Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

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Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

Profile

Orcid

Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
If yes, we will proceed. If there’s any change or subtitle, please specify.

Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
For example:

  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
    etc.









	


	

	






	
	

		


Sumit Kumar | Data Science | Young Scientist Award
			

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🌟Dr. Sumit Kumar, Data Science, Young Scientist Award🏆




Doctorate at Banshal Alliance University, India






















































Dr. Sumit Kumar Banshal, a Bangladeshi national, is an Assistant Professor in the Department of Computer Science & Engineering at Alliance University, Bangalore, India. With a PhD in Computer Science from South Asian University, New Delhi, India, Sumit has a strong foundation in academia and research. He is fluent in Bengali, English, Hindi, and Marwari. Sumit’s academic journey has seen him hold various teaching and research positions, including stints as an Assistant Professor and Senior Lecturer at Daffodil International University in Dhaka, Bangladesh. His research interests lie in altmetrics, scientometrics, information retrieval, and text mining.


Author Metrics


Google Scholar Profile


Scopus Profile


ORCID Profile


Dr. Sumit Kumar Banshal has made significant contributions to the field of computer science, with notable metrics reflecting his impact. He has published 32 papers indexed in Scopus, accumulating over 330 citations and achieving an h-index of 12. Additionally, Sumit is actively involved in the academic community, serving as an associate editor and reviewer for prestigious journals and conferences.


Sumit’s impact and productivity as a researcher. Citations reflect how often his work has been referenced by other researchers, while the h-index measures both the productivity and impact of his published work. The i10-index indicates the number of publications with at least 10 citations. While there’s a slight decrease in metrics since 2019, Sumit’s overall career metrics demonstrate a strong and impactful research profile.


Education


Sumit completed his PhD in Computer Science from South Asian University, New Delhi, India, with a thesis titled “An Analysis of Metrics for Scholarly Articles Derived from Bibliometric and Social Media Data.” Prior to this, he earned his MSc in Computer Science from the same institution. Sumit’s educational journey also includes a BSc (Hons.) in Information & Communication Engineering from the University of Rajshahi, Bangladesh.


Research Focus


Dr. Sumit Kumar Banshal’s research primarily focuses on altmetrics, scientometrics, information retrieval, and text mining. His doctoral thesis analyzed scholarly data using traditional bibliometric methods and social media metrics, aiming to understand the relationship between conventional impact assessments and social media impact assessments. Sumit’s expertise lies in exploring credible factors for higher social media mentions about scholarly data and developing integrated tools for automated social media mention analysis.


Professional Journey


Sumit’s professional journey includes academic positions such as Assistant Professor and Senior Lecturer at Daffodil International University, Dhaka, Bangladesh, and his current role as Assistant Professor at Alliance University, Bangalore, India. He has also served as a teaching assistant and senior software developer, gaining experience in both academia and industry. Sumit’s diverse roles have contributed to his expertise in areas like data mining, web engineering, and database management systems.


Honors & Awards


Throughout his career, Dr. Sumit Kumar Banshal has received recognition for his academic achievements. He has been awarded travel support for attending prestigious international conferences and workshops, including the INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS and the Indo-German Workshop on Information Retrieval, Informetrics & Scientometrics. Sumit has also received fellowships, scholarships, and merit awards in recognition of his research and academic excellence.


Publications Noted & Contributions


Sumit has made significant contributions to the academic literature, with notable publications presented at international conferences and workshops. His research papers cover diverse topics such as sentiment classification, altmetrics, research competitiveness analysis, and characterization of research performance. Sumit’s work has been well-received and cited by peers, contributing to the advancement of knowledge in his field.


Scientometric mapping of research on ‘Big Data’


Cited By: 57


Year: 2015


Designing a Composite Index for research performance evaluation at the national or regional level: ranking Central Universities in India


Cited By: 43


Year: 2016


Research performance of Indian institutes of technology


Cited By: 40


Year: 2017


Quantifying global digital journalism research: a bibliometric landscape


Cited By: 36


Year: 2022


Research performance of central universities in India


Cited By: 34


Year: 2017


Research Timeline


Sumit’s research timeline reflects a progressive journey from his undergraduate studies to his doctoral research and beyond. He began his research journey as a senior software developer, transitioning to roles as a teaching assistant, doctoral research scholar, and ultimately an assistant professor. Along this journey, Sumit has conducted research on various topics, leading to publications, presentations, and collaborations with colleagues and institutions worldwide.


Collaborations and Projects


Dr. Sumit Kumar Banshal has collaborated with researchers and institutions globally on projects related to his research interests. His collaborations have resulted in joint publications, workshops, and conference presentations. Sumit has also supervised master’s and bachelor’s projects, fostering research skills and mentorship among students. His collaborative projects have contributed to the advancement of knowledge and innovation in the field of computer science.