Faten AlQaifi | Artificial Intelligence | Best Researcher Award

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Dr. Faten AlQaifi | Artificial Intelligence | Best Researcher Award

Atilim University, Turkey.

Dr. Faten Musaed Alqaifi is a multidisciplinary researcher currently pursuing her Master’s in Healthcare Management at Atılım University, Turkey. She brings a unique blend of expertise in dental surgery, healthcare management, and artificial intelligence, having earned her MBA in Healthcare Management from UTM, Malaysia. With academic excellence reflected in her top CGPAs, she has contributed to both clinical and psychosocial research domains. Her recent studies explore AI’s role in improving oral healthcare outcomes and the psychological dimensions of international student life. She has worked as a general dentist, educator, and volunteer in diverse cultural settings, underscoring her global adaptability and social commitment. Fluent in Arabic, English, and intermediate Turkish, Dr. Alqaifi exemplifies the qualities of a globally engaged researcher.

🌐Author Profiles

Strengths for the Award

  1. Interdisciplinary Research in Healthcare and AI
    Faten Alqaifi has shown a strong interdisciplinary approach, particularly in integrating artificial intelligence into healthcare systems. Her 2024 publication titled “Artificial intelligence’s impact on oral healthcare in terms of clinical outcomes: a bibliometric analysis” reflects a forward-thinking research agenda. By analyzing AI’s role in improving clinical outcomes, she contributes meaningfully to a high-impact and emerging area in health sciences and management.

  2. Empirical Work in Mental Health and Social Integration
    Her 2025 paper, “International students’ adaptation in Ankara: The mediating roles of anxiety and self-esteem”, published in the International Journal of Intercultural Relations, indicates her engagement with global psychological and sociocultural issues. This work not only highlights her concern for vulnerable populations but also showcases the use of rigorous methodologies in behavioral and intercultural research.

  3. Diverse Experience and Multilingual Skills
    Faten has a well-rounded professional background as a dentist, academic tutor, volunteer, and general manager. She speaks Arabic natively and is proficient in English and Turkish, enabling her to conduct research and collaboration across regions. Her use of advanced research tools (e.g., SPSS, SmartPLS, bibliometric software) further enhances her research capacity.

🔹 Education 

Dr. Alqaifi holds a Bachelor’s in Dental Surgery from the Yemeni University of Science and Technology, where she ranked fifth in her class. She earned her first Master’s degree—an MBA in Healthcare Management—from Universiti Teknologi Malaysia (UTM) with a stellar GPA of 3.94/4. Building on her academic and clinical background, she is now completing a second Master’s in Healthcare Management at Atılım University, Turkey, where she maintains a GPA of 3.93/4. Her ongoing thesis investigates the adoption of artificial intelligence in dentistry, combining technology, healthcare policy, and clinical practice. This educational trajectory highlights her commitment to interdisciplinary learning and research excellence.

🔹 Research Focus on Artificial Intelligence

Dr. Faten Alqaifi’s research lies at the intersection of healthcare innovation, artificial intelligence, and behavioral science. Her ongoing thesis on AI integration in dentistry demonstrates a forward-looking approach to digital transformation in healthcare. Her research agenda emphasizes both technological effectiveness and human-centered outcomes, as evidenced by her bibliometric analysis on AI’s clinical impact in oral healthcare. Simultaneously, she investigates psychological dimensions of social adaptation, particularly anxiety and self-esteem among international students—adding depth to her interdisciplinary reach. She is proficient in tools like SPSS, SmartPLS, and bibliometric analysis platforms, enabling her to conduct statistically robust, data-driven research. Faten’s aim is to bridge the digital and human aspects of healthcare policy and practice.

📚 Publication Top Notes

1. International Students’ Adaptation in Ankara: The Mediating Roles of Anxiety and Self-Esteem

Author: Faten Alqaifi
Journal: International Journal of Intercultural Relations, Vol. 108, Article 102249, 2025
Summary:
This study explores the psychological adjustment process among international students in Ankara, focusing on the mediating impact of anxiety and self-esteem on their adaptation levels. Using structural equation modeling, Alqaifi identifies critical pathways by which mental health factors influence sociocultural integration. The research provides insights for universities and policymakers aiming to improve the student experience in multicultural settings.

2. Artificial Intelligence’s Impact on Oral Healthcare in Terms of Clinical Outcomes: A Bibliometric Analysis

Authors: Faten Alqaifi, D. Tengilimoglu, I. Arslan Aras
Journal: Journal of Health Organization and Management, 2024
Summary:
This bibliometric study investigates global research trends on AI applications in oral healthcare. Analyzing data from Scopus and Web of Science, the authors assess publication patterns, key contributors, emerging keywords, and citation landscapes. The study concludes that AI is increasingly driving diagnostic precision, treatment planning, and clinical outcome optimization in dentistry. It positions AI as a transformative force and sets the foundation for future strategic investments in digital dentistry.

Conclusion

Dr. Faten Musaed Alqaifi shows strong potential for recognition as an emerging interdisciplinary researcher in healthcare, AI, and social sciences. Her academic excellence, early contributions in high-relevance areas, and diverse experience make her a promising candidate for the Best Researcher Award. However, to fully meet the expectations of this award at a global competitive level, she should aim to expand her publication portfolio, lead independent research projects, and pursue collaborative or funded initiatives. With her current trajectory and dedication, she is on a strong path to achieving these milestones.

 

Xiangyu Zhang | Public Health | Best Researcher Award

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Mr. Xiangyu Zhang | Public Health | Best Researcher Award

Doctoral Researcher, CAS Institute of Automation, China

Dr. Xiangyu Zhang is a doctoral researcher at the Institute of Automation, Chinese Academy of Sciences (CASIA). With a strong foundation in mechanical engineering and robotics, Dr. Zhang transitioned into the realm of social computing and artificial intelligence. His research addresses real-world crises by developing cognitive AI agents and multi-agent systems for public health emergency response. His collaborative work with the Chinese CDC and the Beijing CDC has resulted in intelligent models that predict disease outbreaks and optimize response strategies using advanced machine learning and large language models. His forward-thinking research contributes significantly to the growing intersection between AI and epidemiology, aiming to build resilient, data-driven health systems. A rising voice in the AI and public health community, Dr. Zhang continues to lead impactful research published in leading journals and presented at top international Awards.

Author’s Profile

🎓 Education

Dr. Zhang’s educational journey exemplifies his interdisciplinary approach. He is currently pursuing his Ph.D. in Social Computing at CASIA under the University of Chinese Academy of Sciences. His research integrates AI, epidemiology, and intelligent systems at the State Key Laboratory of Multimodal Artificial Intelligence Systems. Prior to this, he earned his M.Sc. in Mechanical Engineering from the University of Electronic Science and Technology of China (UESTC), where he specialized in biomimetic actuators in robotics. His undergraduate studies in Mechanical Design (B.Eng., UESTC) laid the foundation for his engineering acumen, particularly in robotic arm systems and control mechanisms. This unique blend of mechanical design and cognitive AI enables him to craft deeply technical yet socially responsive research, blending physical systems with computational intelligence to solve contemporary global health challenges.

🏢 Experience

Dr. Zhang’s research experience spans across both engineering innovation and public health intelligence. As a Ph.D. researcher at CASIA, he is engaged in groundbreaking work on cognitive agent-based systems for pandemic response and crisis management. He has worked extensively with high-stakes research projects funded by the National Natural Science Foundation of China and the Next-Generation AI Development Plan (2015–2030). His key contributions include developing simulation models for outbreak prediction and adaptive intervention frameworks using LLMs and multi-agent systems. He has collaborated directly with the Chinese CDC and Beijing CDC, grounding his work in critical, real-world public health needs. His previous research in robotics labs focused on elastic actuators and autonomous learning systems, bringing an engineering lens to his AI-driven innovations. Despite his early career stage, his experience is already making waves in intelligent public health system design.

🔬 Research Focus

Dr. Zhang’s research centers on the development of intelligent decision-support systems for public health emergencies. His primary focus lies in the integration of multi-agent systems, epidemiological modeling, and large language models (LLMs) to create dynamic, real-time frameworks for disease surveillance, prediction, and intervention. He has proposed agent-based simulation architectures that replicate human-like decision-making in health crisis contexts, enabling systems to not only forecast disease spread but also adaptively respond with optimal strategies. His novel work in spatiotemporal forecasting for urban epidemics (IEEE ISI 2025) and cognitive frameworks for crisis modeling (Frontiers of Engineering Management) positions him as a forward-thinking researcher in AI for social good. His contributions are pioneering the use of AI to enhance epidemiological intelligence and resilience against future pandemics—an area of urgent global need.

📚 Publication Top Notes

  1. Agent-Based Modeling of Epidemics: Approaches, Applications, and Future Directions
    Technologies, 2025, 13, 272.
    This paper reviews the current methodologies and advancements in agent-based modeling (ABM) for epidemics. Dr. Zhang explores how ABMs simulate human behaviors and interactions to better understand disease spread and the effectiveness of policy interventions.

  2. Large Language Models: Technology, Intelligence, and Thought 
    Frontiers of Engineering Management
    Co-authored with Z. Cao and D. Zeng, this paper examines the philosophical and functional implications of large language models (LLMs) in understanding intelligence and cognition, particularly in the context of public service applications.

  3. LLM-Driven Spatiotemporal Forecasting of Urban Infectious Diseases
    IEEE ISI 2025 Conference
    A real-world case study on Haidian District, this work presents a cutting-edge LLM-integrated system for forecasting infection patterns, enabling early interventions based on data-driven spatial and temporal analysis.

  4. ShadowPainter: Robotic Painting via Active Learning
    Journal of Intelligent & Robotic Systems, 2022, 105(3), 61
    This research introduces an AI-powered robotic system capable of learning artistic techniques through visual replication. While outside public health, it showcases Dr. Zhang’s skills in human-like machine learning.

  5. Novel Multi-Configuration Elastic Actuator
    Advanced Intelligent Systems, 2024, 6(10): 2400079
    This paper introduces an elastic actuator capable of energy modulation, relevant for dynamic robotic systems. It highlights Dr. Zhang’s prior contributions in robotics and mechanical innovation.

Conclusion 

Dr. Xiangyu Zhang presents a strong and promising research portfolio marked by high-impact publications, innovative interdisciplinary work, and societal relevance in AI-driven public health crisis management. While still early in his career, his contributions clearly demonstrate leadership potential and research excellence, especially in emerging fields.