Nan Zhang | Data Science | Best Researcher Award

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Assist. Prof. Dr. Nan Zhang | Data Science | Best Researcher Award

Department Head at Wuxi Institute of Technology, China

Dr. Nan Zhang 🎓, currently serving as the Head of Department at Wuxi Institute of Technology 🏫, is an accomplished researcher with a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology 🧠. Her expertise spans across pattern recognition, computer vision, and machine learning 🤖. With 9 high-impact journal publications 📚, 18 patents 🔬, and two published books 📘, she has made notable contributions to both theoretical research and applied innovation. Dr. Zhang’s work includes advanced AI applications in medical thermal imaging and exercise prescription optimization for Type 2 diabetes patients 💡💊. Her involvement in 8 research projects and 3 industry collaborations reflects strong academic-industry synergy 🤝. Dr. Zhang exemplifies innovation, leadership, and a commitment to real-world impact, making her a valuable asset to the global research community 🌏.

Professional Profile 

ORCID Profile

🎓 Education

Dr. Nan Zhang earned her Ph.D. in Pattern Recognition and Intelligence System from the esteemed Nanjing University of Science and Technology 🏛️ in 2013. Her academic journey reflects a strong foundation in mathematics, computing, and system intelligence 📐💻. With a passion for innovation and analytical precision, she focused her doctoral research on advanced feature extraction and intelligent algorithm design 🧠. Her educational background has provided her with a solid base to explore diverse AI applications, especially in computer vision and medical technology 💊. This scholarly pursuit laid the groundwork for her prolific career as a researcher, educator, and innovator, enabling her to bridge the gap between theory and real-world applications 🌐.

👩‍🏫 Professional Experience

Currently the Department Head and Associate Professor at the School of Control Engineering, Wuxi Institute of Technology 🏫, Dr. Nan Zhang brings over a decade of academic excellence and research leadership. She has successfully led 8 major research projects and collaborated on 3 industry consultancy initiatives 🧪🤝. Her dual expertise in academic rigor and industrial relevance enables her to train students and researchers to tackle real-world challenges. Under her leadership, the department has expanded its focus on AI integration and technological innovation 🌟. She also contributes actively as a mentor, curriculum designer, and academic reviewer, emphasizing both theory and its practical implementation 💼📘.

🔍 Research Interest

Dr. Zhang’s primary research interests revolve around Pattern Recognition, Computer Vision, and Machine Learning 🤖. Her work focuses on developing algorithms that enable intelligent systems to perceive, interpret, and act on complex data, especially in dynamic environments. Recently, she has explored deep learning applications in medical thermal imaging for diagnostic improvements 🩻 and adaptive exercise prescriptions for diabetic patients 🏃‍♀️💉. Her research bridges the gap between AI theory and practical healthcare technology, aiming to make intelligent systems more precise and accessible. She is passionate about advancing human-centric AI that not only predicts but enhances decision-making across health and industrial sectors 🧬🧑‍⚕️.

🏅 Awards and Honors

With a track record of excellence, Dr. Nan Zhang has been recognized through multiple patents (18 total) 🧾 and journal publications (9 indexed in SCI/Scopus) 📚. Her books (ISBN: 978-7-121-45435-6, 978-620-2-30759-8) showcase her thought leadership in emerging technologies. While not explicitly listed, her portfolio and credentials reflect eligibility for prestigious honors like the Best Researcher Award 🌟. Her contributions in AI-enhanced diagnostics and intelligent system modeling highlight her impact in both academic and applied domains 🧠🔬. These recognitions affirm her continued commitment to innovative, responsible, and impactful science on both national and global platforms 🌍🏆.

🛠️ Research Skills

Dr. Zhang excels in AI algorithm design, feature extraction, deep learning, and image analysis 🔧🧠. She is proficient in various programming and analytical tools used in computer vision and pattern recognition, such as Python, MATLAB, and TensorFlow 💻📊. Her strength lies in bridging theoretical models with functional systems, particularly in biomedical imaging and intelligent diagnostics 🔬🖥️. In addition, she brings expertise in scientific writing, patent drafting, and industry collaboration, enabling her to work effectively across multidisciplinary teams. Her ability to lead and innovate in both solo and collaborative research settings reflects her technical depth and strategic foresight 🔍🌐.

Publications Top Note 📝

  • Title: Medical image inpainting with edge and structure priors
    Authors: Qianna Wang, Yi Chen, Nan Zhang, Yanhui Gu
    Year: 2021
    DOI / Source: 10.1016/j.measurement.2021.110027
    Published in: Measurement (Elsevier)
    Citation Source: Crossref

  • Title: Robust H∞ filtering for Markovian jumping static neural networks with time-varying delays
    Authors: Aodong Zhao, Nan Zhang, Maolong Xi, Jun Sun, Meiyan Dong
    Year: 2020
    DOI / Source: 10.1177/1748302620931340
    Published in: Journal of Algorithms & Computational Technology (SAGE)
    Citation Source: Crossref

  • Title: Feature extraction based on Low-rank affinity matrix for biological recognition
    Authors: Nan Zhang, Yi Chen, Maolong Xi, Fangqin Wang, Yanwen Qu
    Year: 2018
    DOI / Source: 10.1016/j.jocs.2018.06.001
    Published in: Journal of Computational Science (Elsevier)
    Citation Source: Crossref

  • Title: Low-rank representation based discriminative projection for robust feature extraction
    Authors: Nan Zhang, Jian Yang
    Year: 2013
    DOI / Source: 10.1016/j.neucom.2012.12.012
    Published in: Neurocomputing (Elsevier)
    Citation Source: Crossref

📝 Conclusion

Dr. Nan Zhang represents a rare blend of academic brilliance, research depth, and societal relevance 🌟. Her contributions in AI-driven medical imaging, pattern recognition, and intelligent diagnostics highlight a career committed to innovation with impact 🚀. With a clear vision and versatile skillset, she continues to advance next-generation technologies that bridge health and machine intelligence 🧬🤖. As a mentor, department leader, and researcher, Dr. Zhang has cultivated a culture of excellence and curiosity, inspiring the next wave of innovators 🌱. Her dedication, accomplishments, and forward-thinking make her an ideal nominee for prestigious recognitions like the Best Researcher Award 🏅🎓.

Fang-Rong Hsu | Data Science | Best Researcher Award

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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 🎓, 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 📝

  • 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

📌 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 🏆🎓.