Problems with uncertainty need to be tackled in an increasing variety of areas ranging from problems in physics, chemistry, computational biology to decision making in economics and social sciences. Uncertainty is unavoidable in almost all systems analysis, in risk analysis in decision making and economics and financial modeling, in weather and pollution modeling, disaster modeling and simulation (earthquake modeling, forest fires simulation etc.). How uncertainty is handled and quantified shapes the integrity of the analysis, and the correctness and credibility of the solution and the results.
With the advent of exascale computing larger and larger problems have to be tackled in a systematic way and the problem of solving such problems with uncertainties and quantifying the uncertainties becomes even more important due to the variety and scale of uncertainties in such problems.
The focus of the workshop will be on methods and algorithms for solving problems with uncertainties, stochastic methods and algorithms for solving problems with uncertainty, methods and algorithms for quantifying uncertainties such as dealing with data input and missing data, sensitivity analysis (local and global), dealing with model inadequacy, model validation and averaging, software fault-tolerance and resilience, etc.
Topics covered but not limited to:
- methods for quantifying uncertainties
- methods and algorithms for solving problems with uncertainties
- stochastic methods and algorithms for solving problems with uncertainty
- hybrid (stochastic/deterministic) methods and algorithms for solving problems with uncertainties
- quantifying uncertainties while dealing with Big Data
- sensitivity analysis,
- quantifying uncertainties while dealing with model inadequacy, model validation etc.
- case studies showing efficient methods and approaches solving problems with uncertainties
Program Committee:
- Vassil Alexandrov, ICREA-BSC, Spain
- Ana Cortes, UAB, Spain
- Andrew Rau-Chaplin, University of Dalhousie, Canada
- Aneta Karaivanova, IICT, Bulgaria
- Christian Engelmann, ORNL, USA
- Daniel Rodriguez, UAH, Spain
- Raul Ramires, ITESM, Mexico
Workshop Chair:
Vassil Alexandrov - ICREA-BSC
How to Submit:
- Prepare the manuscripts in Procedia Computer Science format (no more than 10 pages) [LaTex],[MS Word]
- Log-in to ICCS 2015 submission site in EasyChair
- You will need to create an account if you do not have an existing account in EasyChair.
- Select the workshop: SPU’2015 - Solving Problems with Uncertainties and submit your paper through the following link
All accepted papers will be printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science and indexed by Scopus, ScienceDirect, Thomson Reuters Conference Proceedings Citation (former ISI Proceedings) -an integrated index within Web of Science. The papers will contain linked references, XML versions and citable DOI numbers.
The submitted paper must be camera-ready and formatted according to the rules of Procedia Computer Science, not exceeding 10 pages. Submission implies the willingness of at least one of the authors to register and present the paper.
Papers must be based on unpublished original work and must be submitted to ICCS only.
After the conference, selected papers will be invited for a special issue of the Journal of Computational Science.
ICCS is an ERA 2010 A-ranked conference series.
Important dates:
- Paper submission deadline: February 5, 2015
- Notification of acceptance: February 20, 2015
I am looking forward to seeing you at the workshop and ICCS2015.