Sheng Xiang | AI | Research Excellence Award

Assoc. Prof. Dr. Sheng Xiang | AI | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Sheng Xiang is an Associate Researcher at Chongqing University, China, specializing in intelligent battery management systems, energy storage analytics, and data-driven prognostics for lithium-ion batteries. His research expertise lies at the intersection of artificial intelligence, machine learning, and electrochemical energy systems, with a particular focus on remaining useful life prediction, state-of-charge estimation, and lightweight deep learning models for real-world battery applications. He has authored 30 peer-reviewed publications, which have collectively received 1,655 citations, reflecting strong international recognition and an h-index of 17. His recent contributions in high-impact journals such as Energy and Journal of Energy Storage demonstrate methodological innovation and practical relevance, especially for electric vehicles and smart energy systems. With an active collaboration network involving 57 co-authors, his work supports interdisciplinary research and global knowledge exchange. The societal impact of his research is evident in its potential to enhance battery safety, efficiency, sustainability, and lifecycle management in next-generation energy technologies.

Citation Metrics (Scopus)

1655
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1655

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30

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17

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Bin Zhang | Artificial Intelligence | Research Excellence Award

Prof. Bin Zhang | Artificial Intelligence | Research Excellence Award

City University of Hong Kong | China

Prof. Bin Zhang is a Professor and senior engineering expert specializing in computer science and intelligent perception, with a strong focus on brain-inspired intelligence, generative models, small object detection, and deep learning–based visual understanding. His research integrates theory and real-world applications in areas such as infrared tiny object detection, intelligent transportation, panoramic vision, spiking neural networks, and natural language processing. He has authored 6 peer-reviewed publications in reputable international journals and conferences, including Sensors and the International Journal of Pattern Recognition and Artificial Intelligence, with his work attracting growing academic citations and visibility. Zhang Bin has led and contributed to multiple nationally recognized innovation initiatives in China and maintains active collaborations with researchers across academia and industry. His research has demonstrated clear social and industrial impact, particularly in smart cities, intelligent sensing, and decision-support systems, advancing practical AI deployment aligned with national and global technological priorities.


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Abhilash Kancharla | Deep Learning | Editorial Board Member

Dr. Abhilash Kancharla | Deep Learning | Editorial Board Member

The University of Tampa | United States

Dr. Abhilash Kancharla is a researcher at the University of Tampa specializing in advanced computing and next-generation digital technologies, with expertise in edge computing, 6G networks, blockchain-based security and privacy, quantum machine learning, neural-inspired algorithms, and computational modeling of nanomaterials. He has published 23 peer-reviewed research articles, which have received 50 citations, and holds an h-index of 4, reflecting consistent academic impact in emerging interdisciplinary fields. His work is particularly notable for integrating intelligent learning models with secure communication architectures for future wireless networks, as well as applying computational intelligence to the analysis of self-healing materials. Through collaborations with 14 co-authors, he actively contributes to international research networks, fostering cross-disciplinary knowledge exchange. The broader social and technological impact of his research supports the development of secure, intelligent, and sustainable digital infrastructures, with relevance to future communication systems, smart technologies, and advanced material design.

Citation Metrics (Scopus)

50
40
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50

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23

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4

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Faten AlQaifi | Artificial Intelligence | Best Researcher Award

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.