Dr. Fang-Rong Hsu 🎓, a distinguished expert in bioinformatics, AI, and medical image processing 🧠🖼️, has made remarkable contributions to interdisciplinary research at the intersection of computer science and healthcare 💻❤️. With a Ph.D. in algorithm design from National Chiao-Tung University and decades of academic leadership 🏫, he has published extensively in top-tier SCIE journals and conferences 🌐📚. His cutting-edge work spans AI-driven diagnostics, vision transformers, and smart health technologies 🤖🧬. As a professor and former director at Feng Chia University, Dr. Hsu has influenced both research and education profoundly 📈👨🏫. Known for impactful real-world applications—from cancer detection to IoT-based safety systems—his research continues to shape the future of intelligent healthcare and data science 🚑📊. Dr. Hsu is a leading force in innovation and scientific excellence 🏅.
Professional Profile
Scopus Profile
ORCID Profile
🎓 Education
Dr. Fang-Rong Hsu earned his Ph.D. in Algorithm Design and Analysis from the Department of Computer Science & Information Engineering at National Chiao-Tung University, Taiwan (1992) 🧠💡. He previously completed his B.S. in Computer Science at the same institution in 1986. His solid academic foundation in theoretical computing laid the groundwork for a multifaceted research career bridging algorithms, AI, and biomedical engineering 📘🖥️. With a deep interest in computational science and problem-solving, his educational journey reflects a strong commitment to both innovation and academic excellence 🎯📚.
🏢 Professional Experience
Dr. Hsu has held multiple prestigious roles across Taiwanese universities 🏫. Currently a Professor in Information Engineering and Computer Science at Feng Chia University, he previously served as Director of the same department (2015–2018) and of the Bioinformatics Research Center (2004–2010) 🧬. His prior appointments include professorships and department chairs at Taichung Healthcare and Providence University, leading initiatives in IT, bioinformatics, and academic administration 🧑🏫📈. His career spans over three decades of leadership, education, and research guidance in computing and biomedical applications 🤝🔍.
🔬 Research Interest
Dr. Hsu’s research interests span bioinformatics, parallel processing, and biomedical image processing 🧬📊🖼️. His work focuses on integrating artificial intelligence into healthcare diagnostics, such as deep learning for cancer detection, medical image classification, and behavior analysis in zebrafish 🧠🧪. He is particularly passionate about explainable AI, computer vision, and AIoT applications in medical and public safety domains 🌐⚕️. His cross-disciplinary approach leverages computing power to address complex biological and clinical challenges, resulting in meaningful innovations that bridge academia and practical medicine 🔁💡.
🏅 Awards and Honors
Dr. Hsu is a respected researcher recognized through numerous SCIE-indexed publications and invited international collaborations 🌍📜. While specific awards are not listed, his consistent authorship in prestigious journals such as IEEE Access, Frontiers in Bioengineering, and Diagnostics underscores his high-impact research reputation 🥇📖. His appointment to leadership roles in multiple institutions also reflects strong peer recognition and institutional trust. His global conference presence and academic service contributions further reinforce his standing as an accomplished scholar and thought leader in computer science and bioinformatics 🌟🧑🔬.
🛠️ Research Skills
Dr. Hsu brings a powerful blend of skills including deep learning model development (CNN, ResNet, U-Net, ViT), biomedical image analysis, algorithm design, data mining, and AI-driven diagnostic systems 🤖🔬. He excels at integrating computer vision with health informatics and is experienced in parallel and embedded system implementation 🖥️⚙️. Skilled in interdisciplinary collaboration and academic writing, he leads high-impact research teams with strategic direction and technical precision. His technical expertise is matched by his ability to innovate across domains—from zebrafish modeling to smart city technologies 🚀📡.
Publications Top Note 📝
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Title: Enhancing Safety with an AI-Empowered Assessment and Monitoring System for BSL-3 Facilities
Authors: Yi-Ling Fan, Ching-Han Hsu, Fang-Rong Hsu, et al.
Year: 2025
Source: Heliyon
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Title: Hybrid Top Features Extraction Model for Detecting X Rumor Events Using an Ensemble Method
Authors: Taukir Alam, Wei Chung Shia, Fang-Rong Hsu, Taimoor Hassan, Pei-Chun Lin, Eric Odle, Junzo Watada
Year: 2025
Source: Journal of Web Engineering
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Title: Coating Process Control in Lithium-Ion Battery Manufacturing Using Cumulative Sum Charts
Authors: Min-Chang Liu, Fang-Rong Hsu, Chua-Huang Huang
Year: 2024
Citations: 1
Source: Production Engineering
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Title: Next-Generation Swimming Pool Drowning Prevention Strategy Integrating AI and IoT Technologies
Authors: Wei-Chun Kao, Yi-Ling Fan, Fang-Rong Hsu, Chien-Yu Shen, Lun-De Liao
Year: 2024
Citations: 3
Source: Heliyon
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Title: Complex Event Recognition and Anomaly Detection with Event Behavior Model
Authors: Min-Chang Liu, Fang-Rong Hsu, Chua-Huang Huang
Year: 2024
Citations: 1
Source: Pattern Analysis and Applications
📌 Conclusion
Dr. Fang-Rong Hsu exemplifies the spirit of research excellence through his deep academic roots, broad interdisciplinary vision, and unwavering dedication to solving real-world challenges 🌐🧠. His contributions to artificial intelligence in healthcare, sustained publication record, and leadership roles make him a standout figure in the scientific community 🏅📚. As a scholar, mentor, and innovator, he continues to influence both present and future generations of researchers in computing, biomedicine, and beyond 🌱🔍. Dr. Hsu is an exemplary candidate for top-tier recognition in research leadership and innovation 🏆🎓.