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Symposium on Signal Processing and Mathematical Modeling of Biological Processes with Applications to Cyber-Physical Systems for Precise Medicine
Radu Balan (General Chair)
University of Maryland, College Park, US
Paul Bogdan (General Chair)
University of Southern California, US
Nidhal Bouaynaya (Technical Program Chair)
Rowan University, US
Parag Mallick (Technical Program Chair)
Stanford University, US
Alexander Medvedev (Technical Program Chair)
Uppsala University, Sweden
Haris Vikalo (Technical Program Chair)
The University of Texas at Austin, US
CALL FOR PAPERS
Recent progress in genomics, proteomics, metabolic phenotyping and physiological sensing revealed that numerous biomarkers representing collections of malfunctioning molecular regulatory pathways can serve for early detection of abnormal pathophysiology. This opens the possibility of designing complex cyber-physical systems for precise medicine capable of monitoring bio-molecular markers and physiological processes, mining their multiscale web of interactions, detect abnormal trends, and compute control-based therapeutic strategies.
One fundamental step in this new paradigm is represented by the mathematical methods used for processing sensed biological processes. Many of these biological processes exhibit complex multi-scale and nonlinear dynamics with pronounced non-stationary behavior raising numerous challenges for signal processing techniques. From a medical perspective, it becomes clearer that for an accurate assessment of deviations from homeostasis there is an urgent need for a multi-dimensional (i.e., considering numerous genomic, proteomic and metabolic biomarkers as well as physiological signals), multi-organ (i.e., accounting for influences on the biological dynamics between multiple organs) and multi-scale (i.e., scrutinize spatio-temporal correlations) analysis. On the same time, combining the richness of multi-modal sensing capabilities (e.g., audio, electrical, mechanical, chemical / metabolic) can not only enable more accurate mathematical modeling and better control strategies, but also a more rigorous understanding of biological dynamics in both healthy and disease states. In turn, the signal processing methods and their accuracy also affect the subsequent steps such as the mathematical modeling, parameter estimation, mining and control of biological processes. In addition, signal processing and mathematical modeling can contribute not only at deciphering diseases precursors, finding new therapeutic strategies, but also at understanding fundamental scientific challenges related to biological evolution and disease complexome.
This symposium addresses timely and the challenging aspects of signal processing for enabling the design of cyber-physical systems for precise and personalized medicine. Over the last decade, these interdisciplinary research communities have matured and their convergence can enable breakthrough solutions. The symposium will cover signal processing and mathematical modeling techniques aimed at advancing our understanding of the complex inter-dependencies between genomic, proteomic, metabolic and physiological processes. A special emphasis will be put on highlighting the main challenges we face in these disciplines. This symposium will provide a platform for discussion and dissemination of research on topics of interest, but not limited to the following:
• Genomic signal processing
• Functional genomics
• Algorithmic and mathematical techniques for genome analysis
• Computational proteomics
• Structural bioinformatics
• Mathematical modeling for metabolomics and physiological processes
• Phylogenetics (phylogeny estimation, models of evolution, comparative biological methods, population genetics)
• Genetics and population analysis (linkage analysis, association analysis, population simulation, marker discovery, genotype calling)
• Mathematical techniques for analyzing high-throughput biological data
• Machine learning algorithms and techniques in bioinformatics
• Mathematical methodologies for system biology (multiscale modeling, network of networks)
• Mathematical modeling of cell physiology, tissues, organs and systems
Submission of Papers: Prospective authors are invited to submit full-length papers, with up to four pages for technical content including figures and possible references, and with one additional optional 5th page containing only references. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard IEEE double-column paper template. All paper submissions should be carried out through EDAS system (http://edas.info). A selection of best papers and best student papers will be made by the GlobalSIP 2015 best paper award committee upon recommendations from Technical Committees.
Notice: The IEEE Signal Processing Society enforces a "no-show" policy. Any accepted paper included in the final program is expected to have at least one author or qualified proxy attend and present the paper at the conference. Authors of the accepted papers included in the final program who do not attend the conference will be subscribed to a "No-Show List", compiled by the Society. The "no-show" papers will not be published by IEEE on IEEEXplore or other public access forums, but these papers will be distributed as part of the on-site electronic proceedings and the copyright of these papers will belong to the IEEE.