Ying Jin | Big Data Analytics | Best Researcher Awards

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Ying Jin | Big Data Analytics | Best Researcher Award

Professor, Nanjing University, China

Profile

 Scopus 

Prof. Jin Ying is a Professor at the Department of Computer Science and Technology, Nanjing University, widely recognized for her leadership and contributions in computer education, data mining, citation analysis, big data, and virtual reality applications. Her career bridges teaching, research, and academic service, reflecting a strong commitment to advancing both theoretical knowledge and practical innovations in the field of computer science. She has served in multiple influential academic and professional roles, helping shape the direction of education and technology integration in China.

Education

Prof. Jin began her academic journey in geochemistry and later transitioned into information management and computer science, bringing an interdisciplinary perspective to her work. She earned her Ph.D. in Management with a specialization in data mining and CSSCI research, which laid the foundation for her impactful contributions in citation analysis, big data, and education technology. Her diverse educational background allows her to integrate cross-disciplinary insights into computer science education and applied research.

Experience

Throughout her career at Nanjing University, Prof. Jin has advanced from teaching assistant to lecturer, associate professor, and eventually full professor. She teaches a wide range of courses including computer applications, Visual Basic, Python, and C programming, with her pedagogy focusing on innovation and practical engagement. Beyond the classroom, she serves as Group Lead of Visual Basic and Secretary of the Center of College Computer Test in Jiangsu Province. She is also an active member of the Computer Education Supervisory Committee (MOE, Liberal Arts), Jiangsu Computer Foundation Education Committee, and the Council on East China University Computer Foundation Education. Additionally, she contributes as a judge for the National College Computer Design Competition and as a peer reviewer for CSSCI-indexed journals.

Research Interests

Prof. Jin’s research integrates education and technology, addressing critical issues such as AI-driven talent training models, programming pedagogy reform in the AI era, flipped classroom strategies, big data course design for non-computer majors, and innovations in youth IT education. She has published widely in international journals and conferences, making significant contributions to the fields of data mining, education reform, and computational thinking. Her authored teaching resources, including College Basic Computer Applications and New Visual Basic Programming, are used across universities and contribute to improving computer education nationwide.

Awards

Prof. Jin’s achievements have been recognized through numerous awards and honors. She received the prestigious First Tan Haoqiang Computer Education Fund Outstanding Teacher Award and Nanjing University’s Shilin Teaching Award, reflecting her excellence in teaching and mentorship. She has also earned multiple best paper awards and nominations at international conferences, alongside prizes for guiding student projects in national-level computer design competitions. These recognitions highlight her dual impact as both a researcher and educator.

Featured Publications

  • Jin, Y. (2024). Exploration of K12 Multi-level Information and AI Talent Training Model.

  • Jin, Y. (2024). Exploration on Teaching Content Reform of Programming Course in the Era of AI.

  • Jin, Y. (2024). A survey of research on several problems in the RoboCup3D simulation environment.

  • Jin, Y. (2023). The Role of Science and Technology Innovation Competition in Talent Cultivation and Development.

  • Jin, Y. (2022). An approach for evaluating course acceptance based on Bayesian network. Int. J. of Intelligent Internet of Things Computing.

  • Jin, Y. (2022). Design and Implementation of a Cloud-Native Platform for Financial Big Data Processing Course.

  • Jin, Y. (2022). Hierarchical and Diverse Cultivation of Data Thinking Capability in College Based on New High School Curriculum Standards.

Conclusion

By combining rigorous scholarship, innovative teaching, and impactful leadership, Prof. Jin Ying has significantly advanced computer education reform and promoted the integration of technology with pedagogy. Her interdisciplinary vision and ability to merge data-driven methods with educational practice have influenced generations of students, equipping them with computational skills essential for the digital age. Through her roles in research, teaching, academic committees, and national projects, she continues to shape the landscape of computer science education in China and beyond, fostering a forward-looking environment that bridges research, practice, and innovation.

Arjun Prakash | Social Impact | Best Researcher Award

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Mr. Arjun Prakash | Social Impact | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Arjun Prakash is an emerging scholar in labour economics and development policy, currently based at the Indian Institute of Technology (IIT) Kharagpur. Having submitted his PhD thesis and awaiting his defence, he has already demonstrated a strong research orientation and academic maturity. His scholarship is deeply rooted in understanding social structures and institutional dynamics that shape labour market outcomes in contemporary India. Arjun’s work interrogates issues of wage inequality, employment stratification, and workforce segmentation through rigorous empirical methods. With a growing publication record, conference participation across national and international venues, and involvement in teaching and peer-review processes, Arjun brings a balanced profile of research, pedagogy, and academic engagement. His academic journey reflects a commitment to social justice, empirical accuracy, and policy relevance—values that consistently underpin his intellectual contributions.

Professional Profile

ORCID

GOOGLE SCHOLAR

Education

Arjun completed his doctoral studies at the Department of Humanities and Social Sciences, IIT Kharagpur, specializing in labour market economics. His PhD research, titled Gender and Caste Disparity on Employment and Wages: Evidence from Formal Labor Markets in India, was supervised by Dr. Inder Sekhar Yadav and drew on extensive datasets and econometric techniques. Prior to this, he earned a Master of Arts in Economics from the University of Hyderabad, where he began exploring themes around inequality and structural exclusion. His foundational training in economics was acquired during his undergraduate studies at Kerala University. Through these institutions, he developed a robust understanding of economic theory, research methodology, and socio-political frameworks necessary for interpreting complex labour issues.

Experience

During his time at IIT Kharagpur, Arjun worked as a Teaching Assistant for undergraduate and postgraduate courses, including Econometrics, Public Policy, and Financial Management. In this capacity, he contributed to curriculum support, conducted tutorial sessions, clarified concepts in doubt-clearance classes, and graded student assignments. Additionally, he mentored students and helped foster analytical thinking. Beyond IIT, he also served as a Resource Person at Sree Narayana College, Kollam (affiliated with Kerala University), where he conducted a seminar on research methodology for postgraduate economics students. His experience further extends into academic peer reviewing, having evaluated manuscripts for interdisciplinary journals under the Nature Portfolio, thereby contributing to scholarly quality assurance and editorial processes.

Research Interests

Arjun’s research interests lie at the intersection of labour economics, development studies, and public policy. His work critically examines wage inequality, employment outcomes, and access disparities across gender, caste, and educational qualifications. He employs advanced econometric tools and original datasets to explore these issues, particularly within India’s formal and rapidly digitizing sectors. Additionally, he investigates how social identities and institutional frameworks affect labour market dynamics and the quality of employment. His broader research also spans human capital formation, the impact of technological change on work structures, and the role of education in shaping equitable economic development. Recent work also delves into scientometrics and gender disparities in academic publishing.

Awards and Achievements

Arjun has several notable achievements to his credit. He qualified for the UGC-NET for Assistant Professorship in December 2018. His scholarly contributions have been recognized through publications in reputable journals such as Labour & Industry, Review of Social Economy, Equality, Diversity and Inclusion, Humanities and Social Sciences Communication, and Scientometrics. His paper presentations at prominent academic forums include the American Economic Association (AEA) Annual Meeting, the Indian Statistical Institute (ISI), the India Management Research Conference (IMRC) at IIM Ahmedabad, and the Young Scholar Initiative (YSI) Festival at IIT Bombay. He has also presented at globally recognized platforms like the University of California Berkeley-Oxford Human Rights Hub Conference and the Sixth IGIDR Conversation on Research (CoRe), further affirming his engagement with both domestic and international academic communities.

Publications

Writing without Borders: AI and Cross-Cultural Convergence in Academic Writing Quality

Authors: Arjun Prakash, Shruti Aggarwal, Jeevan John Varghese, Joel John Varghese
Journal: Humanities and Social Sciences Communications
Year: 2025

Breaking Barriers or Reinforcing Stereotypes? A Comprehensive Analysis of the Gender Pay Gap and Glass Ceiling in the Indian Tech Industry

Authors: Arjun Prakash, Inder Sekhar Yadav
Journal: Labour and Industry
Year: 2025

What’s in a Name? Examining the Impact of Upper Caste Surnames on Wages and Employment in the Indian Information Technology Sector

Authors: Arjun Prakash
Journal: Equality, Diversity and Inclusion: An International Journal
Year: 2025

Disparity in Employment in India: Evidence from Engineering Graduates across Social Groups and Gender

Authors: Arjun Prakash, Inder Sekhar Yadav
Journal: Review of Social Economy
Year: 2024

Gender of Gender Studies: Examining Regional and Gender-Based Disparities in Scholarly Publications

Authors: Arjun Prakash, Jeevan John Varghese, Shruti Aggarwal
Journal: Scientometrics
Year: 2024

Conclusion

Arjun Prakash exemplifies the qualities of a socially conscious and empirically grounded economist. His academic trajectory—marked by interdisciplinary engagement, rigorous research, and impactful teaching—positions him as a valuable asset to any academic or policy-oriented institution. By focusing on critical issues such as caste, gender, and institutional exclusion in the labour market, he seeks to bridge the gap between economic theory and social justice. Arjun’s commitment to fostering data-driven policy discourse and equitable labour institutions highlights his potential as a future leader in academia and beyond. As he transitions from doctoral research to full-time academic responsibilities, he remains driven by a vision to contribute meaningfully to the transformation of labour systems and socio-economic policy landscapes.