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

Published on by Architecture Engineers

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.

Shixun Wu | AI and Automation in Architecture | Best Researcher Award

Published on by Architecture Engineers

Dr. Shixun Wu | AI and Automation in Architecture | Best Researcher Award

Vice Professor | Chongqing Jiaotong University | China

Dr. Shixun Wu, Vice Professor at the College of information Science and Engineering and Vice Dean of the Department of Communication Engineering at Chongqing Jiaotong University, is a specialist in wireless communication, wireless localization, and machine learning. With advanced training in applied mathematics and a doctorate in electrical and computer engineering, he has contributed extensively to intelligent transportation systems, cooperative mobile localization, Wi-Fi fingerprinting, secrecy communication, and RFID identification protocols. His work includes impactful publications in leading journals and collaborative projects that advance high precision positioning, reinforcement learning based communication strategies, and secure wireless systems. Dr. Wu has held key academic and leadership roles that support program development, research coordination, and the cultivation of emerging scholars. His professional recognition includes contributions to competitive research initiatives, involvement in editorial and review activities, and active participation in scholarly communities and technical organizations. His record reflects sustained excellence in advancing communication technologies and intelligent networked systems, positioning him as a distinguished candidate for this award. His research impact includes 380 citations, 38 publications, and an h-index of 11.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Zhang H., Xu K., Huang D., He D., Wu S., Xian G., Hybrid decision-making for intelligent high-speed train operation using boundary constraint and pre-evaluation reinforcement learning. IEEE Trans. Intell. Transp. Syst., 2024, 25(11), 17979-17992.
2. Wu S., Wang S., Xu K., Wang H., Hybrid TOA/AOA cooperative mobile localization in 4G cellular networks. IEIE Trans. Smart Process. Comput., 2013, 2(2), 77-85.
3. Wu S., Zeng X., Zhang M., Cumanan K., Waraiet A., Chu Z., Xu K., LCVAE-CNN: Indoor Wi-Fi Fingerprinting CNN positioning method based on LCVAE. IEEE Internet Things J., 2025, Accepted.
4. Zhang M., Ding X., Tang Y., Wu S., Xu K., Star-RIS assisted secrecy communication with deep reinforcement learning. IEEE Trans. Green Commun. Netw., 2024, Accepted.
5. Yang X., Wu B., Wu S., Liu X., Zhao W.G.W., Time slot detection-based M-ary tree anticollision identification protocol for RFID tags in the Internet of Things. Wirel. Commun. Mob. Comput., 2021, Article ID 6638936.

Dr. Shixun Wu’s research advances precise wireless localization, intelligent communication systems, and machine learning-driven network optimization, strengthening the foundations of next-generation connected technologies. His contributions support safer transportation, more reliable indoor positioning, and secure communication frameworks that benefit both industry and society. He envisions scalable intelligent networks that enhance global digital infrastructure and drive innovation across smart mobility and IoT systems.