Assistant Professor, YZU university Taiwan
Shang-Kuan Chen is a dedicated researcher and academician specializing in computer science, with a robust focus on data hiding, visual cryptography, image sharing, and image retrieval. He received his MS in Applied Mathematics in 1998 and a PhD in Computer Science in 2006 from National Chiao Tung University, Taiwan. Currently serving as an Assistant Professor at the Department of Computer Science and Engineering, Yuan Ze University (since 2023), Dr. Chen is known for blending theoretical insights with practical applications in cybersecurity and intelligent systems. Over the years, he has contributed significantly to high-impact research, publishing extensively in SCI-indexed journals and international conferences. His innovative work on QR code systems, smart infrastructures, and optimization algorithms reflects his interdisciplinary expertise. In addition to his academic contributions, Dr. Chen actively mentors students and engages in collaborative research projects.
Publication Profile
Summary of Suitability for Excellence in Researcher Award – Assist. Prof. Dr. Shang-Kuan Chen
Assist. Prof. Dr. Shang-Kuan Chen is a prolific researcher with impactful contributions in data hiding, visual cryptography, and image sharing. His SCI-indexed publications reflect innovation, interdisciplinary application, and academic rigor. With a commitment to advancing secure image technologies, he exemplifies excellence and originality deserving of the Best Researcher Award.
🎓 Education
Shang-Kuan Chen began his academic journey with a Master of Science degree in Applied Mathematics from National Chiao Tung University, Taiwan, in 1998. Motivated by a passion for algorithms, mathematical models, and computer science, he further pursued and completed a PhD in Computer Science from the same university in 2006. His doctoral studies equipped him with in-depth knowledge in information security, image processing, and computational intelligence. The foundation of applied mathematics laid the groundwork for his advanced research in visual cryptography and optimization methods. His interdisciplinary education has allowed him to merge theoretical mathematical principles with practical computer science solutions. Throughout his educational path, Dr. Chen demonstrated academic excellence and a commitment to solving real-world problems through algorithmic thinking and cryptographic innovation, which continues to inform his research and teaching.
💼 Experience
Dr. Shang-Kuan Chen currently serves as an Assistant Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan, since 2023. With nearly two decades of academic and research experience, Dr. Chen has held various positions in both teaching and research capacities, contributing to topics such as data hiding, visual cryptography, and secure image sharing. His extensive publication record—spanning from 2005 to 2025—shows consistent involvement in SCI and EI-indexed journals and projects involving applied image processing and optimization techniques. Dr. Chen has also contributed to collaborative research efforts involving smart systems and cybersecurity frameworks. His work is often interdisciplinary, bridging areas like embedded systems, mobile information processing, and AI-powered visual technologies. At Yuan Ze University, he not only teaches but also supervises research students, pushing boundaries in secure digital communication and computational image processing.
🏆 Awards & Honors
While specific awards are not explicitly listed, Shang-Kuan Chen’s prolific publication record in prestigious SCI-indexed journals such as Pattern Recognition, Optical Engineering, Symmetry, and Electronics stands as a testament to his scholarly excellence. His works have been recognized in high-impact areas like secure QR code systems, visual secret sharing, and differential evolution algorithms—topics critical to the future of information security and optimization. Publications with impact factors as high as 7.196 (Pattern Recognition) and multiple collaborative projects suggest his research is both influential and widely cited. His role as lead or co-author in numerous interdisciplinary papers and ongoing contributions in electronics and AI research highlight his continuous impact. Furthermore, his consistent scholarly output over nearly two decades, with multiple publications every year, reflects peer recognition and academic respect in the fields of computer vision, applied cryptography, and smart computing systems.
🔬 Research Focus
Shang-Kuan Chen’s research centers around data hiding, visual cryptography, image sharing, QR code systems, and optimization algorithms. He explores advanced methods to securely encode and share visual data, particularly in healthcare, smart infrastructure, and mobile environments. His work on multi-layered QR-code systems enables secure medication administration, while visual secret sharing techniques aim to enhance data privacy and integrity. More recently, Dr. Chen has delved into deep learning and differential evolution algorithms, as reflected in his 2025 publications, to solve complex optimization problems and enable robust AI-driven fingerprint recognition systems. His work bridges the gap between theoretical cryptography and practical systems implementation, targeting real-world applications like smart refrigerators, nuclear scheduling, and autonomous decision-making. Dr. Chen continues to investigate how intelligent algorithms can reinforce secure communication and visual processing, positioning him as a leading contributor to secure AI-based systems and visual information technology.
Conclusion
Dr. Shang-Kuan Chen is a strong candidate for the Excellence in Research Award, given his sustained scholarly output, innovative methodologies, and contributions to image processing, cryptography, and optimization. His ability to evolve with technological advances and publish in recognized journals underlines his merit for recognition. With strategic focus on broader collaboration and outreach, Dr. Chen is poised to make even greater strides in scientific excellence.
📚 Top Publications with Details
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Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems • 2025 • Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu • https://doi.org/10.3390/math13101647
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A Hybrid Deep Learning and Feature Descriptor Approach for Partial Fingerprint Recognition • 2025 • Zhi-Sheng Chen, Chrisantonius, Farchan Hakim Raswa, Shang-Kuan Chen, Chung-I Huang, Kuo-Chen Li, Shih-Lun Chen, Yung-Hui Li, Jia-Ching Wang • https://doi.org/10.3390/electronics14091807
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Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems (working paper) • 2025 • Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu • https://doi.org/10.20944/preprints202504.0563.v1