ZhengDa Long | Medicine | Best Researcher Award

Mr. ZhengDa Long | Medicine | Best Researcher Award

Wuming Hospital of Guangxi Medical University, China

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đź”° INTRODUCTION

Mr. ZhengDa Long, affiliated with Long Hospital of Guangxi Medical University, is a passionate academic and healthcare professional with a multidisciplinary background in medicine, psychology, and teaching. His career is rooted in developing innovative healthcare education tools and contributing meaningfully to student and nurse training. He is widely recognized for bridging clinical practice with academic excellence, particularly in the field of sleep health literacy.

🎓 EARLY ACADEMIC PURSUITS

Mr. Long’s academic journey began with a deep interest in medical sciences and psychology. Early on, he recognized the value of combining clinical expertise with educational outreach. His educational path was marked by a consistent commitment to improving public health and creating assessment tools for students, especially in areas that are often overlooked, such as sleep health.

🩺 PROFESSIONAL ENDEAVORS

Professionally, Mr. Long has worn many hats—educator, researcher, and mentor. He has played a pivotal role in teaching medical students and nurses, fostering their professional development while emphasizing the importance of psychological well-being. Through his dedication, he has contributed to shaping future generations of healthcare professionals and introducing new tools for academic and clinical assessment.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Mr. Long’s standout contribution is the development of the Sleep Health Literacy Scale for Students (SHLS-ST). He identified a crucial gap in healthcare education—there was no existing definition or standardized evaluation tool for sleep health literacy in college students, either domestically or internationally. In response, he led the development and validation of this tool, which is now considered a valuable asset for clinical practice and education. The SHLS-ST allows healthcare professionals to evaluate and improve students’ understanding and behaviors regarding sleep, enhancing both academic performance and overall well-being.

🌍 IMPACT AND INFLUENCE

The influence of Mr. Long’s work extends across academic and clinical domains. By introducing a reliable, scientifically validated tool for sleep health literacy, he has empowered educators and health workers to take informed action in student wellness. His research directly contributes to enhancing student mental and physical health, reducing sleep-related issues, and fostering more supportive learning environments.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Mr. Long’s research has been recognized in peer-reviewed journals. His most notable publication is titled “Development and reliability and validity test of the sleep health literacy scale for college students” and is indexed in SCI and Scopus journals. His scholarly contributions are foundational in the emerging field of sleep health education.

🏆 HONORS & AWARDS

In recognition of his impactful work, Mr. Long has been nominated for the Best Researcher Award. His development of the SHLS-ST stands out as a milestone in health education innovation. This nomination underscores the academic and societal relevance of his contributions, particularly in elevating standards of student health assessment.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, Mr. Long envisions expanding the SHLS-ST to include other populations such as adolescents and working adults. He is also exploring partnerships for international research and hopes to develop mobile-based tools that assess and promote sleep health literacy on a wider scale. His legacy is one of innovation, compassion, and a vision for integrating holistic well-being into educational systems.

✍️ FINAL NOTE

Mr. ZhengDa Long exemplifies what it means to be a modern researcher—merging scientific rigor with meaningful, real-world impact. His work in developing the Sleep Health Literacy Scale is not just a research success, but a step forward in health education, one that holds promise for institutions globally. As he continues to grow his research, his influence is set to leave a lasting mark on the academic and healthcare communities.

TOP NOTES PUBLICATIONS 📚

Development and reliability and validity test of the sleep health literacy scale for college students
  • Authors: ZhengDa Long, LiPing Huang

  • Journal: BMC Public Health

  • Year: 2025

Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Dr. Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Prince Sattam Bin Abdulaziz University | Saudi Arabia

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INTRODUCTION 🌟

Dr. Sultan Ahmad is a distinguished academician and researcher in the field of Computer Science, currently serving as a Senior Lecturer at Prince Sattam Bin Abdulaziz University in Al-Kharj, Kingdom of Saudi Arabia. With over 15 years of academic experience and a rich background in industrial work, Dr. Ahmad has become a pivotal figure in AI, IoT, and Sustainable Development research. His dedication to advancing knowledge and contributing to societal betterment is exemplified through his ongoing and completed research projects.

EARLY ACADEMIC PURSUITS 🎓

Dr. Ahmad began his academic journey with a Bachelor of Science in Computer Science and Applications from Patna University, India, where he achieved distinction in 2002. He further pursued a Master of Computer Science and Applications from Aligarh Muslim University, graduating with distinction in 2006. His pursuit of excellence continued with a Ph.D. in Computer Science from Glocal University, Saharanpur, India. These foundational achievements have laid the groundwork for his extensive contributions to computer science research and education.

PROFESSIONAL ENDEAVORS đź’Ľ

Since 2009, Dr. Sultan Ahmad has been a Senior Lecturer in the College of Computer Engineering and Sciences at Prince Sattam Bin Abdulaziz University. His professional journey spans both academic and industrial sectors, with over three years of industrial work experience and a significant academic role. His research expertise includes AI-based models, IoT, Smart Cities, Agriculture 4.0, and innovative solutions for enhancing technological infrastructure.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Ahmad’s research is primarily focused on the intersection of Artificial Intelligence, Internet of Things (IoT), and Sustainable Development. His ongoing research projects include AI-based models for facial emotion recognition and politeness assessment, as well as AI and IoT approaches for sustainable smart cities. He has also led groundbreaking projects in IoT-based agriculture security, intrusion detection systems, and the integration of IoT and fog computing in the 5G era. Dr. Ahmad’s work is at the forefront of addressing current technological challenges and envisioning future solutions.

IMPACT AND INFLUENCE 🌍

Through his leadership in research and academic contributions, Dr. Sultan Ahmad has made a significant impact on both the academic community and society. His work in AI, IoT, and sustainable development aims to create smart, secure, and sustainable environments that can improve quality of life globally. The outcomes of his projects, such as advancements in agriculture security and smart cities, hold immense potential to address pressing global challenges.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Sultan Ahmad’s scholarly output is impressive, with multiple publications in prestigious journals and conferences. He has received recognition for his work in the areas of machine learning, cloud computing, IoT, and 5G technologies. His research papers are widely cited in academic circles, and his contributions are accessible through platforms like Google Scholar and Scopus, highlighting his influence in the field.

HONORS & AWARDS 🏆

Dr. Sultan Ahmad’s excellence in research and academia has been recognized through various accolades. He holds a certification from DELL EMC as an Academic Associate in Cloud Infrastructure and Services. Additionally, his contributions as an academic editor, reviewer for renowned journals, and guest editor for special issues have further solidified his standing in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Dr. Sultan Ahmad’s legacy is characterized by his relentless pursuit of innovation and his passion for developing technologies that benefit society. His future endeavors are focused on further advancing the field of AI and IoT, particularly in areas that contribute to the betterment of smart cities, agriculture, and sustainable development. As an educator, he continues to inspire the next generation of computer science professionals, ensuring that his influence will be felt for years to come.

FINAL NOTE ✨

Dr. Sultan Ahmad’s journey from an early academic enthusiast to a prominent figure in the fields of AI, IoT, and Sustainable Development is a testament to his dedication and passion for technology. His ongoing research projects and academic endeavors promise to make a lasting impact on the world, and his commitment to shaping future generations of scholars is evident in his teaching and mentorship.

TOP NOTES PUBLICATIONS 📚

A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm
    • Authors: M Iyyappan, S Ahmad, S Jha, A Alam, M Yaseen, HAM Abdeljaber

    • Journal: Scientific Programming

    • Year: 2022

Architecture of Data Lake
    • Authors: S Ahmad, A Singh

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things
    • Authors: S Ahmad, S Khan, MF AlAjmi, AK Dutta, LM Dang, GP Joshi, H Moon

    • Journal: Computers, Materials & Continua

    • Year: 2022

Secure Smart Healthcare Monitoring in Industrial Internet of Things (IIoT) Ecosystem with Cosine Function Hybrid Chaotic Map Encryption
    • Authors: J Khan, GA Khan, JP Li, MF AlAjmi, AU Haq, S Khan, N Ahmad, …

    • Journal: Scientific Programming

    • Year: 2022

IoT Based Pill Reminder and Monitoring System
    • Authors: S Ahmad, H Mahamudul, M Gouse Pasha

    • Journal: International Journal of Computer Science and Network Security

    • Year: 2020

Efficient communication in wireless sensor networks using optimized energy efficient engroove leach clustering protocol
    • Authors: N Meenakshi, S Ahmad, AV Prabu, JN Rao, NA Othman, HAM Abdeljaber, …

    • Journal: Tsinghua Science and Technology

    • Year: 2024

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging
    • Authors: T Vaiyapuri, J Mahalingam, S Ahmad, HAM Abdeljaber, E Yang, …

    • Journal: IEEE Access

    • Year: 2023

 

Lei Wang | Quantitative Social Science Research | Best Researcher Award

Prof. Lei Wang | Quantitative Social Science Research | Best Researcher Award

International Business School, China

Author Profiles

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Scopus

📚 Summary

Prof. Lei Wang is a distinguished academic in the field of economics, with a strong focus on early childhood development, education, and rural development. He holds a professorship at the International Business School of Shaanxi Normal University and has contributed significantly to the academic community. Prof. Wang’s academic journey also includes being a visiting scholar at renowned institutions like Stanford University and Cornell University, engaging in global research collaborations. His work primarily focuses on the intersection of economics and education, especially in rural China. 

🎓 Education

Prof. Wang completed his Ph.D. in Economics at Xi’an Jiaotong University in 2006, following his M.A. in Economics from the same university in 2002. He also holds a B.A. in History from Northwest University, which gives him a broad interdisciplinary perspective in his academic pursuits. 

đź’Ľ Professional Experience

Prof. Wang’s professional journey spans roles in teaching, research, and administration. He has served as a Professor at the International Business School, Shaanxi Normal University since 2019, after being an Associate Professor there from 2010 to 2019. In addition to his academic roles, he has been a visiting scholar at esteemed institutions like Stanford University (2010-2011) and Cornell University (2024-2025). Furthermore, Prof. Wang contributed as Deputy Director of the International Affairs Office at his university from 2009 to 2016, fostering international collaborations. 

📝 Academic Contributions

Prof. Wang has significantly contributed to research in early childhood development and rural education. He is an active reviewer for several top-tier journals such as Journal of Development Economics, World Development, and China Economic Review. His research on the effects of parental involvement on child development outcomes in rural China has garnered attention in the academic community. 

🖥️ Technical Skills

Prof. Wang is highly skilled in economic research methods, statistical analysis, and econometrics. His technical expertise enables him to design complex research projects and evaluate development programs. He is proficient in data analysis software and academic databases, allowing him to conduct comprehensive studies on various economic and educational issues. 

👨‍🏫 Teaching Experience

Prof. Wang brings years of experience to the classroom, having taught undergraduate and graduate courses in economics and business. He has developed English-based programs focused on financial management and economic development. His dedication to teaching is evident in his curriculum development and his role in mentoring students, preparing them for future careers in the field. 

🔬 Research Interests

Prof. Wang’s research primarily explores early childhood development, with a focus on rural China. His studies investigate the effects of parental involvement, parenting styles, and school nutrition programs on child development. He is also engaged in policy research on rural education, economic development, and public health interventions. His ongoing work continues to shape our understanding of rural development in China. 

 

Top Noted Publications đź“–

Impact of Parental Beliefs on Child Developmental Outcomes: A Quasi-Experiment in Rural China

Authors: Lei Wang, Conghong Yang, Dingjing Jiang, Qi Jiang, Scott Rozelle

Journal: International Journal of Environmental Research and Public Health

Year: 2022

Improving learning by improving vision: evidence from two randomized controlled trials of providing vision care in China

Authors: Ma, X.; Wang, H.; Shi, Y.; Sylvia, S.; Wang, L.; Qian, Y.; Rozelle, S.

Journal: Journal of Development Effectiveness

Year: 2021

The effective prevention program at 1 hospital in China during the COVID-19 epidemic

Authors: Wang, H.; Sun, K.; Wang, L.; Zhang, K.; Tang, Q.

Journal: Disaster Medicine and Public Health Preparedness

Year: 2021

Trajectories of child cognitive development during ages 0–3 in rural Western China: prevalence, risk factors and links to preschool-age cognition

Authors: Wang, L.; Chen, Y.; Sylvia, S.; Dill, S.-E.; Rozelle, S.

Journal: BMC Pediatrics

Year: 2021

Seeing is believing: Experimental evidence on the impact of eyeglasses on academic performance, aspirations, and dropout among junior high school students in rural China

Authors: Nie, J.; Pang, X.; Wang, L.; Rozelle, S.; Sylvia, S.

Journal: Economic Development and Cultural Change

Year: 2020

Kuo-Ching Ying | Metaheuristics | Best Researcher Award

Prof Dr. Kuo-Ching Ying | Metaheuristics | Best Researcher Award

National Taipei University of Technology, Taiwan

Author Profiles

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Scopus

👨‍🏫 Current Position and Leadership Roles

Prof. Dr. Kuo-Ching Ying is currently a Distinguished Professor in the Department of Industrial Engineering and Management at National Taipei University of Technology, Taiwan. In addition to his role as a faculty member, he also serves as the Associate Dean of the College of Management and Vice Director of the EMBA Program at the university. His leadership positions reflect his deep commitment to advancing education and research in the fields of industrial engineering and management.

🎓 Early Academic Pursuits and Education

Prof. Ying’s academic journey began with a Master’s degree in Industrial Management from the National Taiwan University of Science and Technology in 1992. His academic pursuits culminated in a Ph.D. in Industrial Management from the same institution in 2003. His educational background provided the foundation for his current expertise in operations scheduling, combinatorial optimization, and various aspects of industrial management.

đź’Ľ Professional Endeavors and Editorial Contributions

Prof. Ying has significantly contributed to the academic community as an editor for several prestigious journals. He has been serving as an editor for Advances in Industrial Engineering and Management since December 2012 and has held editorial roles for other journals like IEEE Access (since 2018), Applied Sciences (since 2021), and American Journal of Operations Management and Information Systems (since 2020). His editorial work spans across more than 10 journals, underscoring his significant involvement in shaping the direction of research in industrial management and optimization fields.

🔬 Contributions and Research Focus

Prof. Ying’s primary research interests revolve around operations scheduling, combinatorial optimization, and industrial management. He has authored more than 130 academic papers in top-tier international journals such as IEEE Access, Computers and Operations Research, Applied Soft Computing, and European Journal of Operational Research. His research delves into innovative approaches to solving complex problems in industrial settings, particularly in operations management, manufacturing, and logistics.

🌍 Impact and Influence in Academia

Through his extensive research contributions and editorial roles, Prof. Ying has become a recognized figure in the fields of industrial engineering and management. His work has been cited numerous times in academic research, demonstrating his influence in advancing knowledge in operations scheduling and combinatorial optimization. His efforts have led to advancements in how industries manage production, operations, and logistics.

📚 Academic Citations and Recognition

Prof. Ying’s scholarly output has earned him wide recognition within the academic community. His work has been cited extensively across numerous journals, reflecting the importance and impact of his research. The high citation rate of his publications is a testament to the relevance and applicability of his work in both academic and industrial contexts. He is widely regarded as a thought leader in industrial management research.

đź’ˇ Technical Skills and Expertise

Prof. Ying possesses strong technical skills in areas such as operations research, optimization algorithms, and industrial management. He is particularly skilled in developing models and techniques for solving complex optimization problems related to manufacturing, logistics, and scheduling. His expertise in artificial intelligence and computational techniques further enhances his ability to contribute to cutting-edge research in these fields.

👩‍🏫 Teaching Experience and Mentorship

Prof. Ying has been a mentor to numerous students in the Department of Industrial Engineering and Management at National Taipei University of Technology. As an educator, he has significantly shaped the careers of many professionals in industrial management. His teaching philosophy emphasizes the application of theory to real-world problems, preparing students to tackle challenges in operations management and optimization. His experience in teaching and mentoring plays a key role in nurturing the next generation of scholars and industry leaders.

🌱 Legacy and Future Contributions

Prof. Ying’s legacy is already well established through his substantial academic achievements, his leadership in educational programs, and his continued contributions to the field. Looking ahead, he is likely to continue shaping the future of industrial engineering research, particularly in optimizing industrial processes and the integration of new technologies. His future contributions will likely focus on further advancing operations research, combinatorial optimization, and artificial intelligence applications in industrial contexts.

📖 Top Noted Publications 

Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Shih-Han Cheng
    Journal: Intelligent Systems with Applications
    Year: 2024
Minimizing makespan in two-stage assembly additive manufacturing: A reinforcement learning iterated greedy algorithm
  • Authors: Kuo-Ching Ying, Shih-Wei Lin
    Journal: Applied Soft Computing
    Year: 2023
Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups
  • Authors: Pourya Pourhejazy, Chen-Yang Cheng, Kuo-Ching Ying, Nguyen Hoai Nam
    Journal: Annals of Operations Research
    Year: 2023
Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, Ren-Siou Syu
    Journal: International Journal of Production Research
    Year: 2023
Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems
  • Authors: Kuo-Ching Ying, Fruggiero, F., Pourhejazy, P., Lee, B.-Y.
    Journal: Expert Systems with Applications
    Year: 2022