Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series LLC LTD Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series LLC LTD : World’s leading Event Organizer


Yi-Ping Phoebe Chen

Yi-Ping Phoebe Chen

Professor and Chair
La Trobe University


Professor Yi-Ping Phoebe Chen is Professor and Chair at the Department of Computer Science and Information Technology, La Trobe University, Melbourne Australia. She was Head of Department of Department of Computer Science and Computer Engineering, La Trobe University from Sep 2010 to April 2012. Prof Chen is the Chief Investigator of ARC Centre of Excellence in Bioinformatics. Phoebe received her BInfTech degree with First Class Honours and PhD in Computer Science(Bioinformatics) from the University of Queensland. Before she joined La Trobe, Phoebe was Associate Professor (Reader) in Deakin University from Dec 2003 to April 2010. She worked as a Associate Lecturer/Lecturer/Senior Lecturer in Queensland University of Technology from Jul 1999 to Nov 2003. Professor Chen has been doing multi-discipline researches for more than 18 years. She has published over 220 research papers, many of them appeared in top journals and conferences such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Biomedical Engineering, Pattern Recognition, IEEE Transactions on Information Technology in Biomedicine, Molecular Systems Biology, Aging Cell, Nucleic Acids Research, Journal of Medical Genetics,RNA, BMC Genomics, BMC Bioinformatics, Current Drug Metabolism, Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Information Systems, SIGMOD, etc .

Research Interest

Visual and Data Analysis in Disease Diagnosis, Medical Image Analysis with Pattern Recognition, Drug Design by Visualization and Machine Learning Approach, Mining Protein and Genome Regulatory Networks using Graphic Models, Knowledge Discovery for RNA Structure and Function, Deep Learning Approach and its Applications, Speech Therapy and Data Mining