Conférences  >  Informatique  >  Gestion des connaissances, Big Data Computing

Keio University

The Organizing Committee is pleased to announce that the 2026 The 9th International Conference on Software Engineering and Information Management (ICSIM 2026) will be held in Yokohama, Japan, on January 21-23, 2026. ICSIM 2026 will be proudly sponsored by Keio University, one of Japan's most prestigious institutions, renowned for its excellence in research and education in the fields of technology and management.

Email.: emmaawang2019@sina.com

???? Track 1: Advanced Software Engineering and Development: Software Architecture and Design Patterns; Agile Development and DevOps Practices; Software Testing, Verification and Validation; Requirements Engineering and Management; Component-Based and Service-Oriented Software Engineering; Object-Oriented and Model-Driven Development; Software Reuse, Maintenance and Evolution; Software Metrics and Quality Assurance; Secure and Reliable Software Systems. ???? Track 2: Intelligent Systems: AI-Assisted Software Engineering; Machine Learning in Software Development; Natural Language Processing Applications; Intelligent Agents and Multi-Agent Systems; Knowledge Representation and Reasoning; Blockchain for Software and Data Management; Quantum Computing and Software Systems; Digital Twin and Smart Applications; Autonomous and Self-Adaptive Systems. ???? Track 3: Information Systems and Data Engineering: Data Mining and Knowledge Discovery; Big Data Analytics and Infrastructure; Information Retrieval and Search Technologies; Cloud Computing and Edge Intelligence; Semantic Web and Linked Data; Distributed and Parallel Information Systems; Database Systems and Applications; Data Governance and Information Lifecycle Management. ???? Track 4: Communication and Cyber-Physical Systems: Wireless and Mobile Communication Systems; Next-Generation Network Architecture (5G/6G); IoT and Embedded Systems; Cyber-Physical Systems and Industrial IoT; Distributed and High-Performance Computing; Network Security and Intrusion Detection; Smart Sensor Networks and Real-Time Systems; Middleware and Interoperability Solutions.

Educational Technology is the effective use of technological tools in learning. As a concept, it concerns an array of tools, such as media, machines and networking hardware, as well as considering underlying theoretical perspectives for their effective application. The future of educational technology looks further promising as the learner and the tutor both would be engaged simultaneously. Teaching in a classroom would be like a movie, lesson plans would be mounted on headsets and students would be encouraged to explore with their tutor. Imagine, biology being taught by immersive technique.

Email.: Dunn@iact.net

Technological Issues in Education: e-Learning; Mobile learning: Phones, Tablets… Apps for education; Blended Learning; Web classroom applications; Online/Virtual Laboratories; Classroom and Laboratory: Integration; Managed Learning Environments (MLEs); Learning Management Systems (LMS); Technology-Enhanced Learning; Industry and Business Innovation; Identity Management; Augmented Reality; Cloud Computing; ICT skills and competencies among teachers; ICT enhanced language teaching and learning; Computer Supported Collaborative Work: Collaborative Virtual Environments (CVEs); Virtual Learning Environments (VLEs); Web 2.0 and Social Networking: Twitter, Blogs, Wikis … Social Media in Education; Experiences in Web Technologies in Education; Training the e-trainer.

IADIS

The IADIS Information Systems Conference (IS 2026) aims to provide a forum for the discussion of IS taking a socio-technological perspective. It aims to address the issues related to design, development and use of IS in organisations from a socio-technological perspective, as well as to discuss IS professional practice, research and teaching.

Conference Secretariat;     Email.: secretariat@is-conf.org

IS in Practice, Technology Infrastructures and Organisational Processes; IS Professional Issues; IS Learning and Teaching; IS Design, Development and Management Issues and Methodologies; and IS Research

KAOUN International

Accelerated by GITEX GLOBAL, the world’s largest tech and startup show, GITEX ASIA x AI EVERYTHING SINGAPORE unites global AI pioneers, digital infrastructure leaders, frontier startups, strategic investors and policymakers to accelerate transformation across every major sector. From public-private collaboration to enterprise adoption, the show delivers real outcomes, deep partnerships, and future-defining breakthroughs - live from Singapore, Asia's capital of Innovation.

GITEX ASIA MARKETING;     Tél.: [0555732365];     Email.: marketing@gitexasia.com

Sécurité des systèmes d'information et protection de données,    Conception et gestion des bases de données, Moteurs de recherche et extraction de connaissances à pa

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Autonomous AI agents, empowered by recent advances in Large Language Models (LLMs) and generative AI, are rapidly changing how we interact with, structure, and reason about information. These "agentic" systems go beyond static analysis – they act: interpreting their environment, interacting with humans and other agents, and autonomously executing tasks. This evolution opens new doors for knowledge engineering, especially in the context of increasingly complex, dynamic, and human-centric information spaces. While traditional knowledge engineering emphasized structured symbolic representations (e.g., ontologies, knowledge graphs) and formal reasoning, modern generative agents leverage machine-learned representations and natural language interfaces to emulate intelligent behavior. However, this comes with new challenges: How can we ensure such agents are interpretable, controllable, and aligned with human expectations? What is the role of hybrid systems that combine symbolic reasoning and statistical learning? This meeting will explore agentic AI as a foundation for the next generation of knowledge engineering systems – those that not only understand and transform data, but can also autonomously interact, reason, and collaborate.

Jeju National University

ICBDC2026 is technically co-sponsored by Jeju National University, Korea, Sensors and System Society of Singapore, supported by Chulalongkorn University, Thailand. The aim of ICBDC 2026 is to present the latest research and results of scientists related to Big Data and Computing topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field.

Email.: Dunn@iact.net

Algorithmic, experimental, prototyping and implementation; Big Data Algorithms, Applications and Services; Big Data Mining and Analytics; Big Data Processing and Querying; Cloud and Big Data for Internet of Things (IoT); Computing, scheduling and resource management for sustainability; Government and Industrial Experiences for Cloud and Big Data; Green Computing and Networking Technologies for Cloud and Big Data; Green data centers / environmental-friendly perspectivesGreen data centers / environmental-friendly perspectives; Software Engineering for Cloud Computing and Big Data; Software, hardware and algorithm co-design, high-performance computing; Software and tools for big data management; Cloud Computing Solutions and Platforms; Privacy and Security for Cloud and Big Data; Big Data Visualization; Big Data Education; Data quality issues: such as validation, metrics, optimizations and consistency; Data-driven innovation, computational modelling and data integration; Data intensive computing theorems and technologies; Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The aim of this Dagstuhl Seminar is to bring together researchers from different subfields of computer science that study or use techniques in knowledge compilation.

MIPRO Croatian Society

The Business Intelligence Systems and Big Data Processing (BIS-BDP) conference focuses on modern applications and technologies for gathering, accessing, and analyzing data to support deeper insights into business operations. Building on a strong foundation in data warehousing (DW) and traditional multidimensional analysis, the scope has expanded to include real-time, spatiotemporal, and distributed data processing. Special attention is given to the role of artificial intelligence (AI), particularly generative AI, in transforming how organizations extract insights from data.

Email.: boris.vrdoljak@fer.hr

Data Warehouse and OLAP, Modern DW Architecture, Business Intelligence, Big Data Analytics, Big Data Processing, Big Data Analytics Applications, Data-Centric AI, Predictive and Descriptive Analytics and its Application, Analytics for the Cloud Infrastructure, SNA, Analytics for Data Streams and Sensor Data, Edge Analytics, Analytics for Temporal, Spatial, Spatio-temporal and Mobile Data, Text, Web and Sentiment Analysis, Semantic Web and Semantic Data Integration, AI-powered Business Intelligence and Decision Support Systems, Machine Learning Applications in Business and Industry, Generative AI for Automated Report Generation, Text Summarization, and Data Narratives, AI-driven Forecasting and Strategic Planning, XAI in Business Intelligence, Responsible and Ethical Use of AI in Business Data Analytics, Integration of LLMs in Business Systems, Human-AI Collaboration in Decision-Making Processes, AI for Anomaly Detection, Risk Analysis, and Fraud Detection, Generative AI in Customer Support, Personalization, and CRM, AI-augmented Data Visualization and Dashboards, Use of AI and GenAI in Educational Data Analytics and Adaptive Learning Systems, Intelligent Agents and Autonomous Business Systems, AI in Enterprise Knowledge Management and Semantic Reasoning, Natural Language Interfaces for Business Data Exploration, Education Management Information Systems, BPM, Integration of Digital Twin and Big Data Technology, Prescriptive Analytics and Optimization Systems

Calcul distribué, cloud computing, informatique en périphérie,    Conception et gestion des bases de données, Moteurs de recherche et extraction de connaissances à pa

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Explainable AI; Knowledge Representation; Neuro-Symbolic AI; Machine Learning

3D GeoInfo | SDSC | LADM & 3D LA 2026, the co-located 21st International 3D GeoInfo Conference 2025, 10th International Smart Data and Smart Cities Conference and 14th International FIG Workshop on LADM & 3D LA, will be held in Sofia, Bulgaria on 28th September - 2nd of October 2026. The event is hosted by the Big Data for Smart Society (GATE) Institute, Sofia, Bulgaria.

Métrologie et instrumentation,    Observation de la Terre, système d'information géographique