[agents] On-Site and Remote: ADVCOMP 2020 || October 25 - 29, 2020 - Nice, France
Sandra Sendra
ssendra at ugr.es
Wed Jul 15 10:50:25 EDT 2020
Greetings,
With everyone's health and safety in mind, we are adapting some of the
ways in which IARIA conferences are organized:
1. The submission deadlines (and other dates such as notification and
camera ready) are rather flexible in order to account for possibly
limited author access to the academic/industrial premises where the
research work is taking place.
2. During the conference, authors will be able to present their work via
pre-recorded videos and/or conference calls (in case they opt to avoid
travel).
3. Selection of awarded papers and invitations for expanded versions for
IARIA journals are not affected by the presentation method (pre recorded
or in person)
We wish you health and safety during these times.
----
That being said, note that the submission deadline of *July 20 *is
approaching.
Please consider to contribute to and/or forward to the appropriate
groups the following opportunity to submit and publish original
scientific results to:
*ADVCOMP 2020,* The Fourteenth International Conference on Advanced
Engineering Computing and Applications in Sciences
Authors of selected papers will be invited to submit extended article
versions to one of the IARIA Journals: https://www.iariajournals.org
=================
============== ADVCOMP 2020 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
ADVCOMP 2020, The Fourteenth International Conference on Advanced
Engineering Computing and Applications in Sciences
General page: https://www.iaria.org/conferences2020/ADVCOMP20.html
Submission page: https://www.iaria.org/conferences2020/SubmitADVCOMP20.html
Event schedule: October 25 - 29, 2020 - Nice, France
Contributions:
- regular papers [in the proceedings, digital library]
- short papers (work in progress) [in the proceedings, digital library]
- ideas: two pages [in the proceedings, digital library]
- extended abstracts: two pages [in the proceedings, digital library]
- posters: two pages [in the proceedings, digital library]
- posters: slide only [slide-deck posted at www.iaria.org]
- presentations: slide only [slide-deck posted at www.iaria.org]
- demos: two pages [posted at www.iaria.org]
Submission deadline: July 20, 2020
Extended versions of selected papers will be published in IARIA
Journals: https://www.iariajournals.org
Print proceedings will be available via Curran Associates, Inc.:
https://www.proceedings.com/9769.html
Articles will be archived in the free access ThinkMind Digital Library:
https://www.thinkmind.org
The topics suggested by the conference can be discussed in term of
concepts, state of the art, research, standards, implementations,
running experiments, applications, and industrial case studies. Authors
are invited to submit complete unpublished papers, which are not under
review in any other conference or journal in the following, but not
limited to, topic areas.
All tracks are open to both research and industry contributions, in
terms of Regular papers, Posters, Work in progress,
Technical/marketing/business presentations, Demos, Tutorials, and Panels.
Before submission, please check and comply with the editorial rules:
https://www.iaria.org/editorialrules.html
ADVCOMP 2020 Topics (for topics and submission details: see CfP on the site)
Call for Papers: https://www.iaria.org/conferences2020/CfPADVCOMP20.html
============================================================
Advances on computing theories
Machine learning theory; Machine learning models (supervised,
unsupervised, reinforcement, constrained, etc.); Explainable AI (feature
importance, LIME, SHAP, FACT, etc.); Finite-state machines; Petri nets
/stochastic/colored/probabilistic/etc; Genetic algorithms; Prediction
theory; Bayesian theory
/statistics/filtering/estimation/reasoning/rating/etc; Markov
chains/process/model/etc; Graphs theories; Training of models
(hyperparameter optimization, regularization, optimizers); Active
learning (partially labels datasets, faulty labels, semi-supervised);
Data in machine learning (no data, small data, big data, graph data,
time series, sparse data, etc.); Applications of machine learning
(recommender systems, NLP, computer vision, engineering, urban,
environmental, etc.)
Advances in computation methods
Hybrid computational methods; Advanced numerical algorithms;
Differential calculus; Matrix perturbation theory; Rare matrices;
Fractals & super-fractal algorithms; Random graph dynamics;
Multi-dimensional harmonic estimation
Computational logics
Knowledge-based systems and automated reasoning; Logical issues in
knowledge representation /non-monotonic reasoning/belief; Specification
and verification of programs and systems; Applications of logic in
hardware and VLSI; Natural language, concurrent computation, planning;
Deduction and reasoning; Logic of computation; Dempster-Shafer theory;
Fuzzy theory/computation/logic/etc
Advances on computing mechanisms
Clustering large and high dimensional data; Data fusion and aggregation;
Biological sequence analysis; Biomecatronics mechanisms; Biologically
inspired mechanisms; System theory and control mechanisms;
Multi-objective evolutionary algorithms; Constraint-based algorithms;
Ontology-based reasoning; Topology and structure patterns; Geometrical
pattern similarity; Strong and weak symmetry; Distortion in coordination
mechanisms
Computing techniques
Distributed computing; Parallel computing; Grid computing; Autonomic
computing; Cloud computing; Development of numerical and scientific
software-based systems; Pattern-based computing; Finite-element method
computation; Elastic models; Optimization techniques; Simulation
techniques; Stream-based computing
Resource intensive applications and services (RIAS)
Fundamentals on RIAS; Basic algorithms for RIAS; Communications
intensive; Process intensive; Data-intensive computing; Operational
intensive; Cloud-computing intensiveness; User intensive; Technology
intensive; Control intensive; Complex RIAS; Bioinformatics computation;
Large scale ehealth systems; Pharmaceutical/drug computation; Weather
forecast computation; Earthquake simulations; Geo-spatial simulations;
Spatial programs; Real-time manufacturing systems; Transportation
systems; Avionic systems; Economic/financial systems; Electric-power systems
Computational geometry
Theoretical computational geometry; Applied computational geometry;
Design and analysis of geometric algorithms; Design and analysis of
geometric algorithms and data structures; Discrete and combinatorial
geometry and topology; Data structures (Voronoi Diagrams, Delaunay
triangulations, etc.); Experimental evaluation of geometric algorithms
and heuristics; Numerical performance of geometric algorithms; Geometric
computations in parallel and distributed environments; Geometric data
structures for mesh generation; Geometric methods in computer graphics;
Solid modeling; Space Partitioning; Special applications (animation of
geometric algorithms, manufacturing, computer graphics and image
processing, computer-aided geometry design, solid geometry)
Interdisciplinary computing
Computational /physics, chemistry, biology/ algorithms; Graph-based
modeling and algorithms; Computational methods for /crystal, protein/
structure prediction; Computation for multi-material structure; Modeling
and simulation of large deformations and strong shock waves; Computation
in solid mechanics; Remote geo-sensing; Interdisciplinary computing in
music and arts
Cloud computing
Hardware-as-a-service; Software-as-a-service [SaaS applicaitions];
Platform-as-service; On-demand computing models; Cloud Computing
programming and application development; Scalability, discovery of
services and data in Cloud computing infrastructures; Privacy, security,
ownership and reliability issues; Performance and QoS; Dynamic resource
provisioning; Power-efficiency and Cloud computing; Load balancing;
Application streaming; Cloud SLAs, business models and pricing policies;
Custom platforms; Large-scale compute infrastructures; Managing
applications in the clouds; Data centers; Process in the clouds; Content
and service distribution in Cloud computing infrastructures; Multiple
applications can run on one computer (virtualization a la VMWare); Grid
computing (multiple computers can be used to run one application);
Cloud-computing vendor governance and regulatory compliance
Grid Networks, Services and Applications
GRID theory, frameworks, methodologies, architecture, ontology; GRID
infrastructure and technologies; GRID middleware; GRID protocols and
networking; GRID computing, utility computing, autonomic computing,
metacomputing; Programmable GRID; Data GRID; Context ontology and
management in GRIDs; Distributed decisions in GRID networks; GRID
services and applications; Virtualization, modeling, and metadata in
GRID; Resource management, scheduling, and scalability in GRID; GRID
monitoring, control, and management; Traffic and load balancing in GRID;
User profiles and priorities in GRID; Performance and security in GRID
systems; Fault tolerance, resilience, survivability, robustness in GRID;
QoS/SLA in GRID networks; GRID fora, standards, development, evolution;
GRID case studies, validation testbeds, prototypes, and lessons learned
Computing in Virtualization-based environments
Principles of virtualization; Virtualization platforms; Thick and thin
clients; Data centers and nano-centers; Open virtualization format;
Orchestration of virtualization across data centers; Dynamic federation
of compute capacity; Dynamic geo-balancing; Instant workload migration;
Virtualization-aware storage; Virtualization-aware networking;
Virtualization embedded-software-based smart mobile phones; Trusted
platforms and embedded supervisors for security; Virtualization
management operations /discovery, configuration, provisioning,
performance, etc.; Energy optimization and saving for green datacenters;
Virtualization supporting cloud computing; Applications as pre-packaged
virtual machines; Licencing and support policies
Development of computing support
Computing platforms; Advanced scientific computing; Support for
scientific problem-solving; Support for distributed decisions;
Agent-assisted workflow support; Middleware computation support; High
performance computing; Problem solving environments; Computational
science and education; Neuronal networks
Computing applications in science
Advanced computing in civil engineering; Advanced computing in physics
science; Advanced computing in chemistry science; Advanced computing in
mathematics; Advanced computing in operation research; Advanced
computing in economics; Advanced computing in electronics and electrical
science; Advanced computing on Earth science, geosciences and meteorology
Complex computing in application domains
Computation genomic; Management of scientific data and knowledge;
Advanced computing in bioinformatics and biophysics; Advanced computing
in molecular systems and biological systems; Application of engineering
methods to genetics; Medical computation and graphics; Advanced
computing in simulation systems; Advanced computing for statistics and
optimization; Advanced computing in mechanics and quantum mechanics;
Advanced computing for geosciences and meteorology; Maps and geo-images
building; Curve and surface reconstruction; Financial computing and
forecasting; Advanced computing in robotics and manufacturing; Advanced
computing in power systems; Environmental advanced computing
------------------------
*ADVCOMP Series Committee*:
https://www.iaria.org/conferences2020/ComADVCOMP20.html
*ADVCOMP 2020 General Chair*
Sandra Sendra, Universitat Politecnica de Valencia / Universidad de
Granada, Spain
*ADVCOMP 2020 Steering Committee*
*Dean Vucinic*, Vrije Universiteit Brussel (VUB), Belgium / FERIT, Croatia
*Juha Röning*, University of Oulu, Finland
*Alfred Geiger*, T-Systems Information Services GmbH, Germany
*Marcin Hojny*, AGH University of Science and Technology, Poland
*Hans-Joachim Bungartz*, TUM, Germany
*Alice E. Koniges*, University of Hawai‘i at Mānoa, USA
*Andreas Rausch*, TU Clausthal, Clausthal-Zellerfeld, Germany
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