Ying Jin | Big Data Analytics | Best Researcher Awards

Published on by Research Data Analysis

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.

Gabriel Segarra – Human Factors – Best Researcher Award 

Published on by Research Data Analysis

Mr. Gabriel Segarra - Human Factors - Best Researcher Award 

Medical University of South Carolina - United States

Author Profile

Early Academic Pursuits

Mr. Gabriel C. Segarra's academic journey reflects a deep-seated passion for scientific exploration and interdisciplinary collaboration. Beginning with his Bachelor of Science in Biology from the College of Charleston, Segarra demonstrated an early commitment to understanding complex biological systems. His involvement in various research projects, such as his work on complement proteins and immune responses during his SURP Summer Researcher position at the Medical University of South Carolina (MUSC), highlights his dedication to advancing knowledge in the field.

As a Teaching Assistant in Molecular Biology Laboratory, Segarra not only enhanced his own understanding of molecular processes but also contributed to the educational development of his peers. His leadership as Principal Investigator for a NASA Space Mission Design project showcases his ability to lead multidisciplinary teams toward ambitious scientific goals, culminating in winning a design contest sponsored by NASA.

Professional Endeavors

Mr. Segarra's professional trajectory underscores his commitment to applying scientific principles to real-world challenges in healthcare. His tenure as a Research Program Assistant and subsequently as a Program Coordinator at MUSC's Embedded Human Factors and Clinical Safety Science Unit evidences his transition into a pivotal role in healthcare research. Under the mentorship of Dr. Ken Catchpole, Segarra spearheaded initiatives aimed at improving patient safety and quality of care in surgical settings.

His contributions to developing system analysis tools for sterile processing and integrating team training activities for robotic-assisted surgery underscore his hands-on approach to addressing critical issues in healthcare delivery. Segarra's ability to coordinate diverse research teams and his track record of presentations at prestigious conferences reflect his growing expertise and influence in the field.

Contributions and Research Focus

Mr. Segarra's research focuses on applying systems engineering principles to healthcare, particularly in the areas of surgical care, sterile processing, and transplant coordination. His work delves into understanding the intricate interdependencies within healthcare systems, with a keen emphasis on enhancing patient safety and quality outcomes.

His publications and presentations demonstrate a nuanced understanding of the challenges inherent in healthcare delivery and his innovative approach to addressing these challenges through rigorous research and interdisciplinary collaboration. By investigating patient safety incident reporting, reprocessing protocols, and simulation models, Segarra's research provides valuable insights that can inform policy and practice in healthcare settings.

Accolades and Recognition

Mr. Segarra's contributions have garnered recognition both within academia and the broader scientific community. His presentations at international symposiums and contributions to peer-reviewed journals reflect the esteem in which his work is held. Winning the design contest for the NASA space mission design further highlights his ability to excel in competitive environments and push the boundaries of scientific inquiry.

Impact and Influence

Mr. Segarra's work has the potential to catalyze significant advancements in healthcare delivery by bridging the gap between theoretical research and practical application. By elucidating complex interdependencies and developing innovative solutions, Segarra is poised to make a lasting impact on patient care and safety.

Legacy and Future Contributions

As Segarra continues to advance in his career, his legacy will be defined by his unwavering dedication to improving healthcare systems and outcomes. By mentoring future generations of researchers and continuing to push the boundaries of knowledge, Segarra's contributions will resonate far beyond his current endeavors, shaping the future landscape of healthcare delivery and patient safety.

Citations

A total of 342 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    342

Notable Publication

 

 

Snehashis Majhi – Computer Vision – Best Researcher Award

Published on by Research Data Analysis

Mr. Snehashis Majhi - Computer Vision - Best Researcher Award 

Institut National de Recherche en Informatique et en Automatique - France

Author Profile

Early Academic Pursuits

Mr. Snehashis Majhi embarked on his academic journey with a Bachelor of Technology in Computer Science and Engineering from the National Institute of Science and Technology, Berhampur, India. During this time, he delved into the realm of computer vision with his thesis titled "Design and Development of CBIR system using Classification Confidence," under the guidance of Dr. Jatindra Kumar Dash. This early exposure laid the foundation for his future endeavors in research and development.

Professional Endeavors

Mr. Majhi's professional journey commenced with an internship at INRIA, Sophia Antipolis Cedex BP 93, France, where he contributed to the development of a deep learning pipeline for human activity detection in smart home scenarios. This experience provided him with practical insights into real-world applications of deep learning technologies.

Following his internship, Majhi ventured into the field of glaucoma detection during his tenure as a Research Fellow at MNIT Jaipur, India. Here, he developed a deep convolutional neural network for detecting glaucoma diseases in fundus images, showcasing his versatility in applying deep learning techniques to healthcare domains.

Currently serving as a Research Scholar at INRIA Sophia Antipolis, France, Majhi's primary focus lies in developing human-scene centric video abnormality detection methods for smart-city surveillance systems. His research involves collaboration with Toyota Motor Europe and Woven Planet, demonstrating his ability to work on interdisciplinary projects with industry partners.

Contributions and Research Focus

Mr. Majhi's research contributions span various aspects of computer vision and deep learning. Noteworthy among his works is the development of the Human-Scene Network (HSN) and the Outlier-Embedded Cross Temporal Scale Transformer (OE-CTST) for video anomaly detection. These innovations address critical challenges in surveillance systems, showcasing Majhi's expertise in designing novel architectures and algorithms for complex tasks.

His research endeavors also encompass weakly-supervised learning techniques and optimization methods tailored for anomaly detection, underscoring his commitment to advancing the state-of-the-art in video analysis.

Accolades and Recognition

Mr. Majhi's contributions have been recognized through publications in reputable conferences and journals, including IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and International Conference on Neural Information Processing (ICONIP). His papers have received commendable rankings, reflecting the significance and impact of his research in the scientific community.

Impact and Influence

Through his research and academic pursuits, Mr. Majhi has made significant contributions to the fields of computer vision and machine learning. His innovative approaches to video anomaly detection have the potential to enhance surveillance systems' effectiveness, thereby contributing to the advancement of public safety and security measures.

Legacy and Future Contributions

Mr. Majhi's legacy lies in his pioneering work in video anomaly detection and deep learning applications. His research serves as a stepping stone for future advancements in smart-city surveillance, healthcare diagnostics, and beyond. As he continues his academic and professional journey, Majhi is poised to make further contributions to the field, driving innovation and addressing societal challenges through cutting-edge technologies.

Citations

  • Citations   97
  • h-index       5
  • i10-index   4

Notable Publication

 

Mukesh Kamti – Cognitive Ergonomics and Human Factors Engineering – Best Researcher Award

Published on by Research Data Analysis

Mr Mukesh Kamti - Cognitive Ergonomics and Human Factors Engineering - Best Researcher Award

Indian Institute of Management - India 

Author Profile

Early Academic Pursuits

Mukesh Kumar Kamti embarked on his academic journey with a Bachelor of Science degree in Physiology from Siliguri College, North Bengal University, in 2014. This was followed by a Master of Science in Human Physiology with a specialization in Ergonomics and Sports Physiology from Vidyasagar University, Midnapore, West Bengal, in 2016.

Professional Endeavors

Driven by a passion for Ergonomics and Human Factors, Mukesh Kumar Kamti pursued a Ph.D. in Ergonomics and Human Factors Engineering at the prestigious Indian Institute of Management Mumbai (IIMM). During his academic pursuit, he engaged in multidisciplinary research and served as a Research Assistant (RA) at the Centre of Ergonomics and Human Factors Engineering (CEHFE), IIM Mumbai, from November 2017 to November 2020. Following this, he continued his research journey as a Project Assistant (PA) at the Ergonomics Laboratory, IIM Mumbai, from May 2021 to February 2023.

Contributions and Research Focus

Mukesh's significant contributions include his Ph.D. thesis titled “Cognitive study on Three-wheeler driver to evaluate Mental states and improve driving performance.” His research expertise extends to diverse projects, such as the study on the workstation and work tools of the Terracotta Handicraft Industry, ergonomic studies at tea estates, and workplace improvements in cashew processing units. His involvement spans the entire research process, from study planning to data analysis and manuscript preparation.

Accolades and Recognition

Mukesh Kumar Kamti has been recognized for his scholarly work with publications in reputed journals, including IEEE and Transportation Research Record. Notably, his research focuses on topics such as human factors associated with self-reported aberrant behavior among autorickshaw drivers and the evolution of driver fatigue detection techniques.

Impact and Influence

His impact extends beyond academia to the industrial sector, where he has been contributing significantly as the Assistant Manager Ergonomics at Tata Steel Ltd. Since March 2023, Mukesh has been applying his expertise to enhance ergonomics practices in a corporate setting.

Legacy and Future Contributions

Mukesh Kumar Kamti's legacy lies in his commitment to advancing the field of Ergonomics and Human Factors. With a rich academic background, extensive research experience, and a role in the industry, he continues to shape the future of the discipline. His proficiency in 3D motion analysis, biomechanics, and human-computer interaction positions him as a valuable asset in both academic and industrial contexts. As he forges ahead, his dedication to excellence and innovation promises continued contributions to the field of Ergonomics and Human Factors.

Notable Publication