Prof. Dr. Feng Tian, Hebei University of Engineering, China
Dr. Feng Tian, Ph.D., is a distinguished Professor of Bioinformatics and Medical Data Science at the School of Medicine, Hebei University of Engineering. With over two decades of academic and research excellence, Dr. Tian has established himself as a pioneer in integrating artificial intelligence, bioinformatics, and public health data science. His interdisciplinary expertise drives cutting-edge solutions across clinical diagnostics, multi-omics research, and emergency medical services.
Profile
Scopus
🎓 Early Academic Pursuits
Dr. Tian earned both his Bachelor’s degree in Biology and his Ph.D. in Bioinformatics from the prestigious Tsinghua University in Beijing, one of China’s top academic institutions. During this period (2000–2009), he demonstrated exceptional promise in computational biology and systems genomics. His doctoral research laid the groundwork for his later contributions to regulatory network analysis and transcription factor dynamics.
👨🏫 Professional Endeavors
Dr. Tian has held the position of Professor at Hebei University of Engineering since 2021. His international outlook is marked by his tenure as a Visiting Scholar at the National Center for Data Mining, University of Illinois at Chicago (UIC), where he collaborated with globally recognized experts in biomedical informatics. He has also played a crucial role in establishing the Hebei Key Laboratory of Medical Data Science, fostering innovation at the intersection of AI and health sciences.
🔬 Contributions and Research Focus
Dr. Tian’s primary research interests include:
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Artificial Intelligence in Health Big Data: Developing intelligent systems for disease prediction, emergency triage, and resource allocation.
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Multi-Omics Data Integration: Focused on molecular subtyping and MRD detection in Acute Lymphoblastic Leukemia (ALL) using transcriptomic and epigenomic data.
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Bioinformatics Platforms: Architecting data analysis systems such as miRAS and FlyNet, enabling high-throughput genomic data processing.
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Public Health Policy Research: Evaluating healthcare accessibility and the impact of localized health interventions like the Handan “Health Cabins” model.
🌍 Impact and Influence
Dr. Tian has co-authored high-impact publications in Nature Communications, Haematologica, Advanced Science, and Bioinformatics, reflecting his global academic stature. His work has significantly advanced our understanding of ALL pathogenesis, and informed AI-based clinical workflows in China. As Principal Investigator on several multi-disciplinary projects, he has bridged the gap between academic research and real-world healthcare applications.
📊 Academic Citations
Dr. Tian’s publications have garnered substantial academic citations, particularly in areas involving gene regulatory networks, deep learning for medical text, and multi-omics disease characterization. His 2024 and 2025 papers on glucocorticoid response in leukemia and tumorigenic profiling of adrenal incidentalomas are already becoming cornerstone references in the field.
🧠 Research Skills
Dr. Tian is highly proficient in:
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AI and Deep Learning for medical NLP and classification tasks.
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Multi-omics Data Analysis, including single-cell transcriptomics and epigenetic landscape mapping.
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Spatial Data Modeling for evaluating healthcare accessibility using probabilistic algorithms.
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Cross-species genomic comparison and graph-based regulatory modeling.
These technical proficiencies underscore his rare ability to combine computational rigor with biomedical relevance.
🎓 Teaching Experience
Although his profile focuses largely on research, as a university professor, Dr. Tian contributes to the training of graduate students, supervising research projects, and likely guiding Ph.D. candidates in bioinformatics and medical data science. Expanding documentation of his mentorship impact would further highlight his academic leadership.
🏆 Awards and Honors
Dr. Tian has been the recipient of numerous national and provincial awards, including:
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🥇 First Prize, Hebei Provincial Science and Technology Progress Award (2024)
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🥈 Second Prize, Invention and Entrepreneurship Achievement Award, China Association of Inventions (2024)
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🥇 First Prize, Hebei Medical Science and Technology Award (2021)
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🥉 Third Prize, Outstanding Achievement Award in Social Sciences (2024)
These accolades validate the real-world impact and innovation of his work, both technically and socially.
🧾 Patents and Software Copyrights
Dr. Tian has secured 22 patents and software copyrights, including:
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A patented Prehospital Emergency Information Processing Device (2021)
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A method for AI-driven Emergency Text Classification using ChatGLM (2024)
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A patented Site Selection Model for Emergency Medical Stations (2025)
These innovative tools have applications in emergency response, healthcare infrastructure planning, and medical informatics.
🌟 Legacy and Future Contributions
Dr. Tian is building a legacy of translational research and technological innovation. His future contributions are likely to further:
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Shape AI-powered healthcare delivery models in China and abroad.
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Deepen the understanding of cancer genomics through multi-omics research.
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Influence healthcare policy through data-driven evaluations of public health programs.
As a leader in medical AI and public health informatics, he is poised to play a key role in addressing global healthcare challenges through data science and precision medicine.
Top Publications
miRAS: a data processing system for miRNA expression profiling study
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Authors: Tian F, Zhang H, Zhang X, Song C, Xia Y, Wu Y, Liu X
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Journal: BMC Bioinformatics
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Year: 2007
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Citation: BMC Bioinformatics. 2007 Aug 4;8(1):285.
A new single nucleotide polymorphism genotyping method based on gap ligase chain reaction and a microsphere detection assay
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Authors: Tian F, Wu Y, Zhou Y, Liu X, Visvikis-Siest S, Xia Y
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Journal: Clinical Chemistry and Laboratory Medicine (Clin Chem Lab Med)
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Year: 2008
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Citation: Clin Chem Lab Med. 2008;46(4):486-9.
A graph model based study on regulatory impacts of transcription factors of Drosophila melanogaster and comparison across species
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Authors: Tian F, Chen J, Bao S, Shi L, Liu X, Grossman RL
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Journal: Biochemical and Biophysical Research Communications (Biochem Biophys Res Commun)
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Year: 2009
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Citation: Biochem Biophys Res Commun. 2009 Sep 4;386(4):559-62.
Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks
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Authors: Tian F*, Shah PK*, Liu X, Negre N, Chen J, Karpenko O, White KP, Grossman RL
(*Shared first authorship indicated)
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Journal: Bioinformatics
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Year: 2009
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Citation: Bioinformatics. 2009 Nov 15;25(22):3001-4.
DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification
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Authors: Zhang X, Zhang H, Sheng L, Tian F*
(*Tian F listed as senior/last author)
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Journal: IEEE Access
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Year: 2022
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Citation: IEEE Access, vol. 10, pp. 64638-64649, 2022.
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DOI: 10.1109/ACCESS.2022.3179685