2025 5th International Conference on Bioinformatics and Intelligent Computing (BIC 2025)

Speakers



Speakers

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Chair Prof. Ying Xu, Southern University of Science and Technology, China

IEEE Fellow, AAAS Fellow

Xu Ying, Chair Professor of School of Medicine, Southern University of Science and Technology, Distinguished Professor of the Ministry of Education, National Distinguished Expert, Computational Systems Biology and Bioinformatics Scholar. In January 2023, he joined the School of Medicine of Southern University of Science and Technology. Previously, he was the “Professor of the Board of Trustees” of the Department of Biochemistry of the University of Georgia and the “Distinguished Scholar Chair Professor of the Georgia Science Association” (2003-2022), and the first director of the Institute of Bioinformatics of the University of Georgia (2003-2011). He is AAAS Fellow and IEEE Fellow. In 1991, he received a Ph.D. in Computer Science (Combinatorial Mathematics and Algorithms) from the University of Colorado, USA. He joined the Oak Ridge National Laboratory in 1993 and worked for ten years, serving as assistant researcher, researcher, senior researcher and group leader (senior staff scientist and group leader). Initially participated in the Human Genome Sequencing Project, engaged in the implementation of computational methods and software for searching protein-coding genes in the genome. Then he engaged in the research and development of computational methods for protein tertiary structure prediction, statistical analysis of microbial genomes, metabolic system modeling and function prediction. In 2003, his research team joined the University of Georgia, established the Institute of Bioinformatics, and joined the Department of Chemistry of the University of Georgia at the same time. Since 2008, he has started to study the drivers and mechanisms of tumor occurrence, development, and metastasis through onco-omics data. He has published nearly 400 academic papers and five books, including the world’s first monograph on “Tumor Informatics”, with more than 20,000 citations and an H index of 71. Since 1995, a total of 38 postdoctoral fellows and more than 20 doctoral students have been trained, of which 19 are teaching in American research universities, and more than 20 are teaching in European, Korean and domestic universities. Since 2003, he has hosted the “International Symposium on Bioinformatics (2003-2013) and “International Symposium on Tumor Systems Biology” (2011-) in China every year, and lectured on “Bioinformatics” or “Tumor Information” every year. “Learning” summer course, attracting more than 20,000 participants.




Prof. Deshuang Huang, Eastern Institute of Technology, Ningbo, China

IEEE Fellow,IAPR Fellow,AAIA Fellow

De-Shuang Huang is a Professor, Director of Biomedical Data Mining and Computing ab, Eastern Institute of Technology, Ningbo, China. He is currently the Fellow of the IEEE (IEEE Fellow), the Fellow of the International Association of Pattern Recognition (IAPR Fellow), the Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and associated editors of IEEE/ACM Transactions on Computational Biology & Bioinformatics and IEEE Transactions on Cognitive and Developmental Systems, etc. He founded the International Conference on Intelligent Computing (ICIC) in 2005. ICIC has since been successfully held annually with him serving as General or Steering Committee Chair. He also served as the 2015 International Joint Conference on Neural Networks (IJCNN2015) General Chair, July12-17, 2015, Killarney, Ireland, the 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference (IEEE-CIBCBC) Program Committee Chair, May 21-24, 2014, Honolulu, USA. He has published over 480 papers in international journals, international conferences proceedings, and book chapters. Particularly, he has published over 260 SCI indexed papers. His Google Scholar citation number is 23867 times and H index 80. His main research interest includes neural networks, pattern recognition and bioinformatics. His main research interest includes neural networks, pattern recognition and bioinformatics. 

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