Soyul Han | Health Professions | Best Researcher Award

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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.

Professional Profile

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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

Mazaher Maghsoudloo | Health Professions | Best Researcher Award

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Assoc Prof Dr. Mazaher Maghsoudloo | Health Professions | Best Researcher Award🏆

Associate Professor  Doctor. Mazaher Maghsoudloo  SWMU, China 🎓

Professional Profile 

🌟Early Academic Pursuits

Mazaher Maghsoudloo embarked on his academic journey in the field of software engineering, earning his B.Sc. from Islamic Azad University in Sari, Iran, in 2003. His passion for computer science led him to pursue an M.Sc. in Computer Science at Shahid Beheshti University in Tehran, where he graduated in 2014. Driven by a keen interest in the intersection of computational methods and biological sciences, he completed his PhD in Bioinformatics from Tehran University, Kish International Campus, in 2020.

🧑‍🔬 Professional Endeavors

Mazaher has held several significant positions throughout his career, reflecting his expertise and dedication to bioinformatics and computational biology. Since 2022, he has been serving in the Department of Genetics, Faculty of Advanced Science and Technology, at Tehran Medical Sciences, Islamic Azad University, Tehran, Iran. He contributed extensively to various research projects at the Laboratory of Systems Biology & Bioinformatics from 2015 to 2022, enhancing the understanding of complex biological systems. His long tenure at The Center of Research and Training for Occupational Technical Safety and Health in Tehran, Iran, from 2008 to 2023, highlights his commitment to integrating bioinformatics with occupational health and safety research.

🔬 Contributions and Research Focus

Mazaher’s research interests span a wide array of topics in bioinformatics and computational biology, including cancer biology, molecular biology of diseases, computational systems biology, machine learning, deep learning, and drug repurposing. His notable projects include:

Investigation of gene co-expression networks in chronic lung diseases using a systems biology approach (PhD Thesis) from 2016 to 2020. Genome-wide copy number analysis of circulating tumor cells in breast cancer patients with liver metastasis (Major Cultivation Projects of Achievement Transformation in Sichuan Colleges and Universities) from 2017 to 2020. Comparative mRNA/micro-RNA co-expression network driving melanomagenesis by promoting epithelial–mesenchymal transition and vasculogenic mimicry signaling (supported by the Southwest Medical University, Sichuan Province, China) from 2019 to 2021. Treatment of malignant pleural effusion in non-small cell lung cancer with VEGF-directed therapy (supported by the Southwest Medical University and the Research Foundation of the Science and Technology Department of Sichuan Province) from 2017 to 2020.

🛠️ Expertise and Teaching

Mazaher is proficient in various programming languages, including R, Python, C#, C++, and C. He has expertise in expression data analysis using microarray and NGS, and he is well-versed in bioinformatics tools such as WGCNA, Limma, DEseq2, EdgeR, Seurat, Scanpy, Cytoscape, Keras, and Graphpad Prism. His knowledge extends to bioinformatics databases, including NCBI, TCGA, Array Express, miRwalk, Enrichr, ToppeGene, DAVID, TRRUST, STRING, DisGeNET, DriverDBv3, GEPIA2, CSCD, circBase, and circinteractome.

In addition to his research, Mazaher has imparted his knowledge through teaching various courses at several institutions. He has taught Digital Logic and Computer Design and Language Programming at the Islamic Azad University, West Tehran Branch, and Computer Application in Management and Software Testing at the Ale-Taha Institute of Higher Education.

🏅 Accolades and Recognition

Mazaher’s expertise is recognized through his role as a reviewer for prestigious international journals, including Frontiers in Molecular Biosciences, Frontiers in Immunology, Archives of Gerontology and Geriatrics, BMC Microbiology, Journal of Ophthalmic and Optometric Sciences, and the International Journal of Biophotonics & Biomedical Optics.

🌟 Impact and Influence

Mazaher has made significant contributions to the field of bioinformatics and systems biology. His research on gene co-expression networks and cancer biology has provided valuable insights into the molecular mechanisms of diseases. His work on drug repurposing and machine learning applications in bioinformatics has influenced contemporary research approaches and methodologies.

📈 Legacy and Future Contributions

Mazaher’s commitment to advancing bioinformatics and computational biology is evident in his ongoing projects and teaching endeavors. As he continues to explore new frontiers in systems biology and machine learning, his work will undoubtedly leave a lasting impact on the scientific community.

🎤 Keynote Speaker

Mazaher’s expertise has been showcased through various keynote speeches. In 2023, he spoke on drug repositioning in non-small cell lung cancer (NSCLC) using systems biology approaches at Farhikhtegan Hospital in Iran. In 2021, he discussed the identification of biomarkers in chronic lung diseases using a systems biology approach at Tabriz Azad University in Iran, and introduced systems biology and bioinformatics at Farhikhtegan Hospital in Iran.

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