2020 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology.

October 27-29, 2020 – Fully virtual Conference



The IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB) has become a major technical event in the field of Computational Intelligence (CI) and its application to problems in bioinformatics, computational biology, and biomedical engineering. IEEE CIBCB 2020 provides a global forum for academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics, statistics, and engineering, to discuss and present their latest research findings from theory to applications.

Due to COVID-19, the conference has moved to FULLY VIRTUAL!

Please visit this webpage periodically for more updates.


News !

The deadline for Late-breaking abstract submission is extended to 30 July 2020.

Authors from selected papers from CIBCB2020 will be invited to submit an extended version of their papers to the Special Issue: “Selected papers from the International Conference on Computational Intelligence in Bioinformatics and Computational Biology 2020” in the journal BioSystems.



  • Special sessions proposals
    17 January 2020
    17 April 2020
  • Tutorial proposals
    21 February 2020
  • Paper submission
    1 May 2020
    15 May 2020

    3 July 2020
  • Late-breaking abstract sub.
    15 July 2020
    30 July 2020
  • Paper acceptance notification
    31 July 2020
    7 August 2020
  • Final paper submission and early registration deadline
    28 August 2020
    4 September 2020


Papers for IEEE CIBCB 2020 should be submitted electronically through the Conference website at, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. IEEE CIBCB 2020 will consider computational intelligence and general approaches applied to the following topics of interest (but are not limited to):

  • Bioinformatics
    • Evolution, phylogeny, comparative genomics
    • Gene expression array analysis
    • Metabolic pathway analysis
    • MicroRNA analysis
    • Molecular sequence alignment and analysis
    • Pattern recognition, data mining, optimization methods in Bioinformatics
    • Visualization of large biological data sets
  • Computational Biology
    • Systems and synthetic biology
    • Structure prediction and folding
    • Modelling, simulation, and optimization of biological systems
    • Biological network reconstruction, robustness, evolvability
    • Epigenomics
  • Biomedical Engineering, Bioprocessing and Healthcare Informatics
    • Medical imaging and pattern recognition
    • Biomedical data modelling, data mining, model parametrization
    • Parallel, high performance computing
    • Big data analysis and tools for biological and medical data
    • Biomarker discovery and development
    • Health data acquisition, analysis, mining
    • Healthcare information systems, knowledge representation, reasoning
    • Personalized medicine and treatment optimization
    • Biopharmaceutical manufacturing
    • Closed-loop optimization methods, platforms

Authors from selected papers from CIBCB2020 will be invited to submit an extended version of their papers to the Special Issue: “Selected papers from the International Conference on Computational Intelligence in Bioinformatics and Computational Biology 2020” in the journal BioSystems.



IEEE CIBCB 2020 will feature tutorials covering fundamental and advanced topics in computational intelligence and its application to problems within the scope of the conference. A tutorial proposal should include title, outline, enrollment, and presenter/organizer biography. Inquiries regarding tutorial proposals should be addressed to the Tutorial Chair, Wendy Ashlock, email:


Two-page abstracts describing late-breaking developments within the scope of the conference are solicited for presentation at CIBCB 2020. Abstracts will be published only on the conference website.

Late-breaking abstracts will be briefly examined for relevance and minimum standards of acceptability, but will not be peer-reviewed in detail. Authors of accepted late-breaking abstracts will individually retain copyright (and all other rights) to their late-breaking abstracts. Accepted late-breaking abstracts with no author registered by the deadline will not appear on the conference website.

Late-breaking abstracts should be of the same format as full papers (see formatting details) and submitted using the same link as full papers until the 30th of July.


The submission deadline for all Special Sessions is the same as the general conference (3 July 2020).

When submitting please select in EasyChair the corresponding special session track.


1. Candidate solutions representation and fitness landscape manipulation in bio-medical optimization

Generally, in global optimization techniques the data structures used to represent a candidate solution can be directly decoded and interpreted; hence, the best fitting individual immediately provides an explicit and human-readable description of the optimal solution. The scientific work in this field has mainly focused on the creation of novel strategies, aimed at balancing the exploration and exploitation capabilities of optimization algorithms.

Although this well established research line is very prolific—paving the way to the design of efficient algorithms even for large-scale problems—there is another promising direction that could be investigated, consisting in the modification of the search space, that is, space transformations able to dilate, shrink, stretch, collapse, filter, or remap the fitness landscape, leading to alternative or simplified formulations of the original optimization problem.

In discrete domains, a similar approach can be performed by embedding implicit or explicit assumptions into the structure of candidate solutions, so that evolutionary operators can explore the feasible search space in a “smarter” way, reducing the overall computational effort. Examples of this strategy include generative representations, methods based on grammars, single parent techniques where example genes are incorporated, and other structured representations that starkly limit the portion of the search domain examined. 

This Special Session aims at gathering the biomedical researchers who are investigating new directions and ideas in the field of candidate solutions representation, and its dual notion of fitness landscape manipulation.

Chair: Daniel A. Ashlock and Marco S. Nobile

Email: and


 2. Special Session on Computational Intelligence For Epidemiology 

The study of epidemics is of crucial importance at the current time. High-quality papers studying the use of computational intelligence, or other forms of artificial intelligence, for any aspect relating to this area are solicited. Topics of interest include, but are not limited to, the application of computational intelligence to the following:

  • Epidemic modelling
  • Epidemic models dealing with incomplete or inconsistent information
  • Treatment strategies
  • Immunology
  • Public health decision support
  • Molecular modeling for vaccines and treatment development
  • Community detection in networks
  • Pandemic management modeling for transportation and supply networks
  • Techniques for network analysis
  • Techniques for network synthesis from data
  • Intelligent management and support for contact tracing

Chair: Sheridan Houghten



2. Improving Health Outcomes through Text Analytics of Healthcare Data 

Heath care involves humans beings talking to practitioners.  Good healthcare outcomes depend on understanding these conversations.  Big Data, especially that which is unstructured, is at the heart of getting healthcare to the point were practitioners can accurately put in place a treatment regiment and ensure patient compliance.  The people in those conversations are demographically diverse, they are shaped by their age, genders, location, culture, etc. First, we need new ways of understanding those conversations.  Second, we need tools to analyse the existing data to understand how to assess correctly, gain compliance, and receive positive outcomes.  Without those tools, we cannot have an ethical perspective or pragmatically make effective policies.

Topics include but are not limited to:

  •  Text analytics/NLP applied to:

Medical conversations (doctor-patient, pharmaceutical)

Healthcare Marketing materials

Consumer pharmaceutical

Unstructured data optimization techniques

  •  Policy/Ethics:

 Ethical use of data

 Regulation and Access Rights to Data mine

Ownership of collected data

  •  Collection Methods/Data Warehouses
  • Historical Linguistics of Ethno(pharmacological, biological) data  

Chair: Joseph Alexander Brown and Christina DeCoursey

Email: and



Prospective authors are invited to submit papers of no more than eight (8) pages in IEEE conference format, including results, figures and references. Papers must be in PDF and written in English. Detailed instructions and templates for preparing your manuscripts can be found here.

At maximum, two additional pages are permitted with over-length page charge of US$100/page, to be paid during author registration.

Each paper will be peer-reviewed. Submission implies the willingness of at least one of the authors to register and present the paper at the conference.

All papers and late-breaking abstracts should be submitted via the EasyChair online submission system.


General Chair 
Gonzalo A. Ruz (Chile)

Program Chair

Richard Allmendinger (UK)

Technical Co-Chairs
Pedro Balbi de Oliveira (Brazil)
Miguel Carrasco (Chile)
Alex Di Genova (France)

María Josefina Poupin (Chile)

Publicity Chairs
Daniel Ashlock (Canada)
Sansanee Auephanwiriyakul (Thailand)
Doris Sáez (Chile)
Finance Chair
Marco Montalva (Chile)
Tutorial Chair
Wendy Ashlock (Canada)
Proceedings Chair
Sheridan Houghten (Canada)
Web Chair
Pedro Montealegre (Chile)
Special Session Chair
Joseph A. Brown (Russia)
Local Chair
Sebastián Moreno (Chile)



Registration Fees CIBCB2020 in USD
Category Early-Bird (until 4 September) Late
Member 100 150
Student member 50 75
Non-member 150 200
Student non-member 75 100
Life member 50 75


IEEE Member Rates: IEEE members can register at reduced rates. IEEE members are those holding current membership in the IEEE. Non-IEEE members are those without current membership in this organization.


Student Rates: Proof of current student status must be provided at time of registration. 

 All quantities are in US dollars.  Fees include all applicable taxes. 

Each accepted paper must be accompanied by a full (non-student) registration to be included in the proceedings. Each full registration covers a maximum of two papers (or one paper and one late-breaking abstract).

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