Special Session

 

Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering (OLDBB)

 

 

IEEE World Congress on Computational Intelligence 2016 (IEEE WCCI 2016)

 

Conference dates: July 25th to 29th 2016

Paper submission deadline: January 15th 2016

 

Vancouver, Canada

 

 

Organizers


Allmendinger Richard

The University of Manchester, UK

 

Daniel Ashlock

University of Guelph, Canada

 

Sanaz Mostaghim

Otto von Guericke University Magdeburg, Germany

 

 

 

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 (OLDBB).

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 (OLDMBB) 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 You are invited to submit papers that are unpublished original work for this special session at IEEE CEC 2016, which is part of the IEEE WCCI 2016. The topics are, but not limited to, the following


Submission instructions

We welcome original contributions describing ongoing projects or completed work. The instructions for authors, and LaTeX and Word templates can be found at http://www.wcci2016.org/submission.php. You can also upload your paper directly here.


Important dates

Paper submission: January 15, 2016
Author notification: March 15, 2016
Final Submission: April 15, 2016


Program committee

Ashlock Wendy, York University, Canada
Auephanwiriyakul Sansanee, Chiang Mai University, Thailand
Branke Juergen, University of Warwick, UK
Brown Joseph, Innopolis University, Russia
Brown Michael, University of Maryland University College, USA
Coker James, University of Maryland University College, USA
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
Jung-Hsien Chiang, National Cheng Kung University, Taiwan
Knowles Joshua, University of Birmingham, UK
Langdon Bill, University College London, UK
Lavygina Anna, Imperial College London, UK
Rombo Simona, University of Palermo, Italy
Yifeng Li, National Research Council Canada, Ottawa, Canada


Contact

Please feel free to contact us
Richard Allmendinger: richard.allmendinger@manchester.ac.uk
Daniel Ashlock: dashlock@uoguelph.ca
Sanaz Mostaghim: sanaz.mostaghim@ovgu.de


About the organizers

Richard Allmendinger is a Lecturer at the Alliance Manchester Business School (Alliance MBS), The University of Manchester, UK. Richard has joined Alliance MBS 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 a Diplom in Industrial Engineering from the Karlsruhe Institute of technology (KIT), Germany, and the Royal Melbourne Institute of Technology (RMIT), Australia.
Richard is Chair of the IEEE CIS Task Force on Optimization Methods in Bioinformatics and Bioengineering, and Vice-Chair of the IEEE CIS Bioinformatics and Bioengineering Technical Committee. His main research interest is the development and application of optimization and learning techniques to real-world problems arising in areas such as bioprocessing, experimental optimization, economics, and product design.

Webpage: http://personalpages.manchester.ac.uk/staff/Richard.Allmendinger/default.htm

Dr 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 twice.

Webpage: http://eldar.mathstat.uoguelph.ca/dashlock/

Sanaz Mostaghim is a Professor at the Faculty of Computer Science, Otto von Guericke University of Magdeburg, Germany. She received her habilitation degree in applied computer science from Karlsruhe Institute of Technology (KIT) in 2012, where she worked as a lecturer. Sanaz has received a PhD degree in electrical engineering from the University of Paderborn in Germany and worked as a post-doctoral fellow at the Swiss Federal Institute of Technology (ETH) Zurich in Switzerland. Her research interests are evolutionary multi-objective algorithms, swarm intelligence and their applications in science and industry. She is an active member in several German and international societies such as IEEE, ACM and GI. Currently she is the chair of the IEEE CIS Task Force Evolutionary Multi-objective Optimization (TF-EMO) and vice-chair of the Task Force Optimization Methods in Bioinformatics and Bioengineering (TF-OMBB), and since 2012 is serving as an associate editor for IEEE Transactions on Evolutionary Computation and IEEE Transactions on Cybernetics.

Webpage: http://is.cs.ovgu.de/SanazMostaghim.html