Dr. Han Zhang | Computer Science | Best Researcher Award

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Han Zhang | Computer Science | Best Researcher Award

Research Institute of Petroleum Exploration and Development, China

Dr. Han Zhang is a young and dedicated researcher at the China National Petroleum Corporation Research Institute of Petroleum Exploration and Production, where he focuses on advancing intelligent reservoir development and optimization for the future of the energy industry. With a strong educational foundation, he earned his bachelor’s degree in Marine Oil and Gas Engineering from a prestigious petroleum university in China, majoring in reservoir and oil production engineering, before continuing his master’s and doctoral studies in Oil and Gas Field Development Engineering at the same institute. His research centers on the development of advanced mathematical and numerical models that address key challenges in petroleum engineering, particularly intelligent reservoir management. Dr. Zhang has contributed to one national-level and one provincial-level research project and has also taken part in an industry consultancy project, demonstrating his ability to bridge academic research with practical applications. He has published peer-reviewed articles, including a notable study on gated recurrent unit-based dynamic characterization methods for horizontal wells in carbonate reservoirs, as well as a paper on closed-loop optimization systems for evaluating development potential with water-alternating gas flooding. With three patents under process and active membership in the Society of Petroleum Engineers, Dr. Zhang has positioned himself as a rising scholar committed to innovation. His contributions include refining the analytic hierarchy process through coupling with entropy weight methods for more objective production evaluation, as well as pioneering predictive models that enhance reservoir characterization. He aspires to continue developing transformative technologies that promote efficiency, sustainability, and innovation in petroleum exploration and production.

Profile: ORCID 

Featured Publications

Zhang, H. (2025). A closed-loop optimization system for evaluating the development effect and potential of producers with water alternating gas flooding. Processes.

Zhang, H. (2025). A dynamic characterization method for horizontal wells based on the gated recurrent unit: A case study of a carbonate reservoir in the Middle East. In Springer Series in Geomechanics and Geoengineering. Springer.

Hsin-Yuan Chen | Computer Science | Best Researcher Award

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Prof. Hsin-Yuan Chen | Computer Science | Best Researcher Award

Zhejiang University | China

Prof. Hsin-Yuan Chen is a distinguished scholar and technology leader known for his extensive contributions to artificial intelligence, robotics, and digital technology innovation. He currently serves as the Changjiang Scholar Professor and Director at Zhejiang University’s Institute of Wenzhou, Center of Digital Technology Entrepreneurship and Innovation in China, as well as Adjunct Distinguished Professor at Patil University in India. With an academic and professional journey spanning universities, research institutes, and top technology companies, Prof. Chen has built a reputation for pioneering research, impactful industry collaborations, and leadership in advancing global technology ecosystems.

Publication Profile

Scopus

ORCID

Education Background

Prof. Hsin-Yuan Chen pursued his academic studies at National Cheng Kung University, where he earned both his Bachelor’s and Ph.D. degrees in Aerospace Engineering, completing his doctoral program directly after undergraduate study. His rigorous academic foundation combined with a strong focus on applied research shaped his career path, enabling him to bridge advanced engineering knowledge with emerging fields like artificial intelligence and big data. His educational achievements not only established him as a capable researcher but also laid the groundwork for his future endeavors in academia, technology innovation, and international collaborations across multiple institutions and disciplines.

Professional Experience

Prof. Hsin-Yuan Chen has held numerous leadership and academic roles across diverse sectors. He served as Dean and Professor at Fujian Normal University’s School of Big Data and Artificial Intelligence, and also held CTO positions at GEOSAT Technology and Mobiletron Electronics, leading artificial intelligence applications in industry. His early career included academic appointments at Feng Chia University and National Taiwan Ocean University, alongside international experience as Visiting Professor at Washington University in St. Louis. Additionally, he contributed to public service as a Patent Examiner at the Intellectual Property Office and worked with Delta Electronics as Technical Advisor, balancing academia with industrial innovation.

Awards and Honors

Prof. Hsin-Yuan Chen has been widely recognized with prestigious national and international awards. His accolades include the ScienceFather International Outstanding Scientist Award, the Electronics Best Paper Award, and fellowship honors from IET and ASEAN. He has also received multiple innovation and creativity awards for projects in virtual reality, artificial intelligence, and cloud technology, particularly in digital cultural heritage applications. Earlier distinctions include the Global Top Hundred Engineers Medal, Youth Medal of the Republic of China, and recognition as one of the Top Ten Outstanding Young Women in the Republic of China. His achievements highlight his dedication to research, teaching, and technological innovation.

Research Focus

Prof. Hsin-Yuan Chen’s research primarily spans artificial intelligence, robotics, big data, digital innovation, and human-centered computing. He has extensively explored AI applications in fields such as healthcare, education, and cultural heritage digitalization. His work includes developing hybrid positioning systems, AI-driven recognition technologies, and bibliometric studies in AI applications. He has also focused on advancing industry-academia collaboration and integrating emerging technologies like VR, AR, and IoT into practical solutions. Through his contributions, Prof. Chen has advanced both theoretical research and applied science, strengthening connections between innovation, entrepreneurship, and real-world societal impact in the digital era.

Publication Notes

  1. Evaluating Machine Learning Algorithms for Alzheimer’s Detection: A Comprehensive Analysis
    Published Year: 2025
    Citation: 1

  2. Impact of Industry-Academia Collaboration in Engineering Education: A Case Study
    Published Year: 2025
    Citation: 3

  3. Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database
    Published Year: 2025
    Citation: 2

  4. Mapping the Evolution: A Bibliometric Analysis of Employee Engagement and Performance in the Age of AI-Based Solutions
    Published Year: 2025
    Citation: 1

  5. Advancements in Handwritten Devanagari Character Recognition: A Study on Transfer Learning and VGG16 Algorithm
    Published Year: 2024
    Citation: 1

Conclusion

Prof. Hsin-Yuan Chen’s career exemplifies the synergy between academic excellence and industrial innovation. With a solid foundation in aerospace engineering, he has consistently expanded his expertise into artificial intelligence, robotics, and digital transformation. His leadership roles across universities, research institutions, and technology enterprises demonstrate his global influence, while his awards reflect recognition for outstanding achievements in both research and practice. As an educator, innovator, and scientist, Prof. Chen continues to inspire through his contributions to emerging technologies and his efforts in building bridges between academia and industry to shape the future of digital transformation.

mourad JABRANE | Computer Science | Best Researcher Award

Published on by Computer Scientists Awards

Prof Dr. mourad JABRANE | Computer Science | Best Researcher Award

software enginee, sultan moulay slimane university, Morocco

JABRANE Mourad is a state-certified software engineer and a third-year Ph.D. candidate at the National School of Applied Sciences, Sultan Moulay Slimane University. With a passion for designing scalable and efficient systems, Mourad excels in data mining, machine learning, and distributed computing. As an adjunct professor, he effectively conveys complex concepts, making him a valuable contributor to both academia and industry.

Publication Profile

Strengths for the Award:

  1. Solid Academic Background: Jabrane Mourad holds a state-certified software engineering degree and is currently a Ph.D. candidate specializing in Big Data, showcasing a strong academic foundation in cutting-edge technologies.
  2. Research Contributions: His research work focuses on significant areas like entity resolution in Big Data, machine learning, and distributed computing. His publications in reputable journals, such as the Journal of Intelligent Information Systems and Information Systems, highlight his contributions to the field.
  3. Diverse Skill Set: Mourad has extensive expertise in programming languages (Java, Python, JavaScript, etc.), frameworks (Spring, Angular), and software engineering tools (Docker, Jenkins, Kubernetes), making him a well-rounded researcher with practical skills applicable to various domains.
  4. Teaching Experience: As an adjunct professor, Mourad has taught a wide range of subjects including data integration, advanced Java Enterprise Edition, and distributed systems. His teaching experience demonstrates his ability to communicate complex concepts clearly, which is a valuable trait in academia.
  5. International Recognition: The publication of his work in international journals and his participation in global research projects suggest that his research has gained international recognition, making him a strong candidate for the award.

Areas for Improvement:

  1. Broader Impact: While Mourad’s research contributions are significant, further efforts to collaborate on interdisciplinary projects or engage in community outreach could broaden the impact of his work.
  2. Innovation and Patents: Although he has a strong publication record, obtaining patents or developing innovative software solutions could further strengthen his candidacy for a best researcher award.
  3. Networking and Collaborations: Expanding his network and collaborating with more researchers across different institutions could help him gain more visibility and access to diverse research opportunities.

Education

Ph.D. Candidate (2021 – Present): National School of Applied Sciences, Sultan Moulay Slimane University.
Thesis title: Entity Resolution in Big Data. State Software Engineer (2018 – 2021): National School of Applied Sciences, Sultan Moulay Slimane University. MP Higher School Preparatory Classes (2016 – 2018): Centre Ibn Abdoun.
Track title: Mathematics, Physics, and Engineering Sciences.

Experience 💼

JABRANE Mourad has accumulated significant experience as an adjunct professor at the National School of Applied Sciences, where he has taught a variety of subjects including Data Integration, Data Quality, Advanced JEE, Distributed Systems, Python Programming, MATLAB, and C Programming. His roles extend to both regular courses and continuing education programs, demonstrating his versatility and commitment to teaching.

Research Focus 🔬

Mourad’s research is centered around big data, with specific interests in data mining, machine learning, and distributed computing. His Ph.D. work focuses on Entity Resolution in Big Data, where he is exploring innovative approaches to improve accuracy and efficiency in large-scale data matching.

Awards and Honors 🏅

Though the detailed awards and honors list is not provided, Mourad’s academic and professional journey is marked by his selection as a Ph.D. candidate and his appointment as an adjunct professor at a prestigious institution.

Publications 📚

Mourad has contributed extensively to the field of big data and machine learning. Below are some of his notable publications:

  1. “Erabqs: Entity resolution based on active machine learning and balancing query strategy” – Published in Journal of Intelligent Information Systems, March 2024. Cited by 3 articles.
  2. “Enhancing entity resolution with a hybrid active machine learning framework: Strategies for optimal learning in sparse datasets” – Published in Information Systems, November 2024. Cited by 7 articles.
  3. “Enhancing semantic web entity matching process using transformer neural networks and pre-trained language models” – Published in Computing and Informatics, 2024. Cited by 5 articles.
  4. “Sentiment analysis dataset in Moroccan dialect: Bridging the gap between Arabic and Latin scripted dialect” – Published in Language Resources and Evaluation, July 2024. Cited by 4 articles.

 

Conclusion:

Jabrane Mourad presents a strong case for the Best Researcher Award due to his solid academic background, notable research contributions in Big Data and machine learning, and diverse technical skills. His role as an adjunct professor and his extensive teaching experience further emphasize his ability to convey knowledge and contribute to the academic community. To enhance his candidacy, Mourad could focus on increasing the broader impact of his research through interdisciplinary collaborations and innovation. Overall, Mourad is a well-rounded candidate with the potential to make substantial contributions to the field, making him a suitable contender for the award.