Qin Guohui | Chemical Engineering | Best Researcher Award

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Prof. Qin Guohui | Chemical Engineering | Best Researcher Award

professor, College of Chemical Engineering, Qingdao University of Science and Technology, China

Dr. Qin is a Professor at Qingdao University of Science and Technology in the College of Chemical Engineering. With a Ph.D. in Chemical Engineering, her research centers on developing advanced materials for lithium, sodium, and potassium batteries. She has published over 30 high-impact papers, serves as a reviewer for several leading journals, and has led multiple high-profile research projects. Dr. Qin’s innovative work and academic involvement have earned her recognition, including the prestigious Shandong Province Youth Taishan Scholar title.

Professional Profile

ORCID Profile

Education

Dr. Qin completed her B.S. in 2009 at Qilu University of Technology, followed by an M.S. in 2012 from Tianjin University of Technology. She then conducted research at the University of California, Riverside, from 2014 to 2016 under the mentorship of Prof. Yadong Yin. In 2017, Dr. Qin earned her Ph.D. in Chemical Engineering from Tianjin University, where she specialized in advanced materials for energy storage.

Professional Experience

Dr. Qin is currently a faculty member in the College of Chemical Engineering at Qingdao University of Science and Technology. She has authored over 30 publications, with 29 in high-impact journals (SCI Region I) and 8 in SCI Region II. In addition to her research, she serves as a peer reviewer for numerous prestigious journals, including Applied Catalysis B: Environmental, Journal of Power Sources, Electrochimica Acta, and Chemical Engineering Journal. Her involvement in the peer review process underscores her reputation and expertise within the scientific community.

Research Interests

Dr. Qin’s primary research focuses on energy chemical engineering, with a specific emphasis on developing and studying materials for lithium, sodium, and potassium battery systems. Her work includes advancing positive and cathode materials and exploring electrolytes essential for efficient energy storage applications.

Research Projects

Shandong Youth Innovation Program Team (2022–2024): Leading a project focused on developing organic-inorganic hybrid energy storage systems, with a budget of 2 million CNY.

National Natural Science Foundation of China (NSFC) Project (2022–2025): Leading a project on constructing self-healing polyamino acid/hollow black phosphorus composite electrodes for potassium storage (600,000 CNY).

NSFC Youth Fund Project (2019–2021): Completed a project on magnetron synthesis and assembly of red phosphorus-based composite electrodes for sodium storage, with funding of 273,000 CNY.

Representative Publications

Dr. Qin has published extensively in prominent journals, with recent works in:

Angewandte Chemie International Edition (2021, 2023)

Advanced Materials (2023)

Advanced Energy Materials (2023, 2024)

Honors and Research Awards

Dr. Qin has been recognized as a Shandong Province Youth Taishan Scholar, reflecting her impactful research in energy materials and her contributions to advancing energy storage technologies.

Conclusion

 

Publications Top Notes

 

 

 

Fatemeh Aghagoli | Insight Award | Best Researcher Award

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Dr. Fatemeh Aghagoli | Insight Award | Best Researcher Award

Ph.D student at Iran University of Science and Technology, Iran.

Fatemeh Aghagoli is an Iranian researcher and Ph.D. student at Iran University of Science and Technology, focusing on machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She holds a master’s degree in Mathematical Statistics from the same university and a bachelor’s degree in Statistics from the University of Qom, Iran. Fatemeh is proficient in R, MATLAB, SPSS, Python, and Microsoft Office software. Her research includes projects on brain MRI segmentation, tumor detection in mammography images, and entropy-based methods in image segmentation. She is a member of the National Elite Foundation of Iran and has presented her work at international conferences.

Professional Profiles:

Education:

Fatemeh Aghagoli’s educational background includes a Ph.D. program at the Iran University of Science and Technology, where she is studying in the Faculty of Mathematics and Computer Science. She was accepted into the program without a test as a brilliant talent. Additionally, Fatemeh holds a master’s degree in Mathematical Statistics from Iran University of Science and Technology. Her academic journey began with a bachelor’s degree in Statistics from the University of Qom, Iran.

Research Experience:

Fatemeh Aghagoli is a dedicated researcher with a focus on machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She is currently pursuing a Ph.D. at the Iran University of Science and Technology, Faculty of Mathematics and Computer Science, under the supervision of Professor Rahman Farnoosh. Her academic journey began with a bachelor’s degree in Statistics from the University of Qom, Iran, followed by a master’s degree in Mathematical Statistics from Iran University of Science and Technology. Fatemeh’s research has yielded significant contributions, including the development of improved mixtures of factor analyzers based on dynamic co-clustering for the segmentation of brain MRI images. This work was published in Neurocomputing in 2024. She has also devised a novel approach for automatic tumor detection and localization in mammography images using a mixture of factor analyzers based on co-clustering, which was published in Biomedical Signal Processing and Control in 2024. Furthermore, Fatemeh has presented her research on entropy-based nonparametric methods for mammography image segmentation and the use of the k-mean algorithm and mean entropy in MRI images for brain tumor lesion detection at conferences.

Research Interest:

Fatemeh Aghagoli’s research interests include machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She is particularly interested in applying these techniques to improve the analysis and interpretation of medical imaging data, with a focus on areas such as brain MRI segmentation and tumor detection in mammography images. Her work aims to develop innovative solutions that can enhance the diagnosis and treatment of medical conditions.

Skills:

Fatemeh Aghagoli is proficient in a variety of software tools and programming languages, including R, MATLAB, SPSS, Python, and Microsoft Office. Her skills in these areas enable her to effectively analyze data, develop algorithms, and implement solutions in her research.

 

Changqing Xiang | Competitions Award | Best Researcher Award

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Mr. Changqing Xiang | Competitions Award | Best Researcher Award

Competitions Award at Unviersiti Putra Malaysia, China.

Changqing Xiang is a PhD student majoring in physical education at the Department of Sport Studies, Faculty of Educational Studies, UPM. He obtained his Bachelor’s Degree in Dance Performance from Wuhan Sports University in 2015 and his Master’s Degree in Physical Education and Training from the University of Wuhan Sports University. His current research interests focus on sports talent cultivation analysis, particularly in adolescent sports and physical activity. Changqing Xiang was accepted as a member of the European College of Sport Science (ECSS) in 2018. He has presented at several conferences, including the International Sport, Health, and Emerging Technologies Summit Conference in 2021, The 28th Congress of the European College of Sport Science in 2023, and the 2022 Chengdu FISU World Conference.

Professional Profiles:

Education:

Changqing Xiang pursued his Bachelor’s degree in Education at Wuhan Sports University in Wuhan, China, from September 10, 2011, to June 30, 2015. He continued his education at the same institution, completing his Master’s degree in Education from September 18, 2015, to June 30, 2018.

Work Experience:

Changqing Xiang has a diverse work experience that reflects his passion for physical education and sports. Currently pursuing a Ph.D. in Physical Education at the Department of Sport Studies, Faculty of Educational Studies, UPM, he has demonstrated a strong commitment to academic excellence, reflected in his impressive CGPA of 3.75. Changqing Xiang began his academic journey by earning a Bachelor’s Degree in Dance Performance from Wuhan Sports University in 2015. He then furthered his education by completing a Master’s degree in Physical Education and Training at Wuhan Sports University. His professional journey has been marked by a keen interest in sports talent cultivation analysis, particularly focusing on adolescent sports and physical activity. This interest has led him to become a member of the European College of Sport Science (ECSS) in 2018, showcasing his dedication to the field.

Research Interest:

Changqing Xiang’s research interests revolve around sports talent cultivation analysis, with a specific focus on adolescent sports and physical activity. His work aims to enhance understanding and optimize strategies for developing young athletes’ potential and promoting physical fitness among adolescents. He is particularly interested in exploring the various factors that contribute to successful talent development in sports, including physiological, psychological, and social aspects. By examining these factors, Changqing Xiang seeks to identify effective methods for identifying, nurturing, and supporting talented young athletes.

Skills:

Changqing Xiang is a dedicated and skilled researcher with a strong passion for sports talent cultivation and adolescent physical activity. Currently pursuing a PhD in physical education at the Department of Sport Studies, Faculty of Educational Studies, UPM, Changqing holds a Bachelor’s Degree in Dance Performance from Wuhan Sports University and a Master’s Degree in Physical Education and Training from the University of Wuhan Sports University. His academic journey has been marked by excellence, reflected in his impressive CGPA of 3.75.

Publications:

  1. Exploring the multidisciplinary factors affecting sports talent identification
    • Authors: C Xiang, TF Tengku Kamalden
    • Journal: Frontiers in Psychology
    • Citations: 11
    • Year: 2022
  2. Structural analysis of environmental factors of sports talent development
    • Authors: C Xiang, W Dong, TFT Kamalden, N Ismail, H Luo
    • Journal: Current Psychology
    • Citations: 5
    • Year: 2023
  3. The influence of humanistic elements in the mascot “Bing Dwen Dwen” of the Olympic Winter Games Beijing 2022 on Chinese consuming behavior
    • Authors: W Dong, C Xiang, AY Kamaruddin, SKS Ali
    • Journal: Specialusis Ugdymas
    • Citations: 3
    • Year: 2022
  4. The role of sports mega-events in the sustainable development of cities: A systematic review
    • Authors: C Xiang, D Wenting, TFT Kamalden, N Ismail, Z Jie, Y Xiaoming, L Hua
    • Journal: Malaysian Journal of Sport Science and Recreation (MJSSR)
    • Citations: 2
    • Year: 2023
  5. The development path of home fitness among Chinese citizens after COVID-19 pandemic: A perspective of network technology and information dissemination
    • Authors: C Xiang
    • Conference: 2021 International Conference on Information Technology and Contemporary Sports (TCS)
    • Citations: 1
    • Year: 2021
  6. The effectiveness of child and adolescent sports engagement in China: an analysis of China’s results for the 2016–2022 Global Matrix report cards on physical activity
    • Authors: C Xiang, J Zhao, TF Tengku Kamalden, W Dong, H Luo, N Ismail
    • Journal: Humanities and Social Sciences Communications
    • Year: 2023
  7. Can Tai Chi Improve Blood Lipid Levels in Patients with Cardiovascular Diseases? A Systematic Review and Meta-Analysis
    • Authors: M Chao, C Xiang, M Ding, X Yang, TF Tengku Kamalden
    • Journal: Annals of Applied Sport Science
    • Year: 2023
  8. Factors Influencing The Environment Of Sport Talent Development Based On Structural Equation Modeling
    • Authors: C Xiang, TFBT Kamalden, N Ismai
    • Conference: Papers Presented at 2022 3rd Asia Sport Science Conference (ASSC)
    • Year: 2022
  9. SWOT analysis of sports talents training in school physical education curriculum in China
    • Authors: C Xiang, M Chao
    • Journal: Journal of Positive School Psychology
    • Year: 2022

 

 

 

Innovation Excellence Award: Science and Technology

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Introduction of Innovation Excellence Award: Science and Technology

Welcome to the forefront of scientific and technological innovation! The Innovation Excellence Award in Science and Technology is a beacon of recognition for those pushing the boundaries of what's possible. This prestigious award celebrates pioneers who drive advancements in our understanding of the world and its possibilities through groundbreaking research and technological breakthroughs.

About the Award:

The Innovation Excellence Award in Science and Technology is open to professionals and researchers across diverse fields, emphasizing a commitment to excellence in pushing the boundaries of knowledge and application. There are no age restrictions, and eligibility is open to individuals or teams demonstrating exceptional innovation in science and technology.

Qualifications and Publications:

Candidates should possess a proven track record of innovation, demonstrated through impactful publications and contributions to the scientific and technological community. Qualifications may include a Ph.D. or equivalent experience, highlighting a commitment to advancing the frontiers of knowledge.

Evaluation Criteria:

The evaluation process emphasizes the significance, originality, and potential impact of the innovation. Judges will assess the candidate's contributions to scientific and technological progress, considering the quality and influence of their work.

Submission Guidelines:

Submit a comprehensive biography, an abstract outlining the innovation's key aspects, and supporting files that showcase the practical applications and results of the work. Ensure all submissions adhere to the provided guidelines for a fair and thorough evaluation.

Recognition and Community Impact:

The Innovation Excellence Award not only celebrates individual accomplishments but also recognizes the broader impact on the scientific and technological community. Winners become ambassadors for progress, inspiring others to pursue excellence in their endeavors.

Biography, Abstract, and Supporting Files:

Craft a detailed biography showcasing your journey in the field. The abstract should concisely convey the innovation's significance, and supporting files should offer a comprehensive view of the work's methodology, outcomes, and potential applications.

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