Rashed Nawaz | Public health | Best Researcher Award

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Dr. Rashed Nawaz | Public health | Best Researcher Award

Luohe Medical College | China

Author Profile

Scopus

👤 Summary

I am Rashed Nawaz, a motivated academic and researcher with a PhD in Public Policy and Administration from Xi’an Jiaotong University, China. With over 10 years of experience in research and teaching, I specialize in health policy, public administration, and human resource management. I have published extensively in top-tier SSCI journals and am passionate about contributing to academic excellence and policy research globally.

🎓 Education

I earned my PhD from Xi’an Jiaotong University (2018–2023), focusing on health human resources and maternal-child healthcare outcomes. Before that, I completed an MS in Management Sciences from Hazara University, Pakistan, and a BBA (Honors) in Finance from the same university. I also hold a Higher Secondary Certificate in Pre-Engineering from BISE Pakistan.

💼 Professional Experience

Currently, I am a Research Associate at Luohe Medical College, Henan, China. Previously, I worked as a Lecturer at the Hope Institute of Science and Technology, Pakistan, and as a Visiting Lecturer at Hazara University. My roles included teaching, research, and administrative duties, contributing to the academic development of students at both undergraduate and postgraduate levels.

📚 Teaching Experience

I have taught courses such as Human Resource Management, Business Research Methods, Strategic Management, Financial Management, and Entrepreneurship. My teaching experience spans bachelor’s and master’s programs, where I have guided students in both theoretical concepts and practical applications.

🔬 Research Interests

My research focuses on public policy, health equity, health human resources, and innovation management. I have a particular interest in maternal and child health outcomes, health system performance, and socioeconomic inequalities in healthcare access.

🛠️ Technical Skills

I am proficient in statistical software including SPSS, AMOS, and Smart-PLS, and have strong skills in MS Office tools such as Word, Excel, and PowerPoint. I am fluent in English and Urdu, with intermediate proficiency in Chinese (HSK Level III).

📄 Academic Publications & Citations

I have authored and co-authored over 25 peer-reviewed articles in high-impact SSCI journals including PLoS ONE, BMC Public Health, and Journal of Health, Population and Nutrition. My publications address key issues in health policy, healthcare workforce distribution, and public health outcomes in Pakistan and China.

📖Publications

Association of Health Human Resources Distribution and Neonatal Mortality: The Mediating Role of Maternal and Child Healthcare Services

Authors: Rashed Nawaz, Zhou Z., Shaoqing G., Khalid N.
Journal: Journal of Health, Population and Nutrition
Year: 2025 (Accepted on June 3, 2025)

 Association between Antenatal Care Visits and Under-Five Mortality: An Analysis of the Pakistan Demographic and Health Surveys

Authors: Nawaz R., Khalid N., Zhou Z.
Journal: PLoS ONE
Year: 2025 (Accepted on January 2025)

Effect of Human Resources for Health Distribution to Improve Maternal and Child Healthcare Outcomes in the Public Healthcare System of Pakistan

Authors: Rashed Nawaz, Zhou Z., Khalid N.
Journal: BMC Public Health
Year: Under Review (Revision Submitted February 2025)

Association of Health Human Resources Distribution and Under-Five Mortality Based on the Context of Environmental Hygiene

Authors: Nawaz R., Zhou Z., Khalid N.
Journal: Humanities and Social Sciences Communications
Year: Under Review (Revision Received March 2025)

Trends in Socioeconomic Inequalities in the Prevalence of Chronic Non-Communicable Diseases in China: Evidence from Shaanxi Province During 2003–2013

Authors: Wang D., Nawaz R., Fan X., Shen C., Lai S., Zhou Z., Gao J.
Journal: Healthcare (MDPI)
Year: 2025 (Published January 2025, Vol. 13, No. 2, p.178)

Yuhuan Fei | Object Detection | Best Researcher Award

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Assist Prof Dr. Yuhuan Fei | Object Detection | Best Researcher Award

Qufu Normal University | China

PUBLICATION PROFILE

Scopus

👤 Summary

Dr. Yuhuan Fei is an Associate Professor at Qufu Normal University, China, with a strong background in Machine Learning, Intelligent Manufacturing, and Ceramic Cutting Tools. He holds a Ph.D. in Mechanical Manufacturing and Automation and focuses on the development and performance of advanced ceramic cutting tools, material microstructure, and mechanical properties. Dr. Fei has made substantial contributions to scientific research, including numerous journal publications, patents, and participation in national research projects.

🎓 Education

Dr. Fei completed his Ph.D. in Mechanical Manufacturing and Automation at Shandong University in 2012, with a thesis on fabrication and cutting performance of Al2O3-TiC-TiN ceramic cutting tools. Prior to that, he earned a Master’s degree in Materials Processing Engineering from Northeastern University in 2007, focusing on the phase analysis of Ti-700 alloy. He also holds a Bachelor’s degree in Material Forming and Controlling Engineering, completed in 2004 at Northeastern University.

🧑‍🏫 Professional Experience

Dr. Fei has held various academic and professional positions. He served as a Visiting Scholar at McGill University from 2017 to 2018. Since 2013, he has been an Associate Professor at Qufu Normal University in Shandong Province. Before that, he worked as a Patent Examiner at the Patent Examination Cooperation Center (SIPO) in Jiangsu Province, focusing on intellectual property evaluations related to material sciences.

📚 Academic Citations

Dr. Fei has authored numerous papers in high-impact journals. Some of his most cited works include those published in the Journal of Real-Time Image Processing (2025), Journal of Ceramic Science and Technology (2021, 2019), and Ceramics International (2014). His research also appears in Materials Science and Engineering A, Rare Metal Materials and Engineering, and several other prestigious journals, significantly contributing to the fields of material science and engineering.

🛠️ Technical Skills

Dr. Fei’s technical expertise includes:

  • Advanced ceramic material development and cutting tool fabrication

  • Phase composition analysis and microstructure characterization of materials

  • Machine learning applications in intelligent manufacturing systems

  • Patent analysis and intellectual property research

👨‍🏫 Teaching Experience

Dr. Fei has an active teaching role at Qufu Normal University, where he imparts knowledge on material science and engineering, particularly focusing on ceramic cutting tools and intelligent manufacturing. He supervises graduate students, guiding them through research projects and theses, while also leading research seminars and educational workshops.

🔬 Research Interests

Dr. Fei’s primary research interests include:

  • Development of ceramic cutting tools for advanced manufacturing

  • Study of material processing techniques and phase transitions in cutting materials

  • Application of machine learning to optimize manufacturing processes

  • Investigation of mechanical properties and microstructural characteristics of ceramics

📚 Top Notes Publications 

The Influence of Ni Addition on the Microstructures and Mechanical Properties of Al2O3–TiN–TiC Ceramic Materials

    • Authors: Yuhuan Fei, Chuanzhen Huang, Hanlian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2018

Study on the Cutting Performance of Al2O3-TiC-TiN Ceramic Tool Materials

    • Authors: Yuhuan Fei, Chuan Zhen Huang, Han Lian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2016

On the Formation Mechanisms of Fine Granular Area (FGA) on the Fracture Surface for High Strength Steels in the VHCF Regime

    • Authors: Yong-De Li, Limin Zhang, Yuhuan Fei, Mei-Xia Li

    • Journal: Not mentioned in the provided text

    • Year: 2015

Mechanical Properties of Al2O3–TiC–TiN Ceramic Tool Materials

    • Authors: Yuhuan Fei, C.Z. Huang, H.L. Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2014

Establishment of the Low Defect Ceramic Cutting Tool Database

    • Authors: Chang Bin Zou, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2013

The Effects of Sintering Process on Microstructure and Mechanical Properties of TiB2-Ti(C0.5N0.5)-WC Composite Tool Materials

    • Authors: Yan Zhao, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2012

 

Kuntao Ye | Signal Processing Algorithm | Best Researcher Award

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Dr. Kuntao Ye | Signal Processing Algorithm | Best Researcher Award

Jiangxi Univ. of Sci. and Tech. | China

PUBLICATION PROFILE

Orcid

Dr. Kuntao Ye⚡🌍

INTRODUCTION 🌟

Dr. Kuntao Ye is an esteemed academic with a distinguished career in the fields of Electrical Engineering and Physics. As a professor at Jiangxi University of Science and Technology in China, Dr. Ye continues to contribute significantly to higher education, teaching, and research. His extensive academic background and professional experience in both academia and industry have earned him recognition globally. His work encompasses optical sensing, MEMS technology, signal processing, and more, making him a prominent figure in the research community.

EARLY ACADEMIC PURSUITS 📚

Dr. Ye’s academic journey began in China, where he obtained his B.S. and M.S. degrees from Nankai University, specializing in condensed matter physics and optics. His passion for research in photonics and optics led him to pursue a Ph.D. in Electrical Engineering from the University of Cincinnati, where he developed pioneering techniques for integrating optical nanoprobes with CMOS photodetection circuitry.

PROFESSIONAL ENDEAVORS 💼

Dr. Ye has had a wide-ranging career that includes roles as a postdoctoral fellow, product engineer, CTO, and visiting scholar. He has held important teaching positions, including as an associate professor at Jiangxi University of Science and Technology, where he imparts his expertise in signal processing, optoelectronics, and more. His time as a CTO at IntelliSense Corporation, as well as his academic visits to prestigious institutions such as McMaster University and the University of Nevada, have further enriched his professional portfolio.

CONTRIBUTIONS AND RESEARCH FOCUS ON Signal Processing Algorithm 🔬

Dr. Ye’s research spans a diverse array of topics including MEMS technology, optoelectronics, hyperspectral imaging, and signal processing. He has led several major research projects funded by the National Natural Science Foundation of China and other prestigious entities. His work on MEMS-based Fourier transform spectrometers, multi-parameter identification for turbid media, and advancements in image compression and sensing algorithms have earned him a reputation for groundbreaking contributions in these fields.

IMPACT AND INFLUENCE 🌍

Dr. Ye’s research has had a significant impact on various industries, particularly in the fields of optical sensing and MEMS technology. His patented inventions, including novel driving circuits for MEMS micromirrors and infrared-visible light image fusion methods, have been recognized both domestically and internationally. His research findings have been published in leading journals and conferences, further solidifying his position as an influential academic and researcher.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Dr. Ye has authored over 30 research papers and holds numerous patents. His work has been published in highly respected journals such as the IEEE Access and the Journal of Circuits, Systems, and Computers. His research continues to be cited by scholars and practitioners, particularly in the fields of image processing, hyperspectral sensing, and MEMS technology. His papers on advanced algorithms for image compression and detection techniques have been widely recognized for their innovative approaches.

HONORS & AWARDS 🏆

Throughout his career, Dr. Ye has received several accolades for his teaching and research achievements. These include the Outstanding Supervisor of Excellent Master’s Theses Award, Excellent Instructor Award at the National University Physics Experiment Competition, and recognition for his work in the Physics Innovation Contest. He has also been honored with the Advanced Worker of Science Popularization award by the Association of Science and Technology in Ganzhou City.

LEGACY AND FUTURE CONTRIBUTIONS  🔮

Dr. Ye’s legacy lies in his continuous pursuit of innovation and excellence in both teaching and research. His future contributions are expected to further advance technology in areas such as hyperspectral imaging, optoelectronic devices, and signal processing. With a strong foundation in both fundamental research and applied technology, Dr. Ye is poised to remain a key figure in the academic and research community for years to come.

FINAL NOTE ✨

Dr. Kuntao Ye’s work as a researcher and educator has left an indelible mark on the academic and professional world. His contributions to optics, MEMS technology, and signal processing have advanced the fields significantly. As an educator, he has shaped the minds of countless students, preparing them for careers in science and technology.

TOP NOTES PUBLICATIONS 📚

  • Multi-Scale Channel Distillation Network for Image Compressive Sensing

    • Authors: Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu
    • Journal: IEEE Access
    • Year: 2025

  • Differential Self-Feedback Dilated Convolution Network With Dual-Tree Channel Attention Mechanism for Hyperspectral Image Classification

    • Authors: Zhiqiang Xiao, Kuntao Ye, Guolong Cui
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2024

  • A Statistical Model-Based Approach for Reproducing Intermittent Faults in Electrical Connectors under Varying Vibration Loading Conditions

    • Authors: Xinglong Zhou, Kuntao Ye, Sheng Li, Songhua Liu
    • Journal: Journal of Circuits, Systems and Computers
    • Year: 2024

  • An Improved Beetle Swarm Antennae Search Algorithm Based on Multiple Operators

    • Authors: Kuntao Ye, Leilei Shu, Zhiqiang Xiao, Wen Li
    • Journal: Soft Computing
    • Year: 2024

 

Sogand Dehghan | social network analysis | Best Innovation Award

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Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.

 

Noor Ul Hadi | Strategic Management | Best Researcher Award

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Dr. Noor Ul Hadi | Strategic Management | Best Researcher Award

Doctorate at Prince Mohammad Bin Fahd University, Saudi Arabia

PROFILES👨‍🎓

 BIOGRAPHY OF DR. NOOR UL HADI 🌟

EARLY ACADEMIC PURSUITS 🎓

Dr. Noor Ul Hadi began her academic journey with a strong foundation in Strategic Management. She earned her advanced degrees from prestigious institutions, where she honed her research skills and developed a passion for data analysis and sustainable business practices. Her commitment to education laid the groundwork for her future endeavors in academia and research.

PROFESSIONAL ENDEAVORS 💼

Currently an Associate Professor at Prince Mohammad Bin Fahd University, Saudi Arabia, Dr. Hadi has built a distinguished career in higher education. With over 30 published articles in reputable journals, she has significantly contributed to the academic community, engaging in editorial roles and fostering collaborations with fellow researchers.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Dr. Hadi’s research primarily revolves around Business Circularity, focusing on sustainable practices that align with the United Nations Sustainable Development Goals (SDGs). Her work addresses critical areas such as public health, quality education, and responsible consumption, making her contributions essential for advancing sustainability in industry and society.

IMPACT AND INFLUENCE 🌍

Her influential papers on data analysis have garnered substantial citations, underscoring her impact in the field. Notably, her insights into small enterprises and social entrepreneurship are pivotal for fostering economic growth and innovation. Dr. Hadi’s work in recycling and circular economy principles has inspired both academic peers and industry practitioners.

ACADEMIC CITES 📚

With a citation index of 2107 on Google Scholar, Dr. Hadi’s research is widely recognized and cited. Her notable publications highlight the importance of strategic management in contemporary business practices and demonstrate her leadership in fostering responsible innovation.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Noor Ul Hadi is committed to advancing knowledge and practices in sustainable business. Her future contributions aim to deepen the understanding of circular economy principles and promote sustainable development in academia and industry. Through her mentorship and research initiatives, she continues to inspire the next generation of scholars and practitioners.

TOP NOTED PUBLICATIONS 📖

Unveiling the Complex Relationship between Open Circular Innovation and Business Circularity: The Role of Circular-Based Dynamic Capabilities and Circular Ambidexterity
  • Authors: Hadi, N.U.
    Journal: Sustainability (Switzerland)
    Volume: 16
    Issue: 17
    Pages: 7647
    Year: 2024
Fostering hotel ambidexterity through knowledge-sharing culture and knowledge-sharing behavior: a study of the hospitality sector in Pakistan
  • Authors: Hadi, N.U., Sheikh, S.A.
    Journal: Business Process Management Journal
    Volume: 30
    Issue: 4
    Pages: 1297–1313
    Year: 2024
Promoting sustainable learning among accounting students: evidence from field experimental design
  • Authors: Hadi, N.U., Abdel-Razzaq, A.I.
    Journal: Higher Education, Skills and Work-based Learning
    Volume: 14
    Issue: 2
    Pages: 479–491
    Year: 2024
Exploring the Relationship Between Performance Assessment and Employee Performance: The Role of Performance Planning and Performance Review
  • Authors: Al Thawadi, M.M., Hadi, N.U.
    Book Title: Studies in Systems, Decision and Control
    Volume: 517
    Pages: 523–531
    Year: 2024
Simple Mediation Analysis: The Complementing Role of Parallel Multiple Mediation Approach via Process Analysis
  • Authors: Mahmood, N., Hadi, N.U., Talha, M.
    Book Title: Studies in Systems, Decision and Control
    Volume: 517
    Pages: 479–493
    Year: 2024