Mr. Xiaogang Liu | Molecular Biology | Best Researcher Award

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Mr. Xiaogang Liu | Molecular Biology | Best Researcher Award

Beijing Institute of Technology, China.

Dr. Xiaogang Liu is a dedicated Lecturer at the Zhuhai Campus of Beijing Institute of Technology. With a strong foundation in Biochemistry and Molecular Biology, he specializes in Chemical Biology. His research primarily focuses on Computational Chemistry to study pH-Responsive Fluorescent Probes and develop related software. In addition to his research contributions, he is passionate about teaching and mentoring students in the areas of Molecular Biology and Immunology.

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Education 🎓

Xiaogang Liu earned his Bachelor’s Degree in Biochemistry from Shanxi University, where he laid the groundwork for his extensive studies in the fields of Biochemistry and Molecular Biology. During his time at Shanxi University, he gained a solid understanding of the core principles of biochemical processes and molecular interactions, which set the stage for his later academic pursuits. His education at Shanxi University sparked his passion for Chemical Biology, ultimately shaping his career in research and teaching.

Experience 💼

Dr. Liu has taken on multiple roles in research and academia. Currently, as a Lecturer at Beijing Institute of Technology, he actively teaches and supervises students while also conducting research in Bioinformatics and Chemical Biology. His work focuses on exploring computational methodologies to understand complex chemical systems and biological molecules.

Research Interests 🔬

Chemical Biology: Investigating pH-Responsive Fluorescent Probes

Computational Chemistry: Developing software to support chemical biology research

Bioinformatics: Exploring the intersection of biology and computing to enhance molecular biology applications
Dr. Liu's research also delves into the integration of Computational Chemistry and Chemical Biology to advance understanding in fields like fluorescence sensing, probe design, and software development.

Selected Publications 📚

Computational Chemistry Study of pH-Responsive Fluorescent Probes and Development of Supporting Software
Journal: Molecules (2025), Volume: 30(2), Article 273
Contributors: Xiaogang Liu

Large Scale Virtual Screening for Finding Inhibitor against the RNA-dependent RNA Polymerase from Herbal Medicine for SARS-Cov-2 Therapy
Proceedings of the 11th International Conference on Biomedical Engineering and Bioinformatics (2022)
Contributors: Xiaogang Liu, Zirong Liang, Shiye Wu, Ying Wang, Binquan Gou

Virtual Screening for Finding Inhibitor Against the Main Protease of SARS-Cov-2 from the FDA-Approved Drugs Database
International Conference on Biomedical and Intelligent Systems (IC-BIS 2022) (2022-12-06)
Contributors: Xiaogang Liu, Shiye Wu, Zitong Zhu, Ying Wang, Binquan Gou

Teaching Reform and Application of Cell Biology in Bioengineering Specialty
Science & Technology Information (2021-12-13)
Contributors: Xiaogang Liu

 

 

Prof. Junyu Zhou | Medical and Prevention | Young Scientist Award

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Prof. Junyu Zhou | Medical and Prevention | Young Scientist Award

Peking University, China.

Prof. Junyu Zhou is a pioneering researcher in nutritional genomics, metabolic disorders, and personalized medicine. He leverages bioinformatics, computational biology, and experimental approaches to explore gene-diet interactions, focusing on Asian populations. His innovative work includes developing AI models for bioactive compound prediction and uncovering gut microbiota's role in metabolic health. Junyu's recent research extends to natural compound discovery for neurodegenerative diseases, emphasizing computational screening with advanced AI techniques.

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Education 🎓

Junyu Zhou holds advanced degrees in fields related to nutritional genomics and computational biology. His academic training provides a strong foundation for his cutting-edge research in metabolic disorders and personalized medicine.

Experience 💼

As an Assistant Researcher at Peking University, Junyu Zhou has led and collaborated on multiple groundbreaking projects. His experience spans computational modeling, experimental validations, and interdisciplinary collaborations with global research teams in metabolic diseases and nutritional genomics.

Research Interests 🔬

Nutritional Genomics 🧬

Junyu Zhou investigates gene-diet interactions to understand how genetic variations influence nutritional responses, particularly in Asian populations. His work aims to develop personalized dietary recommendations to improve health outcomes.

Metabolic Diseases 🩺

Focusing on conditions such as diabetes and obesity, Junyu studies the underlying mechanisms of metabolic disorders. His research integrates genetics and gut microbiota to unveil new therapeutic targets.

Computational Biology & Bioinformatics 💻

Junyu applies advanced computational tools to analyze genetic data and predict drug-target interactions. His expertise in bioinformatics helps bridge data science and biology for innovative discoveries.

Gut Microbiota 🌱

Exploring the role of gut microbiota in metabolic health, Junyu's research uncovers microbial contributions to diseases and identifies probiotic strategies for improved metabolic functions.

Natural Product Research 🌿

Junyu's work includes computational screening of natural compounds, focusing on their potential to treat diseases such as Alzheimer's and neurodegenerative disorders.

Personalized Medicine 🩹

By integrating genomics and computational biology, Junyu develops precision healthcare approaches, tailoring interventions to individual genetic and metabolic profiles.

Machine Learning in Drug Discovery 🤖

Junyu employs AI-driven techniques to streamline drug discovery processes. His work includes predictive models for bioactive compounds, enhancing efficiency in identifying new therapeutic agents.

Publications Top Notes 📚

Microbial Dysbiosis Linked to Metabolic Dysfunction-Associated Fatty Liver Disease in Asians: Prevotella copri Promotes Lipopolysaccharide Biosynthesis and Network Instability in the Prevotella Enterotype, Published in: International Journal of Molecular Sciences, 2024, Contributors: Yuan, H.; Wu, X.; Wang, X.; Zhou, J.-Y.; Park, S. Link

Predicting structure-targeted food bioactive compounds for middle-aged and elderly Asians with myocardial infarction: insights from genetic variations and bioinformatics-integrated deep learning analysis, Published in: Food & Function, 2024, Contributors: Junyu Zhou; Heng Yuan; Sunmin Park. Link

Association of Metabolic Diseases and Moderate Fat Intake with Myocardial Infarction Risk, Published in: Nutrients, December 11, 2024, Contributors: Junyu Zhou; Meiling Liu; Sunmin Park. Link

 

 

 

 

 

 

 

 

 

 

 

 

Xiaochun Li | Biomedical | Best Researcher Award

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Prof Dr. Xiaochun Li | Biomedical | Best Researcher Award

Associate Dean, Taiyuan University of Technology, China

Dr. Xiaochun Li is a Professor at the Department of Biomedical Engineering, TaiYuan University of Technology, Shanxi, China. With an extensive background in biomedical sensors and analytical chemistry, Dr. Li has made significant contributions to the field through innovative research and teaching. He has received multiple awards for his work, including the Second Prize of the Shanxi Provincial Natural Science Award and recognition as the “2021 Annual Science and Technology Innovation Person.” His research focuses on developing cutting-edge technologies for disease diagnosis and public health.

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Education 🎓

Dr. Xiaochun Li earned his Ph.D. in Biomedical Engineering, specializing in analytical chemistry and sensor technology. His educational journey laid a strong foundation for his future research and academic career, leading to his current position as a professor at TaiYuan University of Technology.

Experience 🧑‍🏫

Professor, TaiYuan University of Technology, Shanxi, China (2014-present): Leading research in biomedical sensors and analytical chemistry.

Associate Professor, TaiYuan University of Technology, Shanxi, China (2009-2014): Conducted advanced research and taught various courses.

Assistant Professor, TaiYuan University of Technology, Shanxi, China (2007-2009): Initiated his academic career, focusing on innovative research in biomedical engineering.

Research Interests 🔬

Dr. Xiaochun Li’s research interests encompass the development of biomedical sensors, optical fluorescence detection technologies, and AI-enhanced biochemical sensing. His work is particularly focused on creating innovative diagnostic tools for early disease detection and public health applications.

Awards 🏆

Second Prize of Shanxi Provincial Natural Science Award (2022)

Outstanding Science and Technology Worker of China Society of Electronics (2019)

Silver Prize of National Science and Technology Workers’ Innovation and Entrepreneurship Competition (2016)

Young Outstanding Talents of Shanxi Province “Three Jin Talents” (2018)

2021 Annual Science and Technology Innovation Person (2022)

Publications Top Notes 📚

Zhang, L. L., Xu, P. T., Li, X. C., Yang, Z. H., Yu, H.-Z.. (2024). Blu-ray disc technology-enabled portable imaging system for immunoassay quantitation. Sens. Actuat. B-Chem., 419, 136376. Cited by 15 articles. link

Wang, C. X., Deng, R., Li, H. Q., Liu, Z. G., Niu, X. F., Li, X. C.. (2024). An integrated magnetic separation enzyme-linked colorimetric sensing platform for field detection of Escherichia coli O157: H7 in food. Microchimica Acta, 191, 454. Cited by 10 articles. link

Li, H. Q., Xu, H., Li, Y. L., Li, X. C.*. (2024). Application of artificial intelligence (AI)-enhanced biochemical sensing in molecular diagnosis and imaging analysis: Advancing and challenges. Trac-Trend. Anal. Chem., 174, 117700. Cited by 12 articles. link