Welcome to IEEE CIBCB 2022


19th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology

15-17 August, 2022 – Ottawa, ON, Canada

Important dates

Tutorial proposals

April 1, 2022


March 15, 2022

Paper submission

April 15, 2022
Ext: May 15, 2022

Short paper submission

July 15, 2022

Paper acceptance

June 15, 2022

Final submission

July 15, 2022

Keynote speakers

Jennifer HallinanBioThink

Helping Nature Find a Way: the Role of Computational Intelligence in Synthetic Biology
Synthetic biology, which involves the large-scale engineering of genomes, makes full use of bioinformatics tools and databases, for purposes such as identifying promoters, assembling newly sequenced genomes, and predicting protein-protein interactions. However, the cell is a complex system, and thus predicting and simulating the effects of changes to a genome is a non-trivial exercise. Consequently, most synthetic biology is conducted in the laboratory, and little attention is paid to concepts such as the role of fitness landscapes, which are fundamental to computational intelligence. Although deep learning has been applied in this area with considerable success, the use of approaches such as fuzzy logic and evolutionary computation is frequently overlooked. In this talk I summarize the use of computational intelligence approaches in synthetic biology, including work done in our laboratory, and discuss the future of the field.

Theodore PerkinsUniversity of Ottawa and The Ottawa Hospital Research Institute

How Gene Regulatory Dynamics Influence Network Inference
Since the sequencing of human and other genomes has become commonplace, one of the foremost problems in molecular biology has become that of decoding the regulatory circuitry that governs gene expression. While the metaphor of “circuitry” evokes a static picture, gene expression is a highly dynamic phenomenon, and those dynamics have implications for all aspects of genetic network inference. In this talk, I will highlight several results from my 20+ years of working on gene regulatory networks. I will discuss how learning differential equation models of gene regulatory systems can be recast as supervised learning, enabling rapid solution for nonlinear models, though possibly at the cost of simulation accuracy. I will present theoretical results on sample complexity of network inference from time-series, including an intriguing trade-off between sample complexity and computational complexity mediated by expression dynamics and sampling rate. Finally, I will show how dynamic phenotypes can in theory help extend the classical technique of epistasis analysis past theoretical identifiability barriers that hold for static phenotypes. While theoretical results are obtained for abstract models of gene networks, I will demonstrate practical applications in Drosophila development, yeast metabolism, and hematopoiesis.

Workshop on Computational Intelligence Tools for Bioinformatics and Computational Biology

In this workshop, participants will present software tools that they have developed. The tools must employ any form of computational intelligence and address any problem related to the main application areas of the conference. The goals of the workshop are to help make researchers aware of existing tools that they may wish to use, and to foster discussion and collaboration regarding other possible uses and enhancements for such software tools.

Participation is invited from all registered attendees of the conference. Time slots will be allocated during which the speaker will briefly describe the problem(s) to be addressed and demonstrate their software in action. Preference will be given to tools that satisfy one or more of the following:

  • Tools that are described in an unreviewed short paper at IEEE CIBCB 2022.
  • Tools that are used as part of research presented in a peer-reviewed full paper at IEEE CIBCB 2022.
  • Tools that are, or will be, made publicly available for use by other researchers, a one-paragraph description will be reviewed for suitability to the themes of IEEE CIBCB 2022.

Some limited slots may be available even if none of the above apply to the tool you wish to present. All workshop presenters must register for IEEE CIBCB 2022.

In all cases, email the organizer (shoughten@brocku.ca) if you wish to participate in this workshop, with a one-paragraph description of the tool and the paper ID (if appropriate) of the corresponding short or full paper.

Tutorials at IEEE CIBCB 2022

  • “Genetic Algorithm based feature selection and model training for biological systems,” Shandar Ahmad, India
  • “Personalised medicine: Introduction + Supply chain challenges + Optimization methods,” Andreea Avramescu, United Kingdom
  • “Multiple Worlds Model,” Joseph Brown, Canada

Organizing committee

General chairs

Daniel A. Ashlock (University of Guelph, Canada)
Sheridan Houghten (Brock University, Canada)
Gary Fogel (Natural Selection, Inc.)

Technical chair

Joseph Brown

Program chair

James Hughes (St. Francis Xavier University, Canada)

Finance chair

Gary Fogel (Natural Selection, Inc.)

Proceedings chair

Sheridan Houghten (Brock University, Canada)

Publicity chairs

Sansanee Auephanwiriyakul (Chang Mai University, Thailand)
Richard Almendinger (University of Manchester, United Kingdom)
Matthew Stoodley (University of Guelph, Canada)
Gonzalo Ruz (Universidad Adolfo Ibáñez, Chile)

Tutorial chair

Michael Dubé (University of Guelph)

Special sessions chair

Amanda Saunders (University of Guelph)

Web chair

Virtual chair

Local arrangments chairs

Marco S. Nobile (Ca’ Foscari University of Venice, Italy)

Gonzalo Ruz (Universidad Adolfo Ibáñez, Chile)

Yifeng Li (Brock University, Canada)
Alain Tchagang (Canadian National Research Council)

Topics of interest

Topics of interest include but are not limited to:

  • Analysis and visualization of large biological data sets
  • Biomedical data modelling and mining
  • Biomedical model parametrization
  • Brain computer interface
  • Ecoinformatics and applications to ecological data analysis
  • Emergent properties in complex biological systems
  • Emerging techniques in bioinformatics
  • Epidemiology and pandemic mitigation
  • Gene expression array analysis
  • Medical imaging and pattern recognition
  • Metabolic pathway analysis
  • Modelling, simulation, and optimization of biological systems
  • Molecular sequence alignment and analysis
  • Molecular evolution and phylogenetics
  • Neuromorphic integration of bio- and neuroinformatics
  • Robustness and evolvability of biological networks
  • RNA and protein folding and structure prediction
  • Structure prediction and folding
  • Systems and synthetic biology
  • Treatment optimization

Accepted Special Sessions

Legal and ethical aspects of AI systems in the biomedical field

This Special Session welcomes papers regarding any legal issue (including privacy) and ethical aspects of AI systems; in particular, we are interested in Automated Decision-Making systems (ADM), applied in the context of the biological or medical domain.

Examples include but are not limited to:

  • Explainable/Interpretable AI systems for medical decision support
  • Right of explanation and Trustworthy AI in the biomedical field
  • Biases in AI systems and debiasing techniques
  • Fair methods for data preprocessing
  • Unbiased data augmentation and privacy-preserving generative models
  • Anonymization and pseudonymization of biobanks
  • How personalized medicine through AI systems can contribute to mitigating discrimination and inequalities in health care
  • Legal and ethical issues of data collection, data cleaning, feature/variable selection, and other phases of the development
  • Ethical framework for medical AI systems
  • AI regulation proposal and AI models in biomedical research
  • Legal and ethical issues concerning the use of smart robots for surgery
  • Civil liability derived from Automated Decision Making systems in medical practice
  • Legal aspects of machine learning applied to medical imaging
  • Comparative perspectives on the above issues in different legal systems (papers exploring the legal system of under-represented countries are very welcome)

Chairs: Chiara Gallese, Elena Falletti, Simone Spolaor

E-mail: c.g.gallese.nobile@tue.nl

Candidate Solution Representation and Fitness Landscape Manipulation

This Special Session, organized within the IEEE CIS Task Force on advanced representation in biological and medical search and optimization, welcomes any paper considering all kinds of non-conventional candidate solution representation, including the dual perspective of fitness landscape manipulation, used to tackle complex problems in biomedical disciplnes. Click here for further information about the special session.

Examples include but are not limited to:

  • Non-conventional representations of candidate solutions
  • Dilation functions and other functions that reshape the fitness landscape
  • Alternative semantics for candidate solutions
  • Fitness landscape modification, simplification, and restriction
  • Novel closed variation/evolutionary operators
  • Implicit/relative representations
  • Generative or developmental representations
  • Self-adaptive representations
  • Parameterized manifolds of representations
  • State-conditioned representations
  • Procedural representations
  • Generative automata
  • Surrogate models
  • Highly interpretable representations

Chairs: Paolo Cazzaniga, Luca Manzoni, Daniele M. Papetti, Andrea Tangherloni

E-mail: andrea.tangherloni@unibg.it

Artificial Intelligence for Drug Design

Artificial intelligence is a promising approach to accelerate the drug discovery process. The aim of this special session is to solicit novel research work in machine intelligence approaches for drug discovery and provide a platform for researchers to exchange ideas and advance the field. This special session welcomes methodological contributions in the following (but not limited to) methods in addressing challenges encountered in drug design.

Examples include but are not limited to:

  • Molecular representation methods
  • Machine learning for chemical property prediction
  • Quantitative structure-activity relationship (QSAR)
  • Virtual screening
  • Protein-ligand binding affinity prediction
  • Protein-ligand docking
  • Molecular dynamics
  • Protein structure prediction
  • RNA structure prediction
  • Machine learning for molecular generation
  • Molecular optimization
  • Chemical reaction and synthesis prediction
  • Biomarker selection

Chairs: Yifeng Li, Alain Tchagang

E-mail: yli2@brocku.ca, alain.tchagang@nrc-cnrc.gc.ca

Instructions for authors

Regular papers

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 form and written in English. Detailed instructions and templates for preparing your manuscripts can be found on the IEEE website. Each paper will be peer-reviewed. Submission implies the willingness of at least one author to register and present the paper at the conference. Each registration is able to cover a maximum of two papers. Extra papers submitted by one registered author beyond the maximum of two papers per registration will incur a charge of $250 CAD per paper. Papers that are more than 8 pages in length will incur an extra length page charge of $20/page. No papers greater than 10 pages in length will be accepted.

Short papers
(will be included on the conference website but not IEEExplore)

Short papers may present preliminary findings from work in progress, industry perspectives on issues relevant to CIBCB 2022. Short papers should present and discuss a clear and focused central idea, incorporate discussion of relevant research or context, and provide references, as necessary. Short papers must adhere to the IEEE conference template and have a length of no more than two (2) pages. Papers must be in PDF and written in English. Short papers will be desk reviewed by the CIBCB 2022 organisational committee. Submission implies the willingness of at least one of the authors to register and present the paper at the conference. Short papers will be presented as a poster, or as part of a workshop or competition session

Special issue

Selected regular papers, after a substantial extension, will be considered for publication in special issue of Elsevier’s Biosystems journal. These invited papers will undergo the normal review process of the journal. The selection will be done after the conference by the conference committee and the authors will be informed if their papers are being considered for the special issue.

Registration fees

Early bird (CAD)
By July 15
Late and on-site registration (CAD)
After July 15
IEEE member $500 $600
IEEE student member $250 $300
Non member $600 $700
Student non member $350 $400
Life member $250 $300

Registration is handled through EasyChair: register to CIBCB 2022 now

Traveling information and grants

Accomodation information | IEEE CIS Travel Grants

The conference is expected to take place in person. However, a limited number of virtual sessions will also take place to accommodate participants unable to travel

For information about visiting Ottawa, including possible travel restrictions, please visit Ottawa Tourism

Further Information about visa and entering Canada


Richard Allmendinger (Richard.Allmendinger@manchester.ac.uk)

Joseph Brown (jb03hf@gmail.com)