Ruixin Zhang | latent profile analysis | Best Researcher Award

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Ms. Ruixin Zhang | latent profile analysis | Best Researcher Award

The First Affiliated Hospital of Chongqing Medical University | China

Author Profile

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🎓 Education & Clinical Foundations

From earning her Bachelor’s (2014–2018) and Master’s in Nursing (2018–2021) at Chongqing Medical University to her current role in the Orthopaedics Department at the First Affiliated Hospital of Chongqing Medical University, Ms. Zhang brings academic depth and clinical experience in elderly and orthopedic patient care.

🔍 Research & Project Leadership

She currently leads a ¥300K hospital-level project on day-surgery meniscus postoperative care, and has contributed to Chongqing-wide initiatives in stroke exercise therapy, cloud rehabilitation, cranial monitoring, and neuro-critical nutrition—blending innovation with practical impact.

🧠 Focus Areas & Expertise

Ms. Zhang specializes in geriatric rehabilitation, post‑operative orthopedic care, stroke recovery, and pulmonary infection prevention in neurologically ill patients—applying both ethical and evidence-based care.

📚 Publications & Knowledge Leadership

As first or co-first author, she’s published in journals like BMC Nursing (2025) bmcnurs.biomedcentral.com+3bmcnurs.biomedcentral.com+3link.springer.com+3, Nursing Open (2024), and European Journal of Clinical Nutrition (2022), and authored a monograph on stroke hemiplegia rehabilitation—underscoring her commitment to advancing nursing science.

🏆 Recognition & Professional Growth

Her role as principal investigator on major grants, multiple peer-reviewed publications, and the publication of a monograph highlight her strengths in project management, team leadership, and clinical practice innovation.

📖Publications

Latent profile analysis of moral courage and coping style among nursing interns: a multicenter cross-sectional survey

  • Authors: Xue Wang, Ruixin Zhang, Jie Chen, Jiao Wu, Zhi Huang

  • Journal: BMC Nursing

  • Year: 2025

  • Date Published: July 1, 2025

  • DOI: 10.1186/s12912-025-03180-z

  • ISSN: 1472-6955

2. The influence of psychological resilience and nursing practice environment on nurses’ moral courage: A cross‐sectional study

  • Authors: Ruixin Zhang, He Shan, Tang Yongli, Jie Chen, Chen Qianzhu, Wang Xue

  • Journal: Nursing Open

  • Year: 2024

  • Date Published: April 2024

  • DOI: 10.1002/nop2.2163

3. An mNUTRIC-based nomogram for predicting the in-hospital death risk in patients with acute stroke

  • Authors: Rui-xin Zhang, Wei-wei Zhang, Ye-tao Luo, Guangwei Liu

  • Journal: European Journal of Clinical Nutrition

  • Year: 2022

  • Date Published: October 2022

  • DOI: 10.1038/s41430-022-01127-0

  • ISSNs: 0954-3007 (Print), 1476-5640 (Online)

Osman Makkawi | Energy and Utilities Analytics | Best Researcher Award

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Dr. Osman Makkawi | Energy and Utilities Analytics | Best Researcher Award

Liwa university | United Arab Emirates

Author Profile

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🧑‍🔬 Professional Summary

Dr. Osman Makkawi is an accomplished materials physicist and educator with over 10 years of experience in semiconductor materials, nanotechnology, and energy systems. His work focuses on 2D materials, optoelectronic devices, and graphene-based field-effect transistors (FETs). With a strong background in translational research, he has published extensively in high-impact journals and led collaborative innovation across academia and industry. He is passionate about graduate-level teaching and mentorship, aiming to inspire and develop future researchers in the field.

🔍 Research Interests

His primary research areas include emerging semiconductor devices and van der Waals heterostructures, synthesis of 2D materials for FET and optoelectronic applications, electrochemical energy storage, and sustainable hydrogen generation. Dr. Makkawi is particularly interested in applying nanotechnology to solve real-world energy challenges through translational research.

👨‍🏫 Professional Experience

Currently, Dr. Makkawi serves as an Assistant Professor of Physics & Applied Electric Circuit at Liwa College of Engineering, UAE (Jan 2023–Present), where he developed industry-relevant curricula and enhanced student engagement, increasing participation by 70%. He previously lectured at Sharjah Maritime Academy (2020–2023), where he significantly improved student pass rates through interactive teaching methods, and at the Academy of Engineering Science in Sudan (2008–2010), delivering courses in physics, chemistry, thermodynamics, and materials science.

🎓 Education

Dr. Makkawi earned his PhD in Material Physics and Chemistry from Harbin Institute of Technology, China (2013–2017), where he specialized in nanomaterial fabrication. He also holds an M.Sc. in Physics (Material Science) from Al-Neelian University, a Postgraduate Diploma in Education from the Open University of Sudan, and a B.Sc. in Physics (Honours) from the University of Khartoum.

🧪 Technical & Research Skills

His technical expertise includes 2D material fabrication (graphene, InSe, MoSe₂, h-BN), device applications such as supercapacitors, FETs, and hydrogen generation, and advanced characterization techniques (SEM, TEM, XRD, AFM, XPS, EDX). He is proficient in simulation and data analysis tools including COMSOL Multiphysics, OriginLab, and LabView.

📚 Teaching & Academic Service

Dr. Makkawi teaches graduate-level courses in advanced physics, nanotechnology, and electronic materials. He is actively involved in curriculum development that integrates modern industry needs, and he mentors graduate students in both research and professional development. He also serves as a peer reviewer for respected journals in nanotechnology and applied materials.

🌍 Professional Engagement

A regular participant in international conferences on materials science and sustainable energy, Dr. Makkawi collaborates with global research teams to develop advanced technologies for a greener future. His ongoing efforts contribute to a growing network of international academic and industry partnerships.

📖Publications

Optimized electrochemical performance and longevity in asymmetric supercapacitors using binder-free MOF-808/Ti₂N electrodes

Authors: Makkawi Osman; Md Rezaul Karim; Haseebul Hassan; Abdullatif Hakami; M. Musa Saad H.-E; M. Iqbal; Sidra Mumtaz
Journal: Journal of Energy Storage
Year: 2025

Enhanced photoresponse through van der Waals heterostructure integration: p-GaSe and n-MoSe₂ on h-BN substrate

Authors: Makkawi Osman; Haseebul Hassan; Muhammad Waqas Iqbal; Muhammad Hasnain Jameel; Samia Arain; Khaled Althubeiti; Mohammed Aljohani; Ehsan Elahi; Sidra Mumtaz
Journal: Journal of Materials Chemistry C
Year: 2024

Graphene Quantum Dots Decorated on Chromium Oxide and Zirconium Metal-Organic Framework Composite (GQDs@Zr-MOF/Cr₂O₃) for Asymmetric Supercapacitors and Hydrogen Production

Authors: H. Hassan; Misbah Shoaib; Khakemin Khan; Mohamed A. Ghanem; Makkawi Osman
Journal: Materials Chemistry and Physics
Year: 2024

Temperature optimization for enhancing the electrochemical performance of covalent triazine frameworks composite with Nb-based Mxene in asymmetric supercapacitors and hydrogen production

Authors: Makkawi Osman; Haseebul Hassan; Zubair Ahmad; Imad Barsoum; Sidra Mumtaz; Muhammad Waqas Iqbal; Ahmed Althobaiti; Alsharef Mohammad; Khakemin Khan
Journal: Journal of Energy Storage
Year: 2024

Enhanced ionic diffusion in a gold-augmented binary metal–organic framework composite with zirconium oxide for asymmetric supercapacitors and monosodium glutamate (MSG) detection

Authors: Haseebul Hassan; Muhammad Imran; Makkawi Osman; Abdullatif Hakami; Khakemin Khan; Ahmed Mahmoud Idris
Journal: Ionics
Year: 2024

Ziyang Cao | Machine Learning and AI Applications | Best Researcher Award

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Mr. Ziyang Cao | Machine Learning and AI Applications | Best Researcher Award

Fuyang Normal University | China

Profile Verified

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👤 Summary

Ziyang Cao is a passionate and dedicated graduate student currently pursuing a Master of Engineering in Computer Technology at Fuyang Normal University. With a keen interest in artificial intelligence, he focuses on Few-Shot Learning to develop models that perform effectively with limited data.

🎓 Education

Ziyang is enrolled in the Master of Engineering in Computer Technology program at Fuyang Normal University (West Lake Campus), where he is building a strong foundation in both theoretical and applied computer science.

💼 Professional Experience

Currently focused on academic research, Ziyang has been involved in collaborative university projects and continues to seek opportunities to apply his knowledge in real-world settings. (Further experience can be added as it becomes available.)

📚 Academic Citations

Ziyang is actively engaged in preparing research papers related to Few-Shot Learning and aims to contribute to peer-reviewed publications in the near future.

🧠 Technical Skills

His technical toolbox includes proficiency in Python and Java, with hands-on experience in machine learning frameworks such as TensorFlow and PyTorch. He is also adept at using Git for version control and Jupyter Notebook and LaTeX for documentation and presentation.

👨‍🏫 Teaching Experience

Ziyang has contributed to undergraduate computer science education by assisting in lab sessions and offering support in programming courses, enhancing both his teaching and communication skills.

🔬 Research Interests

His primary research interests lie in Few-Shot Learning, Deep Learning, Neural Network Optimization, and Computer Vision. He is particularly motivated by the challenge of enabling AI systems to learn efficiently from minimal data.

📚 Selected Publication

ProFusion: Multimodal Prototypical Networks for Few-Shot Learning with Feature Fusion

  • Authors: Jia Zhao, Ziyang Cao, Huiling Wang, Xu Wang, Yingzhou Chen

  • Journal: Symmetry

  • Year: 2025

Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

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Dr. Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Abu Dhabi University | United Arab Emirates

PUBLICATION PROFILE

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📘 INTRODUCTION

DR. MURAD AL-RAJAB is a dedicated academic and technology professional whose expertise spans across computer science, data science, artificial intelligence, and sustainable computing. With over a decade of experience in academia and IT leadership, Dr. Al-Rajab is recognized for his ability to bridge the gap between theoretical knowledge and practical application in digital transformation and emerging technologies.

🎓 EARLY ACADEMIC PURSUITS

Dr. Al-Rajab’s academic journey began with a Bachelor of Science in Computer Science from Aman University of Science and Technology in 2005. He later pursued two Master’s degrees: one in Computer Science from the New York Institute of Technology in 2008 and another in Information Systems Management from HCT in 2014. His academic aspirations culminated in earning a PhD in Computer Science from the University of Huddersfield in 2019, marking the foundation for his future contributions to academic research and teaching.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Al-Rajab currently serves as an Assistant Professor at Abu Dhabi University (ADU) since 2020, having also served as a Part-Time Adjunct Assistant Professor from 2019–2020. His prior roles include a Lecturer at Abu Dhabi School of Management (ADSM) and IT Director at ALHOSN University. These roles reflect a unique blend of academic dedication and administrative expertise, showcasing his leadership in both educational and operational spheres.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Al-Rajab’s research interests include machine learning, data science, AI applications, smart systems, and sustainable technology solutions. His work focuses on applying AI to societal challenges—from energy optimization and disaster management to AR-based education and smart tourism. As an active researcher, he explores interdisciplinary frameworks, often combining data-driven models with real-world applications.

🌍 IMPACT AND INFLUENCE

Through organizing initiatives like Software Engineering Days, Cybersecurity Days, and Blockchain Hackathons (2021–2024), Dr. Al-Rajab has become a catalyst for tech-driven dialogue and student engagement. As Leader of the ADU Computing Club and Coordinator of field trips and social activities, he promotes academic enrichment and community building. His work also includes committee contributions to ICASF 2024, the ADU IMT Steering Committee, and more.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Al-Rajab has published several impactful journal articles and conference papers in recent years. His works include:

  • “Sustainable EnergySense” (2024, Discover Sustainability), addressing energy efficiency through machine learning.

  • “QUALITY POINTPAL” (2024), redefining social networking with AI.

  • A highly innovative study on crescent moon visibility prediction published in both Scientific Reports (2023) and Journal of Big Data (2024).

  • He also contributed to cancer detection, traffic flow forecasting, and gene classification using AI models.
    Notably, his 2024 paper on AI for Real-Time Disaster Management, presented at CITS in Spain, reflects his ongoing commitment to societal impact through research.

🏅 HONORS & AWARDS

Dr. Al-Rajab has received multiple awards for excellence and innovation. In 2024, he was honored with the Best Scientific Research Contribution Award by the University of Wollongong, Dubai. He also received the Best Presentation Award at an international research conference in Canada (2020) and was recognized as Best Presenter at HCT in 2013.

🧑‍💻 CERTIFICATIONS & PROFESSIONAL MEMBERSHIP

A certified IBM Data Science Practitioner Instructor and a Huawei Certified ICT Associate in AI, Dr. Al-Rajab continuously sharpens his skillset through professional certifications in IoT, Enterprise Design Thinking, and Applied Data Science. He is also a proud member of the British Computer Society – The Chartered Institute for IT, reinforcing his engagement in the global tech community.

🧠 PROFESSIONAL DEVELOPMENT

He actively participates in workshops and training sessions including AI in education, reflective STEM strategies, quantitative research design, and leadership programs. These continuous learning efforts demonstrate his passion for staying ahead in both pedagogy and technology.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Al-Rajab’s legacy is deeply embedded in nurturing innovation, enhancing educational experiences, and fostering sustainable digital transformation. With an eye on the future, his upcoming initiatives and research are expected to further integrate AI for societal good, especially in education, healthcare, and smart living.

📝 FINAL NOTE

Dr. Murad Al-Rajab exemplifies the modern academic—visionary, innovative, and community-driven. His balanced contributions in research, teaching, leadership, and student empowerment make him a key figure in the region’s academic and technological advancement. As technology evolves, so does his mission: to build smarter, more sustainable futures through the power of education and innovation.

 📚 TOP NOTES PUBLICATIONS

Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: Computer Methods and Programs in Biomedicine

    • Year: 2017

Title: Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP: Abu Dhabi Intelligent Parking”

    • Authors: S.A. Alkheder, M.M. Al Rajab, K. Alzoubi

    • Journal: Alexandria Engineering Journal

    • Year: 2016

Title: A framework model using multifilter feature selection to enhance colon cancer classification

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: PLOS ONE

    • Year: 2021

Title: Quality Pointpal: AI-enhanced redefinition of social networking for sustainable digital usage and genuine human connections

    • Authors: O.O. Ahmed, S.I.T. Islam, S.I. Hamdan, M. Al-Rajab, I. Alqatawneh, A. Al-Sartawi, et al.

    • Journal: Operational Research in Engineering Sciences: Theory and Applications

    • Year: 2024

Title: AI-Powered Smart Book: Enhancing Arabic Education in Palestine with Augmented Reality

    • Authors: M. Al Rajab, S. Odeh, S. Hazboun, E. Alheeh

    • Journal: International Symposium on Ambient Intelligence

    • Year: 2023

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

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Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023