Fang-Rong Hsu | Data Science | Best Researcher Award

Prof. Fang-Rong Hsu | Data Science | Best Researcher Award

Professor at Department of Information Engineering and Computer Science/Feng Chia University, Taiwan

Dr. Fang-Rong Hsu πŸŽ“, a distinguished expert in bioinformatics, AI, and medical image processing πŸ§ πŸ–ΌοΈ, has made remarkable contributions to interdisciplinary research at the intersection of computer science and healthcare πŸ’»β€οΈ. 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 πŸŒπŸ“š. His cutting-edge work spans AI-driven diagnostics, vision transformers, and smart health technologies πŸ€–πŸ§¬. As a professor and former director at Feng Chia University, Dr. Hsu has influenced both research and education profoundly πŸ“ˆπŸ‘¨β€πŸ«. Known for impactful real-world applicationsβ€”from cancer detection to IoT-based safety systemsβ€”his research continues to shape the future of intelligent healthcare and data science πŸš‘πŸ“Š. Dr. Hsu is a leading force in innovation and scientific excellence πŸ….

Professional ProfileΒ 

Scopus Profile
ORCID Profile

πŸŽ“ 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) πŸ§ πŸ’‘. 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 πŸ“˜πŸ–₯️. With a deep interest in computational science and problem-solving, his educational journey reflects a strong commitment to both innovation and academic excellence πŸŽ―πŸ“š.

🏒 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 πŸ§‘β€πŸ«πŸ“ˆ. His career spans over three decades of leadership, education, and research guidance in computing and biomedical applications πŸ€πŸ”.

πŸ”¬ Research Interest

Dr. Hsu’s research interests span bioinformatics, parallel processing, and biomedical image processing πŸ§¬πŸ“ŠπŸ–ΌοΈ. 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 🧠πŸ§ͺ. He is particularly passionate about explainable AI, computer vision, and AIoT applications in medical and public safety domains πŸŒβš•οΈ. His cross-disciplinary approach leverages computing power to address complex biological and clinical challenges, resulting in meaningful innovations that bridge academia and practical medicine πŸ”πŸ’‘.

πŸ… Awards and Honors

Dr. Hsu is a respected researcher recognized through numerous SCIE-indexed publications and invited international collaborations πŸŒπŸ“œ. 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 πŸ₯‡πŸ“–. 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 πŸŒŸπŸ§‘β€πŸ”¬.

πŸ› οΈ 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 πŸ€–πŸ”¬. He excels at integrating computer vision with health informatics and is experienced in parallel and embedded system implementation πŸ–₯οΈβš™οΈ. 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 domainsβ€”from zebrafish modeling to smart city technologies πŸš€πŸ“‘.

Publications Top Note πŸ“

  • 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

  • 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

  • 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

  • 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

  • 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

πŸ“Œ 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 πŸ…πŸ“š. As a scholar, mentor, and innovator, he continues to influence both present and future generations of researchers in computing, biomedicine, and beyond πŸŒ±πŸ”. Dr. Hsu is an exemplary candidate for top-tier recognition in research leadership and innovation πŸ†πŸŽ“.

Shaohuai Feng | Data Science | Best Researcher Award | 2350

Dr. Shaohuai Feng | Data Science | Best Researcher Award

Student at Feng CGSS, China

Feng Shaohuai is a dedicated researcher focused on sustainable development 🌍 and carbon neutrality 🌱. His work explores how industrial systems, environmental policies, and technological innovation can drive the low-carbon transition, particularly in emerging economies. Through interdisciplinary approaches, Feng bridges academic research with practical solutions to address global climate challenges. His projects, such as sustainable industrial transformation and data-driven environmental policy models, offer actionable frameworks for achieving long-term sustainability goals 🌿. With a commitment to policy implementation, his research informs industry and government decision-making. Feng’s recent publications in top journals reflect his expertise in environmental governance and low-carbon industrial policies. Despite his impressive academic contributions, there is room for expansion in industry partnerships, patents, and editorial roles πŸ“š. Feng is a rising star in his field, bringing impactful, real-world solutions to pressing global issues and advancing the sustainability agenda 🌟.

Professional Profile

Scopus Profile

Education πŸŽ“

Feng Shaohuai’s academic journey is rooted in the study of sustainability and carbon neutrality 🌍. He holds degrees specializing in environmental governance and low-carbon technologies 🌱, which have shaped his expertise in addressing global climate issues. His education provides a deep understanding of sustainable development challenges, particularly in the context of developing economies 🌏. Feng’s studies have focused on green innovation, energy efficiency, and policy frameworks that support the transition to a low-carbon future πŸ”‹. This educational background enables him to merge theory with practice, crafting real-world solutions that align with global climate goals 🌐. Through his learning, Feng has honed interdisciplinary skills to create strategies that foster sustainability across various sectors, positioning him as a key figure in the field of environmental research πŸ”¬.

Professional Experience πŸ’Ό

Feng Shaohuai currently serves as a researcher at Universiti Sains Malaysia, where he focuses on sustainable industrial transformation and energy efficiency βš™οΈ. His professional work bridges the gap between policy, data, and technology, creating practical solutions for sustainable development 🌍. Feng leads projects that develop low-carbon industrial policies and green innovation strategies, aiming to transform industries and promote sustainability in emerging economies 🌱. His role enables him to work with governments, academia, and industry leaders to drive global sustainability agendas. Through his interdisciplinary approach, Feng has made valuable contributions to carbon neutrality and energy efficiency, ensuring that his research delivers real-world impact in the fight against climate change 🌑️.

Research Interest πŸ”¬

Feng Shaohuai’s research is dedicated to carbon neutrality, low-carbon industrial policies, and sustainable development 🌱. He explores the intersection of technological innovation, environmental governance, and market mechanisms to develop solutions that address global sustainability challenges 🌍. His focus is on how data-driven environmental policies can enhance decision-making and improve energy efficiency πŸ”‹. Feng also investigates strategies for sustainable industrial transformation, particularly in developing economies, to foster green innovation and reduce carbon footprints 🌳. His interdisciplinary research combines policy, technology, and industry, aiming to create actionable solutions for global climate goals 🌏. Through this work, Feng seeks to accelerate the transition to a low-carbon future and promote environmental sustainability across sectors 🌐.

Awards and Honors πŸ†

While Feng Shaohuai has yet to receive major formal awards, his research has earned recognition in the field of sustainability and carbon neutrality 🌿. His articles in respected journals like Resources Policy and Energy Strategy Reviews showcase his growing influence in the academic world πŸ“š. Feng’s work on low-carbon industrial transformation and environmental policies has contributed to advancing sustainable development goals 🌏. Though not yet awarded, his published research and interdisciplinary approach are a testament to his expertise and potential for future recognition 🌟. As his work continues to influence the fields of green innovation and sustainable development, Feng is well-positioned to receive accolades for his contributions to the low-carbon transition and global climate solutions 🌱.

Conclusion 🌟

Feng Shaohuai is an emerging leader in sustainability research, focusing on carbon neutrality, green innovation, and low-carbon industrial policies 🌿. His academic background and professional expertise enable him to bridge the gap between policy, data, and technology, driving impactful solutions for global sustainability 🌍. Feng’s research on sustainable industrial transformation and energy efficiency plays a pivotal role in shaping strategies that support carbon neutrality and environmental governance 🌱. Through his interdisciplinary approach, Feng is actively contributing to the global shift toward low-carbon futures 🌏. As he continues to collaborate with governments, industries, and researchers, Feng’s work will accelerate climate goals and contribute to a sustainable and green world 🌳.

Publications Top Notes

Unlocking the potential of natural resources, fintech and fiscal policy for carbon neutrality; evidence from N-11 nations

  • Authors: Shaohuai Feng, Mohd Wira Mohd Shafiei, Theam Foo Ng, Jie Ren

  • Year: November 2024

  • Source: Resources Policy 🌍


The intersection of economic growth and environmental sustainability in China: Pathways to achieving SDG

  • Authors: Shaohuai Feng, Mohd Wira Mohd Shafiei, Theam Foo Ng, Yefeng Jiang

  • Year: September 2024

  • Citations: 9 πŸ“š

  • Source: Energy Strategy Reviews ⚑