Distinguished Professor at National Cheng Kung University, Taiwan
Professor Pei-Yin Chen is a Distinguished Professor at the Department of Computer Science and Information Engineering at National Cheng Kung University (NCKU), Taiwan. With a deep commitment to innovation and academic excellence, he also serves as the Chief Information Officer at NCKU Hospital. Holding a B.S. and Ph.D. from NCKU and an M.S. from Pennsylvania State University, Dr. Chen has dedicated over two decades to advancing research in VLSI/FPGA design, AI-based image processing, embedded systems, and healthcare information systems. His scholarly influence is recognized globally, having been listed among the “World’s Top 2% Scientists” by Stanford University for three consecutive years. With over 140 peer-reviewed publications, five patents, and five authored books, his work reflects a perfect synergy between academic rigor and practical applications. He has led 38 research projects and over 50 industry collaborations with partners like Qualcomm, AUO, and ITRI. His innovations have significantly impacted sectors ranging from medical informatics to intelligent transportation. Known for his dedication to teaching and student mentorship, Dr. Chen has received numerous awards in academic supervision. His contribution extends beyond academia through leadership roles such as Chair of the IEEE Tainan Section (2024–2025), embodying the role of a transformative researcher and technologist.
Professional Profile
Education
Dr. Pei-Yin Chen’s educational journey is distinguished by a strong foundation in electrical engineering and a lifelong commitment to knowledge acquisition. He earned both his Bachelor of Science (B.S.) and Doctor of Philosophy (Ph.D.) degrees from National Cheng Kung University (NCKU), Taiwan, majoring in Electrical Engineering. To broaden his international exposure and technological insight, he pursued and obtained his Master of Science (M.S.) in Electrical Engineering from the Pennsylvania State University, USA. His academic path reflects a rigorous blend of theoretical grounding and practical exploration, with a focus on developing innovative solutions in engineering and computing. The diverse academic environments of Taiwan and the United States enriched his understanding of both Eastern and Western research methodologies, allowing him to integrate global best practices into his scholarly and applied work. Throughout his academic development, Dr. Chen demonstrated an unwavering passion for VLSI/FPGA design and intelligent systems, which later became central to his research pursuits. His formative education laid the groundwork for a remarkable career spanning embedded systems, AI-powered technologies, and digital health. Dr. Chen’s academic background is not only a testament to personal excellence but also a catalyst for the many breakthroughs he has since contributed to academia and industry alike.
Professional Experience
Dr. Pei-Yin Chen has over 20 years of exemplary professional experience as a professor, researcher, and industry collaborator. He currently holds the esteemed position of Distinguished Professor at the Department of Computer Science and Information Engineering, National Cheng Kung University (NCKU), Taiwan. Additionally, he serves as the Chief Information Officer of the NCKU Hospital IT Office, where he leads initiatives that fuse medical care with advanced information systems. Dr. Chen’s professional trajectory includes not only academic leadership but also robust engagement with the industrial sector. He has led 54 consultancy and collaborative projects with globally recognized companies such as AUO, Qualcomm, UMC, and ASML Taiwan. His work spans the design and development of VLSI circuits, FPGA systems, AI image processing modules, and embedded applications. He has also actively contributed to the digital transformation of healthcare through the implementation of AI-enhanced clinical documentation tools. Dr. Chen is deeply involved in interdisciplinary projects with governmental bodies such as the Ministry of Education and ITRI. His career reflects a balance between academic inquiry and practical execution, ensuring real-world impact. As Chair of the IEEE Tainan Section (2024–2025), he continues to mentor scholars and guide regional technological development.
Research Interest
Dr. Pei-Yin Chen’s research interests span across several high-impact and evolving domains in computer and electronic engineering. His core focus lies in VLSI/FPGA circuit design, where he has contributed innovative architectural solutions that are both efficient and scalable. He is also deeply engaged in AI-based image processing, with applications in medical diagnostics, smart surveillance, and industrial automation. Another major area of his work includes the development of embedded systems—from compact hardware to real-time software—supporting everything from IoT devices to automotive applications. Dr. Chen has also pioneered the design of information systems, particularly in healthcare, where his AI-integrated systems have significantly improved documentation workflows and patient data management. His interdisciplinary approach extends to smart healthcare, satellite image analysis, and privacy-aware computing, integrating machine learning, system architecture, and human-centered design. His projects often bridge academia and industry, ensuring that his research not only advances theoretical knowledge but also solves real-world problems. He is particularly interested in how AI and VLSI can be co-optimized to create intelligent, responsive, and energy-efficient computing solutions for both commercial and societal benefit. His research contributions reflect a unique ability to foresee emerging trends and deliver impactful technologies.
Research Skills
Dr. Pei-Yin Chen possesses a diverse and advanced set of research skills that uniquely position him at the intersection of hardware, software, and AI integration. His expertise in VLSI and FPGA-based circuit design enables the development of high-speed, power-efficient digital systems tailored for real-time and high-volume data processing. In the domain of AI-based image processing, Dr. Chen applies deep learning and advanced pattern recognition techniques to develop intelligent visual systems used in medical, industrial, and transportation contexts. He is proficient in embedded system architecture, allowing him to seamlessly integrate sensors, microcontrollers, and software applications into compact and scalable platforms. Dr. Chen also excels in information system development, particularly in healthcare environments, where he has created privacy-preserving and efficiency-enhancing digital tools for clinical documentation. His technical toolkit includes mastery of programming languages (such as Verilog, Python, and C/C++), machine learning frameworks, system simulation tools, and IC layout design software. His strong interdisciplinary research capabilities are reflected in 38 completed/ongoing research projects and 54 industry collaborations. With more than 140 publications, he also demonstrates a high level of scientific communication and peer engagement, regularly serving as a reviewer for top-tier IEEE journals.
Awards and Honors
Dr. Pei-Yin Chen has earned numerous prestigious awards and honors throughout his academic and professional career, reflecting his profound contributions to engineering, education, and interdisciplinary research. He has been featured in the “World’s Top 2% Scientists” (Career-Long Impact) list compiled by Stanford University and Elsevier for three consecutive years, a recognition of his lasting scholarly influence. At National Cheng Kung University (NCKU), he has received multiple teaching and thesis supervision awards, honoring his dedication to student mentorship and academic excellence. Dr. Chen’s impact extends beyond the university through his editorial contributions as a reviewer for respected IEEE Transactions journals, including Image Processing, Vehicular Technology, and Fuzzy Systems. He has secured five patents, authored five books, and led more than 50 joint academic-industry projects, many of which translated into real-world applications. His leadership has been further recognized through his election as Chair of the IEEE Tainan Section (2024–2025), affirming his influence within Taiwan’s engineering community. These honors collectively reflect Dr. Chen’s commitment to bridging innovative research with educational growth and practical deployment, strengthening both academic inquiry and industrial advancement.
Conclusion
In conclusion, Dr. Pei-Yin Chen exemplifies the qualities of an outstanding applied scientist through his extensive academic contributions, interdisciplinary research, and transformative industry collaborations. As a Distinguished Professor and CIO at National Cheng Kung University, he merges academic leadership with impactful technological deployment. His research spans critical fields such as VLSI/FPGA design, AI-based image processing, and embedded systems, and has directly influenced industries including healthcare, transportation, and semiconductors. Dr. Chen’s extensive record—over 140 peer-reviewed publications, five patents, and collaborations with leading firms like AUO, Qualcomm, and ITRI—demonstrates a rare ability to translate innovation into real-world solutions. His inclusion in the “World’s Top 2% Scientists” for consecutive years highlights his enduring scholarly significance. Beyond technical achievements, his leadership as Chair of IEEE Tainan and his commitment to mentoring the next generation underscore a career built on both excellence and service. Dr. Chen is not only a pioneer in research but also a bridge-builder between academia and society. His holistic approach to research, education, and collaboration makes him exceptionally well-suited for the Best Research Scholar Award, aligning with the vision of the Applied Scientist Awards to recognize innovation with meaningful societal impact.
Publications Top Notes
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Title: Low complexity underwater image enhancement based on dark channel prior
Authors: HY Yang, PY Chen, CC Huang, YZ Zhuang, YH Shiau
Year: 2011
Citations: 227
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Title: An efficient edge-preserving algorithm for removal of salt-and-pepper noise
Authors: PY Chen, CY Lien
Year: 2008
Citations: 197
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Title: An efficient hardware implementation of HOG feature extraction for human detection
Authors: PY Chen, CC Huang, CY Lien, YH Tsai
Year: 2013
Citations: 125
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Title: An efficient denoising architecture for removal of impulse noise in images
Authors: CY Lien, CC Huang, PY Chen, YF Lin
Year: 2012
Citations: 114
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Title: Hardware implementation of a fast and efficient haze removal method
Authors: YH Shiau, HY Yang, PY Chen, YZ Chuang
Year: 2013
Citations: 110
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Title: VLSI implementation for one-dimensional multilevel lifting-based wavelet transform
Author: PY Chen
Year: 2004
Citations: 109
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Title: A low-complexity interpolation method for deinterlacing
Authors: PY Chen, YH Lai
Year: 2007
Citations: 91
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Title: The gray prediction search algorithm for block motion estimation
Authors: JM Jou, PY Chen, JM Sun
Year: 1999
Citations: 82
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Title: VLSI implementation of an edge-oriented image scaling processor
Authors: PY Chen, CY Lien, CP Lu
Year: 2009
Citations: 79
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Title: An adaptive fuzzy logic controller: Its VLSI architecture and applications
Authors: JM Jou, PY Chen, SF Yang
Year: 2000
Citations: 75