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Principal Investigator:
Full Professor College of Automation Engineering, Nanjing 210016, China Address: Room 408, #2 CAE building, No.29, Jiangjun Avenue, Nanjing 211106, China Biography: Prof. Xiaofeng Song focuses on research, organizational activities, and academic development within the fields of automation and bioinformatics, specializing in transcriptomics and computational systems biology. He is a selected high-level talent under Jiangsu Province's Six Talent Peaks program. In recent years, Prof. Song has led four projects funded by the National Natural Science Foundation of China and has led more than ten provincial and ministerial-level research initiatives, including key projects under Jiangsu Province's Research and Development Program. His research output includes over 100 publications in SCI-indexed journals such as Nucleic Acids Research, Journal of Proteome Research, Journal of Medical Virology, and Genomics, Proteomics & Bioinformatics (GPB). His work has been cited more than 2,100 times, with an H-index of 23. Prof. Song holds memberships in several professional organizations. He is a board member of the Chinese Society of Bioinformatics (under formation), a committee member of the Bioinformatics and Artificial Life Specialty Committee of the Chinese Association for Artificial Intelligence, the Bioinformatics Specialty Committee of the China Computer Federation, and the Intelligent Health and Bioinformatics Specialty Committee of the Chinese Association of Automation. Additionally, he serves as the Vice President (under formation) of the Jiangsu Society of Bioinformatics. Academic titles: Member, Life Electronics Society, Chinese Institute of Electronics, Member, Medical Engineering Comittee, Chinese Medical Association; Member, Bioinformatics Committee, Jiangmsu Biomedical Engineering Society; Member, BioPhotonics Committee, Jiangsu Biomedical Engineering Society; Member, Chinese Society of Biomedical Engineering; Member, Editorial Board of “International Journal of Bio-science and Bio-technology”; Member of Program Committee, WCCI2008, IJCBS2009, I3C2009, I3C2010 ; Progam Co-chairs, BSBT2008, BSBT2009, BSBT2010 ; Reviewer, Conference in Computational Intelligence and ANN, IJCNN06～IJCNN09,ISNN06～ISNN09; Reviewer, Computers in Biology and Medicine, Chinese Science Bulletin, Journal of Southeast University, and so on.
Associate Professor Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics Nanjing 210016, China E-mail:zhaojian@nuaa.edu.cn Address: Room 406, #2 CAE building, No. 29, Jiangjun Avenue, Nanjing 211106, China Biography: Dr. Zhao studied at the Nanjing University of Aeronautics and Astronautics (NUAA) from undergraduate to doctoral degrees, and completed his PhD training in 2019. Then he carried out his postdoctoral training with Professor Bin Jiang in Control Science and Engineering at the College of Automation Engineering of NUAA. In 2023, Dr. Zhao joined the department of Biomedical Engineering of NUAA as an associate professor. He mainly focusses on developing novel bioinformatics tools & databases for studies of non-coding RNAs and their roles in human disease: Built a comprehensive database of experimentally verified internal ribosome entry sites – IRESbase. Developed a eukaryotic IRES identification tool – IRESfinder. Presented an efficient IRES identification method – DeepIRES. Built a database of alternative splicing events in circRNAs – circASbase. Proposed a method to identify small ORFs with coding ability – csORF-finder. Developed a tool for identifying novel lncRNA transcripts – lncScore. Proposed a method to identify lncRNA-associated competing triplets – LncMiM. Presented an effective algorithm to identify fusion genes – GFusion. Built a database of histidine phosphorylation proteins and sites – HisPhosSite. Proposed a method for identifying histidine phosphorylation sites – pHisPred. Awards: “333 high-level talent training project”of Jiangsu province Outstanding postdoctoral fellows of Jiangsu province Academic titles: Member, CAA Professional Committee of Intelligent Health & Bioinformatics Member, CAAI Professional Committee of Bioinformatics and Artificial Life Member, CCF Professional Committee of Bioinformatics
Associate Professor Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics Nanjing 210016, china E-mail: jjliu @nuaa.edu.cn Address: Room 410, #2 CAE building. No.29, Jiangjun Avenue, Nanjing 211106, China Biography: Jingjing Liu received a Ph.D. in Environmental Science from the Hong Kong University of Science and Technology (HKUST) in 2016. After graduating from HKUST, she joined the Henry Lam Group at the department of biological and chemical engineering at HKUST, as a postdoctoral research scientist. There, she switched her research direction to proteomics and systems biology. Dr. Liu's research interests primarily focus on: 1. Gut microbiota and colorectal cancer, 2. Omics data analysis and mining, and 3. Mass spectrometry.  Assistant Professor Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics Nanjing 210016, china E-mail: wangyixuan@nuaa.edu.cn Address: Room 408, #2 CAE building. No.29, Jiangjun Avenue, Nanjing 211106, China Biography: Dr. Yixuan Wang received her Ph.D. in Computer Science from Xi’an Jiaotong University in 2023. She is currently an Assistant Professor at the School of Automation, Nanjing University of Aeronautics and Astronautics. Her research interests encompass several areas, including biological information computing, bioinformatics, bioinformation management, and clinical decision support system. Dr. Wang has made contributions to the field of bioinformatics, including authoring more than 10 papers published in peer-reviewed SCI journals and holds three authorized invention patents, reflecting her commitment to bridging theoretical research with practical applications. With a solid foundation in both theoretical and applied research, Dr. Wang is dedicated to furthering the development of bioinformatics and computational models in healthcare, particularly in the creation of tools that support clinical decision-making and innovations in digital health. With his expertise in both bioinformatics and cancer immunotherapy, Dr. Wang is making significant strides toward improving precision medicine for cancer patients, particularly in developing comprehensive, data-driven approaches to immunotherapy decision-making. Academic Services: Program Committee Member: Reviewers for Multiple Journals: - BMC Cancer, BMC Medical Genomics, Computers in Biology and Medicine Conference Presentation: - A Statistical Explainable Learning Model Optimizing Co-localization of Multidimensional Positivity Thresholds in Immunotherapy Ddecision-supporting. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023, Istanbul, Turkiye - A Graph-based Algorithm for Estimating Clonal Haplotypes of Tumor Sample from Sequencing Data. International Conference on Intelligent Biology and Medicine (ICIBM), 2018, Los Angeles, CA, USA Fundings: [1] Principal Investigator, National Natural Science Foundation of China (No.62302215), ¥300,000, 2024 - 2026. [2] Principal Investigator, Postdoctoral Fellowship Program of CPSF (No.GZC20233494), ¥240,000, 2024 - 2025. |
