Ms. Gege Zhang – Neurology – Best Researcher Award

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Ms. Gege Zhang – Neurology – Best Researcher Award

The Affiliated Hospital of Xuzhou Medical University – China

Author Profile

Scopus

🎓 Academic Pursuits

Ms. Gege Zhang is currently a graduate student at Xuzhou Medical University, pursuing a degree in Neurology with a specialization in cerebrovascular diseases. With a strong academic foundation, Gege is dedicated to exploring the complexities of neurological disorders, particularly those affecting the cerebral and cardiovascular arteries.

🔬 Research Focus – Cerebrovascular Diseases

Gege’s primary research area revolves around cerebral and cardiovascular artery stenosis, with a keen interest in understanding the impact of carotid artery stenosis. Through rigorous research and analysis, Gege has contributed to the field by investigating the pathophysiology, risk factors, and potential interventions for cerebrovascular conditions.

đź“Š Integration of Big Data in Neurological Research

Recognizing the transformative power of big data in modern medicine, Gege has developed a solid understanding of its application in neurological research. By leveraging advanced data analytics, Gege has helped enhance the interpretation of large-scale medical datasets, allowing for a deeper insight into disease progression, diagnosis, and treatment strategies.

✍️ Contributions to Research

Gege Zhang has played a significant role in multiple research projects, particularly in the areas of data collection and interpretation, ensuring the accuracy and reliability of findings. By meticulously analyzing vast datasets, Gege has helped uncover critical insights into cerebrovascular diseases, particularly focusing on carotid artery stenosis. In addition, Gege has contributed to formulating key viewpoints, offering innovative perspectives that enhance the understanding of these complex conditions. Through writing and structuring manuscripts, Gege has played a pivotal role in producing high-quality scientific publications, ensuring that research findings are effectively communicated to the broader medical and scientific community. This comprehensive approach has not only strengthened the overall impact of the studies but has also underscored the importance of big data in advancing neurology.

Notable Publicationđź“ť

đź“ťMultidimensional engineering of Saccharomyces cerevisiae for the efficient production of heme by exploring the cytotoxicity and tolerance of heme

Authors: Qidi Guo, Jiacun Li, Mingrui Wang, Fengqing Wang, Dongzhi Wei

Journal: Metabolic Engineering

Year: 2024

Mr. Yiwen Luo | Neuroscience and Psychiatry | Best Researcher Award

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Mr. Yiwen Luo | Neuroscience and Psychiatry | Best Researcher Award

Mr. Yiwen Luo | Shanghai Pudong New Area Mental Health Center, China

Professional Profile

Scopus

🎓 Educational Background

Yiwen Luo is currently pursuing a Ph.D. in Educational Psychology at the University of Wisconsin-Madison under the guidance of Associate Professor E.M. Hubbard. Beginning in September 2024, Yiwen’s studies focus on understanding the developmental changes in brain networks and their impact on academic outcomes, particularly in mathematics.

Previously, Yiwen earned a Bachelor of Science in Applied Psychology from the Chinese University of Hong Kong, Shenzhen (CUHKSZ), graduating in June 2024. The rigorous program covered a range of subjects, including Developmental Psychology, Educational Psychology, Cognitive Psychology, and Biological Psychology, providing a comprehensive foundation in understanding human behavior and brain mechanisms.

🧠 Research Interests

Yiwen’s research focuses on how developmental changes in brain networks underlying executive functions and attention influence academic performance. With a particular interest in mathematics, Yiwen employs longitudinal brain imaging analyses to uncover the neural mechanisms driving these changes. Currently, Yiwen is exploring how executive functions affect children’s performance in symbolic fraction arithmetic and comparison through innovative techniques like finger tracking and fNIRS (functional near-infrared spectroscopy).

🔬 Research Experience

As a Research Assistant at the Educational Neuroscience Lab at the University of Wisconsin-Madison, Yiwen has been actively involved in projects since September 2024. Yiwen uses TrajTracker for finger and mouse tracking and has gained proficiency in analyzing fNIRS data using NIRx. These tools play a crucial role in studying mathematical cognition and neural dynamics.

During a previous position as a Research Assistant at the Shanghai Pudong Mental Health Center from May to August 2023, Yiwen conducted an extensive literature review on topics such as fatigue detection in Psychomotor Vigilance Tasks, transcranial Direct Current Stimulation (tDCS), and repetitive Transcranial Magnetic Stimulation (rTMS). Yiwen also managed data collection from participants with depression through video recordings and questionnaires, while exploring instruments for measuring anhedonia and childhood depression.Additionally, Yiwen developed advanced technical skills by using MATLAB and sLORETA for EEG data preprocessing, calculating functional connectivity, and conducting Event-Related Potential (ERP) and power spectrum analysis. Yiwen also designed online questionnaires and efficiently managed data collection from depressive patients.

Publications Top Notedđź“ť

MQSearch: Image search by multi-class query

Authors: Luo, Y., Liu, W., Liu, J., Tang, X.

Journal/Conference: Conference on Human Factors in Computing Systems – Proceedings

Year: 2008

Photo and video quality evaluation: Focusing on the subject

Authors: Luo, Y., Tang, X.

Journal/Conference: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5304 LNCS (PART 3)

Year: 2008