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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

The 12th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modelinghttps://aparm2026.comThe 12th Asia-Pacific International Conference on Advanced Reliability and Maintenance Modeling (APARM 2026) will be held from July 1–4, 2026, in Singapore. As a premier biennial event in the Asia-Pacific region, APARM serves as an important forum for sharing the latest advancements and research findings in reliability and maintenance engineering.Reliability and maintenance technologies play a crucial role across a wide range of fields — including power systems, communication networks, transportation, cloud computing, electronic systems, buildings and infrastructure, medical and healthcare technologies, aviation, and railway systems. These technologies form the backbone of a safe, efficient, and sustainable society.The aim of APARM 2026 is to bring together researchers, engineers, and professionals from academia, industry, and government to exchange ideas, discuss challenges, and explore innovative solutions that enhance system reliability and sustainability in an increasingly complex world.We warmly invite you to join us in Singapore — a vibrant global hub known for its innovation, cultural diversity, and technological excellence — to engage in fruitful discussions and build lasting collaborations at APARM 2026.Key DatesSubmission Deadline: March 31, 2026Notification Deadline: April 30, 2026Registration Deadline: May 15, 2026Camera Ready: June 10, 2026VenueShaw Foundation Alumni House, National University of SingaporeAddress: 11 Kent Ridge Drive, Singapore 119244Call for PapersAPARM2026 (The 12th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling) is the biennial reliability conference in the Asia-Pacific region. Its purpose is to share advanced knowledge and information related to reliability and maintenance. Reliability and maintenance is the technology required in various fields such as power systems, communication networks, transportation, cloud computing, electronic systems, buildings and infrastructure, medical and healthcare, aviation and railway systems. It is also the foundation of a sustainable society. The goal of this symposium is to bring together reliability researchers from the Asia-Pacific region to discuss and explore solutions to the various reliability challenges facing society. Topics of interest include (but are not limited to)Manufacturing System ReliabilitySoftware Reliability & TestingCommunication SystemsReliability ModelingHuman ReliabilityBayesian ReliabilityFuzzy ReliabilityNetwork Reliability & OptimizationSafety & Risk AssessmentCyber SecuritySecurity IssuesInternet Reliability EngineeringService & ReliabilityEstimation & Statistical TestingSurvival AnalysisWarranty AnalysisResilienceComputer Systems ReliabilityDesign for Six SigmaFault Tolerant ComputingMaintenance OptimizationMaintainability & AvailabilityReliability PhysicsAccelerated Degradation TestingAccelerated Life TestingBig DataData Mining & AnalyticsDiagnosticsPredictionRemaining Life EstimationCondition MonitoringEngineering Asset ManagementMachine Health Assessment

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 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026)Fukuoka, Japanhttps://www.ic4e.net/index.htmlWelcome to the 17th IC4e 20262026 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e) will be held at Kyushu University Fukuoka, Japan during April 1-4, 2026.Conference Theme: "Innovating E-Systems for a Smarter Future"E-education, e-business, e-management, and e-learning are vital pillars of the digital society's development. With the deep integration of cloud computing, artificial intelligence, and big data technologies, these fields are undergoing rapid transformation. E-education breaks traditional educational boundaries of time and space, e-business accelerates the digitalization of global trade, e-management enhances the efficiency of public services and business operations, and e-learning optimizes knowledge dissemination and learning experiences. These domains have become central drivers of technological innovation and sustainable socio-economic development.The 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e 2026) will be held in Fukuoka, Japan during April 1-4, 2026, sponsored by IEEE, and co-sponsored by Rajamangala University of Technology Tawan-ok, Thailand with patrons from Purdue University Northwest, USA, De La Salle University-Manila, Philippines, China West Normal University, China, Bulacan State University, Philippines, and Prince Sultan University, Saudi Arabia.Call for Papers The 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026), with the theme "Innovating E-Systems for a Smarter Future," serves as the premier forum for presenting new advances and research results in the fields of theoretical, experimental, and applied E-Education, E-Business, E-Management, and E-Learning. This conference will bring together leading researchers, engineers, and scientists worldwide to share their latest research, insights, and developments in these domains. Topics of interest for submission include, but are not limited to:e-Education:Innovative e-learning technologies and platformsSystems, Design and TechnologiesPractices and cases in e-educationSystems and technologies in e-educationApplications and integration of e-educatione-learning evaluation and contentCampus information systemse-learning technologies, standards and systemsMobile learningComputer aided assessmentsKnowledge managementVirtual learning environmentsMultimedia in e-learningMarketing and promoting e-learningSocial benefits of e-learningOrganization learningTechnology adoption and diffusion of e-learninge-Business:Mobile and pervasive commerceElectronic Markets and Multiagent SystemsDigital goods and productsB2B, B2C, and C2C modelsAgent-mediated e-Commercee-Marketplaces, e-Hubs, and portalsPervasive technologies for eCommerceDynamic pricing modelsP2P-computing for e-Commercee-Payment systemse-Commerce content managementConsumer protection in eCommerceUser behavior modelingInnovative business modelsEnterprise application integrationBusiness process re-engineeringVirtual enterprises and virtual marketsVirtual organizations and coalitionsMobile businesse-Learning:Systems, Design and Technologiese-Learning platformsCourse designEmerging and best practicesPartnerships in e-LearningEvaluation of e-Learninge-Learning strategiesSocial benefits of e-Learninge-Learning effectiveness and outcomesWeb-based learningSecurity and confidentialitySelf-learning integrated methodologyAmbient intelligenceAssertive and assistive educational technologyComputer-aided assessmentLearning content management systemsAV-communication and other mediaDigital classroomsBlended learningCollaborative on-line learninge-Management:Leadership in the digital eraKnowledge management systemse-Audite-Control and Risk Managemente-Planninge-Organisinge-Supervisione-Politicse-Communicatione-RecruitmentSystems, Design and TechnologiesKnowledge ManagementTechnology Adoption and Diffusion of eManagemente-Management Strategiese-Management Effectiveness and OutcomesSocial Benefits of e-ManagementCurrent Trends in e-ManagementThreats in e-Management

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.

Energy Informaticshttps://www.scimagojr.com/journalsearch.php?q=21101048366&tip=sid&clean=0Indexing servicesThe full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by SpringerOpen on SpringerLink. We are working closely with Web of Science (Clarivate Analytics) to ensure that articles published in Energy Informatics will be available in their databases when appropriate. The journal is currently indexed in the following databases:SCOPUSEi CompendexDOAJInstitute of Scientific and Technical Information of ChinaNaverProQuestOCLC WorldCat Discovery ServiceEBSCOGoogle Scholar Article processing charges (APC)Authors who publish open access in Energy Informatics are required to pay an article processing charge (APC). The APC price will be determined from the date on which the article is accepted for publication.The current APC, subject to VAT or local taxes where applicable, is: £940.00/$1490.00/€1190.00Visit our open access support portal and our Journal Pricing FAQs for further information. Aims and scopeThis journal aims to provide a unique platform for researchers and practitioners of energy informatics in various scientific, technological, engineering and social fields to disseminate original research on the application of digital technology and information management theory and practice to facilitate the global transition towards sustainable and resilient energy systems.The journal publishes essential, peer-reviewed, interdisciplinary research addressing scientific, engineering and business topics related to energy, including but not limited to:Innovation in data-driven energy services and business modelsBig Data-driven smart Energy Management SystemsManagement of data and information flow in the Digital Energy System 4.0Data analytics for energy-cost efficient system operationPrivacy issues in energy data managementDigitalization of energy production, delivery and consumption, including policy and strategyDigital technologies for enabling energy-aware user behaviorContextual computing for supporting human and energy system interactionsEnergy-efficient Cloud Computing and data centersCyber security issues for safe and reliable Smart grid operationSocial media’s role in the transition towards sustainable energyApplication of Artificial Intelligence and Agent-based technology in smart energy systemsModel-based and data-driven energy forecasting, including energy production and useManagement of public and private procurement of digital energy technologySocioeconomic opportunities and barriers for adoption of digital energy technologiesSociotechnical aspects related to design and implementation of smart energy systemsInnovation management in smart energy business eco-systemsDigital entrepreneurship in emerging energy marketsSmart grid communication architectures and protocols for improving grid resiliency, including graceful degradation and self-healingDemand-side management, including demand response, dynamic pricing and incentive designMicrogrid and distributed generation management and controlMonitoring and control of Smart Buildings, including Smart Grid interoperability