ADVCOMP 2023  The Seventeenth International Conference on Advanced Engineering Computing and Applications in Sciences
September 25, 2023  September 29, 2023
ADVCOMP 2023
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or prerecorded videos).
ISSN: 23084499
ISBN: 9781685581077
ADVCOMP 2023 is colocated with the following events as part of NexTech 2023 Congress:
 UBICOMM 2023, The Seventeenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
 ADVCOMP 2023, The Seventeenth International Conference on Advanced Engineering Computing and Applications in Sciences
 SEMAPRO 2023, The Seventeenth International Conference on Advances in Semantic Processing
 AMBIENT 2023, The Thirteenth International Conference on Ambient Computing, Applications, Services and Technologies
 EMERGING 2023, The Fifteenth International Conference on Emerging Networks and Systems Intelligence
 DATA ANALYTICS 2023, The Twelfth International Conference on Data Analytics
 GLOBAL HEALTH 2023, The Twelfth International Conference on Global Health Challenges
 CYBER 2023, The Eighth International Conference on CyberTechnologies and CyberSystems
ADVCOMP 2023 Steering Committee


Dean Vucinic
Vrije Universiteit Brussel (VUB), Belgium
FERIT, Croatia



Juha Röning
University of Oulu
Finland



HansJoachim Bungartz
TUM
Germany



Marcin Hojny
AGH University of Science and Technology
Poland



Andreas Rausch
TU Clausthal, ClausthalZellerfeld
Germany



Alice E. Koniges
University of Hawai‘i at Mānoa
USA

ADVCOMP 2023 conference tracks:
Advances on computing theories
Machine learning theory; Machine learning models (supervised, unsupervised, reinforcement, constrained, etc.); Explainable AI (feature importance, LIME, SHAP, FACT, etc.); Finitestate 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, semisupervised); 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 & superfractal algorithms; Random graph dynamics; Multidimensional harmonic estimation
Computational logics
Knowledgebased systems and automated reasoning; Logical issues in knowledge representation /nonmonotonic 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; DempsterShafer 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; Multiobjective evolutionary algorithms; Constraintbased algorithms; Ontologybased 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 softwarebased systems; Patternbased computing; Finiteelement method computation; Elastic models; Optimization techniques; Simulation techniques; Streambased computing
Resource intensive applications and services (RIAS)
Fundamentals on RIAS; Basic algorithms for RIAS; Communications intensive; Process intensive; Dataintensive computing; Operational intensive; Cloudcomputing intensiveness; User intensive; Technology intensive; Control intensive; Complex RIAS; Bioinformatics computation; Large scale ehealth systems; Pharmaceutical/drug computation; Weather forecast computation; Earthquake simulations; Geospatial simulations; Spatial programs; Realtime manufacturing systems; Transportation systems; Avionic systems; Economic/financial systems; Electricpower 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, computeraided geometry design, solid geometry)
Interdisciplinary computing
Computational /physics, chemistry, biology/ algorithms; Graphbased modeling and algorithms; Computational methods for /crystal, protein/ structure prediction; Computation for multimaterial structure; Modeling and simulation of large deformations and strong shock waves; Computation in solid mechanics; Remote geosensing; Interdisciplinary computing in music and arts
Cloud computing
Hardwareasaservice; Softwareasaservice [SaaS applicaitions]; Platformasservice; Ondemand 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; Powerefficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Largescale 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); Cloudcomputing 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 Virtualizationbased environments
Principles of virtualization; Virtualization platforms; Thick and thin clients; Data centers and nanocenters; Open virtualization format; Orchestration of virtualization across data centers; Dynamic federation of compute capacity; Dynamic geobalancing; Instant workload migration; Virtualizationaware storage; Virtualizationaware networking; Virtualization embeddedsoftwarebased 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 prepackaged virtual machines; Licencing and support policies
Development of computing support
Computing platforms; Advanced scientific computing; Support for scientific problemsolving; Support for distributed decisions; Agentassisted 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 geoimages building; Curve and surface reconstruction; Financial computing and forecasting; Advanced computing in robotics and manufacturing; Advanced computing in power systems; Environmental advanced computing
Deadlines:
Submission  Jun 24, 2023 
Notification  Aug 01, 2023 
Registration  Aug 15, 2023 
Camera ready  Aug 25, 2023 
Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).