Assoc. Prof. Dr. Dexin Hu | Artificial Intelligence Awards | Best Researcher Award

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Assoc. Prof. Dr. Dexin Hu | Artificial Intelligence Awards | Best Researcher Award

Assoc. Prof. Dr. Dexin Hu | Tianjin university | China

Assoc. Prof. Dr. Dexin Hu is an accomplished Associate Professor at the School of Education and the Institute of Emerging Engineering Education at Tianjin University. As a distinguished scholar in the field of higher engineering education, he has made remarkable contributions through his extensive research, innovative ideas, and dedication to improving educational practices and policies. Over the years, his work has focused on shaping the future of engineering education, exploring the intersections of education policy, program evaluation, and innovation-driven curriculum design. With more than 120 publications in CSSCI and SSCI-indexed journals and over 1,800 citations, Assoc. Prof. Dr. Dexin Hu is recognized as a leading expert whose research has significantly influenced both academic discourse and policy formulation in the realm of higher education.

Professional Profile

SCOPUS

Summary of Suitability

Assoc. Prof. Dr. Dexin Hu, Associate Professor at the School of Education / Institute of Emerging Engineering Education, Tianjin University, is a highly accomplished scholar with a strong research background in Higher Engineering Education, Education Policy, and Evaluation. Holding a Ph.D. in Management, he has demonstrated sustained academic excellence and significant contributions to advancing the field of education.

Education

Assoc. Prof. Dr. Dexin Hu holds a Doctor of Philosophy (Ph.D.) in Management, equipping him with a strong foundation in policy analysis, organizational dynamics, and education management. His academic journey has been defined by a pursuit of excellence, combining theoretical knowledge with practical applications to improve higher education systems. Through his doctoral research, he developed a deep understanding of institutional governance, quality assurance mechanisms, and strategic policy frameworks that shape the development of modern engineering education worldwide.

Experience

Currently serving as an Associate Professor at Tianjin University, Assoc. Prof. Dr. Dexin Hu brings a wealth of academic and professional expertise to his teaching and research. Over the years, he has contributed significantly to curriculum development, innovative teaching methodologies, and policy-driven reforms in engineering education. His leadership within the Institute of Emerging Engineering Education has helped bridge the gap between traditional teaching methods and emerging interdisciplinary approaches, ensuring that graduates are well-prepared for the demands of a rapidly evolving technological landscape. Beyond teaching, Assoc. Prof. Dr. Dexin Hu has actively engaged in collaborative projects with national and international institutions, enhancing cross-cultural academic exchanges and contributing to global educational development initiatives.

Research Interests

Assoc. Prof. Dr. Dexin Hu research is primarily centered on higher engineering education, education policy, and program evaluation. He explores how engineering education systems can adapt to new industrial and societal needs, integrating innovative technologies, interdisciplinary knowledge, and competency-based learning frameworks. His studies often focus on institutional performance, teaching quality assessment, and the development of educational models that foster creativity, innovation, and problem-solving skills among students. Additionally, his research provides evidence-based insights that influence decision-making processes at both institutional and policy levels, contributing to the advancement of engineering education standards in China and beyond.

Awards

Assoc. Prof. Dr. Dexin Hu has been recognized for his outstanding contributions to educational research and academic development. His achievements include several awards for research excellence, innovative teaching, and impactful publications. These recognitions highlight his role as a thought leader and underscore his commitment to advancing higher education quality and research impact. His active involvement in academic committees and editorial boards further reflects his influence in shaping educational research trends and standards.

Publication Top Notes

Effect of AI-Based Learning on Students’ Computational Thinking Development: Evidence From a Meta-Analysis

Conclusion

Assoc. Prof. Dr. Dexin Hu career reflects a remarkable blend of academic rigor, research innovation, and educational leadership. His contributions have transformed the understanding and practice of higher engineering education, influencing not only academic institutions but also broader policy frameworks. Through his extensive publications, teaching excellence, and collaborative initiatives, he has built a reputation as one of the foremost scholars in his field. His research continues to inspire new approaches to curriculum design, policy evaluation, and institutional governance, ensuring that engineering education remains relevant and responsive to societal and technological needs. With his strong record of scholarly achievements, impactful publications, and dedication to educational reform, Assoc. Prof. Dr. Dexin Hu stands out as a deserving candidate for recognition through the Best Researcher Award.

Dr. Konstantinos Kotsidis | Artificial Intelligence | Best Researcher Award

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Dr. Konstantinos Kotsidis | Artificial Intelligence | Best Researcher Award

Dr. Konstantinos Kotsidis | University of Crete | Greece

Dr. Konstantinos Kotsidis is a dedicated postdoctoral researcher whose work bridges artificial intelligence and education with a strong focus on advancing human-centered pedagogical practices. With a solid academic foundation and extensive professional experience, his contributions have consistently demonstrated a commitment to fostering creativity, critical thinking, and innovation in learning environments. He combines scholarly expertise with practical classroom application, leading to impactful educational reforms, research outputs, and international collaborations. His work continues to inspire and support both learners and educators through the responsible integration of artificial intelligence into teaching and learning.

Professional Profile

ORCID

GOOGLE SCHOLAR

Summary of Suitability

Dr. Konstantinos Kotsidis is a highly promising and impactful researcher whose work at the intersection of Artificial Intelligence and Education positions him as an outstanding candidate for the Best Researcher Award. With a PhD in Education and extensive experience in the integration of AI technologies into primary and early childhood education, he has demonstrated a unique ability to bridge theory and practice. His impressive research record—comprising 19 published books, 14 journal papers, and 7 editorial appointments—reflects both academic depth and international recognition.

Education

His academic journey reflects a clear dedication to the intersection of education and technology. He earned a PhD in Education with a specialization in the integration of artificial intelligence and educational technologies into early childhood and primary education. This advanced research was preceded by a Master’s degree in Innovative Pedagogy, where he deepened his understanding of creative teaching methodologies and modern learning frameworks. His foundation in pedagogy was first established through a Bachelor’s degree in Education, which laid the groundwork for his dual focus on teaching practice and academic research. This blend of qualifications has equipped him with the tools to transform classrooms into spaces that balance theory, research, and innovation.

Experience

Professionally, Dr. Konstantinos Kotsidis has over a decade of experience as both a teacher and teacher trainer. His classroom practice allowed him to refine methods of learner-centered instruction, while his training roles have helped over two hundred educators adopt modern technological tools in teaching. Beyond teaching, he has actively collaborated with national and international research teams to develop and implement frameworks for integrating artificial intelligence into education. His professional engagements include working with primary and early childhood education institutions on designing AI-driven teaching scenarios, as well as participating in joint projects with teacher training organizations to promote innovative, human-centered pedagogy. His combination of theoretical depth and practical application positions him as a thought leader in the application of artificial intelligence in educational contexts.

Research Interests

Dr. Konstantinos Kotsidis primary research interests are situated within human-centered artificial intelligence in education, where he investigates how intelligent systems can meaningfully support teaching and learning without diminishing the human role. Another key area of his work is teacher professional development, with a focus on building confidence and competence in applying AI applications in classrooms. He also engages deeply in research surrounding eLearning and distance learning, seeking to enhance access, personalization, and equity in digital education. Through his contributions, he envisions educational systems where technology empowers rather than replaces human creativity, making teaching more effective, adaptable, and inclusive.

Award

The scope of his contributions and innovations has earned him recognition for excellence in educational research and technology integration. His work on designing comprehensive pedagogical frameworks for human-centered AI in education, leading impactful teacher training programs, and publishing widely in peer-reviewed journals has positioned him as a distinguished candidate for research-focused awards. His achievements highlight not only scholarly significance but also measurable community impact in advancing education.

Publication Top Notes

    • The Challenges of Web 2.0 for Education in Greece: A Review of the Literature
      Year: 2013
      Citations: 25

    • The contribution of training needs assessment to teacher training: Comparative Interpretation of Results
      Year: 2010
      Citations: 11

    • Human–Centered Artificial Intelligence in Education. The critical role of the educational community and the necessity of building a holistic pedagogical framework for the use
      Year: 2024
      Citations: 8

    • Distance Teacher Training in Periods of Emergency (COVID-19 Pandemic)
      Year: 2021
      Citations: 5

    • The pedagogical use of Web 2.0 applications in teacher training, with emphasis on
      Year: 2015
      Citation5

    • Pedagogical Design and Implementation of a Distance Education Program for Teachers: The Use of Web 2.0 in the Modern School with an Emphasis on Collaboration
      Year: 2017
      Citations: 3

Conclusion

Dr. Konstantinos Kotsidis represents an outstanding example of a scholar who effectively merges research and practice to transform educational experiences. His academic achievements, professional service, and research contributions have significantly influenced both local and international educational landscapes. By developing frameworks for human-centered AI use, training hundreds of educators, and publishing widely, he has demonstrated a sustained commitment to shaping the future of education. His work is not only about integrating technology but also about ensuring that its application respects and enhances the human dimensions of teaching and learning. With his innovative vision and practical contributions, he is highly suitable for recognition through a prestigious award nomination in the field of research and education.

Abdultaofeek Abayomi | Machine Learning | Best Researcher Award

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Dr. Abdultaofeek Abayomi | Machine Learning | Best Researcher Award

Researcher at Walter Sisulu University, South Africa

ABDULTAOFEEK ABAYOMI, Ph.D., is a distinguished academic and researcher with a rich career in Information Technology and Computer Science. He holds a Ph.D. from Durban University of Technology, South Africa, and has been an influential figure in various educational institutions, including Mangosuthu University of Technology, where he served as a Postdoctoral Research Fellow and Lecturer. His extensive experience spans roles in teaching, research, and industry, with a specific focus on ICT, machine learning, and telecommunications. Dr. Abayomi’s contributions extend beyond academia, having held positions in major banks and IT firms, where he influenced projects in system analysis, IT infrastructure, and banking operations.

Profile

Orcid

Education

Dr. Abayomi’s academic journey began with a B.Sc. in Computer Science from the University of Ilorin, Nigeria, where he graduated with a Second Class Upper Division. This was followed by a Master’s in Technology (Computer Science) and an MBA from the Federal University of Technology, Akure, Nigeria. He then pursued a Ph.D. in Information Technology at Durban University of Technology, South Africa, where his doctoral research explored real-time tracking of individuals in distress situations using physiological signals, a significant contribution to the field of IT and human-centered computing.

Experience

Dr. Abayomi’s professional career spans teaching, research, and leadership roles in the technology sector. He has lectured and conducted research at various universities, including Durban University of Technology and Mangosuthu University of Technology in South Africa. Additionally, he has worked as a system analyst and instructor for IT certifications such as MCSE and MCSA at JIT Solutions in Akure, Nigeria. His career in the banking sector includes roles as a Profit Centre Manager and ICT System Administrator at United Bank for Africa Plc., where he contributed to improving operational efficiency and implementing IT solutions. Dr. Abayomi has also been involved in research projects aimed at addressing pressing issues in ICT and society, particularly focusing on the intersection of technology and human needs.

Research Interests

Dr. Abayomi’s research interests lie at the convergence of Information Technology, machine learning, and network systems. His work has explored deep learning, cognitive radio networks, spectrum sensing, and software-defined networks. He is particularly interested in the application of artificial intelligence to solve real-world problems, such as dynamic spectrum access and health insurance prediction. Dr. Abayomi’s research aims to improve the way technology interacts with human and environmental factors, making significant contributions to both academic and applied research.

Awards

Dr. Abayomi has received numerous accolades in recognition of his academic and research excellence. He was honored with the Research Award for Most Productive Postdoctoral Research Fellow in 2022 at Mangosuthu University of Technology, South Africa. He has also been an active participant in international conferences, serving as a session chair for various events such as the 22nd International Conference on Hybrid Intelligent Systems in 2022 and the 13th International Conference on Soft Computing and Pattern Recognition in 2021. His contributions to research are further exemplified by his involvement in winning the South African National Research Foundation’s Infrastructure Bridging Funding in 2016.

Publications

Dr. Abayomi’s scholarly work is well-regarded in academic circles, with several impactful publications in peer-reviewed journals. His notable publications include:

Ukpong, U.C., Idowu-Bismark, O., Adetiba, E., Kala, J.R., Owolabi, E., Oshin, O., Abayomi, A., Dare, O.E. (2025). “Deep reinforcement learning agents for dynamic spectrum access in television whitespace cognitive radio networks.” Scientific African, 27, e02523.

Dare, O.E., Okokpujie, K., Adetiba, E., Idowu-Bismark, O., Abayomi, A., Kala, R.J., Owolabi, E., Ukpong, U.C. (2024). “Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping.” IEEE Access, 12, 197632-197644.

Mavundla, K., Thakur, S., Adetiba, E., Abayomi, A. (2024). “Predicting Cross-Selling Health Insurance Products Using Machine-Learning Techniques.” Journal of Computer Information Systems.

Adetiba, E., Uzoatuegwu, P.C., Ifijeh, A.H., Abayomi, A., Obiyemi, O. (2024). “NomadicBTS-2: A Network-in-a-Box with Software-Defined Radio and Web Based App for Multiband Cellular Communication.” International Journal of Computing and Digital Systems, 15(1), 1-16.

Aroba, O.J., Abayomi, A. (2023). “An Implementation of SAP Enterprise Resource Planning – A Case Study of the South African Revenue Services and Taxation Sectors.” Cogent Social Sciences.

These publications reflect his diverse research interests and his significant impact on fields ranging from telecommunications to machine learning and health technology.

Conclusion

Dr. Abayomi’s academic and professional journey is a testament to his dedication to advancing knowledge in Information Technology and its application to solving societal challenges. His work has influenced both the academic community and industry practices, particularly in the areas of cognitive radio networks, machine learning, and ICT solutions for societal development. His numerous accolades and impactful publications underscore his standing as a leading researcher in his field, and his continued contributions promise further advancements in the intersection of technology and human development.