Dr. Keyong Hu | artificial intelligence | Best Researcher Award

Dr. Keyong Hu | artificial intelligence | Best Researcher Award

Teacher, Hangzhou Normal University, China

Dr. KeYong Hu is an accomplished academic and researcher specializing in artificial intelligence and new energy technology. He earned his Ph.D. from the Zhejiang University of Technology in 2016 and is currently serving as an Associate Professor at Hangzhou Normal University, within the School of Information Science and Technology. Dr. Hu has contributed significantly to the intersection of AI and energy systems, with numerous publications in international journals, showcasing his expertise in predictive modeling and intelligent optimization.

Publication Profile

ORCID

πŸŽ“ Education Background

Dr. KeYong Hu completed his doctoral studies at the Zhejiang University of Technology, Hangzhou, China, where he received his Ph.D. in 2016. His academic training laid a strong foundation in computational intelligence and energy-related engineering applications.

πŸ’Ό Professional Experience

Dr. Hu holds the position of Associate Professor at Hangzhou Normal University, Hangzhou, Zhejiang, China, affiliated with the School of Information Science and Technology. He has been actively involved in teaching, mentoring, and high-impact research since earning his doctorate.

πŸ† Awards and Honors

While specific awards are not listed, Dr. Hu’s prolific publishing record in top-tier peer-reviewed journals like Mathematics, Heliyon, Sustainability, and Computers and Electrical Engineering underscores his recognition and influence in the fields of AI and energy optimization.

πŸ”¬ Research Focus

Dr. Hu’s research centers on the integration of artificial intelligence with new energy technologies, particularly photovoltaic power forecasting, energy system optimization, and cross-modal data analysis. His innovative use of algorithms such as Copula functions, Transformers, and Dung Beetle Optimization showcases his depth in AI-driven energy analytics.

βœ… Conclusion

Dr. KeYong Hu stands out as a forward-thinking researcher contributing impactful work at the intersection of artificial intelligence and sustainable energy. Through his academic leadership and research contributions, he continues to shape the future of intelligent energy systems in China and beyond. πŸŒπŸ“ˆ

πŸ“š Top PublicationsΒ 

πŸ”— Two-Stage Distributionally Robust Optimal Scheduling for Integrated Energy Systems Considering Uncertainties in Renewable Generation and Loads
Journal: Mathematics | Year: 2025
Cited by: Check on Google Scholar

πŸ”— Short-term Photovoltaic Forecasting Model with Parallel Multi-Channel Optimization Based on Improved Dung Beetle Algorithm
Journal: Heliyon | Year: 2024
Cited by: Check on Google Scholar

πŸ”— Distributed Regional Photovoltaic Power Prediction Based on Stack Integration Algorithm
Journal: Mathematics | Year: 2024
Cited by: Check on Google Scholar

πŸ”— Automatic Depression Prediction via Cross-Modal Attention-Based Multi-Modal Fusion in Social Networks
Journal: Computers and Electrical Engineering | Year: 2024
Cited by: Check on Google Scholar

πŸ”— Short-Term Photovoltaic Power Generation Prediction Based on Copula Function and CNN-CosAttention-Transformer
Journal: Sustainability | Year: 2024
Cited by: Check on Google Scholar

Gia SIRBILADZE | Fuzyt Dynamic Systems | Best Researcher Award

Prof. Gia SIRBILADZE | Fuzyt Dynamic Systems | Best Researcher Award

Prof., Ivane Javakhishvili Tbilisi State University (Georgia), Georgia

🌟 Professor Gia Sirbiladze is a prominent figure in intelligent simulation modeling and decision-making in uncertain environments, with over 40 years of teaching and research experience. Currently, he serves as a Professor of Applied Informatics at the Department of Computer Sciences at Iv. Javakhishvili Tbilisi State University (JTSU) in Georgia. πŸ“˜ As an author and editor of more than 150 papers and two monographs, he has made significant contributions to expert knowledge engineering and fuzzy technologies in decision-support systems. Additionally, Professor Sirbiladze is a member of several international computer science societies, including IEEE, WSEAS, IFSR, and MCDM, and sits on the editorial boards of multiple international journals. 🌐

Publication Profile

ORCID

Education

πŸŽ“ Professor Sirbiladze holds a deep-rooted academic background in computer science and applied informatics, specializing in systems science, fuzzy technologies, and decision-making.

Experience

πŸ“š With over four decades of experience at JTSU, Professor Sirbiladze has shaped research and teaching in applied informatics and computer sciences, especially within intelligent modeling and complex decision-making problems.

Research Interests

πŸ” His research interests span several advanced areas of computer science, including systems science and engineering, fuzzy technologies, decision-support systems, control and filtration of extreme dynamic systems, and fuzzy discrete optimization in management.

Awards

πŸ… Professor Sirbiladze has been recognized for his exceptional contributions to intelligent systems and decision-making, earning honors in his field and serving on editorial boards of international journals.

Publications

“Divergence and Similarity Characteristics for Two Fuzzy Measures Based on Associated Probabilities”
Published in: Axioms – 2024-11-09
DOI: 10.3390/axioms13110776

“Associated Probabilities in Insufficient Expert Data Analysis”
Published in: Mathematics – 2024-02-07
DOI: 10.3390/math12040518

“Possibilistic Simulation-Based Interactive Fuzzy MAGDM Under Discrimination q-Rung Picture Linguistic Information: Application in Educational Programs Efficiency Evaluation”
Published in: Engineering Applications of Artificial Intelligence – 2023-08
DOI: 10.1016/j.engappai.2023.106278

“Associated Probabilities Aggregations in Multistage Investment Decision-Making”
Published in: Kybernetes – 2023-03-24
DOI: 10.1108/K-09-2021-0908

Han-Jui Chang | Mechatronics Engineering | Best Researcher Award

Prof Dr. Han-Jui Chang | Mechatronics Engineering | Best Researcher Award

Mechatronics Engineering, Shantou University, China

Han-Jui Chang (Henry Chang) is an accomplished engineer and academic with over 20 years of experience in the engineering and manufacturing industries. Currently an Associate Professor at Shantou University, he specializes in industrial production processes, engineering materials, and molding simulation. Henry has extensive experience in project design, customer service, and sales in the field of injection molding, as well as in research and development of new technologies. His career is marked by his dedication to both practical industry applications and academic excellence. πŸŒπŸŽ“

Publication Profile

Strengths for the Award

  1. Extensive Experience in Research and Development: Han-Jui Chang has over 20 years of experience in engineering and manufacturing, particularly in the field of injection molding machines. His background in developing new products and technologies, combined with his expertise in analyzing and optimizing production processes, demonstrates a strong foundation in research and practical application.
  2. Notable Academic and Industrial Contributions: As an associate professor at various universities, Han-Jui Chang has contributed significantly to academia through teaching and mentoring students in subjects related to industrial production processes, engineering materials, and molding simulation. Additionally, he has published several research papers in high-impact journals (such as “Polymers” and “The International Journal of Advanced Manufacturing Technology”), which showcase his contributions to advancing knowledge in mechanical engineering and materials science.
  3. Recognition and Awards: Han-Jui Chang has been recognized for his expertise and contributions, as evidenced by his membership in the USA Sigma Xi Scientific Research Honor Society and multiple invitations as a guest speaker at renowned universities. His role as a patent holder and his numerous certifications in the field further highlight his innovation and leadership in research.
  4. Interdisciplinary Skills and Global Experience: His diverse skill set includes expertise in mechanical and electrical engineering, project management, and international trade. He has experience in both academic and industrial settings, spanning various countries and cultural contexts, making him a well-rounded candidate for the award.

Areas for Improvement

  1. Focus on Expanding Research Publications: Although Han-Jui Chang has several notable publications, expanding the volume and diversity of his research output could strengthen his case for the award. Collaborating with more researchers internationally and targeting a broader range of high-impact journals would enhance his visibility and influence in the research community.
  2. Strengthen Research Impact: While his research outputs are published in reputable journals, enhancing the citation impact and exploring interdisciplinary research areas could further demonstrate the broader relevance and applicability of his work. Engaging in more collaborative research projects with industry and academia could help achieve this.
  3. Further Involvement in Professional Organizations: While he is already a member of a prestigious research society, increasing his involvement in professional organizations (e.g., serving on editorial boards or leading committees) could demonstrate his commitment to contributing to the research community beyond his own work.

πŸŽ“ Education:

Doctorate in Industrial Education from Universidad Metropolitana (2015-2018) 🏫. Master of Science in Mechanical & Electrical Engineering from National Formosa University (2005-2007) πŸ”§πŸ“.

πŸ’Ό Experience:

Henry Chang has a diverse professional background with over 20 years in engineering and manufacturing. His roles have spanned from Service Engineer to Associate Professor, demonstrating his versatility in technical customer service, research and development, project management, and teaching. Henry has significant experience in stress analysis, plant layout, and developing innovative engineering solutions, particularly in the field of injection molding and mechanical systems. His international experience includes roles across Taiwan, China, and Europe, with a focus on customer relationship management, product development, and market expansion. πŸŒπŸ’Ό

πŸ” Research Focus:

Henry Chang’s research interests are centered on optimizing manufacturing processes, particularly through the application of advanced algorithms like NSGA-II and Kriging models. He is passionate about improving the quality and efficiency of manufacturing, specifically in areas such as injection molding, five-axis machine tools, and innovative material applications. His research combines practical engineering applications with advanced theoretical methods, contributing to the development of new technologies in the field. πŸ§¬πŸ”¬

πŸ† Awards and Honors:

Best Paper Award at the IEEE International Conference on Advanced Manufacturing (2018) πŸ…. Recognized for his innovative contributions to the evaluation of five-axis machine tools and manufacturing optimization methods. πŸ₯‡

πŸ“š Publication Highlights:

Chang, H., Sun, Y., Lu, S., & Zhang, G. (2023). Application of the NSGA-II Algorithm and Kriging Model to Optimize the Process Parameters for the Improvement of the Quality of Fresnel Lenses. Polymers, 15, 3403. Polymers Journal (SCI/Q1, IF=5.0) πŸ”

Chang, H. (2018). Using a Cone Frustum Part in the Evaluation of Multiple Types of Five-Axis Machine Tools with the Taguchi Method. IEEE International Conference on Advanced Manufacturing. IEEE Conference (Best Paper Award) πŸ…

Chang, H., Chen, S.-L., & Lee, P.-Y. (2017). Applying a Pyramid Part in the Performance Evaluation of Multiple Types of Five-Axis Machine Tools. The International Journal of Advanced Manufacturing Technology, pp1–7. πŸ“–

Conclusion

Han-Jui Chang’s extensive experience in engineering and manufacturing, combined with his academic contributions and recognition in the field, make him a strong candidate for the Best Researcher Award. He has demonstrated expertise in developing innovative solutions, optimizing manufacturing processes, and contributing to the academic community. However, further enhancing his research impact through increased publications, citations, and broader professional engagement could solidify his standing as a top contender for the award. Overall, his achievements and contributions align well with the criteria for the award, and he has the potential to make an even more significant impact in the future.