Dongxing Yu | Machine Learning and AI Applications | Research Excellence Award

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Assoc. Prof. Dr. Dongxing Yu | Machine Learning and AI Applications | Research Excellence Award

Sanda University | China

Assoc. Prof. Dr. Dongxing Yu is an interdisciplinary scholar with a Ph.D. in Literature, serving as Associate Professor and Director of the Institute for Sustainable Development in Education at Shanghai Sanda University. Assoc. Prof. Dr. Dongxing Yu holds a Ph.D. from East China Normal University, an M.A. from Shandong Normal University, and a B.A. from Qingdao University. His professional experience spans founding China’s first university Educational Metaverse, leading VR education labs, and holding visiting positions at Harvard, UIUC, Aarhus, and Regina. His research interests include linguistics, AI in education, cognitive science, VR, and language policy, with skills in educational technology design, interdisciplinary research, and academic leadership. Assoc. Prof. Dr. Dongxing Yu has received multiple national awards for teaching innovation and scholarship, concluding a career dedicated to shaping intelligent, sustainable, and immersive futures in education.

Citation Metrics (Scopus)

40
30
20
10
0

Citations
32

Documents
15

h-index
3

Citations

Documents

h-index


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Featured Publications

Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

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Dr. Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

King Faisal University | Saudi Arabia

Dr. Shaymaa E. Sorour is an Assistant Professor of Computer Science specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with a strong focus on educational technologies and intelligent learning systems. She earned her Ph.D. in Computer Science from Kyushu University, Japan (2016), following an M.Sc. in Computer Education and a B.Sc. in Computer Teacher Preparation with honors. Dr. Sorour has extensive academic experience across teaching, research, quality assurance, and academic advising, serving in faculty roles at King Faisal University, Saudi Arabia, and Kafrelsheikh University, Egypt. Her research integrates data mining, learning analytics, student performance prediction, adaptive and intelligent educational systems, and technology-enhanced learning, with publications in leading international journals and conferences. She has actively contributed to global scholarly communities through sustained participation in IEEE, LNCS, and international education and AI venues. Her scholarly impact includes 486 citations, 49 documents, and an h-index of 11, reflecting consistent contributions to AI in education and learning analytics (486 citations by 441 documents). Among her recognitions, she received a Best Paper Award at an international conference. Dr. Sorour’s work continues to bridge advanced computational intelligence with practical, scalable educational innovation, supporting data-driven decision-making and improved learning outcomes worldwide.

Citation Metrics (Scopus)

800
600
400
200
0

Citations
486

Documents
49

h-index
11

Citations

Documents

h-index



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Featured Publications

Naveed Yasin | Entrepreneurship  | Innovative Research Award

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Prof. Dr. Naveed Yasin | Entrepreneurship  | Innovative Research Award

Abu Dhabi School of Management | United Arab Emirates

Dr. Naveed Yasin is a Full Professor of Entrepreneurship and Management whose career spans academic leadership, research, innovation, and global entrepreneurship ecosystem development. He holds a Ph.D. in Cross-National Comparative Entrepreneurship from an AACSB-accredited university and advanced qualifications in higher education, leadership, and AI-enabled entrepreneurship education. With experience as Vice President of Academic Affairs, Executive Dean, Consulting Vice President, and Director of an academic business incubator, he has led institutional transformation, accreditation initiatives, and the creation of entrepreneurial learning ecosystems across the UAE, UK, Europe, and Asia. His research focuses on immigrant entrepreneurship, entrepreneurship education, AI applications in enterprise learning, and entrepreneurial ecosystems, supported by 422 citations across 288 documents, 51 publications, and an h-index of 13. He has published in ABDC A*, ABS 3*, and Scopus Q1 journals and contributed chapters to major publishers such as Palgrave Macmillan and Routledge. His achievements include the UAE & EIE Teaching Excellence Award, a Vice Chancellor’s Award for Outstanding Research Thesis, and multiple international recognitions for innovation in education. As an educator, consultant, mentor, and ecosystem builder, Dr. Yasin continues to champion entrepreneurial leadership, global partnerships, and the advancement of universities as catalysts for economic and societal impact.

Profile : Scopus

Featured Publications

Green strategic intent, artificial intelligence capability and behavioral dynamics of achieving circular economy goals in the public sector (2025). Technological Forecasting and Social Change.

‘Imitate or Incubate?’ Evaluating the Current State of University-Based Business Incubators in the United Arab Emirates (2025). Fiib Business Review.

The Role of Artificial Intelligence in the Development of Learning and Social Innovation Education for Entrepreneurs in Poverty: A Sustainable Entrepreneurial Approach (2025). [Book Chapter]

“Try to keep them dumb and under the thumb”: exploring the “darker side” of psychological contracts in “overly embedded” immigrant enterprises (2025). Employee Relations.

Natural capital productivity as a decoupler of energy and emissions in Sub-Saharan Africa (2025). Energy Economics.

 

Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

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Prof. Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

SUNY Upstate Medical University | United States

Prof. Bardia Rodd is an Associate Professor at SUNY Upstate Medical University and Associate Director of AI Innovation at the AI for Health Equity, Analytics, and Diagnostics (AHEAD) Center. He completed dual PhDs in Electrical & Computer Engineering from Université Laval and in Computer Science from the University of Malaya, alongside a postdoctoral fellowship at the University of Pennsylvania Perelman School of Medicine, focusing on precision medicine, artificial intelligence, and image-guided systems. His academic career spans faculty positions at SUNY Upstate, the University of Maryland, and Laval University, with extensive experience in biocomputational engineering, machine learning, medical image analysis, and data-driven healthcare solutions. He has led numerous grants, including initiatives in AI in education, biomedical research, and curriculum development. Prof. Rodd has supervised multiple graduate and postgraduate students and contributed to open educational resources, advancing accessible teaching in machine learning and bioengineering. He is an active member of professional societies including IEEE, SPIE, and the Association of Pathology Informatics, serving on multiple technical committees and leadership roles. His research interests include AI-driven biomedical imaging, predictive modeling, and health equity applications. Prof. Rodd has authored a textbook on machine learning for data analysis and continues to integrate research, teaching, and innovation to advance computational medicine and AI education.

Profile : Scopus

Featured Publications

Siezen, H., Awasthi, N., Rad, M. S., Ma, L., & Rodd, B. (2025). “Low-rank distribution embedding of dynamic thermographic data for breast cancer detection.” Journal of Thermal Biology, 104303.

Usamentiaga, R., Fidanza, A., Yousefi, B., Iacutone, G., Logroscino, G., & Sfarra, S. (2025). “Advancing knee injury prevention and anomaly detection in rugby players through automated processing of infrared thermography: A novel biothermodynamics approach.” Thermal Science and Engineering Progress, 103782.

Rad, M. S., Huang, J. V., Hosseini, M. M., Choudhary, R., Siezen, H., Akabari, R., et al. (2025). “Deep learning for digital pathology: A critical overview of methodological framework.” Journal of Pathology Informatics, 100514.

Yousefi, B., Khansari, M., Trask, R., Tallon, P., Carino, C., Afrasiyabi, A., Kundra, V., Ma, L., Ren, L., Farahani, K., & Hershman, M. (2025). “Measuring subtle HD data representation and multimodal imaging phenotype embedding for precision medicine.” IEEE Transactions on Instrumentation and Measurement, TIM-24-01821.

Cao, Y., Sutera, P., Mendes, W. S., Yousefi, B., Hrinivich, T., Deek, M., et al. (2024). “Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.” Radiotherapy and Oncology, 199, 110443.

Karima Almazroui | Emerging Research Trends | Best Researcher Award

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Dr. Karima Almazroui | Emerging Research Trends | Best Researcher Award

Mohamed bin Zayed U for Humanities | United Arab Emirates

Dr. Karima Matar Almazroui is a visionary leader and scholar in higher education, policy reform, and institutional transformation, with over two decades of distinguished service in academia and government. She holds a Ph.D. in Language, Reading, and Culture from the University of Arizona, an M.Ed. in Curriculum and Instruction from the University of Arkansas, a Master’s in Strategic Studies and National Security from the UAE National Defense College, and a B.A. in Arabic Language Education from the United Arab Emirates University. Currently serving as Advisor to the Chancellor at Mohamed bin Zayed University for Humanities, she has pioneered initiatives in quality assurance, institutional effectiveness, and international collaboration. Her prior leadership roles include Advisor to the Minister of Education, Executive Director at ADEK, and Chairwoman of Educators Without Borders in Geneva. Dr. Almazroui’s research encompasses educational policy, curriculum development, teacher training, language acquisition, and the integration of technology in learning. Her publication record includes 16 documents, 144 citations by 137 documents, and an h-index of 6, reflecting her academic impact. Recognized with numerous awards—including the Middle East Women Leader Excellence Award and the Sheikh Mohammed bin Rashid Award for Arabic Language Innovation—she continues to advance global education through research, innovation, and transformative leadership.

Profiles: Scopus  | Orcid

Featured Publications

Almazroui, Karima (2025) “Ideological Indoctrination of Children During Crises: Non-Religious Extremism in Authoritarian Regimes”, Child Protection and Practice.

Almazroui, Karima (2025) “Cultural Norms, Digital Infrastructures, and Institutional Trust: Rethinking Bullying Governance in UAE Schools”, International Journal of Innovative Research and Scientific Studies

Almazroui, Karima & Awad, Cecile (2025) “Literacy Under Siege: Evaluating Scalable Interventions for Displaced Children in Conflict-Affected Settings”, International Journal of Innovative Research and Scientific Studies.

Almazroui, Karima (2025) “Enhancing Arabic Literacy Through Data-Driven Assessment: The Impact of Running Records on Reading Evaluation and Instruction”, International Journal of Innovative Research and Scientific Studies.

Al Mazroui, Karima & Alzyoudi, Mohammed (2024) “The Role of ChatGPT in Mitigating Loneliness Among Older Adults: An Exploratory Study”, Online Journal of Communication and Media Technologies.

Ying Jin | Big Data Analytics | Best Researcher Awards

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Ying Jin | Big Data Analytics | Best Researcher Award

Professor, Nanjing University, China

Profile

 Scopus 

Prof. Jin Ying is a Professor at the Department of Computer Science and Technology, Nanjing University, widely recognized for her leadership and contributions in computer education, data mining, citation analysis, big data, and virtual reality applications. Her career bridges teaching, research, and academic service, reflecting a strong commitment to advancing both theoretical knowledge and practical innovations in the field of computer science. She has served in multiple influential academic and professional roles, helping shape the direction of education and technology integration in China.

Education

Prof. Jin began her academic journey in geochemistry and later transitioned into information management and computer science, bringing an interdisciplinary perspective to her work. She earned her Ph.D. in Management with a specialization in data mining and CSSCI research, which laid the foundation for her impactful contributions in citation analysis, big data, and education technology. Her diverse educational background allows her to integrate cross-disciplinary insights into computer science education and applied research.

Experience

Throughout her career at Nanjing University, Prof. Jin has advanced from teaching assistant to lecturer, associate professor, and eventually full professor. She teaches a wide range of courses including computer applications, Visual Basic, Python, and C programming, with her pedagogy focusing on innovation and practical engagement. Beyond the classroom, she serves as Group Lead of Visual Basic and Secretary of the Center of College Computer Test in Jiangsu Province. She is also an active member of the Computer Education Supervisory Committee (MOE, Liberal Arts), Jiangsu Computer Foundation Education Committee, and the Council on East China University Computer Foundation Education. Additionally, she contributes as a judge for the National College Computer Design Competition and as a peer reviewer for CSSCI-indexed journals.

Research Interests

Prof. Jin’s research integrates education and technology, addressing critical issues such as AI-driven talent training models, programming pedagogy reform in the AI era, flipped classroom strategies, big data course design for non-computer majors, and innovations in youth IT education. She has published widely in international journals and conferences, making significant contributions to the fields of data mining, education reform, and computational thinking. Her authored teaching resources, including College Basic Computer Applications and New Visual Basic Programming, are used across universities and contribute to improving computer education nationwide.

Awards

Prof. Jin’s achievements have been recognized through numerous awards and honors. She received the prestigious First Tan Haoqiang Computer Education Fund Outstanding Teacher Award and Nanjing University’s Shilin Teaching Award, reflecting her excellence in teaching and mentorship. She has also earned multiple best paper awards and nominations at international conferences, alongside prizes for guiding student projects in national-level computer design competitions. These recognitions highlight her dual impact as both a researcher and educator.

Featured Publications

  • Jin, Y. (2024). Exploration of K12 Multi-level Information and AI Talent Training Model.

  • Jin, Y. (2024). Exploration on Teaching Content Reform of Programming Course in the Era of AI.

  • Jin, Y. (2024). A survey of research on several problems in the RoboCup3D simulation environment.

  • Jin, Y. (2023). The Role of Science and Technology Innovation Competition in Talent Cultivation and Development.

  • Jin, Y. (2022). An approach for evaluating course acceptance based on Bayesian network. Int. J. of Intelligent Internet of Things Computing.

  • Jin, Y. (2022). Design and Implementation of a Cloud-Native Platform for Financial Big Data Processing Course.

  • Jin, Y. (2022). Hierarchical and Diverse Cultivation of Data Thinking Capability in College Based on New High School Curriculum Standards.

Conclusion

By combining rigorous scholarship, innovative teaching, and impactful leadership, Prof. Jin Ying has significantly advanced computer education reform and promoted the integration of technology with pedagogy. Her interdisciplinary vision and ability to merge data-driven methods with educational practice have influenced generations of students, equipping them with computational skills essential for the digital age. Through her roles in research, teaching, academic committees, and national projects, she continues to shape the landscape of computer science education in China and beyond, fostering a forward-looking environment that bridges research, practice, and innovation.