hao bin yuan | Health Professions | Research Excellence Award

Assoc. Prof. Dr. hao bin yuan | Health Professions | Research Excellence Award

👤 Assoc. Prof. Dr. hao bin yuan, Macao Polytechnic University, Macau

Dr. Hao Bin Yuan, Ph.D., RN, is an Associate Professor at the School of Health Sciences and Sports, Macao Polytechnic University. With a focus on nursing education, evidence-based practice, and clinical nursing, Dr. Yuan has contributed significantly to the development of innovative nursing teaching methodologies such as problem-based learning and high-fidelity simulation. He has held key academic and clinical roles throughout his career, including serving as a Master Advisor and Assistant Program Coordinator. His research focuses on areas such as critical thinking, health behaviors, aging, and the application of simulation in nursing education. Dr. Yuan’s extensive experience in teaching, research, and academic leadership has led him to work internationally, collaborating with prestigious institutions like the University of Alberta. His work is highly recognized within the academic community, and he remains an active researcher in the areas of nursing education and evidence-based practice.

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🌟 Assoc. Prof. Dr. hao bin yuan Summary of Suitability for the Award

Dr. Hao Bin Yuan is a highly accomplished academic and researcher, making her a strong contender for the Research for Research Excellence Award. With over three decades of experience in nursing education, clinical practice, and research, her contributions are both extensive and impactful. Dr. Yuan’s educational background, which includes a Ph.D. in Nursing from Chiang Mai University and a postdoctoral fellowship at the University of Alberta, highlights her commitment to advancing nursing knowledge. Her expertise in evidence-based practice, simulation-based learning, and problem-based learning has positioned her as a leader in modern nursing education.

Dr. Yuan’s research is focused on critical and innovative areas such as chronic disease management, public health emergencies, and geriatric care, addressing global health challenges. Her extensive portfolio of funded projects, including multiple roles as the primary investigator, demonstrates her ability to lead significant research endeavors.

🎓  Education 

Dr. Hao Bin Yuan’s academic journey reflects his commitment to advancing nursing education and practice. He completed his Doctor of Philosophy (Ph.D.) in Nursing from Chiang Mai University, Thailand, where his dissertation focused on the impact of problem-based learning on nursing students’ critical thinking and academic achievement. He later pursued postdoctoral research at the University of Alberta, Canada, where he applied problem-based learning to high-fidelity simulation in nursing education. Dr. Yuan also holds a Master’s degree in Nursing Science from Chiang Mai University, Thailand, with a thesis on self-efficacy and health behaviors in myocardial infarction patients. His undergraduate studies in nursing were completed at Shanghai Medical University, China. Additionally, Dr. Yuan participated in various professional training programs, including those at the Joanna Briggs Institute in Australia and Cambridge University in the UK, further enhancing his expertise in systematic reviews and evidence-based nursing practices.

💼  Professional Experience 

Dr. Hao Bin Yuan has an extensive career in nursing education and clinical practice, marked by a strong commitment to academic excellence. Since 2008, he has served as an Associate Professor and Master Advisor at the School of Health Sciences, Macao Polytechnic University, where he teaches advanced nursing concepts, ethics, medical-surgical nursing, clinical placement, and health policy. He also contributes to the development of nursing research projects and supervises master’s students in areas such as evidence-based nursing and advanced nursing practice. Prior to his role in Macao, Dr. Yuan was an Associate Professor and Master Advisor at Fudan University, China, where he taught both undergraduate and graduate students in nursing theory, professional issues, and clinical skills. He has also held clinical roles, including Head Nurse at Tongji Hospital, Shanghai, where he was responsible for ICU and CCU health care quality. His diverse experience enriches his teaching and research endeavors.

🏅  Awards and Recognition 

Dr. Hao Bin Yuan’s work in nursing education and research has earned him numerous accolades and recognition both regionally and internationally. He has been a primary investigator and co-investigator on various research projects funded by the Macao Science and Technology Development Fund, focusing on topics like evidence-based nursing, simulation training, and the clinical preparedness of nursing students. Dr. Yuan has been recognized for his contributions to the development of nursing education through his innovative use of simulation and problem-based learning. He is also an accredited trainer for systematic reviews through the Joanna Briggs Institute. Dr. Yuan’s work on clinical skills training and the evaluation of nursing students’ competencies has made a significant impact on nursing curricula in Macao and beyond. His research on aging, chronic disease management, and public health emergencies reflects his dedication to improving healthcare outcomes and has brought him considerable recognition in the field of nursing.

🌍 Research Skills On Health Professions

Dr. Hao Bin Yuan possesses a wide range of research skills, with expertise in evidence-based practice, systematic reviews, and the application of simulation in nursing education. He is highly skilled in designing and conducting research projects that evaluate nursing education methods, such as problem-based learning, and their effects on student outcomes. His work frequently utilizes advanced research methodologies, including qualitative and quantitative analysis, to explore topics like critical thinking, self-directed learning, and the development of nursing competencies. Dr. Yuan’s experience in capacity building for public health emergencies and aged care is evident in his numerous research projects, which focus on improving healthcare quality and preparedness. He has also made significant contributions to research on chronic disease management, health behaviors, and the use of clinical simulations to enhance nursing students’ skills. Dr. Yuan’s ability to translate research into actionable strategies has made him a valuable asset in nursing education and clinical practice.

📖 Publication Top Notes

Perceived stress and prenatal depression symptoms among couples with gestational diabetes mellitus: The mediating role of dyadic coping
    • Author(s): Ding, Y., Han, R.-R., Pan, J.H., Yuan, H.B., Gao, L.-L.
    • Citation(s): 0
    • Year: 2024
Assisted reproductive technology and physical activity among Chinese pregnant women at high risk for gestational diabetes mellitus in early pregnancy: A cross-sectional study
    • Author(s): Chen, L., Deng, Y.-F., Fan, M.-Q., Meng, L.-R., Gao, L.-L.
    • Citation(s): 0
    • Year: 2024
Perspectives and experiences of community-dwelling older adults who experience falling: A qualitative meta-synthesis
    • Author(s): Jiang, H., Yuan, H., Tee, S., Lam Nogueira, O.C.B.
    • Citation(s): 2
    • Year: 2024
Nursing Students’ Views on the Formative Assessment of the Objective Structured Clinical Examination Within a High-fidelity Simulation
    • Author(s): Yuan, H.B.
    • Citation(s): 0
    • Year: 2023
Advance Care Planning Readiness for Chinese Older People: An Integrative Review and Conceptual Framework
    • Author(s): Wong, K., Yuan, H.-B., Kunaviktikul, W.
    • Citation(s): 0
    • Year: 2023
Nursing undergraduates’ experiences of a simulation-centred educational program in hospice care in Macao: A qualitative research
    • Author(s): Wang, Y., Yuan, H.
    • Citation(s): 3
    • Year: 2022
Professional Identity of Nursing Undergraduates during the Pandemic: A Focus Group Study in Macao
    • Author(s): Yuan, H.B.
    • Citation(s): 0
    • Year: 2022
Psychological experience of infected individuals during the pandemic: A qualitative meta-synthesis
    • Author(s): Bian, Y., Yuan, H., Kunaviktikul, W.
    • Citation(s): 2
    • Year: 2022
Evaluation of Nursing Undergraduates’ Performance in Patient Education within a High-Fidelity Simulation
    • Author(s): Yuan, H.B.
    • Citation(s): 0
    • Year: 2021
Evaluation of undergraduate students’ nursing assessment and communication skills through an objective structured clinical examination within a high-fidelity simulation using a student-simulated patient
    • Author(s): Yuan, H.-B.
    • Citation(s): 5
    • Year: 2021

Soyul Han | Health Professions | Best Researcher Award

Dr. Soyul Han | Health Professions | Best Researcher Award

Dr. Soyul Han, Seoul National University South, Korea

Soyul Han is a distinguished researcher specializing in data science and healthcare analytics. After completing her Ph.D. in Statistics from Chung-Ang University, Korea, she embarked on an academic and professional career focused on real-world big data applications, particularly in healthcare and medical data analysis. Soyul’s interdisciplinary expertise spans deep learning, signal processing, and big data, leading to groundbreaking contributions in heart murmur detection and voice spoofing. Her research is characterized by collaborations across various sectors, including academia and industry, with a strong emphasis on using cutting-edge technologies to enhance public health services.

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Suitability for the Research for Best Researcher Award

Soyul Han demonstrates exceptional potential for the ‘Research for Best Researcher Award’ based on her academic background, research contributions, and impactful publications. Holding a Ph.D. in Statistics from Chung-Ang University, Han has further honed her expertise through a postdoctoral position at Seoul National University and several research roles at prominent institutions. Her diverse experience, ranging from clinical research coordination to deep learning applications in healthcare, positions her as an outstanding candidate for this award.

🎓  Education

Soyul Han’s educational background is rooted in statistics, having completed her Ph.D. in 2024 at Chung-Ang University, Korea. Her dissertation, supervised by Il-Youp Kwak, explored innovative approaches to analyzing big healthcare data. She holds an M.S. in Statistics (2017) from the same institution and a B.S. in Statistics from Hannam University (2015). Her rigorous academic training, coupled with her hands-on research experience, has equipped her with the skills to develop data-driven solutions for complex healthcare problems.

💼  Professional Experience

Soyul Han has built a distinguished career in academia and industry. Currently, she is a Postdoctoral Researcher at the Institute for Data Innovation in Science, Seoul National University. Her previous roles include Research Associate in both the Admissions Office and Analysis Department at Chung-Ang University, and clinical research coordinator at the National Cancer Center. With extensive experience in deep learning and big data analytics, Soyul has contributed to numerous projects, including data-driven healthcare innovations and participation in prestigious data competitions, such as the Audio Deepfake Detection challenge.

🏅Awards and Recognition

Soyul Han’s work has been recognized internationally, with several notable awards. Her team’s success at the 2023 Audio Deepfake Detection Challenge, where they secured 3rd place, and the George B. Moody PhysioNet Challenges, where they earned recognition in two categories, highlights her expertise. Additionally, she has received recognition for her innovative contributions to healthcare data analysis, including multiple publications in high-impact journals such as Engineering Applications of Artificial Intelligence and The Korean Journal of Internal Medicine.

🌍 Research Skills

Soyul Han is skilled in statistical analysis, deep learning, and big data applications, particularly in healthcare. She has expertise in developing predictive models for heart murmur detection and voice spoofing, and has employed state-of-the-art technologies such as deep neural networks, deepfake detection systems, and data visualization techniques. Her research also involves the development of healthcare prognostic models using national insurance claims data, showcasing her ability to handle large, complex datasets and extract actionable insights.

📖 Publictaion Top Notes

Title: Low-quality fake audio detection through frequency feature masking
  • Authors: IY Kwak, S Choi, J Yang, Y Lee, S Han, S Oh
    Citation: Proceedings of the 1st International Workshop on Deepfake Detection for …
    Cited by: 13
    Year: 2022
Title: Deep learning based heart murmur detection using frequency-time domain features of heartbeat sounds
  • Authors: J Lee, T Kang, N Kim, S Han, H Won, W Gong, IY Kwak
    Citation: 2022 Computing in Cardiology (CinC) 498, 1-4
    Cited by: 12
    Year: 2022
Title: Voice spoofing detection through residual network, max feature map, and depthwise separable convolution
  • Authors: IY Kwak, S Kwag, J Lee, Y Jeon, J Hwang, HJ Choi, JH Yang, SY Han, …
    Citation: IEEE Access 11, 49140-49152
    Cited by: 11
    Year: 2023
Title: Mastering data visualization with Python: practical tips for researchers
  • Authors: S Han, IY Kwak
    Citation: Journal of Minimally Invasive Surgery 26 (4), 167
    Cited by: 9
    Year: 2023
Title: Experimental Study: Enhancing Voice Spoofing Detection Models with wav2vec 2.0
  • Authors: T Kang, S Han, S Choi, J Seo, S Chung, S Lee, S Oh, IY Kwak
    Citation: arXiv preprint arXiv:2402.17127
    Cited by: 6
    Year: 2024