Dr. Jia Liu | Team Building and Team Management| Best Researcher Award

Dr. Jia Liu | Team Building and Team Management| Best Researcher Award

Capital Center for Children’s Health, Capital Medical University, China

Author Profile

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🌱 Early Academic Pursuits

Jia Liu began her academic journey with a strong focus on medical sciences, where she pursued an M.D. in Otolaryngology Head and Neck Surgery from Beijing Anzhen Hospital, affiliated with Capital Medical University, between 2013 and 2016. Her dedication to expanding her medical expertise led her to the University of Chicago, USA, in 2015, where she gained invaluable experience as a visiting student. This international exposure enriched her understanding of advanced clinical practices and set the stage for her future career.

💼 Professional Endeavors

After completing her academic training, Jia Liu began her professional career as a resident at Beijing Anzhen Hospital from 2016 to 2019. Here, she honed her clinical skills in otolaryngology, particularly in the diagnosis and treatment of head and neck disorders. Her dedication and growing expertise earned her a position as an attending physician at the Capital Center for Children’s Health, Capital Medical University, in 2019. In this role, she has continued to provide high-quality care while also actively engaging in research, making significant contributions to pediatric otolaryngology.

🔬 Contributions and Research Focus

Jia Liu’s research is distinguished by its focus on otolaryngology, with a particular emphasis on olfactory disorders. Her notable project, funded by the Beijing Natural Science Foundation from 2019 to 2020, focused on the “Pedigree study on the molecular mapping, screening, and expression of olfactory genes for isolated congenital anosmia.” This research has advanced the understanding of the genetic basis of olfactory disorders, paving the way for improved diagnostic methods and therapeutic strategies.

🏆 Accolades and Recognition

Jia Liu’s dedication and achievements have been recognized through several prestigious awards. In 2014, she received the “Merck Clinical Scholar Award” from the American Academy of Otolaryngic Allergy (AAOA), a recognition of her early potential in the field. The following year, she was awarded a Chinese Government Scholarship from the China Scholarship Council, enabling her to study abroad at the University of Chicago. Her exceptional contributions to medical science were further acknowledged with the Beijing Medical Science and Technology Prize in 2018 and the Chinese Medical Science and Technology Prize in 2019.

🌐 Impact and Influence

Jia Liu has significantly impacted the field of otolaryngology, especially in pediatric care. Her clinical expertise and commitment to research have established her as a respected figure in her field. Her work in understanding and treating olfactory disorders has not only advanced scientific knowledge but has also improved clinical practices.

🌟 Legacy and Future Contributions

Jia Liu is poised to continue making significant contributions to otolaryngology. Her commitment to exploring the genetic basis of olfactory disorders positions her to lead future breakthroughs in the diagnosis and treatment of these conditions. As she continues her work at the Capital Center for Children’s Health, her legacy as a dedicated clinician and researcher is set to grow.

📝Notable Publications

Evaluation of brain and neurophysiologic function in isolated congenital anosmia

Author(s): Liu J, Gao X, Zhan X, Lu Y, Yao L, Yi X, Gu Q
Journal: American Journal of Otolaryngology
Year: 2025

 The effect of nasopharyngeal obstruction on the olfactory bulb volume and olfactory sulcus depth in children

Author(s): Yao L, Liu J, Xiaoli Yi, Gu Q
Journal: European Archives of Oto-Rhino-Laryngology
Year: 2024

 Analysis of clinical characteristics in the patient with olfactory disorders

Author(s): Liu J, Zhan X, Yao L, Xie H, Chang F
Journal: Journal of Clinical Otorhinolaryngology Head and Neck Surgery (Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi)
Year: 2022

Prognostic value of olfactory bulb volume in patients with post-viral olfactory dysfunction

Author(s): Guo Y, Yao L, Sun Z, Huang X, Liu J, Wei Y
Journal: Journal of Clinical Otorhinolaryngology Head and Neck Surgery (Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi)
Year: 2022

Predictors of posttreatment olfactory improvement in patients with postviral olfactory dysfunction

Author(s): Guo Y, Yao L, Sun Z, Huang X, Liu J, Wei Y
Journal: Journal of Clinical Otorhinolaryngology Head and Neck Surgery (Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi)
Year: 2021

Dr. Youming Wang | Team Building and Team Management | Best Researcher Award

Dr. Youming Wang | Team Building and Team Management | Best Researcher Award

Xi’an University of Posts and Telecommunications, China

Author Profile

Scopus

🎓 Early Academic Pursuits

Youming Wang’s journey in academia began with a strong foundation in mechanical engineering, earning his Master of Science degree from Xi’an University of Technology in 2006. His early academic endeavors reflected a growing curiosity about mechanical systems, particularly how they behave under stress, wear, and fluctuating environmental conditions. Driven by a desire to delve deeper into the intricacies of engineering systems, Wang continued his academic journey at Xi’an Jiaotong University, one of China’s most prestigious institutions, where he obtained his Ph.D. in Mechanical Engineering in 2010.

During his formative academic years, Wang developed a keen interest in the dynamic behavior of mechanical structures. His research during this period focused on laying a solid theoretical foundation in fault detection, signal processing, and vibration analysis—areas that would later define the trajectory of his career. His doctoral studies equipped him not only with rigorous technical expertise but also with a vision to address real-world mechanical challenges using cutting-edge engineering principles.

🛠️ Professional Endeavors

Following the completion of his Ph.D., Professor Youming Wang began his academic and research career at the Xi’an University of Posts and Telecommunications, where he currently serves as a full professor. In this role, he has been instrumental in shaping both the academic curriculum and research direction within the department of mechanical and electrical engineering.

His professional life is marked by a balance of scholarly excellence and practical engineering application. At the university, Wang has mentored numerous graduate students and led several projects, bridging the gap between theoretical research and industry needs. His role also includes collaboration with industrial partners to apply research in fault detection and vibration control to complex engineering systems in telecommunications and manufacturing sectors.

🔬 Contributions and Research Focus

Professor Wang’s research is centered on fault diagnosis, vibration control, and structural health management—fields that are crucial to the reliability and safety of modern mechanical systems. His work involves the development of diagnostic algorithms and predictive maintenance tools that allow engineers to detect faults in complex machinery before catastrophic failures occur.

By integrating advanced signal processing techniques, artificial intelligence, and sensor-based monitoring, Wang has contributed to the evolution of smart maintenance systems. These systems are especially important in industries where downtime due to mechanical failure can lead to significant financial losses or safety risks. His research has helped establish frameworks for real-time structural monitoring, ensuring early detection of issues in bridges, turbines, and high-precision equipment.

🏅 Accolades and Recognition

Over the years, Professor Wang has received widespread recognition for his contributions to mechanical engineering and applied diagnostics. Notably, he is a Fellow of the Chinese Communications Society, reflecting his interdisciplinary engagement with engineering and communications technologies. He is also a Director of the Fault Diagnosis Branch of the Chinese Society of Vibration Engineering, a role that underscores his leadership in advancing the field at the national level.

These distinctions highlight Wang’s professional esteem and validate the significance of his contributions to both academia and industry. His leadership roles also position him as a key figure in setting national research agendas and fostering innovation in structural health technologies.

🌏 Impact and Influence

The impact of Professor Wang’s work extends far beyond the university classroom or laboratory. His research has direct applications in several high-stakes industries, including transportation, energy, aerospace, and civil infrastructure. By enabling early fault detection and precision control, his methods help reduce maintenance costs, enhance operational safety, and extend the life span of critical assets.

Wang’s publications have influenced scholars and practitioners across the globe, contributing to a growing body of literature that blends traditional mechanical engineering with emerging digital tools such as machine learning and IoT-enabled diagnostics. His role in mentoring young researchers has also ensured the continuity and evolution of research in this vital area.

🌟 Legacy and Future Contributions

As Professor Youming Wang continues to advance in his career, his focus remains firmly on innovation and interdisciplinary integration. With the growing emphasis on smart cities, cyber-physical systems, and sustainable infrastructure, his expertise in fault diagnosis and structural health monitoring positions him to make lasting contributions to these emerging areas.

Looking ahead, Wang is likely to expand his work into AI-driven fault prediction systems, collaborative robotic diagnostics, and the development of integrated health management frameworks for next-generation infrastructure. His blend of academic rigor, technical proficiency, and visionary leadership ensures that his legacy will be marked by continued influence on both the engineering community and society at large.

An extended iterative filtering and composite multiscale fractional-order Boltzmann-Shannon interaction entropy for rolling bearing fault diagnosis

Author(s): Y. Wang (Youming), X. Wang (Xianzhi), G. Chen (Gaige)
Journal: Applied Acoustics
Year: 2025

 Res-TCEANet: An expansive attention mechanism with positional correspondence based on semi-supervised temporal convolutional network for RUL estimation

Author(s): Y. Wang (Youming), Y. Huang (Yirun)
Journal: Measurement: Journal of the International Measurement Confederation
Year: 2025

A fault diagnosis method of rolling bearings based on masking differential iterative filtering and Euclidean mixed entropy

Author(s): Y. Wang (Youming), X. Yang (Xing), S. Jiao (Shiting)
Journal: Measurement Science and Technology
Year: 2025

 A Multilevel Attitude-Aware Denoising Network for Bearing Fault Diagnosis

Author(s): Y. Wang (Youming), Y. Kang (Yezi), Y. Huang (Yirun)
Journal: IEEE Transactions on Industrial Informatics
Year: 2025

 A Fault Diagnosis Model Based on IFSS-CK-Means Algorithm for the Bolted Structure

Author(s): X. Yang (Xingdong), Y. Wang (Youming), X. Gao (Xiang), J. Tan (Jiyong)
Journal: Conference Paper
Year: (Not specified, assumed 2025 based on others)