Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering
Conference dates: June 10th to 13th 2019
Paper submission deadline: January 7th 2019
Wellington, New Zealand
Joseph A. Brown
Innopolis University, Russia
Universidad Adolfo Ibanez, Chile
University of Guelph, Canada
The University of Manchester, UK
Scope and call for papers
This special session invites papers discussing recent advances in the development and application of Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering.
Bioinformatics and Bioengineering (BB) are interdisciplinary scientific fields involving many branches of computer science, engineering, mathematics, and statistics. Bioinformatics is concerned with the development and application of computational methods for the modeling, retrieving and analysis of biological data, while Bioengineering is the application of engineering techniques to biology so as to create usable and economically viable products.
Bioinformatics and Bioengineering are relatively new fields in which many challenges and issues can be formulated as (single and multiobjective) optimization problems. These problems span from traditional problems, such as the optimization of biochemical processes, construction of gene regulatory networks, protein structure alignment and prediction, to more modern problems, such as directed evolution, drug design, experimental design, and optimization of manufacturing processes, material and equipment.
The main aim of this special session is to bring together both experts and new-comers working on Optimization, Learning and Decision-Making in Bioinformatics and Bioengineering to discuss new and exciting issues in this area. This session is supported by the IEEE CIS Bioinformatics and Bioengineering Technical Committee (BBTC) and the IEEE CIS Task Force on Optimization Methods in Bioinformatics and Bioengineering.
We encourage submission of papers describing new optimization/learning/decision-making strategies, challenges, and applications in the area of BB. You are invited to submit papers that are unpublished original work for this special session at IEEE CEC 2019. The topics are, but not limited to, the following
We welcome original contributions describing ongoing projects or completed work. The instructions for authors, and LaTeX and Word templates can be found at http://cec2019.org/papers.html.
January 7, 2019
Author notification: March 7, 2019
Final Submission: March 31, 2019
Ashlock Daniel, University of Guelph, Canada
Ashlock Wendy, Ashlock & McGuinness Consulting Inc, Canada
Auephanwiriyakul Sansanee, Chiang Mai University, Thailand
Brown Joseph, Innopolis University, Russia
Corns Steven, Missouri University, USA
Fogel Gary, Natural Selection Inc, USA
Handl Julia, University of Manchester, UK
Houghten Sheridan, Brock University, Canada
Jin Yaochu, University of Surrey, UK
Langdon Bill, University College London, UK
Lavygina Anna, Manchester Metropolitan University, UK
Lozano Jose, University of the Basque Country UPV/EHU, Spain
Plagianakos Vassilis, University of Central Greece, Greece
Rombo Simona, University of Palermo, Italy
Ruz Gonzalo, Universidad Adolfo Ibanez, Chile
About the organizers
Joseph A. Brown (S'09-M'14)
was born in Niagara-on-the-Lake, ON, Canada, on
July 6, 1985. He received the B.Sc. (Hons.) with first class standing in computer
science with a concentration in software engineering, and M.Sc. in computer science
from Brock University, St. Catharines, ON, Canada in 2007 and 2009, respectively.
He received the Ph.D. in computer science from the University of Guelph in 2014.
Gonzalo Ruz is an
Associate Professor and Director of the Complexity Research
Center, at the Faculty of Engineering and Sciences, Universidad Adolfo Ibanez,
Santiago, Chile. Gonzalo received his B.Sc., P.E., and M.Sc. degrees in Electrical
Engineering from Universidad de Chile, Santiago, Chile. He then completed his PhD
degree at Cardiff University, UK.
Daniel Ashlock is a Professor in the Department of Mathematics and Statistics at the
University of Guelph in Canada. Dr. Ashlock's work in bioinformatics and
optimization includes the invention of side effect machines, woven string kernals, and
other forms of optimization that support DNA classification. Dr. Ashlock is also a
leading researcher in the creation of sequencing-error tolerant embeddable tags as well
as having working in optimization on ecological data sets. Dr. Ashlock is an Associate
Editor of the IEEE/ACM Transactions on Computational Biology and
Bioinformatics. He is a longstanding member of the IEEE Bioinformatics and
Bioengineering Technical Committee, and has served as General Chair of CIBCB
Richard Allmendinger is a Lecturer
at the Alliance Manchester Business School
(AMBS), The University of Manchester, UK. Richard has joined AMBS after a 4-year
long stint as Postdoc at the EPSRC Centre for Innovative Manufacturing in Emergent
Macromolecular Therapies, University College London (UCL), UK. He received a
PhD degree in Computer Science from the University of Manchester, UK, and an MSc
in Business Engineering from the Karlsruhe Institute of technology (KIT).