Haoqiang Sun | Systems Neuroscience | Best Researcher Award

Dr. Haoqiang Sun | Systems Neuroscience | Best Researcher Award

Dr. Haoqiang Sun, Xi’an Jiaotong University, School of Management, China.

Haoqiang Sun is an emerging scholar in Management Science and Engineering, currently pursuing his Ph.D. at Xi’an Jiaotong University, where he is exploring multimodal big data analysis and user-generated content. His academic journey began with a Bachelor’s degree in Information and Computing Science, followed by a Master’s in Resources and Environment. Throughout his studies, Haoqiang has demonstrated a keen interest in data analysis, which has led to his current focus on practical applications in tourism and business. In addition to his research, he serves as a teaching assistant, mentoring students in advanced statistical analysis. His work is funded by prominent national programs, highlighting his potential to make significant contributions to his field.

Profile

Google Scholar

Early Academic Pursuits 🎓

Haoqiang Sun’s academic journey began with a focus on Information and Computing Science, completing his Bachelor’s degree at Xi’an University of Science and Technology, where he achieved a GPA of 2.71/4.00 from 2016 to 2020. His early years as a student laid a strong foundation for his future research in management science and engineering, particularly in data analysis. During his time at Xi’an University, he honed his skills in data processing and computation, which would later shape his research trajectory. His academic curiosity and passion for problem-solving were evident as he progressed into his Master’s studies, earning an M.Sc. in Resources and Environment with a GPA of 3.07/4.00 from 2020 to 2023. These formative years provided him with a solid background in multidisciplinary studies, which were crucial in his later exploration of multimodal data analysis.

Academic Pursuits in Management Science and Engineering 📊

Currently, Haoqiang is a Ph.D. student at Xi’an Jiaotong University, specializing in Management Science and Engineering. Since September 2023, he has been working under the guidance of Professor Shaolong Sun, with an expected completion date of December 2026. His research interests focus on multimodal big data analysis and user-generated content, reflecting a deep interest in understanding the dynamics of digital data in real-world applications. Haoqiang’s academic performance is notable, with a GPA of 3.56/4.00, illustrating his dedication to mastering the complexities of management science. His ongoing research aims to bridge the gap between big data analytics and practical business applications, positioning him as a promising scholar in his field.

Professional Endeavors and Research Contributions 💼

Haoqiang Sun’s professional journey has been marked by his roles as both a researcher and a teaching assistant. As a research assistant at Xi’an Jiaotong University, he has been contributing to significant projects funded by both the National Key R&D Program for Young Scientists and the National Nature Science Foundation. His primary responsibilities involve literature reviews, data collection, and academic writing. These experiences allow him to explore cutting-edge research in multimodal big data analysis, particularly focusing on tourism-related data. Additionally, Haoqiang leads a research project, Multi-modal Data Mining and Analysis of Tourist Attractions (2025–2026), where he is tasked with applying data analytics to understand tourist demand at Xi’an’s popular tourist sites.

Teaching and Mentorship 🎓

In addition to his research, Haoqiang is also committed to the academic development of others. He serves as a full-time teaching assistant for the course Advanced Statistical Analysis at Xi’an Jiaotong University, a role he started in September 2024. As a teaching assistant, Haoqiang provides guidance on study strategies, addresses student queries, and helps foster a deeper understanding of statistical concepts. His work in this capacity reflects his passion for knowledge sharing and his dedication to helping fellow students navigate the complexities of advanced statistical methods, demonstrating his teaching aptitude and communication skills.

Research Focus and Innovation 🔍

Haoqiang’s research focuses on the intersection of multimodal big data analysis and user-generated content. His work is particularly relevant in today’s digital age, where vast amounts of data are produced by online users, and understanding these data flows can lead to meaningful insights for businesses and policymakers alike. His work in tourism, especially in analyzing tourist demand through multimodal data, demonstrates the practical applications of his research. By integrating data from multiple sources, including social media, reviews, and online platforms, Haoqiang seeks to optimize user experiences and improve decision-making processes in various sectors.

Accolades and Recognition 🏆

Despite being early in his academic career, Haoqiang has already earned recognition for his academic achievements. His research contributions, particularly in the realm of data analytics and management science, have positioned him as an emerging scholar with great potential. His supervisor, Professor Shaolong Sun, has commended his work for its rigor and innovation. Haoqiang’s research has been well-received in academic circles, and his involvement in prestigious projects funded by national scientific programs speaks to the quality and relevance of his work.

Future Contributions and Legacy 🌟

Looking ahead, Haoqiang Sun is poised to make significant contributions to the fields of data analysis and management science. His current research, which applies multimodal big data techniques to tourism and user-generated content, is just the beginning of what promises to be a fruitful academic career. Haoqiang’s work has the potential to influence not only the academic community but also industries like tourism, marketing, and data science, where insights into consumer behavior and user interactions are critical. As he continues to explore new methodologies and applications in data analytics, Haoqiang aims to leave a lasting legacy of innovation, bridging the gap between theory and practice in management science.

Publication

 

  • Experimental study on mechanical damage characteristics of water-bearing tar-rich coal under microwave radiation
    Authors: P Yang, P Shan, H Xu, J Chen, Z Li, H Sun
    Year: 2024

 

  • Numerical method for predicting and evaluating the stability of section coal pillars in underground longwall mining
    Authors: P Shan, H Sun, X Lai, J Dai, J Gao, P Yang, W Li, C Li, C Yan
    Year: 2022

 

  • Experiment on accurate identification of thermal image of coal-gangue mixture under a simulated dusky and wet condition
    Authors: SUNH SHAN Pengfei, LI Chenwei, LAI Xingping
    Year: 2024

 

  • Coal-rock interface perception and accurate recognition in heading face under coal dust environment based on machine vision
    Authors: Y ZHANG, L TONG, X LAI, S CAO, B YAN, Y LIU, H SUN, Y YANG, W HE
    Year: 2024

 

  • Evaluation of real-time perception of deformation state of host rocks in coal mine roadways in dusty environment
    Authors: P Shan, C Yan, X Lai, H Sun, C Li, X Chen
    Year: 2023

 

  • Let pictures speak: hotel selection-recommendation method with cognitive image attribute-enhanced knowledge graphs
    Authors: H Sun, H Xu, J Wu, S Sun, S Wang
    Year: 2024

 

  • Beyond Visual Appeal: The Impact of Multisensory Experience of Hotel Marketing and Review Images on Sales
    Authors: H Sun, H Xu, S Sun, H Li, S Wang
    Year: 2025

 

  • A research study of lightweight state perception algorithm based on improved YOLOv5s‐Tiny for fully mechanized top‐coal caving mining
    Authors: PF Shan, T Yang, XC Wu, HQ Sun
    Year: 2024

 

  • Mechanism of short-wall block backfill water-preserved mining based on water-conducting fractures development-heavy metal ions migration
    Authors: Y ZHANG, Y LIU, X LAI, T SONG, L ZHANG, H SUN, P WAN, R ZHAN
    Year: 2023

 

Conclusion

Haoqiang Sun’s academic and professional pursuits reflect his dedication to advancing the field of management science through the innovative use of big data analysis. With a strong foundation in both technical and applied research, he is well-positioned to impact industries like tourism, marketing, and business analytics. As he continues to develop his expertise, Haoqiang’s future contributions are expected to bridge the gap between theoretical research and practical applications, leaving a lasting influence on both academia and industry. His passion for research and teaching further ensures that his academic legacy will inspire future generations of scholars and professionals.

 

linlin zhang | physical exercise promote cognition | Best Researcher Award

Dr. Linlin Zhang | physical exercise promote cognition | Best Researcher Award

Dr. linlin zhang, henan normal universoty, China.

Zhang Linlin is a dedicated researcher and educator whose academic journey spans from a strong foundation in physical education to a specialized focus on exercise physiology and neurobiology. Through her undergraduate, master’s, and Ph.D. studies, she has cultivated expertise in the physiological and neurological effects of exercise, particularly in relation to cognitive function and neurodegenerative diseases. Her professional career at Henan Normal University has allowed her to further develop her research while inspiring the next generation of scholars. With an impressive portfolio of publications and accolades, her contributions to the field have significantly enhanced the understanding of exercise as a therapeutic tool for brain health.

Profile

Scopus

✨ Early Academic Pursuits ✨

Zhang Linlin’s journey in academia began with a strong passion for physical education and human science. She pursued her undergraduate studies at Luoyang Normal University, Henan Province, where she earned a degree in Physical Education (2011-2015). This foundational phase allowed her to explore key disciplines such as pedagogy, sports anatomy, and exercise physiology, shaping her understanding of the intricate relationship between physical activity and human health. Fuelled by a desire to deepen her expertise, she continued her education at the Capital Institute of Physical Education (2015-2018), specializing in Sports Human Science for her master’s degree. Here, she refined her knowledge of sports training, rehabilitation, and neurophysiology, setting the stage for her future research endeavors.

🔬 Professional Endeavors 🔬

Zhang Linlin’s commitment to academic excellence led her to pursue a Ph.D. in Sports Human Science at Fujian Normal University (2019-2022), where she engaged in cutting-edge research on exercise physiology and neurobiology. Her doctoral studies provided her with hands-on experience in experimental techniques such as brain localization, microdialysis sampling, Western Blot analysis, and ELISA, equipping her with a robust scientific skillset. Upon completing her Ph.D., she secured a teaching and research position at the School of Physical Education, Henan Normal University (2022-Present), where she continues to inspire students while advancing her research on the intersection of exercise and brain health.

🌍 Contributions and Research Focus 🌍

A central theme in Zhang Linlin’s research is understanding how physical exercise influences brain health, particularly in neurodegenerative and cognitive disorders. She has extensively studied the effects of treadmill exercise and wheel running on synaptic plasticity, neuroinflammation, and neurotransmitter modulation in models of vascular dementia and Alzheimer’s disease. Her work has unveiled critical insights into the neuroprotective mechanisms of exercise, demonstrating its role in enhancing recognition memory, reducing microglial activation, and preserving dopamine and serotonin levels in the brain. By integrating molecular biology and behavioral neuroscience, her research bridges the gap between exercise physiology and neurobiological health.

🌟 Accolades and Recognition 🌟

Zhang Linlin’s outstanding contributions to her field have earned her numerous prestigious awards. She was honored with the Outstanding Graduate Thesis Award in 2022, reflecting the high impact and quality of her research. Additionally, she secured first-class scholarships for graduate students in both 2020-2021 and 2021-2022, a testament to her academic excellence and dedication. In recognition of her potential, she was also selected for the Outstanding Doctoral Dissertation Cultivation Project in 2020, further solidifying her position as a leading researcher in exercise neurobiology.

📚 Impact and Influence 📚

With an impressive publication record, Zhang Linlin has significantly contributed to the scientific community. As the first author, she has published five influential papers, including one SSCI paper, three SCI papers, and one paper in a domestic authoritative core journal. Her research has appeared in prestigious journals such as Scientific Reports, Physiology & Behavior, and Behavioural Brain Research, gaining recognition for its novel findings on exercise-induced neuroprotection. Additionally, she has co-authored multiple studies and played a key role in editing the book Exercise and Health, further extending her impact on the academic and professional domains.

🤖 Legacy and Future Contributions 🤖

Zhang Linlin envisions a future where exercise is widely recognized as a powerful intervention for cognitive and neurological disorders. She aims to continue her research on the molecular pathways through which physical activity enhances brain function, with the goal of translating her findings into clinical applications. By mentoring the next generation of scholars and collaborating with interdisciplinary experts, she seeks to further expand the understanding of exercise physiology in neurological health. Her unwavering dedication to science and education ensures that her legacy will inspire future researchers and health professionals in the pursuit of knowledge and well-being.

 

publication

Title: Treadmill exercise pretreatment ameliorated structural synaptic plasticity impairments of medial prefrontal cortex in vascular dementia rat and improved recognition memory

Authors: L. Zhang, Y. Chen, Y. Fan, L. Shi

Year: 2024

🎯 Conclusion 🎯

Zhang Linlin’s research bridges the gap between physical activity and neurobiological health, providing valuable insights into the protective effects of exercise on cognition and neurological disorders. Her work not only advances scientific knowledge but also holds promise for real-world applications in disease prevention and rehabilitation. With a strong commitment to education, research, and innovation, she continues to pave the way for future advancements in exercise neuroscience. As she moves forward in her career, her legacy will undoubtedly inspire further exploration into the powerful connection between movement and brain health.