We invite proposals for Special Sessions, Workshops or Minisymposia.
Each Session should consist of at least 6 paper presentations.
Each Workshop or Minisymposium should consist of at least 10 paper presentations.
The Session, Workshop or Minisymposium organizer will be responsible for advertising the workshop, and selecting and reviewing the papers.
The Session organizers will be granted free registration for the AMACS 2022 provided that they will have at least 5 registered papers in their session.
The Workshop or Minisymposium organizers will be granted two free registrations provided that they will have at least 10 registered papers in their workshop or minisymposium.
Send your proposal for your Special Session, Workshop or Minisymposium by email: email@example.com, firstname.lastname@example.org, email@example.com, with the Title / Organizer / Aim / Topics like the following example:
Title: High Performance Computing and Data Analytics of Numerical Simulations and Experimental Data
Organizer-Chairman: Prof. Dr. Miguel A. de Avillez, University of Evora
(Portugal) and Technical University Berlin (Germany)
Aim: The aim is two fold: (i) Discussion on parallelization models and
their use in data analytics with supercomputers, and (ii) data analytics
of numerical simulations and experimental data.
High Performance Computing, Parallelization models, Message
Passing Interface, OpenMP, Software development, Numerical Simulations,
Data analytics, Data reduction
Title: Knowledge Engineering for Decision Support Systems
Organizer-Chairman: Prof. Abdel-Badeeh Salem, Ain Sham University, Cairo, Egypt.
E-mail: firstname.lastname@example.org, email@example.com
Aim: Knowledge engineering (KE) deals with the development of intelligent information systems in which knowledge and reasoning play pivotal role. KE is a subfield of artificial intelligence (AI) and includes: knowledge acquisition, knowledge-based systems, knowledge compilation, shells and tools, intelligent methodologies, modeling, ontological engineering, knowledge discovery, and knowledge representation. The objective of this special session is to present a scope of current research of the AI paradigms and knowledge engineering methodologies for developing intelligent Decision Support Systems.
* Machine learning
* Inference and reasoning
* Natural language processing
* Multi-agent systems
* Expert systems
* Data mining and knowledge discovery systems
* Intelligent tools and shells
* Ontological engineering
* Knowledge representation and management
* Knowledge acquisition and sharing
* Relevant Bio-informatics and smart healthcare applications
* Relevant Business and Electronic commerce systems
* e-Government and e-Service intelligence
* Knowledge-based economy