[hpc-announce] CFP IEEE SITIS2023: Track on Intelligent Systems, Services, and Application

IEEE SITIS CONFERENCE kokou.yetongnon at u-bourgogne.fr
Wed Jun 28 23:49:56 CDT 2023


Dear Colleagues 
Please consider submitting your research paper (completed research or research in progress) to the Track on 
Intelligent Systems, Services, and Applications (ISSA) of the 17th IEEE International Conference on 
Signal Image and Internet Based Systems, to be held at the Hotel Berkeley Pratunam, Bangkok, Thailand. 

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CALL FOR PAPERS! (Our apologies if you receive multiple copies of this CFP) 
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2023 IEEE–17th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS 2023) 
Track INTELLIGENT SYSTEMS, SERVICES AND APPLICATIONS (ISSA) 
November 8th – November 10th, 2023 
Venue: The Berkeley Hotel Pratunam 
Bangkok, Thailand 
https://www.sitis-conference.org/2023/ 

*** Important dates 
Paper Submission: August 31, 2023 
Acceptance/Reject notification: September 30, 2023 
Camera ready: October 6, 2023 
Author registration: October 6, 2023 

*** AIM AND SCOPE The ISSA (Intelligent Systems, Services and Applications) track of the 17th international conference SITIS will focus on recent concepts, architectures, protocols, and methodologies for emerging AI development and information management issues in modern distributed systems such as Cloud, Edge, Fog, and IoT. Nowadays, an unlimited number of smart objects relate to the scope of making our environment more interactive. Information can be exchanged easily, tasks can be processed collaboratively, devices and objects can be efficiently connected, and communities of users with similar interests can be formed to achieve their goals proficiently and improve performance. 

New issues and challenges are emerging in this pervasive and collaborative world, ranging from the need for high-accurate AI and decision systems able to adapt to changing environments to the need to protect the users' safety, security, and privacy, which are increasingly seen as yet another component of these systems. To address the above issues and challenges, modern systems and applications are increasingly based on ML/AI models made available thanks to the vast amount of data and the increased networking performance (e.g., 5G low latency). “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. 

Novel architectures and solutions are being proposed promoting this incoming Intelligent Web era, ranging over enhanced machine-to-machine communications, resource sharing and processing of linked data and devices, distributed computing and cooperative systems, mobile information systems and services, semantic-based applications and intelligent data processing, advanced distributed learning and AI model ensemble strategies to state a few examples. On top of this, novel data security and privacy protocols, as well as assurance and certification approaches, need to be designed and implemented to guarantee a given level of trustworthiness and reliability on modern systems and applications. ISSA track aims to provide an international forum for researchers, professionals, and industrial practitioners to share their experiences and knowledge in this growing and highly important area of Internet and Web technologies. 

*** The topics of interest of the track include, but are not limited to: 
Data semantics and Web-Centric Systems 
Ontologies and Conceptual Data Modeling 
Knowledge Representation and Reasoning 
Semantic Data Integration and Ontology Engineering 
Social Media and Social Semantics 
Folksonomies and Emergent Semantics 
Web/Data Mining and Machine Learning 
Recommender Systems and Crowd-sourcing 
Semantic Data Indexing, Search, and Retrieval 
Multimedia Data Modeling and Visualization 
Semantics in Data Access, Visualization, and User Interfaces 
Semantic Technologies for Mobile Platforms 

Big Data Management and Analytics 
Theoretical Models for Big Data 
Computational Models for Big Data 
Data and Information Quality for Big Data 
Big Data Models, Representation Formats, and Algorithms 
Big Data Semantics and Knowledge Organization 
Big Data Architectures and Storage 
Descriptive, Predictive, and Predictive analytics on Big Data 
Machine Learning Algorithms for Big Data 
Big Data Integration Architectures and Techniques 
Graph Modeling, Storage, and Analytics 

Service-based Computing 
Data and Knowledge as a Services 
Web Services, Mobile services, and Service Computing 
Software Architecture and Middleware 
Semantic and Intelligent Services 
Service Discovery, Selection, and Recommendation 
Service Composition and Service-based data Integration 
Business Process as a Service (BPaaS) 
Health Informatics as a Service (HIaaS) 
Financial Software as a Service (FSaaS) 
Education as a Service (EaaS) 

Intelligent Services and Applications 
Future Networks for Cloud Edge Fog and IoT 
Artificial Intelligence in Edge/IoT computing 
Distributed Ontologies and Contextual Reasoning 
Semantic Interoperability and Semantic Mediators 
Collective Knowledge and Collective Intelligence 
Data Analysis and Visualization for health and Smart Cities 
Smart Homes and Independent Living 
Intelligent Service Discovery, selection, and composition 
Service-based data Integration 
Business Process as a Service (BPaaS) 
Health Informatics as a Service (HIaaS) 
Ecosystem services and management 

Information Security and Privacy 
Security Modeling and Access Control Protocol 
Web Security and Trust Management 
Fundamental Security Services on Network and Distributed Systems 
Security and Privacy for Emerging Technologies 
Big Data Security Protection, Confidentiality, Integrity, and Privacy 
Next generation 5G/6G Network Security 
Dependable and Reliable services 
Assurance/testing and monitoring of security properties 
Trustworthy/Certified AI/ML 
Trustworthy AI/ML 
Certified AI/ML 

*** Submission and publication 
Each submission should be at most 8 pages in total, including bibliography and well-marked appendices, and must follow the IEEE double columns publication format. You can download the IEEE conference templates – Latex and MS Word A4 – at the following URL: https://www.ieee.org/conferences/publishing/templates.html Submissions will be peer-reviewed by at least two reviewers. Papers will be evaluated based on relevance, significance, impact, originality, technical soundness, and quality of presentation. At least one author should attend the conference to present an accepted paper. All papers accepted for presentation at the main tracks and workshops will be included in the conference proceedings, which will be published by the IEEE Computer Society and referenced in IEEE Xplore Digital Library, Scopus, DBLP and major indexes. Paper submission will only be online via EasyChair: https://easychair.org/conferences/?conf=sitis2023 

*** TRACK CHAIRS 
Ana Roxin, University of Bourgogne, France 
Kokou Yetongnon, University of Bourgogne, France 

*** Registration At least one author of each accepted paper must register for the conference and present the work, in presence or remotely. 
A single registration allows attending both track and workshop sessions. Further information is available on the registration page : 
https://www.sitis-conference.org/2023/attend/registration/ 

*** Venue 
The 17th edition of the SITIS conference will be held in the vibrant city of Bangkok, Thailand, in The Berkeley Hotel Pratunam : https://www.sitis-conference.org/2023/attend/hotel-information/ 

*** WORKSHOPS 
--------------- 
Several workshops are co-located with the SITIS2023 conference. A complete list of the workshops can be found on the conference web site. 

*** Technical co-sponsoring by: 
IEEE Computer Society 
IEEE Computer Society Technical Committee on Multimedia Computing 
IFIP 
ACM SIGAPP.fr 



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