Ms. Lixiang Chen | Analysis Award | Best Researcher Award

Ms. Lixiang Chen | Analysis Award | Best Researcher Award

Ms. Lixiang Chen | Analysis Award | Taiyuan University of Technology | China

Ms. Lixiang Chen is an accomplished researcher and academician currently serving at Taiyuan Institute of Technology, China, where she has been a dedicated faculty member contributing to the advancement of economic and technological research. With a Ph.D. in Economics, Ms. Lixiang Chen has developed extensive expertise in innovation networks, performance budgeting systems, defense resource allocation, and strategic economic management, emphasizing how macroeconomic frameworks can optimize technological growth and policy execution. Her academic journey has been marked by her deep analytical insight into economic behavior modeling and technology policy development, enabling her to bridge the gap between theoretical economics and practical industrial applications. Professionally, Ms. Chen has participated in multiple interdisciplinary projects and international collaborations that explore the intersection of innovation economics, resource allocation mechanisms, and the emerging new energy vehicle industry, contributing significantly to both academic and policy discourse. Her research interests include innovation networks within industrial ecosystems, performance-based budgeting for governmental and defense sectors, and sustainable economic planning, all of which align closely with the global shift toward smart and sustainable economic transformation. In terms of research skills, Ms. Chen is proficient in quantitative data analysis, econometric modeling, policy evaluation, and cross-disciplinary research synthesis, enabling her to produce impactful, data-driven research outcomes that are both academically rigorous and policy-relevant. Her body of work has been recognized through multiple peer-reviewed publications in high-impact journals indexed in Scopus and IEEE, establishing her as a respected contributor to the fields of economics, technology management, and innovation systems.

Professional Profile: ORCID

Selected Publications

  1. Chen, L. (2025). Innovation Networks in the New Energy Vehicle Industry: A Dual Perspective of Collaboration Between Supply Chain and Executive Networks. World Electric Vehicle Journal. Cited by: 3

  2. Chen, L. (2021). The Evolution and Implications of the Planning, Programming, Budgeting, and Execution System. China Economist. Cited by: 8

  3. Chen, L. (2021). The Impact of Performance Budgeting on Defense Resource Allocation. International Journal of Economic Behavior and Organization. Cited by: 12

  4. Chen, L. (2020). PPBE: Research on Operation and Latest Development. American Journal of Theoretical and Applied Business. Cited by: 6

  5. Chen, L. (2020). The U.S. Department of Defense’s “Medium-Term Expenditure Framework” and Its Implications. National Defense Science & Technology. Cited by: 5

Prof. Dr. Jooho Kim | Result Analysis | Best Researcher Award

Prof. Dr. Jooho Kim | Result Analysis | Best Researcher Award

Prof. Dr. Jooho Kim, Myongji University, South Korea

Professor Joo Ho Kim is a distinguished marketing scholar at Myongji University, Seoul, specializing in consumer behavior, brand equity, and integrated marketing communications. He earned his Ph.D. in Consumer Marketing from Cornell University, after completing his M.A. in Economics at the University of San Francisco and B.A. in Economics from Hankuk University of Foreign Studies. Prior to his academic role, he served as Research Director at Diamond AD LTD., where he developed Korea’s first Brand Power Index (DBPI) and led strategic marketing consultations for major firms like Hyundai, Reebok, and Crown Bakery. Professor Kim also teaches at Seoul National University and has contributed extensively to both academia and industry through research, consulting, and education.

Professional Profile:

GOOGLE SCHOLAR

Suitability for the Research for Best Researcher Award: Joo Ho Kim

Summary of Suitability

Academic Background and Expertise:
Dr. Joo Ho Kim holds a Ph.D. in Consumer Marketing from Cornell University, a prestigious academic credential that underscores his solid foundation in advanced marketing theory and research. He also holds an M.A. in Economics from the University of San Francisco and a B.A. in Economics from Hankuk University of Foreign Studies, indicating a strong interdisciplinary grounding in economics and marketing.

🎓 Education

  • Ph.D. in Consumer MarketingCornell University, USA (1996)

  • M.A. in EconomicsUniversity of San Francisco, USA (1987)

  • B.A. in EconomicsHankuk University of Foreign Studies, Korea (1985)

💼 Work Experience

  • Professor of MarketingMyongji University (2003–Present)

    • Teaching in Business Administration

    • Focus on branding, IMC, and consumer behavior

  • Research Director & ConsultantDiamond AD Ltd., Institute of Marketing Strategy (1996–2002)

    • Developed Korea’s first Brand Power Index (DBPI)

    • Led consulting for Hyundai Motors, Reebok Korea, Crown Bakery, and more

  • InstructorSeoul National University (1996–Present)

    • Courses: Consumer Behavior, Marketing Research, Business Statistics

  • ReporterDong-A Daily News, San Francisco (1987–1988)

    • Reported news and provided economic insights

🏆 Achievements

  • Developed the Diamond Brand Power Index (DBPI) – the first of its kind in Korea 🇰🇷

  • Led marketing strategy consulting for leading Korean corporations

  • Pioneered research in brand equity and digital advertising effectiveness

🎖️ Awards & Honors

  • Recognized nationally for contributions to brand research and marketing consulting

  • Frequently invited as an academic expert and industry consultant

Publication Top Notes:

Empirical study on brand equity measurement and analysis of the impact of advertising on building brand equity

CITED:44

A study on the mutual moderating role of website trust, satisfaction, and familiarity on purchase intention

CITED:26

Analysis of the effectiveness of the Internet as an advertising medium and advertising types

CITED:18

An Empirical Study on Consumers’ Emotional Responses and Revisit Intentions toward Multiplex Cinema Facilities

CITED:16

An exploratory study on consumer choice factors and decision-making in classical music performances

CITED:16

The Influence of Personality on Brand Personality (BPS) and Consumer Purchasing Behavior: Focusing on Big 5 Personality Traits

CITED:15

The effect of advertising framing on negative consumer perception products

CITED:15

 

 

 

Ms. Saleha Kamal | Pattern Recognition Awards | Best Researcher Award

Ms. Saleha Kamal | Pattern Recognition Awards | Best Researcher Award 

Ms. Saleha Kamal, Air University, Pakistan

Saleha Kamal is an accomplished AI and Computer Vision professional based in Rawalpindi, Pakistan, with expertise in image processing, silhouette detection, segmentation, and feature classification. She is currently pursuing an MS in Computer Science at Air University, Islamabad, Pakistan (2023-2025). Saleha’s research focuses on human interaction analysis and the development of advanced algorithms for computer vision tasks. Her work has been published in esteemed international conferences, including IEEE ICECT 2024 and IEEE ICET 2024, showcasing her innovative contributions to multi-feature descriptors and composite feature-based classifiers for human interaction recognition.

Professional Profile:

GOOGLE SCHOLAR

Suitability of Saleha Kamal for the Best Researcher Award

Saleha Kamal demonstrates exceptional potential and achievements in AI, machine learning, and computer vision research, making her a compelling candidate for the Best Researcher Award. Her dedication to advancing knowledge in human interaction recognition, along with her technical and academic accomplishments, positions her as a rising star in the research community.

Education 🎓

  • MS in Computer Science (2023 – 2025)
    Air University, Islamabad, Pakistan

Work and Research Experience 💼

  • Research Experience
    • Co-authored research papers published in international conferences:
      • “Multi-Feature Descriptors for Human Interaction Recognition in Outdoor Environments” – IEEE ICECT, 2024.
      • “A Novel Human Interaction Recognition via Composite Features and Max Entropy Classifier” – IEEE ICET, 2024.

Achievements and Certifications 🏆

  • Published research in prestigious IEEE conferences.
  • Certifications:
    • Advanced Computer Vision with TensorFlow – Coursera, 2023.
    • Machine Learning Specialization – Coursera, 2023.

Publication Top Notes:

A Novel Human Interaction Recognition via Composite Features and Max Entropy Classifier

CITED:8