With the advancement in next-generation molecular technology in generating the high-throughput “omics” data, life science has come to the era of “big data”. To extract biological knowledge from the data and translate it into benefits for society (e.g. better medicine and healthcare), novel and advanced computational tools are needed for data analysis. The current trends are to leverage AI and application of cognitive computing that combines domain knowledge with machine learning.
The call for paper targets contribution in the field of computational approaches designed to face the challenges aroused by biological systems. It aims at giving an overview of the cutting-edge methods and tools to address biological systems. CSBio 2021 would like to invite researchers and industrial counterparts to meet at this event to exchange ideas and stimulate research collaborations.
Topics of interest include, but are not limited to:
A Special Session on COVID-19 Health, Analytics, and Technologies (CHAT-2021) will provide an opportunity for global research linkages and experience sharing. We cordially invite researchers to submit and share their works related to COVID-19.
An example of the topics of interest is COVID-19 Infected Region Segmentation. We would like to invite researchers to tackle the problem of lung segmentation on chest X-ray images that is an important task for image analysis and computer-aided diagnosis. Examples of the dataset are
The participants are encouraged to submit a quality publication based on these datasets to CSBio 2021. The publications can be in the form of a full paper or extended paper.
Noted that other topics related to COVID-19 are welcome.
Please specify that the submission is for (COVID-19 SS) in the submission system.
Submitted papers should describe original work that does not overlap with papers that have been published or that are simultaneously submitted to a journal, conference, or workshop with refereed proceedings.
Papers should be written in English, formatted according to the ACM SIG style (sigconf template). Full papers needs to be at least 5 pages and should not exceed 10 pages and must be submitted via EasyChair system. Short papers of up to 4 pages may be considered as well as extended abstracts of up to 2 pages.
Papers must be submitted electronically as PDF files via EasyChair at
More information about the formatting of the paper can be found at
Papers must be submitted electronically as PDF files via EasyChair. The limit for submissions is 10 pages. References and appendices will not be counted in the page limit during the initial submission process.
All submissions will be peer-reviewed and subjected to single-blind review process by at least two reviewers; full submissions will be reviewed by at least three reviewers. All accepted papers must be presented at the conference via a video recording; the presenter or a representative must attend virtually at the allocated time slot for Q&A.
The CSBio 2021 proceedings will be published in electronic form by ACM ICPS, which is indexed by Scopus, ISI Web of Science, EI Compendex, and other major databases, and will be available at the ACM Digital Library.
The ISBN number assigned to CSBio2021 is 978-1-4503-8510-7.
Selected paper will be proposed for further extension and published in the Journal of Bioinformatics and Computational Biology, indexed by ISI, Scopus indexed.
Dr. David Ussery
University of Arkansas for Medical Sciences, USA
IEEE Computational Intelligence Society Thailand Chapter
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand
Biomedical Engineering Institute, Chiang Mai University, Thailand
School of Information Technology, King Mongkut's University of Technology Thonburi (KMUTT), Thailand