[hpc-announce] On-Site and Remote: ADVCOMP 2020 || October 25 - 29, 2020 - Nice, France

[Sandra Sendra]

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