全文截稿: 2021-03-27

开会时间: 2021-04-24

会议难度: ★★

CCF分类: 无

会议地点: Copenhagen, Denmark

网址：
https://csit2021.org/

8th International Conference on Computer Science and Information Technology (CSIT 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science and Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. 
Topics of Interest : 

Algorithms and Bioinformatics 
Big Data 
Blockchain 
Cloud Computing 
Computer Architecture and Real Time Systems 
Database and Data Mining 
Deep Learning 
Dependable, Reliable and Autonomic Computing 
Distributed and Parallel Systems and Algorithms 
DSP/Image Processing/Pattern Recognition/Multimedia 
Embedded System and Software 
Game and Software Engineering 
Geographical Information Systems/ Global Navigation Satellite Systems (GIS/GNSS) 
Grid and Scalable Computing 
Internet of Things 
Intelligent Information & Database Systems 
IT policy and Business Management 
Machine Learning & Applications 
Mobile and Ubiquitous Computing 
Modeling and Simulation 
Multimedia Systems and Services 
NLP 
Networking and Communications 
Parallel and Distributed Systems 
Security and Information Assurance 
Soft Computing 
Software Engineering 
Web and Internet Computing

全文截稿: 2021-05-07

开会时间: 2021-08-10

会议难度: ★★

CCF分类: 无

会议地点: Halifax, Nova Scotia, Canada

网址：
https://projects.cs.dal.ca/cccg2021/

The Canadian Conference on Computational Geometry (CCCG) is a forum to disseminate and discuss new theoretical and applied results in discrete and computational geometry. CCCG focuses on the design of efficient algorithms, the development of software, and the study of the mathematical foundations of computational problems whose formulations involve geometric constraints. 

The field of computational geometry is motivated by problems from a broad range of application areas, as diverse as computer graphics and animation, computer vision, computer-aided design and manufacturing, geographic information systems, pattern recognition, wireless communications, robotics, protein folding, urban planning, graph drawing, or statistical analysis. 

Authors are invited to submit papers describing original research of theoretical or practical significance in computational, combinatorial and discrete geometry, as well as related areas. Submissions will be refereed by the Program Committee. Submissions should not exceed ten pages, excluding references and appendices. Documents must be prepared using LaTeX; the appropriate template is available from the link below. Authors who feel that additional details are necessary should include a clearly marked appendix, which will be read at the discretion of the Program Committee. 

Only electronic submissions via EasyChair (link below) will be accepted. Simultaneous submission to another conference or journal is not allowed. Accepted papers are expected to be presented at the conference. Failure to do so will result in removal of the paper from the proceedings. 

Proceedings will be published online. There will be no paper proceedings. Authors of selected papers will be invited to submit extended versions to a special issue of the journal Computational Geometry: Theory and Applications.

全文截稿: 2021-07-02

开会时间: 2021-09-27

会议难度: ★★

CCF分类: 无

会议地点: Virtual

网址：
http://ecas2021.apice.unibo.it/

Modern computing systems tend to be composed of many distributed and heterogeneous entities interacting with one another and with their environment to pursue a variety of goals and functionality. These systems typically operate under continuous perturbations, making manual adjustments and open-loop approaches infeasible, hence requiring self-* features (e.g., self-organisation, self-adaptation, self-configuration...). For a collective system to be resilient, its adaptation must also be collective, in the sense that multiple entities must adapt in a way that addresses critical runtime conditions while preserving the benefits of collaborative interdependencies. Decision-making in such systems is distributed and possibly highly dispersed, and interaction between the entities may lead to the emergence of unexpected phenomena. 

To engineer such *collective adaptive systems (CAS)*, new approaches for and understanding of collective adaptation are needed, to allow: i) multiple entities to adapt in a coordinated or complementary way, with ii) negotiations or other mechanisms to decide which collective changes are suitable. Collective adaptation also raises a second important challenge: Which parts of the system (things, services, people) should be engaged in an adaptation, and how? This is nontrivial, as multiple solutions to the same problem may be generated at different levels, and individuals in the collective often have partial information. The challenge is to understand these levels and create mechanisms to decide the right scope for an adaptation for a given problem. 

This workshop solicits papers that address new methodologies, theories, principles, and fundamental understanding, that can be used to underpin the design, operation, and analysis of CASs. Case studies, applications showing such approaches in action, and interdisciplinary work are particularly welcome. Research on CAS engineering can benefit from advances in related areas looking “beyond individual devices”, including (but not limited to) multi-agent systems, coordination, concurrency theory, self-* systems, collective intelligence, nature-inspired computing, organisational paradigms, and so on. 

Suggested Topics (but not limited to): 
* Novel theories relating to operating principles of CAS 
* Novel design principles for building CAS systems 
* Insights into the short and long-term adaptation of CAS systems 
* Insights into emergent properties of CAS 
* Insights into general properties of large scale, distributed CAS 
* Comparing and analyzing approaches to CAS (e.g., distributed and centralized) 
* Decision-making approaches in CAS 
* Methodologies for studying, analyzing, and building CAS 
* Frameworks for analyzing or developing CAS case studies 
* Languages, platforms, APIs and other tools for CAS 
* Scenarios, case studies, and experience reports of CAS in different contexts (e.g., Smart Mobility, Smart Energy/Smart Grid, Smart Buildings, traffic management, emergency response, etc.) 

## Scope 

The workshop is expected to attract participants from many disciplines, including (but not limited to) Autonomic Computing, Biology, Game Theory, Evolutionary Computing, Network Science, Self-Organizing Systems, Pervasive Computing, Collective Intelligence, and to be of interest to anyone working with the domain of large-scale self-adaptive systems. In addition, the European Commission has funded seven scientific projects and a Coordination Action in this area, with projects starting at the beginning of 2013. The proposed workshop provides a natural base for the projects to meet and share ideas, yet we stress that the workshop is in no way limited to this audience, and is likely to have broad appeal to a wide range of researchers. Potential audience members might work in application areas relating to large-scale distributed systems, or may come from any of the many disciplines that can provide insights into the operation and design of such systems.