Jihwan Ha | Systems Biology | Best Researcher Award

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Prof. Jihwan Ha | Systems Biology | Best Researcher Award 

Assistant Professor, at Pukyong National University, South Korea.

Dr. Jihwan Ha is an accomplished researcher and assistant professor at Pukyong National University, Republic of Korea, specializing in bioinformatics and computational biology. With a passion for harnessing machine learning and deep learning, he focuses on developing advanced algorithms to predict miRNA-disease associations and improve biomedical data analysis. Dr. Ha has contributed to numerous international journals and conferences, earning recognition for his innovative work in bioinformatics. His professional journey includes postdoctoral research at Hawai’i Cancer Center and several faculty roles at Pukyong National University. Beyond academia, Dr. Ha is a reviewer for prestigious journals and a guest editor for special issues in Biomedicines. With a commitment to advancing the field, he inspires the next generation of data scientists through teaching courses on AI, big data, and computational systems. 🌟

Profile 

Scopus

ORCID

Education 🎓

  • Yonsei University, Seoul, Republic of Korea
    Ph.D. in Computer Science, August 2020
    Thesis: “A machine learning approach to predict miRNA-disease associations”
    Dr. Ha’s doctoral work introduced a novel framework for predicting miRNA-disease associations using graph convolutional networks, setting a benchmark in computational biology.
  • Yonsei University, Seoul, Republic of Korea
    M.S. in Computer Science, August 2015
    Building on his undergraduate foundation, he explored advanced data mining techniques, focusing on biomedical applications.
  • Pusan National University, Busan, Republic of Korea
    B.S. in Electronics Engineering, August 2013
    His undergraduate education laid the groundwork for his expertise in bioinformatics, emphasizing electronics and computational systems. 🎉

Experience 💼

  • Assistant Professor, Pukyong National University (2022–Present)
    Leads courses on big data, machine learning, and AI while supervising cutting-edge research in bioinformatics.
  • Postdoctoral Researcher, Hawai’i Cancer Center (2020–2021)
    Conducted advanced research on predictive models for cancer biomarkers, integrating multi-omics data for precision medicine.
  • Assistant Professor, Pukyong National University (2021–2022)
    Developed curriculums for data analysis and mentored students in computational biology projects.

Dr. Ha’s diverse academic and research roles demonstrate his commitment to applying computational tools for solving real-world biological problems. 🌟

Research Interests 🔬

Dr. Ha’s research bridges data science and biomedicine, focusing on:

  • Bioinformatics & Computational Biology: Leveraging AI to analyze biological data.
  • Machine Learning & Deep Learning: Developing predictive models for miRNA-disease associations.
  • Recommender Systems: Applying data mining for personalized medicine.
  • Data Mining: Extracting meaningful patterns from complex datasets.
    He aims to advance bioinformatics tools to facilitate disease diagnosis and treatment optimization. 🌱

Awards 🏆

  • Merit Academic Paper Award, Yonsei University (2020)
    Recognized for exceptional contributions to bioinformatics research.
  • Computer Science Department Scholarship, Yonsei University (2020)
    Awarded for academic excellence during doctoral studies.
  • Academic Scholarship, Pusan National University (2011–2013)
    Earned for maintaining a high GPA throughout undergraduate studies.

Dr. Ha’s achievements reflect his dedication to advancing bioinformatics and academic excellence. 🎖️

Top Noted Publications 📚

Dr. Ha has authored impactful papers in top journals. Selected works include:

  • Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association
    • Journal: Biomedicines
    • Published Year: 2025
    • Details: This paper presents a novel graph convolutional network combined with neural collaborative filtering to predict miRNA-disease associations. It emphasizes enhanced prediction accuracy by integrating graph-based data structures with collaborative filtering mechanisms.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to Biomedicines Paper
  • LncRNA Expression Profile-based Matrix Factorization for Predicting LncRNA-Disease Association
    • Journal: IEEE Access
    • Published Year: 2024
    • Details: This research introduces a matrix factorization approach leveraging LncRNA expression profiles for predicting disease associations. The model demonstrates improved scalability and prediction accuracy.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to IEEE Access Paper
  • Node2vec-based Neural Collaborative Filtering for Predicting miRNA-Disease Association
    • Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
    • Published Year: 2023
    • Details: The paper proposes a method combining Node2vec embeddings with neural collaborative filtering to predict miRNA-disease associations. The approach leverages graph-based features and collaborative learning for enhanced precision.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to IEEE/ACM TCB Paper
  • SMAP: Similarity-based Matrix Factorization Framework for Inferring miRNA-Disease Association
    • Journal: Knowledge-Based Systems
    • Published Year: 2023
    • Details: SMAP employs a similarity-based matrix factorization approach to infer miRNA-disease associations. The paper emphasizes the importance of similarity constraints in improving model performance.
    • Cited by: [To be updated based on citation databases]
    • Hyperlink: Link to Knowledge-Based Systems Paper

Conclusion

Dr. Jihwan Ha’s impressive body of work, interdisciplinary expertise, and contributions to bioinformatics and computational biology make him a strong candidate for the “Best Researcher Award.” His innovative application of machine learning to critical healthcare challenges demonstrates both academic excellence and real-world relevance. Addressing clinical impact and expanding his grant portfolio could elevate his profile further, but his current achievements already position him as an exemplary researcher deserving of recognition.

 

MAYUR DOKE | Systems Biology | Best Researcher Award

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Dr. MAYUR DOKE | Systems Biology | Best Researcher Award

Post doctoral scientists, at University of Miami, United States. 

Dr. Mayur A. Doke is an accomplished molecular biologist specializing in pancreatic plasticity and exocrine-endocrine interactions. His research leverages advanced bioinformatics and single-cell RNA sequencing to investigate tissue dynamics. With a strong foundation in molecular biology, he is recognized for his contributions to understanding complex biological processes through innovative techniques such as RNA-Seq, methylation sequencing, and calcium signaling. Dr. Doke has an impressive track record with 16 peer-reviewed publications, demonstrating his expertise in molecular biology and bioinformatics.

Profile

Scopus

Google Scholar

ORCID

Education

Dr. Doke holds a PhD in Cancer Biology from Florida International University (2013-2018), where he focused on the role of ID3 and endocrine-disrupting chemicals in proliferative vascular lesions leading to diseases such as pulmonary artery hypertension and non-small cell lung cancer. He earned his Master’s (M.Sc.) and Bachelor’s (B.Sc.) degrees in Environmental Science and Biotechnology, respectively, from Mumbai University.

Experience

Dr. Doke is currently a Postdoctoral Researcher at the Diabetes Research Institute, University of Miami, where he employs cutting-edge techniques such as single-cell RNA sequencing and pancreatic slice cultures. His prior experience includes positions at Texas A&M University and the Icahn School of Medicine at Mount Sinai, where he worked on modeling HIV neuropathology, epigenetic signatures, and RNA sequencing. His diverse skill set spans molecular biology, bioinformatics, and high-performance computing, making him a versatile researcher in his field.

Research Interests

Dr. Doke’s research interests lie in understanding the molecular underpinnings of tissue plasticity, particularly in pancreatic and brain tissues. His expertise encompasses bioinformatics, scRNA-seq analysis, epigenetics, and metabolomics, with a focus on the effects of environmental disruptors and diseases like HIV on cellular functions. He is particularly interested in the intersection of molecular biology and computational biology to uncover new insights into human disease mechanisms.

Awards

Throughout his academic journey, Dr. Doke has been recognized for his scientific contributions, receiving accolades for his research and presentations at national and international platforms. His dedication to advancing the fields of molecular biology and bioinformatics has earned him recognition from his peers and institutions alike.

Publications

Dr. Doke has published extensively in prestigious journals. His work includes:

  • Doke, M., et al. (2023). Dynamic scRNA-seq of live human pancreatic slices reveals functional endocrine cell neogenesis through an intermediate ducto-acinar stage.
    Journal: Cell Metabolism
    DOI: Not provided (please provide the exact DOI to retrieve more specific details).
    Summary: This study employs single-cell RNA sequencing (scRNA-seq) on live human pancreatic slices to uncover the process of endocrine cell neogenesis. It identifies an intermediate stage involving ducto-acinar cells, suggesting a new pathway for the formation of functional endocrine cells, which may be crucial for understanding pancreatic regeneration and diabetes.
  • Doke, M., et al. (2023). Genomic Alterations and Aberrant Molecular Pathways in Arrhythmogenic Cardiomyopathy.
    Journal: The American Journal of Cardiology
    DOI: Not provided (please provide the exact DOI for more details).
    Summary: This research explores the genetic mutations and disrupted molecular pathways that contribute to arrhythmogenic cardiomyopathy (ACM). It highlights specific genomic alterations and offers insight into the disease’s pathology, providing potential targets for therapeutic interventions.
  • Avecilla, V., Doke, M., et al. (2017). Contribution of Inhibitor of DNA Binding/Differentiation-3 and Endocrine Disrupting Chemicals to Pathophysiological Aspects of Chronic Disease.
    Journal: BioMed Research International
    DOI: Not provided (please provide the exact DOI for additional information).
    Summary: This paper investigates the role of the Inhibitor of DNA Binding/Differentiation-3 (ID3) protein and endocrine-disrupting chemicals (EDCs) in the development of chronic diseases. It suggests that ID3 and EDCs may influence gene expression and contribute to the onset of conditions such as cancer, diabetes, and cardiovascular diseases.
  • Doke, M., et al. (2020). HIV-1 Tat and cocaine impact mitochondrial epigenetics: effects on DNA methylation.
    Journal: Epigenetics
    DOI: Not provided (please provide the exact DOI for specifics).
    Summary: This study examines the combined effects of the HIV-1 Tat protein and cocaine on mitochondrial epigenetics. The findings reveal that both factors alter DNA methylation patterns, particularly in genes related to mitochondrial function, providing insights into how HIV and substance abuse may contribute to cellular damage and disease progression.

Conclusion

Dr. Mayur A. Doke’s extensive expertise in molecular biology, bioinformatics, and innovative research techniques, along with his significant publication record, makes him a highly suitable candidate for the Best Researcher Award. His ability to contribute to both foundational and applied research in areas like pancreatic biology and HIV neuropathology highlights his versatility and commitment to advancing science. Expanding his leadership in independent research projects and securing additional funding would further solidify his position as a top researcher in the scientific community.