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The 5th International Conference on Computer Applications Technology
Conference
Aug 17, 2026 at 7:10 PM
The 5th International Conference on Computer Applications Technology (CCAT 2026) Fukuoka, Japan during December 18-20, 2026.https://ccat.org/index.htmlThe conference is sponsored by Okayama University, Japan. It is technically sponsored by Concordia University, Canada; Loughborough University, UK; and National Taiwan University of Science and Technology, Taiwan.CCAT 2026 offers a platform for researchers and practitioners to exchange ideas on innovative uses of computers, the Internet, and software tools. It also addresses technology integration in engineering education and related assessment and dissemination issues.The conference aims to bridge academia and industry, facilitating knowledge exchange and research-to-industry dialogue. Professionals, industrialists, and students are welcome to share their research experiences and engage in interactive sessions.Important DatesSeptember 10th, 2026 Full Paper SubmissionOctober 5th, 2026 Notification DateOctober 20th, 2026 Registration DeadlineNovember 10th, 2026 Camera ReadyPapers and Proceedings Papers will undergo double-blind peer review by the technical committee. Accepted and presented papers will appear in the ACM ICPS, be archived in the ACM Digital Library, and be indexed in Ei Compendex, Scopus, and submitted for Thomson Reuters ISI Web of Science review. Call for PapersThe conference aims to share and disseminate, to all branches of industries, information on the most recent and relevant research, theories and practices in Computer Applications Technology. We welcome papers in, but not limited to, the following areas:Topic 1: Software Engineering and Modern DevelopmentSoftware Requirements and EngineeringSoftware Architecture, Design Patterns, and MicroservicesModern Programming Paradigms and LanguagesSoftware Quality Assurance, Verification, and ValidationEmpirical Software Engineering and MetricsFormal Methods in Software EngineeringAI-Augmented Software EngineeringSoftware Engineering for AI SystemsEmbedded, Real-Time, and Cyber-Physical Systems SoftwareMobile, Web, and Cross-Platform Application DevelopmentGame Design, Development, and Engine TechnologySustainable and Green Software Engineering Topic 2: Artificial Intelligence and Computational IntelligenceMachine Learning, Deep Learning, and Neural NetworksEvolutionary Computing and Meta-heuristic OptimizationNatural Language Processing and Large Language ModelsComputer Vision, Image, and Video ProcessingIntelligent and Adaptive Human-Computer InteractionFoundation Models, Generative AI, and Multimodal LearningExplainable AI, AI Safety, Fairness, and EthicsBig Data Analytics, Mining, and ManagementAI for Scientific Computing and DiscoveryAI in Healthcare, Bioinformatics, and Biomedical ApplicationsAI for Environmental Science and Sustainability Topic 3: Intelligent Systems and Industrial Informatics (Industry 4.0/5.0)Smart Manufacturing, Production, and Process ControlPredictive and Prescriptive MaintenanceIndustrial Internet of Things and Smart Sensor SystemsRobotics, Autonomous Systems, and Flexible AutomationMixed, Augmented, and Virtual Reality in IndustryIndustrial AI and Cognitive ManufacturingDigital Twins and Cyber-Physical Production SystemsSupply Chain Optimization and Cost ModelingSmart Cities, Urban Informatics, and Connected InfrastructureConnected and Autonomous VehiclesSustainable Industrial Systems and Green Computing Topic 4: Computer Systems, Networks, and CybersecurityOperating Systems and Distributed SystemsComputer Networks, Communication Protocols, and Next-Generation InternetHigh-Performance, Parallel, and Cloud ComputingEdge, Fog, and Mobile Edge Computing ArchitecturesCybersecurity, Cryptography, and Network SecurityDigital Forensics, Threat Intelligence, and Intrusion DetectionInformation Security, Privacy, and Trust ManagementBlockchain, Decentralized Applications, and Web3 TechnologiesSocial Network Analysis, Security, and Misinformation DetectionNeuromorphic Computing and Brain-Computer Interfaces
Asian Conference on Intelligent Information and Database Systems
Conference
Jul 30, 2026 at 12:58 PM
Asian Conference on Intelligent Information and Database SystemsBali, Indonesia 5–7 April 2027https://aciids.pwr.edu.pl/2027/index.html A long-standing tradition of international IT researchACIIDS 2027 is jointly organized by the Department of Applied Informatics at Wrocław University of Science and Technology, the IEEE Computer Society Indonesia Chapter, the Doctor of Computer Science program at BINUS University, and the International Institute of Applied Informatics.The conference is held in cooperation with the IEEE SMC Technical Committee on Computational Collective Intelligence, ERCIS, and a robust network of global academic institutions.All accepted submissions are published by Springer across two prestigious series (LNAI, CCIS) and submitted for indexing in major scientific databases.Important datesScope & topicsACIIDS 2027 invites high-quality submissions spanning theoretical research, methodological advancements, and real-world applications. The scientific program is organized into five thematic areas — submissions exploring emerging intersections of these fields are highly encouraged.Artificial Intelligence and Machine LearningFoundation models, deep learning and the algorithms driving modern intelligence●Generative AI and Foundation Models●Large Language Models (LLMs) and Prompt Engineering●Deep Learning and Advanced Neural Architectures●Reinforcement Learning and Multi-Agent Systems●Graph-Based Learning and Knowledge DiscoveryTrustworthy and Responsible AIExplainability, fairness, privacy and security for AI we can rely on●Explainable AI (XAI)●AI Ethics, Fairness, and Accountability●Bias Detection and Mitigation●Privacy-Preserving AI and Federated Learning●Robust and Secure Intelligent SystemsIntelligent Database SystemsBig data, knowledge graphs and scalable data integration and governance●Big Data Analytics and Stream Processing●Knowledge Graphs and Semantic Technologies●Heterogeneous and Distributed Data Integration●Data Governance and Database Security●Real-time Sensor and Spatial-Temporal DatabasesAdvanced Applications in Industry and ScienceAI in healthcare, manufacturing, robotics, IoT and enterprise systems●Intelligent Healthcare and Bioinformatics●Smart Infrastructure and Advanced Manufacturing●Cyber-Physical Systems and IoT●Autonomous Systems and Robotics●Supply Chain Optimization and Enterprise Systems●Digital Twins and Synthetic EnvironmentsHuman-Computer Interaction and Intelligent InterfacesLanguage, multimodal interaction, recommendation and immersive environments●Natural Language and Speech Processing●Multimodal Interaction and Affective Computing●Collaborative Intelligent Systems●Personalized Recommender Systems●Immersive Environments (VR/AR/XR) and AI
2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI)
Conference
Mar 3, 2026 at 7:19 PM
2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI)https://www.bdai.netSubmission Deadline: March 20th, 2026Notification Date: April 20th, 2026Big data and artificial intelligence are important fields for future scientific and technological development and industrial upgrading. The International Conference on Big Data and Artificial Intelligence is an academic conference initiated by Prof. Sheng-Uei Guan, Professor of Xi 'an Jiaotong-Liverpool University, and co-sponsored by many well-known universities and institutions at home and abroad. Since the first conference was held in Beijing in 2018, the conference has been held for 8 years. It has been focused on the original basic and applied research in the field of big data and artificial intelligence. BDAI attracts a large number of researchers from dozens of countries and regions, such as China, England, Finland, Russia, Thailand, Singapore, Turkey, Luxembourg, Germany, Malaysia, Japan, and Denmark.2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI) will be co-sponsored by Chongqing University of Science and Technology, China; IEEE China Council and IEEE from July 3-5, 2026 in Chongqing, China. This conference will focus on foundations of the original, either theoretical or applied research. It is suitable for experts and scholars in the field of big data and artificial intelligence. Papers can be submitted and presented for discussions. Industrial companies, incubators and investors are also welcome to join BDAI. The conference will provide a platform for scholars to interact and find new opportunities for science and technology development.Conference ProceedingsAll submissions will be peer reviewed, and the accepted papers will be published in the BDAI2026 Conference Proceedings by IEEE, Conference content will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex and Scopus, as well as other Abstracting and Indexing (A&I) databases.Call for PapersThe conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Big Data Models and AlgorithmsFoundational Models for Big DataAlgorithms and Programming Techniques for Big Data ProcessingBig Data Analytics and MetricsBig Data ArchitecturesCloud Computing Techniques for Big DataBig Data Open PlatformsBig Data in Mobile and Pervasive ComputingBig Data ManagementBig Data Persistence and PreservationBig Data Quality and Provenance ControlManagement Issues of Social Network Big DataBig Data Protection, Integrity and PrivacyModels and Languages for Big Data ProtectionPrivacy Preserving Big Data AnalyticsBig Data EncryptionBig Data ApplicationsAlgorithms and Systems for Big Data SearchMachine learning based on Big DataVisualization Analytics for Big DataArtificial IntelligenceIntelligent User InterfacesSoft ComputingNeural NetworksMachine LearningUncertainty in AIModel-Based ReasoningIndustrial applications of AITechnologies for Computational CommunicationBig Data Analytics for Online JournalismIntelligent Technologies for MediaIntelligent Information Processing and Applications Special SessionsSession 1: Human-Computer Interaction (HCI) in Intelligent Robotics and SystemsChair: Assoc. Prof. Haipeng Wang, Northwestern Polytechnical University, ChinaSession 2: Synergizing AI Innovations: From Perception to Prediction for Scientific Discovery and Complex Systems Chair: Prof. Huan Rong, Nanjing University of Information Science and Technology, ChinaSession 3: Artificial Intelligence and Security: Technologies, Risks, and Governance Chair: Assoc. Prof. Yang Bai, Chengdu University of Information Technology, ChinaSession 4: Intelligent Drive Data: The Fusion Revolution of Artificial Intelligence and Big DataChair: Dr. Ziyu Jia, Institute of Automation, Chinese Academy of Sciences, ChinaSession 5: Neurodynamic Optimization and Distributed ComputingChair: Dr. Jingxin Liu, Chongqing University of Science and Technology, ChinaCo-chair: Prof. Hengmin Zhang, East China University of Science and Technology, China
2025 IEEE Deep Learning and Computer Vision
General NEWS
Jan 6, 2025 at 2:05 AM
Call for Papers2025 IEEE 2nd International Conference on Deep Learning and Computer VisionJinan|ChinaApr. 18-21, 2025Full paper submission Deadline: Feb. 10th, 2025Acceptance Notification: Mar. 26th, 2025Registration Deadline: Apr. 11th , 2025Conference Date: Apr. 18-21st, 2025Link: https://www.icdlcv.orgContact: icdlcv@126.comYou are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to DLCV 2025 conference. Topics of interest for submission include:Track 1: Deep LearningMachine LearningUnsupervised LearningDeep Reinforcement LearningConvolutional Neural Networks (CNN)Deep Hierarchical Networks (DHN)Recurrent Neural Network (RNN)Neuro-Fuzzy AlgorithmsAutoencodersGraph Representation LearningClustering, Classification and RegressionEvolutionary MethodsAutonomic ComputingUser ModelingInformation Retrieval and ReuseQuestion-AnsweringCognitive ArchitecturesDeep Learning Approach in Recommendation SystemsTrack 2: Computer VisionBig data and computer visionBiomedical image analysisImage and video codingImage and video retrievalRemote sensing imageComputational photographyOptimization and method of studySensor and displayData collection and performance analysisComputer vision of deep learningDocument image analysisCharacter identificationAnalysis, behavior identityVisual modelsVideo analysisMultimodal information processingVisual and languageMotion and tracking3D reconstructionHuman-computer interaction