: A nuclear power plant case study

Author: X. Xiao, B. Qi, S. Liu, P. Chen, J. Liang, J. Tong, H. Wang
Journal: Reliability Engineering & System Safety
Year: 2025

A national risk analysis model (NRAM) for the assessment of COVID-19 epidemic

Author:  Q. Deng, X. Xiao, L. Zhu, X. Cao, K. Liu, H. Zhang, L. Huang, F. Yu, H. Jiang, …
Journal: Risk Analysis
Year: 2023

Conclusion

Dr. Sheng Xiao’s groundbreaking research, leadership in prestigious projects, and commitment to advancing biochemistry and molecular biology make him an outstanding candidate. His contributions have not only deepened scientific understanding but also paved the way for innovative therapeutic applications, positioning him as a highly suitable recipient of the Innovative Research Award.