Conference News:

 

(10.09.2019) IDC 2019- Sessions and accepted papers are updated

 

(08.09.2019) IDC 2019- Sessions and accepted papers are added to Program page

(07.06.2019) Notification of acceptance extended to June 11th, 2019. Final paper submission extended to June 19th, 2019. Deadline for authors registration is June 20th.


(24.05.2019) Registration page is updated.

 

(14.05.2019) Notification of acceptance extended to June 7th, 2019. Final paper submission extended to June 17th, 2019.

 

(23.04.2019) Paper submission extended to May 6th 2019

 

(09.04.2019) Paper submission extended to April 23rd 2019

 

(11.03.2019) List of special sessions is added

 

(15.02.2019) List of committees is added

 

(24.01.2019) First call for papers, special sessions, workshops and tutorials is added

 

(26.10.2018) Website up and running!

Important Dates

 

Proposals for Tutorials/ Workshops/ Special sessions:

F̶e̶b̶r̶u̶a̶r̶y̶ ̶1̶5̶t̶h̶, March 4th, 2019

 

Notification of acceptance for Tutorials/ Workshops/ Special sessions:

 M̶a̶r̶c̶h̶ ̶4̶t̶h̶, March 11th, 2019

 

Paper submission:

A̶p̶r̶i̶l̶ ̶9̶t̶h,  ̶A̶p̶r̶i̶l̶ ̶2̶3̶r̶d̶, May 6th 2019 (final extension!)

 

Notification of acceptance:

 ̶M̶a̶y̶ ̶3̶1̶s̶t̶, ̶J̶u̶n̶e̶ ̶7̶t̶h̶, June 11, 2019

 

Final paper submission:

 ̶J̶u̶n̶e̶ ̶4̶t̶h̶, ̶J̶u̶n̶e̶ ̶1̶7̶t̶h̶, June 19, 2019

 

Registration for authors:

June 20, 2019

 

Symposium dates:

October 7th-9th, 2019

Symposium Main Topics:

  •  Intelligent Distributed and High-Performance Architectures
    • Hybrid distributed systems involving software agents and human actors
    • Intelligent grid and cloud infrastructures
    • Agent-based wireless sensor networks
    • Distributed frameworks and middleware for the Internet of Things
    • GPU, multicore, and many-core intelligent computing
    • Intelligent high-performance architectures
    • Context-aware intelligent computing
    • Virtualization infrastructures for intelligent computing
    • Bio-inspired and nature-inspired distributed computing

 

  • Organization and Management
    • Autonomic and adaptive distributed computing
    • Intelligent service composition and orchestration
    • Self-organizing and adaptive distributed systems
    • Emerging behaviors in complex distributed systems
    • Intelligent integration of heterogeneous data and processes
    • Methodologies for development of intelligent distributed systems and applications

 

  • Ephemeral and Unreliable computing
    • Theory and applications of complex ephemeral or unreliable environments
    • Design and deployment of ephemeral computing systems
    • Application of Soft Computing methods on computational environments featuring ephemeral behavior (unreliability, dynamicity, and/or heterogeneity)
    • Meta-heuristics for modeling and analyzing systems with ephemeral properties, such as social network dynamics, ephemeral clustering and pattern mining, ephemeral computational creativity or content generation

 

  • Intelligent Distributed Knowledge Representation and Processing
    • Information extraction and retrieval in distributed environments
    • Knowledge integration and fusion from distributed sources
    • Data mining and knowledge discovery in distributed environments
    • Semantic and knowledge grids
    • Ontologies and meta-data for describing heterogeneous resources and services
    • Distributed fusion of sensor data streams
    • Big Data Processing

 

  • Networked Intelligence
    • E-service and web intelligence
    • Intelligence in mobile, ubiquitous and wearable computing
    • Intelligence in peer-to-peer systems
    • Intelligence in distributed and networked multimedia systems
    • Security, privacy, trust and reputation
  • Parallel metaheuristics for optimization
    • Global single-population master-slave, panmictic population GAs
    • Single-population fine-grained GAs
    • Multiple-population, multiple-deme, distributed, island based, coarse grained, GAs
    • Evolutionary simulated annealing, Distributed Tabu Search
    • Parallel Variable Neighborhood Search
    • Swarm intelligence methods based on distributed knowledge sharing: bat algorithm, firefly algorithm, imperialist competitive algorithm, particle swarm optimization, ant colony optimization, artificial bee colony, golden ball, coral reefs optimization, water cycle algorithm, cuckoo search, harmony search...
    • Hybridization of Swarm Intelligence techniques, Memetic Computing, Adaptive Swarm Intelligence methods
    • Distributed Evolutionary Techniques, Cellular Evolutionary Algorithm, Hyper Heuristics
    • Applications of swarm intelligence techniques for distributed or cooperative environments

 

  • Distributed swarm robotics systems
    • Recent advances on Soft Computing methods for Robotics
    • Novel applications of Swarm Robotics, with a priority on real-world scenarios
    • New synergies between Swarm Intelligence and Swarm Robotics
    • Coordination and control of Swarm Robotic Systems
    • Applications of Swarm Intelligence for collaborative positioning and route optimization in robotic swarms
    • Distributed inference in Swarm Robotics
    • Self-organization in robotics enabled by Swarm Intelligence

 

  • Nature inspired methods for data science and machine learning
    • Recent advances on nature inspired methods for data science
    • Novel applications of bio-inspired methods to data mining, with priority on real-world scenarios
    • Nature-inspired methods for supervised and unsupervised data mining
    • Hybridizing bio-inspired methods with machine learning and data mining techniques
    • Nature-inspired methods for feature selection and/or instance generation/selection
    • Implementation of bio-inspired methods using Big Data technologies
    • Federated learning: theory and applications

 

  • Intelligent Distributed Applications
    • Distributed problem solving and decision making
    • Intelligent applications in e-business/e-commerce, e-learning, e-health, e-science, e-government, crisis management, smart grid
    • Modeling, simulation and development of intelligent distributed systems
    • Simulation of groups and crowds
    • Intelligent data processing
    • Intelligent robots

 

Laboratory of Computer Security Problems

St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)

Saint Petersburg National Research University of Information Technologies, Mechanics and Optics  (ITMO University)

Monomax PCO

Prof. Igor Kotenko

Russia, 199178, St. Petersburg., No. 39, 14-th Linia, VI

Phone / Fax:   +7-812-328-71-81 / +7-812-328-44-50

E-mail: idc2019@comsec.spb.ru