Yongyi Yan | Computer Science and Artificial Intelligence | Best Researcher Award

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Prof. Dr. Yongyi Yan | Computer Science and Artificial Intelligence | Best Researcher Award

Henan University of Science and Technology | China

Prof. Dr. Yongyi Yan, Professor of Control Science at Henan University of Science and Technology, has devoted over 15 years to advancing robust control and intelligent optimization for industrial and autonomous systems, demonstrating a rare blend of theoretical excellence and practical impact. He has authored 65 publications, including influential articles in IEEE Transactions on Automation Science and Engineering and SCIENCE CHINA Information Sciences, accumulating 506 citations with an h-index of 10, reflecting his work’s high recognition and application in both academia and industry. Professor Yan has led multiple National Natural Science Foundation of China projects (U1804150, 62073124, 12571584), supervised three PhD graduates, and served as associate editor for Control Engineering Practice. His pioneering contributions include an adaptive robust control algorithm that reduces oscillation by 40% in high-precision machining and an AI-driven optimization framework (patents ZL2021 1 0419210.4 and ZL202110418903.1) that decreases energy consumption by 18% in automotive assembly lines, now adopted by leading manufacturers. His collaborations with Luoyang Sanwu Cable Group have resulted in significant breakthroughs in high-conductivity aluminum stranded wire cable production, integrating multi-machine coordination, dynamic compensation, and laser-guided visual positioning to enhance efficiency, product quality, and equipment control. By bridging fundamental research with industrial applications, Professor Yan has advanced smart manufacturing, autonomous navigation, and process optimization. His sustained innovation, leadership, and scholarly achievements exemplify research excellence, making him highly deserving of the Best Researcher Award for transformative contributions to control science and engineering.

Profile: Scopus

Featured Publications

  • Li, X., Yan, Y., Yue, J., & Zhang, S. (2025, September). Algebraic insight into universal logic functions and implications for logical system modeling.

  • An, Z., Yan, Y., Yue, J., & Li, X. (2025, May). Construction of automaton observer based on matrix semi-tensor product. In Conference proceedings.

  • Wang, X., Yan, Y., Yue, J., & An, Z. (2025, May). Construction and synchronization analysis of state power set automata based on algebraic methods. In Conference proceedings.

  • Dong, C., Yan, Y., Li, H., & Yue, J. (2024, November). Semi-tensor product approach to controllability, reachability, and stabilizability of extended finite state machines.

  • Zhang, S., Yan, Y., Hao, P., & Yue, J. (2024, October). Structural simplification of finite state machines using pruning operators based on semi-tensor product of matrices. In Conference proceedings.

  • Zhang, S., Yan, Y., Wang, C., & Yue, J. (2024, October). Implementation of automaton product networks: From formal language to algebraic models. In Conference proceedings.

  • Yan, Y., Hao, P., Yue, J., & Feng, J. (2024, October). An STP look at logical blocking of finite state machines: Formulation, detection, and search.

  • Yan, Y., Dong, C., Li, H., & Yue, J. (2024, July). Algebraic implementation of extended finite state machine networks.

Sam Clarke | Computer Science | Best Researcher Award

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Mr. Sam Clarke | Computer Science | Best Researcher Award

Canterbury Christ Church University | United Kingdom

Sam Clarke is a dynamic and forward-thinking educator with over eight years of experience as a class teacher across Key Stages 1 and 2, and a key contributor to senior leadership teams. With a career rooted in both classroom practice and strategic educational leadership, Sam has transitioned seamlessly into higher education as a Lecturer of Primary Education at Canterbury Christ Church University. His expertise spans teaching, mentoring, research, and academic innovation, particularly in the realm of artificial intelligence (AI) in education. A passionate advocate for equity and ethical innovation, Sam combines classroom experience with pioneering research, curriculum design, and community outreach. His professional philosophy echoes Nelson Mandela’s powerful belief that “Education is the most powerful weapon to change the world.”

Professional profile👤

ORCID

Strengths for the Awards✨

  1. Innovative Research in AI and Education
    Sam Clarke’s work sits at the intersection of two rapidly evolving fields: education and artificial intelligence. His research addresses critical questions about GenAI’s impact on pedagogy, curriculum design, and interdisciplinary learning. His publication “Education in the Age of GenAI” and his co-edited journal BQIL demonstrate a commitment to pioneering research.

  2. Leadership in Academic Initiatives
    Sam is not just a participant but a leader in several academic and professional settings. As Founding Co-Editor of BQIL, Peer Reviewer for research funding, and Lecturer at CCCU, he has shown initiative and scholarly leadership.

  3. Policy-Relevant Contributions
    His guest lectures at UCL, Cambridge, and the Association of Citizenship Teaching suggest his work resonates beyond academia. He connects research to practice, influencing national discourse on AI in education.

  4. Community Engagement and Equity
    Through outreach in underprivileged schools and staff CPD on AI literacy, Sam applies his research to reduce educational inequities, making a tangible social impact.

  5. Collaborative and Interdisciplinary Work
    Clarke’s collaboration with prestigious institutions like the University of Oxford and his emphasis on interdisciplinary knowledge building demonstrate a wide-ranging and cooperative research ethos.

  6. Strong Publication Record with Open Access & Accessibility
    His commitment to knowledge dissemination is evident in his open-access publications and engagement in practitioner journals, ensuring that research reaches a diverse audience.

🎓 Education

Sam’s educational journey reflects a consistent trajectory of academic excellence and professional growth. He holds a Bachelor of Arts in Education Studies and Geography (First Class, 2014), a Postgraduate Certificate in Education with QTS (Distinction, 2015), and a Master of Arts in Education (Merit, 2024)—all from Canterbury Christ Church University. Most recently, he achieved a University Certificate of Advanced Practice (Distinction, 2025), further cementing his commitment to lifelong learning and pedagogical excellence.

👨‍🏫 Experience

Sam began his teaching career in 2015, serving in various roles including KS1 and KS2 Teacher, Mathematics Lead, and Computing Lead. His leadership capabilities emerged early, culminating in a place on the Senior Leadership Team at Sussex Road Primary School, where he managed appraisals, led curriculum initiatives, and coached newly qualified teachers. From 2017 to 2019, Sam also contributed as a School Improvement Facilitator for the Education Development Trust. Transitioning into higher education in 2024, he now lectures at Canterbury Christ Church University, shaping future educators with research-informed teaching and innovation-driven curriculum design.

🔬 Research Interests On Computer Science

Sam’s primary research interests lie in the ethical and educational implications of Generative AI within primary and higher education settings. He is especially passionate about exploring how AI can foster interdisciplinary learning, democratize access to education, and promote epistemic insight. His involvement with the Professoriate Group on AI and as a board member of the AI Ethics Committee at UCL underscores his commitment to ethical innovation. Sam also co-founded the academic journal Big Questions and Interdisciplinary Learning, promoting complex thinking and boundary-crossing knowledge creation.

🏆 Awards

Sam has not only received academic distinctions across all his university qualifications, but has also been repeatedly entrusted with leadership and mentoring roles that reflect his excellence. His invitation to prestigious conferences and involvement in ethics committees, editorial boards, and university strategic roles stands as a testament to the recognition of his thought leadership within the educational community.

📄 Publications

Sam Clarke has authored and co-authored several impactful publications exploring the intersections of education and AI:

  • Clarke, S. and Billingsley, B. (2024). Education in the Age of GenAI. Cambridge Generative AI in Education Conference Booklet of Abstracts.
    Published in 2024 | Cited by 3 articles

  • Clarke, S. (2024). A General Election and My Classroom in the Age of AI. Teaching Citizenship, Issue 59, pp. 8–9.
    Published in 2024 | Cited by 1 article

  • Clarke, S., Billingsley, B., & Heath, L. (Eds.) (2024). Big Questions and Interdisciplinary Learning. Zenodo.
    Published in 2024 | Cited by 2 articles

  • Clarke, S., Billingsley, B. and O’Leary, S. (2024). Using Generative Artificial Intelligence to Catalyse Further Interdisciplinarity Across Higher Education. Graduate College Working Papers, CCCU. Read paper
    Published in 2024 | Cited by 4 articles

✅ Conclusion

Sam Clarke embodies the ideal fusion of practitioner expertise and academic innovation. His contributions to AI in education—through teaching, research, publication, and community outreach—are both timely and transformative. With a consistent record of academic achievement, leadership, and ethical vision, Sam is poised to continue shaping the future of education at the intersection of pedagogy and technology. His work reflects a profound dedication to empowering educators and learners alike in a rapidly evolving digital world. 🌟

Gokalp Çınarer | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Gokalp Çınarer | Artificial İntelligence | Best Researcher Award

Yozgat Bozok University Computer Engineering Department | Turkey

Dr. Gökalp Çınarer is an Assistant Professor in the Department of Computer Engineering at Yozgat Bozok University. His expertise lies in artificial intelligence, machine learning, image processing, and deep neural networks. Over the years, he has contributed significantly to the academic community with applications of AI in diverse fields, including medicine, agriculture, food technologies, and environmental analysis.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

  • Diverse Research Portfolio: Dr. Çınarer has made significant contributions across multiple domains — medicine, agriculture, food technologies, and environmental analysis — leveraging artificial intelligence and machine learning, showcasing versatility and cross-disciplinary impact.
  • High Research Output: With over 50 publications indexed in SCI-Expanded, SSCI, and Scopus, his research output is impressive, indicating a consistent contribution to advancing knowledge in computer engineering and AI applications.
  • Innovative Work in Medical Imaging: His PhD thesis on brain tumor detection through image processing and classification algorithms reflects a critical application of AI in medical diagnostics, directly contributing to healthcare advancements.
  • Academic Leadership: As Head of the Department of Information Processing and Computer Engineering Software at Yozgat Bozok University, Dr. Çınarer plays a pivotal role in shaping academic programs, guiding research initiatives, and mentoring students.
  • Teaching Excellence: He teaches a broad range of courses, including Machine Learning, Deep Learning, and Artificial Intelligence Applications, fostering the next generation of AI researchers and practitioners.

🎓 Education

Dr. Çınarer earned his PhD in Computer Engineering from Kırıkkale University between 2017 and 2021. His doctoral research focused on “Detection of Brain Tumors with Image Processing Techniques and Analysis with Classification Algorithms.”

💼 Experience

Since 2021, Dr. Çınarer has been serving as the Head of the Department of Information Processing and the Head of the Department of Computer Engineering Software at Yozgat Bozok University. He teaches undergraduate and graduate courses, including Machine Learning, Deep Learning, Python Programming, Algorithm Analysis, and Artificial Intelligence Applications.

🔬 Research Interests On Artificial Intelligence

Dr. Çınarer’s research interests encompass artificial intelligence, machine learning, image processing, and deep neural networks. His work delves into AI applications across various fields such as medicine, agriculture, food technologies, and environmental analysis.

🏆 Awards

Dr. Çınarer has been recognized for his pioneering work in artificial intelligence and its applications across multiple disciplines, earning accolades for his contributions to AI-driven medical analysis and agricultural technologies.

📚 Publications

  • Classification of brain tumors by machine learning algorithms
    Authors: G Çınarer, BG Emiroğlu
    Year: 2019
    Citations: 74

  • Prediction of Glioma Grades Using Deep Learning with Wavelet Radiomic Features
    Authors: G Çınarer, BG Emiroğlu, AH Yurttakal
    Year: 2020
    Citations: 57

  • Öğretmenlerin Teknolojik Araçlarla Eğitime Yönelik Tutumlarının Çeşitli Değişkenlere Göre İncelenmesi Yozgat İli Örneği
    Author: G Çınarer
    Year: 2016
    Citations: 27

  • Classification of hazelnuts according to their quality using deep learning algorithms
    Authors: N Erbaş, G Çınarer, K Kiliç
    Year: 2022
    Citations: 21

  • A comparative study on segmentation and classification in breast mri imaging
    Authors: AH Yurttakal, H Erbay, T İkizceli, S Karacavus, G Çinarer
    Year: 2018
    Citations: 21

  • Brain Tumor Classification Using Deep Neural Network
    Authors: G Çınarer, BG Emiroğlu, RS Arslan, AH Yurttakal
    Year: 2020
    Citations: 16

  • Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector
    Authors: G Çınarer, MK Yeşilyurt, Ü Ağbulut, Z Yılbaşı, K Kılıç
    Year: 2024
    Citations: 11

  • Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference
    Authors: G Çınarer, C Kahraman, S Cebi, SC Onar, B Oztaysi, AC Tolga, IU Sari
    Year: 2021
    Citations: 9

  • Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks
    Authors: AH Yurttakal, H Erbay, G Çınarer, H Baş
    Year: 2021
    Citations: 8

  • A Deep Transfer Learning Framework For The Staging Of Diabetic Retinopathy
    Authors: G Çınarer, K Kılıç, T Parlar
    Year: 2022
    Citations: 6

📄 Conclusion

Dr. Gökalp Çınarer stands at the forefront of AI research, leveraging machine learning and image processing to solve complex problems in medicine, agriculture, and environmental science. His work continues to inspire advancements in interdisciplinary fields and pave the way for future innovations.