Ying Jin | Big Data Analytics | Best Researcher Awards

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.

Priya L – Cognitive analytics – Excellence in Innovation 

Dr Priya L - Cognitive analytics - Excellence in Innovation 

Rajalakshmi engineering college - India

Author Profile

Early Academic Pursuits

Dr. L. Priya embarked on her academic journey with a strong foundation in engineering, completing her Bachelor's in Electronics and Communication Engineering (B.E. ECE) from AVC College of Engineering, Mayiladuthurai. She further honed her expertise with a Master's in Technology (M.Tech) in Information Technology from M.I.T Campus, Anna University. Her academic pursuit reached its pinnacle with a Ph.D. in Computer Vision from Anna University, showcasing a deep commitment to advancing her knowledge in the field.

Professional Endeavors

With an illustrious career spanning 23 years, Dr. L. Priya has been a stalwart in the field of Information Technology. Since 2009, she has served as a Professor in Information Technology at Rajalakshmi Engineering College (REC). Her dedication to teaching and research is evident in her significant contributions to the academic community.

Contributions and Research Focus

Dr. Priya has made substantial contributions to the field of Computer Vision and Machine Vision. Her consultancy work, involving over 40 projects, focuses on enhancing the quality control processes using Machine Vision technologies. Noteworthy projects include advancements in areas like Smart Boat technology, tele radiology software for Private PACS, and quality inspection systems for automotive components and consumer products.

Her expertise extends to the editorial domain, where she holds positions in reputed publications, contributing to the dissemination of knowledge in the academic realm. Dr. Priya's research focus spans diverse areas such as image processing for timely detection of stemborer infection, digitally fusing traditional knowledge for promoting millets as a nutritious alternative, and various machine vision applications.

Accolades and Recognition

Dr. L. Priya's significant impact in the Information Technology field has been acknowledged through numerous accolades. She has been honored with a Lifetime Achievement Award for outstanding professional and research achievements by the Institute of Researchers, recognized by the Ministry of MSME, Govt. of India. Additionally, her Academic Excellence Award in the Aram Awards 2023 highlights her substantial contributions to industry-academia collaboration.

Legacy and Future Contributions

As a recognized authority in her field, Dr. Priya has left a lasting legacy through her role as a Governing Council Body Member in the Federation of Industry and Management Association (FIMA) and as a Lifetime Member of the Indian Society for Technical Education. Her leadership in the MSME Business Incubation Center of REC has led to the successful establishment of an Incubation Center, fostering innovation and entrepreneurship.

Looking forward, Dr. L. Priya continues to contribute to the academic and industrial landscape, with a focus on research, mentorship, and the application of cutting-edge technologies. Her commitment to excellence and innovation sets a benchmark for future generations in the field of Information Technology.

Notable Publication

 

Huan Rong | Best Researcher Award | Data Analysis Innovation

Huan Rong - Nanjing University of Information Science and Technology - Data Analysis Innovation🏆

Prof Huan Rong : Data Analysis Innovation

Professional profile:

Early Academic Pursuits:

Prof. Huan Rong embarked on his academic journey at Nanjing University of Information Science and Technology (NUIST), China. He earned his Bachelor's, Master's, and Ph.D. degrees in Computer Science from NUIST between 2009 and 2020. His academic progression demonstrated his commitment to computer science, setting the foundation for his subsequent research endeavors.

Professional Endeavors:

Following his educational journey, Prof. Huan Rong entered the professional realm by joining TrendMicro, CN as a Software Developer from 2016 to 2017. His practical experience outside academia enriched his skill set and provided a different perspective on software development and its applications.

Prof. Huan Rong then transitioned back to NUIST, initially as a Lecturer from 2020 to 2023 and subsequently as an Associate Professor from 2023 onwards. These roles marked his dedication to academia, where he delved deeper into research, mentorship, and shaping future professionals in the field of artificial intelligence.

Contributions and Research Focus:

His  contributions primarily revolve around a broad spectrum of research areas, including brain-inspired computation, data mining, deep learning, natural language processing, information security, and more. His work has been published in esteemed journals such as IEEE TKDE, ACM TKDD, and Neurocomputing, among others. His research projects, funded by notable organizations like the National Natural Science Foundation of China and the Natural Science Foundation of Jiangsu Province, emphasize the significance and impact of his work.

Accolades and Recognition:

His dedication to research and innovation has earned him various accolades and recognitions. Notably, he received the Jiangsu Province Higher Education Science and Technology Research Achievement Award for his work on social network data privacy protection and public opinion supervision in 2021. Furthermore, he was granted the title of Vice President of Science and Technology in Jiangsu Province in 2022, underscoring his influential role in the academic and technological landscape.

Impact and Influence:

With a plethora of publications and active involvement in committees like the Emotional Computing Committee of the Chinese Information Processing Society of China, Rong has made a significant impact on the academic community. His research and contributions have not only advanced the field but also influenced fellow researchers and professionals, evident from his roles as a journal reviewer for several prestigious publications.

Legacy and Future Contributions:

As Prof. Huan Rong continues his academic and research journey, his legacy is shaped by his dedication to advancing the field of artificial intelligence and its applications. His focus on brain-inspired computation, data mining, and other pivotal areas signifies his commitment to addressing contemporary challenges and pushing boundaries. Moving forward, Rong's future contributions are anticipated to further enrich the field, inspire upcoming researchers, and foster innovation in artificial intelligence and related domains.

Notable Publication:

Han Shen | Deep learning of RNA-seq big data | Best Researcher Award

Han Shen | Best Researcher Award  Winner 2023  🏆

Dr Han Shen : Deep learning of RNA-seq big data

Congratulations to Dr. Han Shen on receiving the prestigious Best Researcher Award at the International Research Data Analysis Excellence Awards! 🏆 Your groundbreaking work in deep learning of RNA-seq big data has not only pushed the boundaries of scientific discovery but has also set a new standard for excellence in research. Your dedication and innovation in unraveling the complexities of RNA-seq data have truly earned you this well-deserved recognition. Here's to your outstanding achievements and the continued impact of your contributions to the world of research!

Professional profile:

Early Academic Pursuits:

Dr. Han Shen, born on January 29, 1980, embarked on an illustrious academic journey that laid the foundation for his distinguished career. He earned his Bachelor's degree in Clinical Medicine from Wuhan University in 2001. Subsequently, he pursued an MPhil in Biochemistry and Molecular Biology at Wuhan University from 2002 to 2005. His academic pursuits culminated in a Ph.D. in Biochemistry and Molecular Biology from Southern Medical University in 2013.

Professional Endeavors:

Dr. Shen's professional journey showcases a commitment to academia and research. Starting as a Teaching Assistant at the School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, China, from 2005 to 2007, he steadily progressed to the role of Lecturer from 2007 to 2013. Since 2013, he has served as an Associate Professor at the same institution, contributing significantly to the School of Life Sciences and Biopharmaceutics.

Contributions and Research Focus:

Dr. Shen's research interests encompass diverse and cutting-edge areas in the field of life sciences. His primary focus lies in tumor biology big data analysis, deep learning research based on RNA-seq data, tumor microenvironment molecular regulatory mechanism research, and tumor immunotherapy technology research. His work has delved into understanding the molecular intricacies of cancer and developing innovative approaches to address critical challenges in the field.

Accolades and Recognition:

The recognition of Dr. Han Shen's contributions to science is exemplified by the numerous awards he has received. Notably, he was honored with the Second Prize of the Guangdong Province Science and Technology Progress Award in 2023 and the Second Prize of the Guangzhou Science and Technology Progress Award in 2017. These accolades underscore the significance of his research in advancing scientific knowledge.

Impact and Influence:

Dr. Shen's impact extends beyond awards, evident in the grants he has secured to fund pivotal research projects. Noteworthy among these is his role as Principal Investigator for projects such as the study on the mechanism of CALD1 in the formation of MDR in breast cancer and the investigation into the molecular mechanism of CCL17/CCL22 balance in regulating immune function in the tumor microenvironment.

Legacy and Future Contributions:

Dr. Han Shen has established a legacy of excellence in academia and research, marked by a dedication to unraveling the complexities of cancer biology. His work not only contributes to the current understanding of tumor biology but also paves the way for future breakthroughs in cancer research and treatment. As he continues his academic pursuits, Dr. Shen is poised to make enduring contributions to the scientific community and leave a lasting impact on the field of life sciences.

Notable publication :