Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

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Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
If yes, we will proceed. If there’s any change or subtitle, please specify.

Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
For example:

  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
    etc.


Chun Yen Chang | Education | Best Researcher Award

Prof. Dr. Chun Yen Chang | Education | Best Researcher Award

National Taiwan Normal University, Taiwan

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🎓 Early Academic Pursuits

Dr. Chun Yen Chang’s academic journey began with a strong foundation in Earth Science, earning his Bachelor of Science degree from National Taiwan Normal University (NTNU). He then pursued a Master of Education in Science Education at The University of Texas at Austin, where he delved deeper into the integration of problem-solving strategies into educational curricula. His rigorous academic endeavors culminated in a Ph.D. in Science Education, also from The University of Texas at Austin, where he researched the impact of problem-solving-based instructional models on the academic performance and conceptual understanding of 9th-grade earth science students in Taiwan. His scholarly excellence is reflected in his high GPAs throughout his studies, solidifying his commitment to education and research.

💼 Professional Endeavors

Dr. Chang’s career is marked by numerous prestigious positions, reflecting his deep influence in the fields of science education and earth sciences. He has been a Professor at NTNU since 2008, a role in which he has contributed significantly to the academic development of his students and the advancement of science education. As the Principal Investigator at the Institute for Research Excellence in Learning Sciences, he is at the forefront of research dedicated to enhancing learning experiences. Additionally, Dr. Chang holds editorial roles in numerous academic journals, including serving as Editor-in-Chief for the Eurasia Journal of Mathematics, Science, and Technology Education and European Journal of Mathematics and Science Education. His global influence extends to advisory and board roles for prominent organizations and conferences, particularly in Asia, Europe, and the USA.

🔬 Contributions and Research Focus

Dr. Chang's primary research focus lies at the intersection of science education, technology-enhanced learning, and instructional design. His work emphasizes problem-solving strategies in educational frameworks, particularly within the context of earth sciences. He has developed innovative educational technologies, including an interactive simulated-globe display system, which exemplifies his dedication to making science education more engaging and accessible. His patents, such as those for computer-aided educational table games and smart clothing-based social networking systems, demonstrate his drive to combine educational theories with cutting-edge technology.

🌍 Impact and Influence

Dr. Chang’s academic influence is widespread, particularly through his editorial leadership and his groundbreaking contributions to science education. His editorial roles in multiple journals and his leadership in developing global conferences reflect his impact on shaping future educational landscapes. His research is frequently cited by peers, signaling the substantial contribution he has made to advancing science education methodologies. Dr. Chang’s National Science and Technology Council Outstanding Research Awards (2003, 2009, 2012) and recognition in Marquis Who’s Who publications underscore his significant impact on the global academic community.

📑 Academic Cites and Recognition

Dr. Chang's work has earned substantial recognition, including being cited extensively in academic journals and international conferences. His groundbreaking research in problem-solving-based instructional models and technology-enhanced education has garnered attention from both academia and industry. Moreover, his work was honored with the 57th Academic Award of the Ministry of Education (2013) and his recognition in the “Science 50” Achievements by the National Science and Technology Council showcases the value placed on his contributions to science education.

💻 Technical Skills

Dr. Chang’s technical expertise extends across various domains related to educational technology, instructional design, and scientific modeling. His skills in patent development, interactive systems design, and educational game creation have allowed him to innovate solutions that enhance learning experiences. His technical contributions include the development of computer-aided educational tools, which merge interactive technology with curriculum design to offer immersive educational experiences.

👩‍🏫 Teaching Experience

Dr. Chang’s teaching experience spans over two decades, with a focus on Earth Science and Science Education. As a Professor at NTNU, he has taught undergraduate and graduate students, shaping the next generation of science educators and researchers. His courses in Science Education and Earth Sciences are highly regarded, and his commitment to research-based teaching has fostered a learning environment that integrates cutting-edge educational technology. His visiting professorships at institutions like the Université Paris 8 and The Education University of Hong Kong have expanded his teaching and research influence globally.

🌟 Legacy and Future Contributions

Dr. Chun Yen Chang’s legacy lies in his transformative impact on science education, not only in Taiwan but also globally. His work has reshaped how educators approach science learning, especially through the integration of problem-solving frameworks and interactive educational technologies. As he continues his work as a principal investigator and an editorial leader, his future contributions are poised to further influence the development of STEM education, innovative pedagogies, and the use of technology in education. Through his work, Dr. Chang is laying the groundwork for future advancements in how science is taught and learned worldwide.

📚 Selected Publications

  • Title: The impact of the flipped classroom on mathematics concept learning in high school
    Authors: KK Bhagat, CN Chang, CY Chang
    Journal: Journal of Educational Technology & Society
    Year: 2016
    Cited by: 608

  • Title: Trends of science education research: An automatic content analysis
    Authors: YH Chang, CY Chang, YH Tseng
    Journal: Journal of Science Education and Technology
    Year: 2010
    Cited by: 404

  • Title: Evidence of STEM enactment effectiveness in Asian student learning outcomes
    Authors: B Wahono, PL Lin, CY Chang
    Journal: International Journal of STEM Education
    Year: 2020
    Cited by: 391

  • Title: Comparison of Taiwan science students' outcomes with inquiry-group versus traditional instruction
    Authors: CY Chang, SL Mao
    Journal: The Journal of Educational Research
    Year: 1999
    Cited by: 290

  • Title: A cost-effective interactive 3D virtual reality system applied to military live firing training
    Authors: KK Bhagat, WK Liou, CY Chang
    Journal: Virtual Reality
    Year: 2016
    Cited by: 273

 

Prof. Dr. Antonio Rescifina | Chemistry | Best Researcher Award

Prof. Dr. Antonio Rescifina | Chemistry | Best Researcher Award

University of Catania, Italy.

Prof. Dr. Antonio Rescifina, born on December 23, 1964, in Messina, Italy, is a distinguished researcher and professor in Organic Chemistry. He currently serves as a Full Professor in the Department of Pharmaceutical Sciences at the University of Catania, where he has been a member of the faculty since 1996. His research focuses on the synthesis of organic compounds with applications in pharmaceuticals, environmental chemistry, and materials science.

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Education 🎓

Prof. Rescifina holds a degree in Chemistry and Pharmaceutical Technology from the University of Messina (1989), with honors. He later obtained another degree in Pharmacy (1991) and completed a Ph.D. in Chemical Sciences with a specialization in Organic Chemistry from the University of Catania (1995).

Experience 💼

Prof. Rescifina has had an extensive career in research and teaching. He worked as a researcher at the University of Catania and the University of Messina before becoming a professor. Over the years, he has contributed significantly to scientific advancements in organic chemistry, working on numerous projects funded by both national and international organizations. His roles have included being a scientific coordinator of various research projects.

Research Interests 🔬

Organic Chemistry and Pharmaceutical Applications
Dr. Yucra's work primarily focuses on the synthesis of novel chemical compounds for pharmaceutical and industrial applications. His research aims to create more efficient, cost-effective, and sustainable solutions to current challenges in these sectors.

Carbon Dioxide Decarbonization & Valorization
He is committed to developing innovative carbon dioxide decarbonization and valorization processes, which aim to transform CO₂ from a harmful greenhouse gas into valuable industrial products, contributing to environmental sustainability.

Green Chemistry
Dr. Yucra emphasizes green chemistry principles, working on solutions that minimize environmental impact, enhance energy efficiency, and reduce the use of toxic chemicals, all while maintaining effective chemical processes.

Pharmaceutical Nanostructures
In his work on pharmaceutical nanostructures, he explores the development of nanoscale materials that can be used for targeted drug delivery, improving the effectiveness of treatments while reducing side effects.

Supramolecular Catalysis
His interest in supramolecular catalysis focuses on creating catalysts that work through non-covalent interactions, leading to more efficient and selective chemical reactions, with potential applications in pharmaceuticals and green chemistry.

Sustainable Chemistry Materials
Finally, Dr. Yucra is involved in the design and development of innovative materials for sustainable chemistry, aiming to create alternatives to traditional chemical processes that are more sustainable, eco-friendly, and economically viable.

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Awards 🏆

Prof. Rescifina's work has earned him national recognition, including the prestigious Abilitazione Scientifica Nazionale (National Scientific Qualification) for Full Professor in 2018.

His research contributions have been acknowledged in various funded projects and prestigious conferences.

Selected Publications 📚

Designing a Monolithic Photo-Fenton Catalyst Using a Fungal Hydroxypyrone Metabolic Derivative
Materials Today Chemistry
March 2025 | Journal article
Contributors: Elisabetta Grazia Tomarchio, Valentina Giglio, Chiara Zagni, Sabrina Carola Carroccio, Vincenzo Paratore, Guglielmo Guido Condorelli, Giuseppe Floresta, Sandro Dattilo, Antonio Rescifina.

Efficient Green Solvent-Free CO2/Epoxide Cycloaddition Catalyzed by a β-Cyclodextrin-Imidazolium-Based Ionic Liquid
Journal of Industrial and Engineering Chemistry
March 2025 | Journal article
Contributors: Elisabetta Grazia Tomarchio, Chiara Zagni, Rita Turnaturi, Sandro Dattilo, Vincenzo Patamia, Giuseppe Floresta, Sabrina Carola Carroccio, Tommaso Mecca, Antonio Rescifina.

A Full Carbon-Based Thermoplastic Photocatalyst for Organic Pollutants Abatement: An Experimental and Computational Study
FlatChem
January 2025 | Journal article
Contributors: Lidia Mezzina, Angelo Nicosia, Vincenzo Patamia, Antonio Rescifina, Luisa D’Urso, Vincenzo Paratore, Placido Giuseppe Mineo.

Enhancing HDAC Inhibitor Screening: Addressing Zinc Parameterization and Ligand Protonation in Docking Studies
International Journal of Molecular Sciences
January 20, 2025 | Journal article
Contributors: Rocco Buccheri, Alessandro Coco, Lorella Pasquinucci, Emanuele Amata, Agostino Marrazzo, Antonio Rescifina.

Bio-Based Palladium Catalyst in Cryogel for Cross-Coupling Reactions
Materials Chemistry Frontiers
2024 | Journal article
Contributors: Elisabetta Grazia Tomarchio, Chiara Zagni, Vincenzo Paratore, Guglielmo Guido Condorelli, Sabrina Carola Carroccio, Antonio Rescifina.