Peilin Shao | AI and Automation in Architecture | Young Researcher Award

Assist. Prof. Dr. Peilin Shao | AI and Automation in Architecture | Young Researcher Award

Lecturer | Shanxi Datong University | China

Assist. Prof. Dr. Peilin Shao is a Lecturer at Shanxi Datong University specializing in intelligent manufacturing, with academic training in industrial and manufacturing systems engineering as well as mechanical design, manufacturing, and automation. He has been actively involved in advanced research on assembly process modeling, knowledge graph construction, and AI-driven inference, contributing to projects that integrate large language models with manufacturing knowledge systems and supporting intelligent decision-making in complex engineering processes. His work encompasses assembly deviation analysis, process knowledge graph frameworks, and intelligent question-answering methods, with publications in reputable journals such as the Proceedings of the Institution of Mechanical Engineers, Applied Sciences, and the International Journal of Advanced Manufacturing Technology, alongside conference contributions in intelligent networked systems. Dr. Shao has demonstrated research leadership through collaborative projects and scholarly contributions that advance intelligent manufacturing. His research impact includes 8 citations, 5 publications, and an h-index of 1.

Profiles: Scopus | ORCID

Featured Publications

1. Qiao L., Shao P., Zhao H., Huang Z., An assembly deviation calculation method based on surface deviation modeling for circumferential grinding plane. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 2021.

2. Shao P., Huang Z., Qiao L., A novel assembly knowledge graph construction framework enhanced by large language model. Int. J. Adv. Manuf. Technol., 2025, Accepted.

Dr. Peilin Shao’s work advances intelligent manufacturing by integrating large language models with assembly process knowledge, enabling smarter, data-driven engineering decisions. His vision is to accelerate industry transformation through AI-enabled knowledge engineering that fosters sustainable, high-precision, and globally competitive manufacturing practices.

Ramazan Yasar | AI and Automation in Architecture | Pioneer Researcher Award

Assoc. Prof. Dr. Ramazan Yasar | AI and Automation in Architecture | Pioneer Researcher Award

Lecturer | Ankara University | Turkey

Assoc. Prof. Dr. Ramazan Yasar is a faculty member in the Department of Artificial Intelligence and Data Engineering at Ankara University, specializing in artificial intelligence, cryptography, algorithms, graph theory, big data technologies, machine learning, neutrosophic and fuzzy logic systems, data science, and natural language processing. He has served in progressive academic roles, including long-term instructional and research positions, and has contributed to institutional development through editorial leadership as Managing Editor of the Hacettepe Journal of Mathematics and Statistics. His work spans advanced mathematical structures, module theory, algebraic systems, and computational intelligence, reflected in numerous peer-reviewed publications in respected international journals. He has collaborated on projects exploring generalized extending conditions, exact submodules, annihilator conditions, rough groups, and intuitionistic fuzzy group-based algebraic models, demonstrating sustained contributions to theoretical mathematics and emerging intelligent technologies. His academic journey includes recognitions, editorial responsibilities, professional memberships, and active participation in international research platforms, supporting his commitment to advancing interdisciplinary scholarship. His research impact includes 23 citations, 11 publications, and an h-index of 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Yasar R., Tercan A., When some complement of an exact submodule is a direct summand. Commun. Algebra, 2021, 49(10), 4304–4312.

2. Yasar R., C11-modules via left exact preradicals. Turk. J. Math., 2021, 45(4), 1757–1766.

3. Tercan A., Yasar R., Yücel C.C., Goldie extending property on the class of exact submodules. Commun. Algebra, 2022, 50(4), 1363–1371.

4. Tercan A., Yasar R., Weak FI-extending modules with ACC or DCC on essential submodules. Kyungpook Math. J., 2021, 61(2), 239–248.

5. Birkenmeier G.F., Kilic N., Mutlu F.T., Tastan E., Tercan A., Yasar R., Connections between Baer annihilator conditions and extending conditions for nearrings and rings. J. Algebra Appl., 2024, 2650050.

Ramazan Yasar’s research advances the theoretical foundations of algebra and intelligent systems, strengthening the bridge between mathematical structures and modern computational technologies. His contributions support the development of more reliable, explainable, and secure AI frameworks, offering long-term value to scientific innovation and emerging digital industries. Through sustained scholarly impact, he contributes to a global ecosystem that depends on rigorous mathematical reasoning for next-generation technological progress.