Zhihui Ding | Data Science in Marketing | Best Paper Award

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Assoc. Prof. Dr. Zhihui Ding | Data Science in Marketing | Best Paper Award

Associate Professor at the School of Business, Qingdao University of Technology, China

Zhihui Ding is an Associate Professor at the School of Business, Qingdao University of Technology, whose research advances the intersection of innovation management and digital transformation. With a solid academic foundation and considerable contributions to applied research, Ding has established himself in areas such as product innovation, business model innovation, and AI-enabled industrial upgrading. He has led several high-profile research projects funded by national and provincial agencies, including the Ministry of Education. In addition to publishing more than 20 scholarly articles and an academic monograph, he actively engages in interdisciplinary collaborations to address practical industrial challenges. His expertise and academic output position him as an influential voice in the business and innovation research community.

Profile

Scopus

Education

Zhihui Ding holds a PhD with a specialization in innovation management and organizational strategy. His academic training laid the groundwork for his research pursuits that focus on industrial transformation and technology-driven innovation. Throughout his educational journey, he has cultivated a deep understanding of both classical and contemporary business theories, with a special emphasis on strategic innovation models. His educational background complements his current role as a master’s supervisor, where he mentors graduate students in cutting-edge research areas, encouraging them to explore practical applications of theoretical frameworks in business and management.

Experience

With a current appointment as Associate Professor at Qingdao University of Technology, Ding has accumulated years of academic and applied experience. He is a leading researcher and educator in the School of Business, where he contributes to both curriculum development and academic research. His leadership has extended to the successful management of key research initiatives including a Humanities and Social Sciences Youth Fund project. He has also undertaken consultancy roles, such as participating in a city-level project supported by the Deputy Mayor of Qingdao that explored the integration of manufacturing with productive service industries. His academic and project-based experiences are synergistically aligned, fostering impactful contributions to both scholarship and society.

Research Interest

Zhihui Ding’s research interests lie in product innovation, innovation management, business model innovation, and artificial intelligence (AI)-enabled industrial transformation. He particularly focuses on how firms can integrate users into innovation processes, using game theory and strategy modeling to understand customer participation in innovation ecosystems. He introduced novel frameworks like the “user gatekeeper” concept to explain online innovation behaviors. His recent work addresses the transformative role of AI in industrial and educational sectors, especially regarding the development of new profit models and mass customization strategies. Ding’s research portfolio bridges theoretical rigor with applied relevance, contributing to academic advancement and real-world problem-solving.

Award

Zhihui Ding has earned recognition through numerous funded projects, particularly the Humanities and Social Sciences project under the Ministry of Education. His academic leadership has been pivotal in securing multiple grants at the provincial and municipal levels. Acknowledging his contributions, his research outcomes have been integrated into regional economic policy-making efforts, such as the Qingdao industrial development initiative. Additionally, he has been nominated for the Best Paper Award under the AI Data Scientist Awards, reflecting the academic community’s recognition of his influential and innovative publications in AI-driven research areas.

Publication

Zhihui Ding has published over 20 scholarly papers and an academic monograph. Below are selected works with their publication year.

  1. Ding, Z., Lu, Z., & Zhu, W. (2025) – Evolutionary Game Analysis of Knowledge Sharing in Enterprise Sponsored Virtual Communities Considering User Characteristics,

Conclusion

Zhihui Ding stands out as a thought leader at the nexus of business innovation, strategic transformation, and digital evolution. With a research trajectory marked by intellectual originality and practical applicability, he continues to make significant academic and societal contributions. His work blends theoretical exploration with real-world relevance, particularly in China’s evolving industrial landscape. Through sustained research efforts, collaborative projects, and impactful publications, Ding remains a central figure in shaping how businesses and educational institutions adapt to and benefit from innovation and AI technologies. His ongoing pursuits promise to advance both scholarly knowledge and practical solutions for a rapidly transforming world.

Jaya Raju G | Machine Learning | Best Researcher Award

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Mr. Jaya Raju G | Machine Learning | Best Researcher Award

Assistant Professor at Aditya University, India

G. Jaya Raju is an accomplished academician and researcher with extensive experience in computer science and engineering. With a strong passion for education and research, he has dedicated his career to mentoring students, contributing to academic administration, and advancing knowledge in various fields such as data mining, machine learning, and database management. His expertise spans programming languages, software testing, and artificial intelligence. Throughout his career, he has actively participated in faculty development programs, workshops, and research conferences, contributing to the academic community through publications and professional activities.

Profile

Scopus

Education

G. Jaya Raju is currently pursuing a Ph.D. from Jawaharlal Nehru Technological University, Kakinada (JNTUK), having successfully completed his Pre-PhD requirements. He obtained his M.Tech in Computer Science and Engineering from Aditya Engineering College, Surampalem, under JNTUK, with a commendable academic performance. Additionally, he holds an M.Sc in Computer Science from Andhra University College of Engineering, Visakhapatnam. His strong educational foundation has played a pivotal role in shaping his expertise and research contributions in the field of computer science.

Experience

With over a decade of experience in academia, G. Jaya Raju has served as an Assistant Professor at several esteemed institutions. Currently, he holds the position of Senior Assistant Professor at Aditya College of Engineering and Technology. Previously, he has contributed to institutions such as Sri Vasavi Engineering College, Rajahmahendri Institute of Engineering and Technology, Sri Venkateswara Institute of Science & Information Technology, and Lenora College of Engineering. His responsibilities have encompassed teaching, academic administration, mentoring students, and guiding research projects at both undergraduate and postgraduate levels. Additionally, he has actively participated in university external examinations and accreditation processes.

Research Interests

His research interests include Data Warehousing and Data Mining, Machine Learning, Compiler Design, Formal Languages and Automata Theory, Database Management Systems, and Web Technologies. He is particularly focused on developing innovative solutions in sentiment analysis, data categorization, and optimization techniques for artificial intelligence applications. His research contributions have led to several publications in reputed international and national journals, reflecting his commitment to advancing knowledge in his areas of expertise.

Awards and Recognitions

G. Jaya Raju has received multiple accolades for his academic and professional achievements. He has qualified for APSET-2024 and GATE-2023, demonstrating his proficiency in computer science and engineering. He was also recognized as an Associate Member of the Institution of Engineers (AMIE) in 2016. Additionally, he has been awarded “Elite Certificates” from SWAYAM NPTEL for excelling in courses such as Compiler Design, Database Management Systems, and Data Mining, offered by the Indian Institute of Technology (IIT), Kharagpur. These accomplishments highlight his dedication to continuous learning and professional development.

Publications

“Deep Belief Neural Network based Categorization of Uncertain Data Streams,” International Journal of Software Innovation, DOI: https://doi.org/10.4018/IJSI.312262, cited by multiple research articles.

“Classical Software Testing Using Semi-Proving,” IJCST Vol. 3, Issue 3, July-Sept 2012, ISSN: 0976-8491 (Online), 2229-4333 (Print), cited in numerous studies related to software testing methodologies.

“Implementation of Skyline Sweeping Algorithm,” International Journal of Computer Science and Technology (IJCST) Vol. 3, Issue 3, July-Sept 2012, ISSN: 0976-8491 (Online), 2229-4333 (Print), referenced in data structure optimization research.

“Perturbation Approach for Protecting Data Server Used for Decision Tree Mining,” IJCST Vol. 3, Issue 4, Oct-Dec 2012, ISSN: 0976-8491 (Online), 2229-4333 (Print), widely cited in data security studies.

Conclusion

G. Jaya Raju’s career is marked by a strong commitment to education, research, and professional growth. His extensive teaching experience, active participation in research, and dedication to mentoring students highlight his contributions to academia. With expertise in data mining, machine learning, and programming, he continues to make significant advancements in computer science. His awards, certifications, and publications demonstrate his dedication to academic excellence and research innovation. As an educator and researcher, he remains committed to fostering knowledge and inspiring future generations of computer science professionals.