Assoc. Prof. Dr. Yujin Liu | Computer Vision and AI | Best Researcher Award

Xidian University | China

Author Profiles

Summary

Liu Yujin, is an associate professor and researcher specializing in novel photodetectors and intelligent imaging methods. with academic training from Wuyi university and Jinan university, and professional roles at Xidian university, he has established a strong foundation in optical engineering.

Early academic pursuits

Liu Yujin’s academic journey began at Wuyi university, where he earned a bachelor’s degree in electronic information engineering. building on this foundation, he pursued a master’s degree in condensed matter physics at jinan university, under the guidance of professor zhao chuanxi. his dedication to research Computer Vision and AI and innovation led him to continue at jinan university for his ph.d. in optical engineering, supervised by professor mai wenjie, which he successfully completed.

Professional endeavors

After completing his doctorate, Liu joined the guangzhou research institute of Xidian university as a lecturer. He advanced his career by taking up a postdoctoral fellowship at the school of electronic science and Computer Vision and AI technology, xidian university. his dual roles highlight his growing influence as both a researcher and educator in the field of optical and electronic sciences.

Contributions and research focus

Liu’s research interests lie in novel photodetectors and intelligent imaging methods, areas that bridge optical engineering, materials science, and advanced electronics. his work focuses on developing next-generation photodetection Computer Vision and AI technologies and exploring intelligent imaging approaches with applications in sensing, communication, and machine vision. through his academic efforts, he aims to contribute to innovations that improve detection sensitivity, imaging precision, and device performance.

Impact and influence

As an associate professor and early-career researcher, Liu has already established a promising trajectory in optical engineering and imaging sciences. his contributions to the study of photodetectors and intelligent imaging are poised to Computer Vision and AI influence both theoretical development and practical applications in modern technology, particularly in fields such as smart sensors, biomedical imaging, and artificial intelligence-assisted optical systems.

Academic cites

Liu’s academic output reflects his growing engagement with the Computer Vision and AI scientific community. his publications and postdoctoral research contribute to a body of knowledge that strengthens collaboration across photonics, electronics, and materials science.

Legacy and future contributions

Looking ahead, Liu Yujin is expected to expand his influence in the development of novel photodetectors and intelligent imaging methods. his ongoing postdoctoral research at Xidian university positions him to play a Computer Vision and AI vital role in advancing optical technologies. as he continues his career, his legacy will be defined by fostering innovative solutions that connect fundamental research with real-world applications.

Publications

Title: Atomic‐Layer Deposition‐Assisted Double‐Side Interfacial Engineering for High‐Performance Flexible and Stable CsPbBr3 Perovskite Photodetectors
Authors: G. Cen, Y. Liu, C. Zhao, G. Wang, Y. Fu, G. Yan, Y. Yuan, C. Su, Z. Zhao, W. Mai
Journal: Small
Publication Year: 2019

Title: Visualized UV Photodetectors Based on Prussian Blue/TiO2 for Smart Irradiation Monitoring Application
Authors: M. Qiu, P. Sun, Y. Liu, Q. Huang, C. Zhao, Z. Li, W. Mai
Journal: Advanced Materials Technologies
Publication Year: 2018

Title: Perovskite-based color camera inspired by human visual cells
Authors: Y. Liu, Z. Ji, G. Cen, H. Sun, H. Wang, C. Zhao, Z.L. Wang, W. Mai
Journal: Light: Science & Applications
Publication Year: 2023

Title: Reducing current fluctuation of Cs3Bi2Br9 perovskite photodetectors for diffuse reflection imaging with wide dynamic range
Authors: Z. Ji, Y. Liu, W. Li, C. Zhao, W. Mai
Journal: Science Bulletin
Publication Year: 2020

Title: All-inorganic lead-free NiOx/Cs3Bi2Br9 perovskite heterojunction photodetectors for ultraviolet multispectral imaging
Authors: Y. Liu, Y. Gao, J. Zhi, R. Huang, W. Li, X. Huang, G. Yan, Z. Ji, W. Mai
Journal: Nano Research
Publication Year: 2022

Conclusion

Through his academic excellence, innovative research, and growing professional responsibilities, Liu is emerging as a significant contributor to optical sciences and advanced imaging technologies. His future work promises to strengthen the integration of photonics and intelligent systems for next-generation applications.

Summary

Yasuyuki Ihara is a versatile researcher at nec solution innovators, ltd., with a strong academic background in mathematics from Nagoya university. his professional journey spans cryptographic systems, machine learning, image recognition, and the integration of quantum computing into real-world applications. notable contributions include a cyber-physical system for urban transportation and multiple industry-led projects focused on image analysis, quantum feasibility, and cryptographic evaluation. his citation metrics, though modest, reflect sustained research across diverse fields. keywords like power electronics highlight the interdisciplinary relevance of his work in current and future technology domains.

Early academic pursuits

Yasuyuki Ihara began his academic journey with a strong foundation in mathematics, earning a master’s degree from nagoya university. during this period, his academic curiosity gravitated toward theoretical constructs, particularly in cryptographic systems. his early studies laid a solid groundwork for exploring complex mathematical frameworks which would later influence his contributions in emerging technologies such as Image Recognition quantum computing and power electronics.

Professional endeavors

Ihara currently serves as a researcher at nec solution innovators, ltd., where he has evolved across multiple technical domains in alignment with organizational strategy. initially rooted in cryptography—including hyperelliptic curve cryptography—his career expanded to Image Recognition embrace machine learning and image recognition systems. this shift demonstrated both his versatility and his ability to contribute to dynamic, technology-driven industry sectors, such as smart infrastructure and power electronics systems.

Contributions and research focus

Ihara’s research centers around bridging mathematical theory with real-world applications. a major achievement includes the development of a cyber-physical system for urban transportation empowered by quantum computing, a project combining his Image Recognition expertise in both cryptography and advanced computing. his work continues to push boundaries in integrating quantum algorithms into machine learning pipelines, with potential applications in intelligent transport systems, security protocols, and power electronics optimization.

Impact and influence

His collaborative efforts have resulted in three significant industry-backed projects: field analyst™ image recognition project, quantum computing feasibility study for transport network systems, cryptographic systems evaluation using hyperelliptic curve cryptography. These projects highlight his ability to merge theoretical research with Image Recognition industrial applications, influencing strategic directions at nec and beyond. his adaptability across fields makes him a key contributor in interdisciplinary technological advancement.

Academic cites

Yasuyuki Ihara has built a modest yet meaningful citation record over a 14-year period (2010–2024), reflecting the specialized and evolving nature of his work: google scholar citations, h-index, i10-index. These figures signify sustained scholarly engagement, Image Recognition especially considering his shift across various emerging domains like quantum computing, machine learning, and power electronics.

Legacy and future contributions

Ihara’s intellectual legacy lies in his capacity to navigate the shifting landscapes of research, adapting seamlessly from cryptography to artificial intelligence and quantum systems. moving forward, his work is expected to contribute significantly to the convergence of computational theory and applied technologies, especially in areas like quantum-enhanced transport and scalable image recognition systems. by combining deep mathematical insight with Image Recognition cutting-edge technologies, ihara is poised to shape the future of secure and intelligent systems across industries.

Conclusion

Yasuyuki Ihara exemplifies a forward-thinking researcher whose foundation in mathematics supports impactful contributions in emerging technologies. his ability to adapt and innovate across domains—especially in areas like quantum computing, computer vision algorithms, AI-driven pattern analysis and power electronics—positions him as a valuable contributor to both academic and industrial advancements. his future work is expected to bridge theoretical innovation with practical applications that shape smarter, more secure digital infrastructures.