Assistant Professor, YZU university, Taiwan
Dr. Shang-Kuan Chen is an Assistant Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan. With a solid foundation in applied mathematics and computer science, he specializes in visual cryptography, data hiding, image sharing, and intelligent image retrieval. He earned his MS and PhD from National Chiao Tung University and has contributed significantly to academic literature through numerous SCI-indexed publications. Since joining Yuan Ze University in 2023, he has continued to lead innovative research in intelligent visual systems and optimization algorithms. Dr. Chen is recognized for his methodological creativity and interdisciplinary approach to digital image processing and security.
Profile
Orcid
🎓 Education
Dr. Shang-Kuan Chen received his Master of Science (MS) degree in Applied Mathematics in 1998 from National Chiao Tung University, Taiwan. He continued his academic journey at the same institution and earned a Doctor of Philosophy (PhD) in Computer Science in 2006. His graduate and doctoral studies laid the foundation for his future expertise in visual cryptography, image security, and algorithmic optimization. During his academic training, Dr. Chen developed a strong grasp of both mathematical modeling and computational theory, equipping him with a dual perspective critical to solving complex engineering and data science problems. His educational background uniquely bridges theoretical rigor with real-world application in secure data transmission and artificial intelligence.
💼 Experience
Dr. Chen began his academic career in research and teaching after completing his PhD in Computer Science. In 2023, he joined the Department of Computer Science and Engineering at Yuan Ze University as an Assistant Professor. With over a decade of experience in the fields of image processing, data hiding, and optimization, he has taught and mentored students across graduate and undergraduate levels. Dr. Chen also has extensive experience collaborating on international research publications and has co-authored numerous papers in SCI-indexed journals. His professional journey is characterized by his passion for visual communication technology and secure data systems.
🏆 Awards and Honors
While specific award titles are not listed, Dr. Chen’s scientific contributions speak volumes. His publications in high-impact SCI journals such as Pattern Recognition, Symmetry, Mathematics, and Optical Engineering highlight his standing in the academic community. These peer-reviewed articles, often co-authored with scholars globally, reflect his consistent excellence in research on topics like fingerprint recognition, differential evolution, and visual cryptography. His articles’ acceptance into respected journals is a testament to the quality, innovation, and relevance of his work in computer vision and secure computing.
🔬 Research Focus
Dr. Chen’s research revolves around the intersection of visual cryptography, data hiding, image sharing, and optimization algorithms. He has developed advanced solutions in secure image transmission, fingerprint recognition, and QR code systems. His recent work includes hybrid deep learning models, adaptive evolution algorithms, and privacy-preserving image technologies. Leveraging both mathematical foundations and AI-driven approaches, his work addresses critical challenges in digital security, healthcare informatics, and smart system design. Dr. Chen continues to explore novel ways to enhance image protection, reliability, and efficiency through algorithmic innovation and collaborative research.
🏅 Conclusion
Dr. Shang-Kuan Chen is a strong candidate for the Best Scholar Award, given his deep technical expertise, publication record, and contributions to image security and optimization algorithms. His consistent research output and innovative problem-solving in applied AI and cryptography set him apart. To further solidify his candidacy, greater emphasis on academic leadership, citation metrics, and international recognition would be beneficial. With continued achievements, he is well-positioned for recognition as a leading scholar in his field.
Publication
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Title: Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems
Authors: Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu
Link: https://doi.org/10.3390/math13101647
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Title: A Hybrid Deep Learning and Feature Descriptor Approach for Partial Fingerprint Recognition
Authors: 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
Link: https://doi.org/10.3390/electronics14091807
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Title: Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems (Working Paper)
Authors: Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu
Link: https://doi.org/10.20944/preprints202504.0563.v1