Prof. Dr. Yin-Fu Huang | Database Systems | Best Researcher Award

Prof. Dr. Yin-Fu Huang | Database Systems | Best Researcher Award

Prof. Dr. Yin-Fu Huang, National Yunlin University of Science and Technology, Taiwan

Prof. Dr. Yin-Fu Huang is a distinguished scholar in Computer Science with a prolific academic and research career spanning over four decades. He earned his BS from National Chiao Tung University and later obtained his MS and PhD from National Tsing Hua University. He began his professional journey as an assistant researcher at the Chung Shan Institute of Science and Technology. Currently, he serves as Professor Emeritus at the Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology. His impactful work spans across database systems, multimedia systems, data mining, mobile computing, and bioinformatics. Prof. Huang’s contributions have significantly advanced applied research in data analytics and computational systems, earning him a respected place in the global research community. 📚💻

🌍 Professional Profile 

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🏆 Suitability for Award

Prof. Dr. Yin-Fu Huang exemplifies the qualities of a Best Researcher Award recipient through his extensive contributions to computer science. His multidisciplinary research in database systems, data mining, mobile computing, and bioinformatics demonstrates both breadth and depth. With decades of academic and applied research experience, his innovations have shaped technological solutions and academic methodologies alike. As a professor, he has mentored countless students and published influential works that continue to guide researchers worldwide. His transition to Professor Emeritus is a testament to his sustained excellence and lifelong dedication. Prof. Huang’s enduring impact, leadership, and passion for innovation make him an outstanding candidate for the Best Researcher Award. 🧠🌟📈

🎓 Education

Prof. Huang earned his Bachelor of Science degree in Computer Science from National Chiao Tung University in 1979. He pursued graduate studies at National Tsing Hua University, where he obtained his Master of Science in Computer Science in 1984, followed by a Ph.D. in Computer Science in 1988. His academic path was marked by strong research training and a foundation in system-level computing, data analysis, and theoretical computer science. This robust educational background laid the groundwork for his successful career in academia and research. His early commitment to technological development and computing methodologies positioned him as a leading mind in computer science and engineering in Taiwan and beyond. 🎓🖥️📘

👨‍🔬 Experience 

Prof. Dr. Huang began his research career at the Chung Shan Institute of Science and Technology (1988–1992) as an Assistant Researcher, contributing to defense and industrial computing systems. He then joined the Department of Computer Science and Information Engineering at National Yunlin University of Science and Technology, where he eventually became a full professor and currently holds the title of Professor Emeritus. Over three decades, he has led numerous research projects, published widely, and played a pivotal role in advancing the department’s academic profile. His leadership, teaching excellence, and project management have fostered technological innovation and capacity-building in database design, mobile systems, and big data analytics. 🏫👨‍🏫💡

🏅 Awards and Honors

Though specific award titles were not listed, Prof. Dr. Huang’s Professor Emeritus status at National Yunlin University is itself a high academic honor, symbolizing his career-long contributions to research and education. His sustained research in cutting-edge fields like data mining, bioinformatics, and mobile computing suggests recognition through national and institutional grants, keynote speaking invitations, and peer-reviewed accolades. His scholarly leadership has also led to mentoring award-winning theses and innovations across multiple generations of students. As a senior figure in the field, Prof. Huang continues to be a guiding influence for scholars in Taiwan and internationally, making his work a beacon for excellence in computer science. 🏅📖🇹🇼

🔬 Research Focus

Prof. Huang’s research encompasses a rich blend of Database Systems, Multimedia Systems, Data Mining, Data Analytics, Mobile Computing, and Bioinformatics. His work focuses on integrating data-intensive techniques with real-time computing environments. He has advanced the use of databases for multimedia and mobile platforms, developed algorithms for knowledge discovery, and applied computational models to biological data. His interdisciplinary approach bridges gaps between hardware-aware design and high-level analytics, with applications in smart technologies and health informatics. Prof. Huang’s forward-thinking vision includes developing robust data infrastructures and scalable mobile solutions that support next-gen computing challenges. His research continues to be relevant in today’s AI-driven and data-centric digital landscape. 📊📱🧬💾

📊 Publication Top Notes

  • Self-adaptive Harmony Search Algorithm for Optimization

    • Citations: 390
    • Year: 2010

  • Fragment Allocation in Distributed Database Design

    • Citations: 162
    • Year: 2001

  • Fake News Detection Using an Ensemble Learning Model Based on Self-adaptive Harmony Search Algorithms

    • Citations: 158
    • Year: 2020

  • Evolutionary-based Feature Selection Approaches with New Criteria for Data Mining: A Case Study of Credit Approval Data

    • Citations: 149
    • Year: 2009

  • Mining Web Logs to Improve Hit Ratios of Prefetching and Caching

    • Citations: 97
    • Year: 2008

 

 

Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

Mr. Bocheng Zhao, Xidian University, China

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, where he leads research in interactive learning, deep reinforcement learning, and multi-objective game confrontation. With over 10 publications in prestigious international journals and conferences, his work showcases significant innovation and expertise in artificial intelligence and machine learning. Mr. Zhao actively contributes to the field through his roles in specialized committees, including the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC. His research interests and professional activities highlight his dedication to advancing AI technology and his influence within the scientific community.

Professional Profile:

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Suitability for the Award

Mr. Bocheng Zhao is a strong contender for the Research for Best Researcher Award due to his significant contributions to the fields of AI and machine learning, particularly in areas that are at the forefront of current technological advancements. His active involvement in professional committees, coupled with his role as an associate professor at a leading institution, further solidifies his position as a leading researcher in his field.

Professional Role and Expertise:

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, indicating a leadership position in a prominent academic institution. His primary research areas include interactive learning, deep reinforcement learning, and multi-objective game confrontation. This expertise aligns well with cutting-edge research topics in artificial intelligence and machine learning.

Research Contributions:

Mr. Zhao has made substantial contributions to his field with over 10 publications in prestigious international journals and conferences. His work in interactive learning and reinforcement learning addresses complex problems and demonstrates a high level of research innovation and technical expertise.

Professional Memberships:

His involvement in specialized committees, such as the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC, highlights his active role in shaping the future of these research areas and his influence in the broader scientific community.

Research Interests:

His research interests in interactive learning, intelligent growth, and related fields reflect a focus on advancing knowledge and technology in significant areas of artificial intelligence. This aligns with the goals of the Research for Best Researcher Award, which seeks to recognize individuals making notable contributions to their fields.

Publication Top Notes:

  • Title: Parame: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
    • Year: 2020
    • Cited by: 60
  • Title: Deep Imitator: Handwriting Calligraphy Imitation via Deep Attention Networks
    • Year: 2020
    • Cited by: 23
  • Title: Pen Tip Motion Prediction for Handwriting Drawing Order Recovery Using Deep Neural Network
    • Year: 2018
    • Cited by: 14
  • Title: Nonrigid Point Matching of Chinese Characters for Robot Writing
    • Year: 2017
    • Cited by: 12
  • Title: Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation with a Weakly Supervised Framework
    • Year: 2022
    • Cited by: 5