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2026 the 11th International Conference on Big Data Analytics (ICBDA)April 11-14, 2026 @ Waseda University, Tokyo, JapanLink: https://www.icbda.orgThe realm of Big Data analytics has recently captured significant attention across diverse research communities including computer science, information technology, and social sciences. The term "Big Data" has taken on widespread significance, reshaping realms such as science, engineering, medicine, healthcare, finance, business, and even society at large. In this context, the 11th International Conference on Big Data Analytics (ICBDA2026), serves as a premier platform for disseminating cutting-edge research findings in the field of Big Data Research, Development, and Application.ICBDA 2026 invites contributions from a broad spectrum of domains, encompassing, but not restricted to, Big Data Models and Algorithms, Big Data Architectures, Big Data Search and Mining, healthcare, social networks, and media applications. Authors are encouraged to submit papers covering a diverse array of big data topics, such as service-oriented technologies, machine learning, predictive analytics, data modeling, system architectures, data mining, and simulation. Critical DatesFull-paper Submission Deadline December 20th, 2025 Abstract Submission Deadline December 20th, 2025 Notification Deadline January 20th, 2026 Registration Deadline February 10th, 2026 Camera Ready Date February 20th, 2026 Conference Dates April 11-14, 2026 Paper ReviewAll papers will undergo a thorough peer review process. Accepted full papers that are presented at the conference will be published in proceedings. Publishing through IEEE provides authors with a reputable, global platform on which to share their research with an audience which includes corporate researchers, academia and government.Conference ProceedingsAfter a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the ICBDA 2026 conference Proceedings.Topics of InterestTopics of interest 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 MetricsRepresentation Formats for Multimedia Big DataBig Data ArchitecturesCloud Computing Techniques for Big DataBig Data as a ServiceBig 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 EncryptionSecurity Applications of Big DataAnomaly Detection in Very Large Scale SystemsCollaborative Threat Detection using Big Data AnalyticsBig Data Search and MiningAlgorithms and Systems for Big Data SearchDistributed, and Peer-to-peer SearchMachine learning based on Big DataVisualization Analytics for Big DataBig Data for Enterprise, Government and SocietyBig Data EconomicsReal-life Case Studies of Value Creation through Big Data AnalyticsBig Data for Business Model InnovationBig Data ToolkitsBig Data in Business Performance ManagementSME-centric Big Data AnalyticsBig Data for Vertical Industries (including Government, Healthcare, and Environment)Scientific Applications of Big DataLarge-scale Social Media and Recommendation SystemsExperiences with Big Data Project DeploymentsBig Data in Enterprise Management Models and PracticesBig Data in Government Management Models and PracticesBig Data in Smart Planet SolutionsBig Data for Enterprise TransformationBlockchainBlockchain based lightweight data structures for IoT dataBlockchain based IoT security solutionsBlockchain in cyber physical systemsBlockchain in social networkingBolckchain in crowdsourcing and crowdsensingBlockchain in 5GBlockchain in edge and cloud computingBlockchain and trust management

The 10th International Conference on Deep Learning TechnologiesJuly 17-19, 2026, Kunming, Chinahttps://www.icdlt.orgSubmission Deadline: March 1, 2026Notification of Acceptance: April 1, 2026Camera Ready Deadline: April 15, 2026Registration Deadline: April 15, 2026Conference Dates: July 17-19, 2026You are invited to attend 2026 10th International Conference on Deep Learning Technologies will be held during July 17-19, 2026 in Kunming, China. It's sponsored by Kunming University of Science and Technology, China, organized by the Faculty of Information Engineering and Automation of Kunming University of Science and Technology. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome. Please refer to the different submission categories under "Call for Papers" above for further details.Track 1: Deep Learning Model and AlgorithmRecurrent Neural Network (RNN) Sparse Coding Neuro-Fuzzy Algorithms Evolutionary Methods Convolutional Neural Networks (CNN) Deep Hierarchical Networks (DHN) Dimensionality Reduction Unsupervised Feature Learning Deep Boltzmann Machines Generative Adversarial Networks (GAN) Autoencoders Deep Belief Networks Meta-Learning and Deep Networks Deep Metric Learning Methods MAP Inference in Deep Networks Deep Reinforcement Learning Learning Deep Generative Models Deep Kernel Learning Graph Representation Learning Gaussian Processes for Machine Learning Clustering, Classification and Regression Classification ExplainabilityTrack 2: Machine Learning Theory and TechnologyNovel machine and deep learningActive learningIncremental learning and online learningAgent-based learningManifold learningMulti-task learningBayesian networks and applicationsCase-based reasoning methodsStatistical models and learningComputational learningEvolutionary algorithms and learningFuzzy logic-based learningGenetic optimizationClustering, classification and regressionNeural network models and learningParallel and distributed learningReinforcement learningSupervised, semi-supervised and unsupervised learningTensor Learning Deep and Machine Learning for Big Data Analytics:Deep/Machine learning based theoretical and computational modelsMachine learning (e.g., deep, reinforcement, statistical relational, transfer)Model-based reasoningTrack 3: Deep and Machine Learning ApplicationsDeep Learning for Computing and Network PlatformsRecommender systemsDeep Learning for Social media and networksDeep Learning in Computer VisionDeep learning in speech recognitionDeep Learning in Nature Language Processing,Deep Learning in Machine TranslationDeep learning in bioinformaticsDeep Learning in Medical Image AnalysisDeep Learning in Climate ScienceDeep Learning in Board Game ProgramsDeep and Machine Learning for Data Mining and KnowledgeTrack 4: Responsible AI, Security, and GovernanceAI safetyPrivacy preservationAlgorithmic FairnessFairness and ethicsClassification Explainability and Explainable AI (XAI)AI EthicsAI governanceGreen Deep LearningSynthetic Data GenerationSocial and Economic Impact of AISustainable AIAI Risk AssessmentThe accepted paper will be included into ICDLT 2026 Conference ProceedingsPUBLICATION HISTORYICDLT 2025 Proceedings - 979-8-4007-1852-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2024 Proceedings - 979-8-4007-1686-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2023 Proceedings - 979-8-4007-0752-0 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2017 Proceedings - 978-1-4503-5232-1 | ACM Digital Library | Ei & SCOPUS Index

2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE)Wuhan, China | April 17-19, 2026Link: https://cste.net/index.htmlSubmission Deadline: December 30, 2025Notification Deadline: January 30, 2026Registration Deadline: February 15, 2026Conference Venue: Central China Normal University (Nanhu Campus), Wuhan, Hubei, China2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE) will be held in Wuhan, China during April 17-19, 2026. CSTE 2026 is co-sponsored by Central China Normal University, China and IEEE, hosted by Faculty of Artificial Intelligence in Education, Central China Normal University, China.At CSTE 2026, participants will have the opportunity to engage with leading experts in education technology, and to gain insights into the latest research and best practices in the field. The conference will also provide a platform for networking and collaboration, enabling participants to build valuable connections with colleagues from around the world.Please visit our website for more information on the conference, including important dates, submission guidelines, and registration details. If you have any questions or concerns, please do not hesitate to contact us. We hope to see you in Wuhan in 2026!Submitted papers will be peer reviewed by program committees and technical committee, and accepted papers will be published into conference proceedings by IEEE after registration and presentation. The proceedings will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex & Scopus.Selected papers will be published into Lecture Notes in Educational Technology(Electronic ISSN: 2196-4971 & Print ISSN: 2196-4963) as a proceedings book volume, which has been accepted by Springer. Final publication will be subject to the manuscript review by Springer. Those papers will be sent to indexing databases like: Scopus, ACM Digital Library, ERIC, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago. Call for PapersTrack 1: Educational Technologies and Systems▪ E-learning platforms and tools▪ Computer-supported collaborative learning▪ Mobile and ubiquitous learning▪ Gamification and game-based learning▪ Virtual and augmented reality in education▪ Adaptive learning systems▪ Educational robotics and automation▪ Emerging technologies in education▪ Cloud computing in education▪ Immersive learning environments▪ Wearable technology in educationTrack 2: Computer-supported Collaborative Learning and Social Computing▪ Collaborative learning theories and models▪ Social computing and learning▪ Online communities and networks in education▪ Social media in education▪ Collaborative technologies in education▪ Computer-supported argumentation and debateTrack 3: Artificial Intelligence in Education▪ Intelligent tutoring systems▪ Natural language processing in education▪ Knowledge representation and reasoning in education▪ Intelligent educational systems and applications▪ Smart learning environments▪ Cognitive modelling and educational implicationsTrack 4: STEM Education and Computational Thinking▪ STEM education and pedagogy▪ Computational thinking and coding education▪ Robotics and automation in STEM education▪ Computational modeling and simulation in education▪ Educational applications of Internet of Things▪ Digital fabrication and maker educationTrack 5: Educational Data Mining and Learning Analytics▪ Data-driven approaches to education▪ Learning analytics and visualization▪ Educational data mining and machine learning▪ Big data in education▪ Personalized learning▪ Educational decision making▪ Assessment and evaluation in e-learningTrack 6: Digital Technologies for Human Development▪ Digital technologies for social-emotional learning▪ Digital technologies for psychological wellbeing▪ Digital technologies for self-management and regulation▪ Digital technologies for teacher development▪ Digital technologies for labor/moral/character education▪ Sustainable development in a digital world▪ Innovative solutions to address educational inequityTrack 7: Inclusive EdTech: Diversity, Equity, and Innovative Pedagogies▪ AI-enhanced pedagogy for diverse learners▪ Learning analytics-driven differentiation▪ Accessible immersive learning pedagogies▪ Culturally responsive edtech solutions▪ Equity-focused digital assessments▪ Micro-credentialing for diverse learners▪ Smart pedagogy training for educators▪ Multilingual learning support in EdTech▪ Inclusive gamification frameworks▪ Student-centered digital pedagogy▪ AI-augmented project-based learning▪ Hybrid flipped classroom models▪ UDL-based digital resource design

SN Computer SciencePublication type: Journals (Q2)ISSN: 26618907, 2662995XH-Index: 49Publication Fee: £2290.00 GBP / $3190.00 USD / €2590.00 EUR.Link: https://www.scimagojr.com/journalsearch.php?q=21101083109&tip=sid&clean=0SPRINGER NATURE Link: https://link.springer.com/journal/42979?IFASN Computer Science is a broad-based, hybrid, peer reviewed journal that publishes original research in all the disciplines of computer science including various inter-disciplinary aspects. The journal aims to be a global forum of, for, and by the community and offers:Rapid peer review under the expert guidance of a global Editorial BoardNo color or page charges and free submissionHigh visibilityOpportunities to Societies/Conferences/Institutes/Laboratories/Corporates to ‘partner’ with the Journal and enjoy the benefit of planning and publishing issues in hot areas of research, without being under the pressure of publishing a full-fledge journalSN Computer Science welcomes submissions from a wide range of topics including, but not limited to:Artificial IntelligenceRoboticsMachine learningComputer VisionPattern RecognitionImage ProcessingComputer GraphicsHuman-Computer InterfaceDocument and Handwriting ProcessingVideo TechnologiesBiometrics and Computer ForensicsSoft ComputingBrain ComputingQuantum ComputingInformation RetrievalInternet Computing and Data MiningTheoretical Computer Science: Logic, Algorithms, and ComplexityAutomated Proofs and Formal VerificationComputational GeometryInformation TheorySpeech and Signal ProcessingAlgorithms and Data StructuresProgramming LanguagesSoftware EngineeringComputer ArchitectureComputer and Communication NetworksComputer and Network PerformanceModeling and SimulationEnergy Consumption and Harvesting Computers & NetworksGreen ICTComputer and Network Security/PrivacyCryptographyHigh Performance ComputingParallel Computing and ArchitectureDistributed and Cloud ComputingSocial NetworksDatabase Systems and TheoryComputers and Networks in Supply Chains and ManufacturingComputers and Networks for Health SystemsComputational Biology and BioinformaticsCyber-Physical SystemsInternet of Things (IoT)Mathematical Programming and Combinatorial OptimizationEconomics and ComputationSN Computer Science publishes papers in the following categories: Original Research, as well as relevant hardware, and/or software architectures, Survey and Review Articles. All papers are evaluated on the basis of scientific content. Submissions are first screened for research and publication ethics prior to peer review. The journal reviews each submission from a sound science perspective.SN Computer Science is an online-only journal and its print ISSN (2662-995X) is ceased.

Call for PapersVenue: Melbourne, AustraliaFull Paper Submission Deadline: January 25, 2025 (Final Call!!!)Acceptance Notification Date: February 10, 2025Registration Deadline: February 15, 2025Camera-Ready Paper Submission: February 15, 2025Conference Dates: March 12-14, 2025Link: https://www.icint.org/index.htmlSubmitted papers will be strictly reviewed by technical program committee. Accepted papers will be published in ICINT2025 Conference Proceedings, which will be archived in IEEE Xplore, and submitted to be indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in ICINT 2025 to share their research results. Publication News:The proceedings of ICINT 2023 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus.The proceedings of ICINT 2022 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus. 2025 10th International Conference on Information and Network Technologies (ICINT 2025) aims to provide a leading international forum for researchers, practitioners, and professionals from the industry, academia and government to share their new ideas, progresses and achievements in information and network technologies and related fields. ICINT 2025 will be held in Melbourne, Australia during March 12-14, 2025, which is co-sponsored by La Trobe University and IEEE; technically-sponsored by University of the Ryukyus.The conference calls for high-quality, original research papers in the theory and practice of information and network technologies. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in information and networking technologies.CONFERENCE SCOPEThe conference provides an international forum for researchers to report their latest innovations, summarize state-of-the-art in the field, as well as exchange ideas, results, and visions in all fields of information and network technology research and applications. The main topics of interest include, but are not limited to:Advanced Computational Science and ApplicationsAdvanced IT Medical EngineeringAdvanced Management Information Systems and ServicesArtificial IntelligenceBio-inspired Computing and ApplicationsComputer Architecture & VLSIAugmented RealityData CommunicationsData mining applicationsDigital Signal and Image ProcessingExpert SystemsInformation SystemsInformation Retrieval Knowledge Data EngineeringInternet and Web ApplicationsSensor TechnologyWireless Communication and Mobile ComputingWireless Sensor NetworksArtificial IntelligenceDatabase & Data MiningComputer Networks & CommunicationsComputer ArchitectureParallel & Distributed SystemsInternet & its ApplicationsMultimedia & Visual ProgrammingHuman Computer InterfaceVirtual Reality SystemsE-CommerceComputer and network SecuritySoftware EngineeringDistance Learning and e-educationSensor Data ProcessingNeural NetworksComputer SimulationNatural Language ProcessingMachine LearningAspect Oriented Software Development AOSDPattern RecognitionInformation Security (Communication Security/NetworkSecurity/Data Security) GIS Technology and Application3D DisplayMedia and Societal InnovationE-EducationCyber Physical Systems