News & Activities

The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026)23-25 April , 2026, Krabi, ThailandLink: https://ieai.net/index.htmlSubmission Deadline: December 30, 2025Acceptance Notification: February 2, 2026Registration Deadline: February 28, 2026Conference Dates: April 23-25, 2026The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026) will be held in Krabi, Thailand, 23-25 April , 2026. It is a premier forum dedicated to the convergence of industrial engineering and artificial intelligence (AI). As industries worldwide rapidly adopt AI to enhance efficiency, productivity, and innovation, this conference aims to explore the latest advancements, research, and applications at this intersection.Key topics of interest include smart manufacturing, robotics, machine learning, predictive maintenance, digital twins, and the integration of AI into industrial processes. As we stand on the brink of the Fourth Industrial Revolution, IEAI 2026 will serve as a critical venue for discussing how AI can drive innovation and sustainability in industrial systems.Whether you are an academic researcher, a practitioner in the field, or an industry leader, IEAI 2026 will offer valuable insights and opportunities to engage with the cutting-edge developments that are shaping the future of industrial engineering and artificial intelligence.IEAI PublicationThe submitted papers will be peer reviewed by Technical Committee. Accepted papers will be published in the International Conference Proceedings. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conferenceCall for Papers1. Applications of AI in Industrial EngineeringIntelligent Manufacturing SystemsAI-Driven Process OptimizationSmart Factories and Industry 4.0AI for Predictive Maintenance in Industrial SystemsRobotics and Automation in ManufacturingAI in Supply Chain and Logistics OptimizationData-Driven Decision Making in Industrial Environments2. Industrial Optimization and AIAI for Industrial Scheduling and PlanningMulti-Objective Optimization using Machine LearningAI-Enhanced Process Control SystemsEnergy Efficiency Optimization in Manufacturing using AIAI-Enabled Simulation and Modeling for Industrial Systems3. AI for Quality Control and Safety in IndustryMachine Learning in Industrial Quality ControlAI for Predicting Failures and Defects in Production LinesSafety Monitoring and Hazard Prevention in Industrial 4. Artificial Intelligence in Industrial Supply ChainsAI and Blockchain Integration for Industrial Supply ChainsSupply Chain Management with Deep Learning TechniquesAI in Logistics and Transportation NetworksData Analytics for Improving Inventory Management in IndustryAI for Risk Management and Resilience in Supply Chains5. Smart Manufacturing and IoTIoT and AI Integration for Real-Time Industrial MonitoringAI in Predictive Maintenance using IoT SensorsDigital Twin Technology for Industrial ApplicationsAI-Driven Decision Support Systems in Industrial Operations6. Industrial Robotics and Autonomous SystemsAI and Machine Learning in Industrial RoboticsAutonomous Mobile Robots in ManufacturingHuman-Robot Collaboration in Industrial EnvironmentsAI for Vision-Based Robotic Systems in Production Lines7. AI in Industrial Process AutomationDeep Learning for Process Automation in IndustryIntelligent Automation Systems in Industrial EnvironmentsAI-Driven Adaptive Control Systems for Industrial ProcessesEdge AI for Real-Time Process Control and Decision Making8. AI-Enabled Sustainability in Industrial SystemsAI for Sustainable Manufacturing PracticesMachine Learning for Energy Consumption OptimizationSmart Waste Management and Recycling Systems using AIAI Solutions for Reducing Carbon Footprint in Industrial Operations9. AI for Data-Driven Industrial Decision MakingPredictive Analytics for Industrial Process ImprovementAI in Industrial Big Data AnalyticsDecision Support Systems using AI in Industrial OperationsMachine Learning for Process Optimization in Real-Time Manufacturing10. AI in Industrial Human-Machine InteractionHuman-Centered AI Design for Industrial ApplicationsAI for Improving Human Performance in Industrial SystemsCognitive Computing and Human Factors in Industrial AIAI and Virtual Reality for Industrial Training and Simulation11. AI and Industrial CybersecurityAI for Threat Detection and Prevention in Industrial NetworksIndustrial Cybersecurity with Machine LearningAI-Driven Risk Management for Industrial IoTAutonomous Systems for Securing Critical Infrastructure in Industry12. AI in Smart Energy and Industrial SystemsAI for Smart Grid and Industrial Energy ManagementAI in Energy Optimization for Industrial FacilitiesMachine Learning for Predicting Energy Demand in Industrial SystemsAI-Driven Energy Efficiency in Industrial Operations

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

15th International Conference on Information and Electronics EngineeringMarch 20-22, 2026 | Tokyo, JapanLink: https://www.iciee.org/index.htmlSubmission Deadline: December 25, 2025Acceptance Notification Date: January 25, 2026Authors' Registration Deadline: February 10, 2026Conference Date: March 20-22, 20262026 15th International Conference on Information and Electronics Engineering will be held in Tokyo, Japan during March 20-22, 2026. It aims to provide a more ideal forum for researchers, practitioners, and professionals from the industry, academia and government who are working in the field of information and electronics engineering to discourse on research and development, professional practice in related fields.ICIEE 2026 is organized by Jeju National University, and technically supported by Fukuoka Institute of Technology. ICIEE 2026 hopes to attract papers related to the latest implementation of applications, principles, and algorithms in the broad area of information and electronics engineering, including but not limited to computer science, information sciences, and telecommunications.PublicationsPeer-reviewed papers accepted by ICIEE2026 will be published in conference proceedings, which will be submitted to Scopus, Ei Compendex, etc., for indexing.Track 1: Electronic Science and Information TechnologyIntegrated Circuit Design Theory and TechnologyElectronic control and instrumentationEmbedded SystemsCircuits and SystemsElectronic deviceSemiconductor devices and reliabilityPhysical Electronics and OptoelectronicsElectronic Devices in CommunicationsIndustrial Automation and ControlVLSI Design and FabricationPhotonic TechnologiesBiomedical ElectronicsIndustrial Electronics and AutomationsTrack 2: Electromagnetic Field and Microwave TechnologyAntennas - Design, Modeling and MeasurementMicrowave Circuits - Systems and ApplicationsComputational ElectromagneticsRadio PropagationsIntegrated OpticsTheory and Application of Electromagnetic FieldOptical waveguide theory and technologyOptical devices and optical sensing technologyMicrowave and antennaTrack 3: Coding and Signal ProcessingChannel CodingSpace-Time Signal Processing MIMO and OFDM SystemsSignal Detection and EstimationAudio/Speech Signal ProcessingImage/Video Processing and CodingMedical Imaging and Image AnalysisSignal acquisition and analysis

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

26th International Conference on Computational Science29 June - 1 July 2026 • DESY • Hamburg • GermanyLink: https://www.iccs-meeting.org/iccs2026/The International Conference on Computational Science is an annual conference that brings together researchers and scientists from mathematics and computer science as basic computing disciplines, as well as from other various application areas, who are pioneering computational methods in sciences such as physics, chemistry, life sciences, and engineering, as well as in arts and humanitarian fields, to discuss problems and solutions in the area, identify new issues, and shape future directions for research.ICCS 2026 in Hamburg, Germany will be the twenty-sixth edition in this series of highly successful conferences.Authors are invited to submit manuscripts reporting original, unpublished research and recent developments in Computational Sciences. All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers.ICCS 2026 invites original contributions on all topics related to Computational Science, including, but not limited to:Scientific ComputingProblem Solving EnvironmentsAdvanced Numerical AlgorithmsMixed-precision Modelling AlgorithmsNew Algorithmic Approaches to Computational Kernels and ApplicationsWeb- and Grid-based Simulation and ComputingParallel and Distributed ComputingAdvanced Computing Architectures and New Programming ModelsExtreme-Scale Data Management and I/O in Computational Science ApplicationsComplex Systems: Modeling and SimulationComplex Networks Models and High Performance simulationsSystem Dynamics ModelsArtificial Intelligence in Scientific ComputingModelling Approaches using Unconventional ComputingMassive Agent Based modelsUncertainty QuantificationApproaches for Automated Simulation DevelopmentHybrid Computational MethodsApplications of Computation as a Scientific ParadigmVisualization and Virtual Reality as Applied to Computational ScienceComputational PhysicsLarge Scale Scientific InstrumentsQuantum ComputingMedical and Biomedical Computational ScienceComputational HumanitiesComputational SociologyComputational Models of Cognition and BehaviorStrategic Behavior Modeling and Market DesignEducation in Computational ScienceAs the conference theme this year is “At the Forefront of Science through Computation and Data”, papers highlighting the role of Computational Science in assisting multidisciplinary research will be particularly welcome.Important DatesWorkshop proposals: 9 January 2026Paper submission: 23 January 2026Notification to authors: 23 March 2026Camera-ready papers: 10 April 2026Author registration: 23 March – 10 April 2026Non-author registration (in-person only): 23 March – 1 June 2026Conference sessions: 29 June – 1 July 2026

8th International Conference on Computer CommunicationOkayama, Japan | June 26-28, 2026 Submission Deadline: Feb 20th, 2026Notificate Date: Mar. 20th, 2026Registration Deadline: April 10th, 2026The 8th International Conference on Computer Communication and the Internet (ICCCI 2026) will be held in Okayama, Japan from June 26-28, 2026. ICCCI 2026 is co-sponsored by IEEE, Science and Engineering Institute (SCIEI), Central China Normal University, and hosted by Okayama University, patroned by Tokushima University, Shonan Institute of Technology, Nihon University, Okayama University, and Southern Illinois University Edwardsville, USA. Call for PapersTopic 1: Communication Networks and SystemsCooperative NetworkingCross-layer Optimization and ControlDelay Tolerant NetworksOptical NetworksRouter and Switch DesignRouting & MulticastSmart Antenna Based NetworkingWireless LAN, Ad Hoc, and Mesh NetworksCellular, Broadcasting, WSN, and WLAN Technologies Coexistence Solutions Topic 2: Internet of Things (IoT) and ServicesInternet Computing: Models, Architectures, and PlatformsNext Generation Internet and ServicesSmart CitiesMobile Cloud Infrastructure and Service ModelsInternet Based Service Systems in Next Generation of Internet Topic 3: Multimedia Communications and ApplicationsAudio/Video SystemsImage ProcessingVR/AR/MR and MetaverseEntertainment and GamingNetworked Consumer ElectronicsMultimedia and Real-Time NetworkingMultimodal/Multisensory Communications and Applications Topic 4: Network Management and AnalysisNetwork Economics and PricingNetwork ManagementNetwork Measurement and AnalysisQoS Measurement and ControlGreen Networks and Sustainable ComputingGrid, Cloud, Internet and Peer-to-peer Computing and CommunicationData Centers and Big Data Computing Topic 5: Security, Privacy, and TrustSecurity, Privacy, and TrustCyber-physical SystemsSensor/Embedded Networks and Pervasive Computing Topic 6: Network Architecture, Modeling, and EvaluationCognitive, Cellular and Mobile NetworksCommunication Architecture, Algorithms, Modeling and EvaluationNovel Internet Architecture and Convergence Mechanisms for Heterogeneous Converged NetworksPrototype and Field Tests for Heterogeneous Converged SystemsConverged Network Application for Wired/Wireless Networks, Mobile Multimedia Networks, Internet of Things, and Subsequent New Design Paradigms for Future Network Convergenc

AI Basics for ProductivitySingapore University of Technology and Design Link: https://www.sutd.edu.sg/course/ai-basics-for-productivity/course-fees-and-funding/Course dates: 1) 19 – 20 January 2026 2) 26 – 27 February 2026Course Fees and Funding Who should attendAdult learners with some computer knowledge and a keen interest in artificial intelligence. Industry leaders, managers and executives who are curious about the benefits of Generative AI chatbot for businesses and want to learn how GPT technology can help advance their careers and businesses.Programme OutlineLearning Objectives and StructureBy the end of this course, learners are expected to have a solid foundation in AI, an understanding of its applications, and the ability to utilize AI tools effectively in a business context. They will also gain experience in project management and event organization, further enhancing their skill set.Day 1Overview of AITypes of AI and ApplicationsIntroduction to GenAI and CopilotProject BriefingDemo / Practice Session on CopilotProject PlanningProject Discussion/ExecutionReview of Session 1Day 2Introduction to AI TechnologiesSharing of Case StudiesUnderstanding limitations of AI / Societal and Ethical IssuesOnline QuizTeam Project PresentationThe future of workAssessmentAssessmentIn-class Online QuizTeam Project

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.

National Platform Development & Linkages ObjectivesTo build the capacity of country administrators and IT managers to install, configure, and manage the National Talent Platforms.To customize the platform with national branding, content, and user roles while ensuring interoperability with the ASEAN-level ATM system.To train participants in coding, file management, and data analytics for talent informatics.To strengthen regional cooperation by harmonizing technical standards and data-sharing practices across ASEAN.Date & VenueDate: 19–20 October 2025Venue: Swissotel Bangkok Ratchada, Bangkok, Thailand

THE 88th MEETING OF THE ASEAN COMMITTEE ON SCIENCE, TECHNOLOGY AND INNOVATION (COSTI-88) Between 19–24 October 2025 at Jubilee Prestige Hotel Ratchadapisek, Bangkok, the meeting aims to serve as a platform for discussion and exchange of cooperation policies under the framework of the ASEAN Committee on Science, Technology and Innovation (ASEAN COSTI).The objectives include reporting on the progress and status of projects/activities of each ASEAN Member State and exchanging policies and best practices in science, technology, and innovation among senior officials from ASEAN Member States, the ASEAN Secretariat, Timor-Leste, and dialogue partner countries.

External events, opportunities, and trade missions UK Government UK-ASEAN AI Innovation Summit; 6-8 October (KL, Malaysia) The UK-ASEAN AI Innovation Summit is a strategic platform for advancing shared priorities between the UK and ASEAN Member States. It builds upon previous engagements such as the UK-MY AI Conference 2023, UK AI Week in Thailand, and the AI for Sustainable Development in ASEAN (AISDA). The Summit is also aligned with the forthcoming ASEAN Digital Economy Framework Agreement (DEFA) and the UK’s AI Opportunities Action Plan (2024). There will be keynote presentations, panel discussions, workshops for the Summit covering the following themes: Sustainable and secure AI infrastructure and cross-border compute access, Trusted data-sharing partnerships to support inclusive innovation, AI talent development and skills exchange, including pathways for women and non-traditional learners, Pro-innovation regulation and responsible AI governance, Public sector adoption and business innovation partnerships. If you would like to attend, please email Poorani.Krishnan@fcdo.gov.uk

AI-NEXTHub of Talents in AI and Innovation Nexthttps://www.ai-next.or.thadmin@ai-next.or.thCore Mission of the Center In a world where skills must keep pace with the changes of the digital labor market, we bring together a network of AI and technology experts to create a continuous, comprehensive, and accessible learning ecosystem.Because we believe that AI is not here to replace people, but to serve as a tool that enhances human potential and opens up opportunities for everyone to grow alongside the new era.Thailand's AI expert network showcases a wide range of specialized fields across sectors. Key areas of expertise include:Artificial Intelligence in Natural Language Processing (NLP)AI in Healthcare and Medical TechnologyGeographic Information Systems (GIS) & MobilityBig Data AnalyticsImage Processing & Computer VisionUrban Computing, UAV (Drones), and Remote SensingAI in Agriculture and Agricultural RoboticsAI for Automotive and Intelligent Transportation SystemsDigital Engineering & Computing SciencesMathematical Modeling & Applied Computing Our Strategic Goals1. Develop AI Curriculum and Human CapitalWe design and deliver AI-related training in collaboration with schools and universities to equip people with digital skills tailored to the Thai context and global demands.2. Drive AI Research and InnovationWe support strategic alignment and integration of national priorities to advance urgent and impactful research across diverse regions and sectors.3. Apply AI in IndustryWe initiate projects that enhance operational efficiency, reduce costs, and foster the adoption of AI-powered automation in industrial applications.4. Advance AI Policy and EthicsWe promote AI regulations aligned with international frameworks such as the EU AI Act, and advocate for the ethical use of AI with sustainability, safety, and transparency in mind.5. Foster International CollaborationWe establish global partnerships and formal agreements (MOUs) to position Thailand as a regional hub for international AI cooperation.6. Support AI Startups and Innovation EcosystemWe expand platforms such as AI-as-a-Service to catalyze startup growth, support AI infrastructure, and strengthen the innovation ecosystem.

International Journal of Electronic CommercePrint ISSN: 1086-4415 Online ISSN: 1557-9301Link to Publication: https://www.tandfonline.com/journals/mjec20/about-this-journal#aims-and-scopeLink to SCIMAGO: https://www.scimagojr.com/journalsearch.php?q=19691&tip=sidA supportive environment for researchers: Speed/acceptance 80 days avg. from acceptance to online publicationSubject Area- The marketplace and organizational effects of e-commerce- Business and organizational transformation with e-commerce- Business value in e-commerce Internet business models- Supply chain management and collaborative commerce- E-tailing and multichannel selling- Co-creation and consumer roles in e-commerce- Online communities- Social media and social networks- Economics of electronic commerce- E-commerce in business globalization- E-marketplaces- Marketing on the Web- M-commerce and pervasive computing- Digital product management and property rights- Security and privacy of transactions and information- E-commerce payment systems

🎓 Japanese Government (MEXT) Scholarship – University Recommendation The Japanese Government (MEXT) Scholarship offers international students the opportunity to pursue graduate studies in Japan through university nomination routes such as the International Graduate Program (IGP) at Tokyo Institute of Technology (Tokyo Tech) and similar schemes at other universities.Key DetailsFunding Type: Government ScholarshipHost: Tokyo Institute of Technology (Tokyo Tech), JapanBenefits:Full tuition waiverMonthly stipend (per MEXT)Travel support (per program)Eligibility:Admission to a designated IGP lab/programStrong academic recordMeets MEXT scholarship criteria📌 Application Route: University nomination via International Graduate Programs at Tokyo Tech (and other universities with designated programs).Useful LinksAbout MEXT Scholarship (Official)Tokyo Tech IGP Program📧 Contact: sciencetokyo.mext@adm.isct.ac.jp📞 +81-3-5734-3990

Supporting EU-ASEAN Research: Open Calls for European Research Infrastructure Access” Wednesday, 25 September, 14:00 – 15:30 (JKT/BKK) / 09:00 – 10:30 (CEST). We'd like to share an exciting opportunity for the research community. The Enhanced Regional EU-ASEAN Dialogue Instrument (E-READI) is hosting an online workshop on "Supporting EU-ASEAN Research: Open Calls for European Research Infrastructure Access."The workshop will feature upcoming calls that offer free, short-term access to leading European research infrastructures in the following areas:Climate researchRenewable energy researchEarth & Environmental Material ResearchThis is a great chance for researchers in the ASEAN region to learn how to access advanced laboratories, cutting-edge equipment, and unique datasets to drive innovation and international collaborations.We encourage you to share this invitation with your networks.Event DetailsDate: Wednesday, 25 SeptemberTime: 14:00 – 15:30 (JKT/BKK) / 09:00 – 10:30 (CEST)Registration: https://us06web.zoom.us/meeting/register/Uoe3An80RymYdUS1mNdUBQ This event is co-organised by the Enhanced Regional EU-ASEAN Dialogue Instrument (E-READI) and the ASEAN Task Force on Regional Research Infrastructure with the support of the RICH-Europe project.

International Journal of Computer Applications in Technologyhttps://www.inderscience.com/jhome.php?jcode=ijcatSCImago: https://cmu.to/CWHNk8 issues per yearISSN online: 1741-5047ISSN print: 0952-8091IJCAT is indexed in:Scopus (Elsevier)Compendex [formerly Ei] (Elsevier)Web of Science: Emerging Sources Citation Index (Clarivate Analytics)Academic OneFile (Gale)ACM Digital LibraryIJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.Topics covered includeComputer applications in engineering and technologyComputer control system designCAD/CAM, CAE, CIM and roboticsComputer applications in knowledge-based and expert systemsComputer applications in information technology and communicationComputer-integrated material processing (CIMP)Computer-aided learning (CAL)Computer modelling and simulationSynthetic approach for engineeringMan-machine interfaceSoftware engineering and managementManagement techniques and methodsHuman computer interactionReal-time systems

Chief Data and AI Officer Programmehttps://cmu.to/OG1O6 Join usProgramme OverviewNUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.Learning OutcomesEvaluate strategic implications and innovative value generation through proficient data managementAnalyse strategies for capitalising on data monetisationExplore innovation and emerging technologies in the domainExamine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and complianceEmpower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change managementWho is this programme for?Become a data strategist to drive tangible business valueSeasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth. Programme ModulesPillar 1: Data Foundations for Enterprise Value CreationPillar 2: Strategic Levers for Business GrowthPillar 3: Intelligent Technologies and Scalable AIPillar 4: Risk, Resilience and Responsible GovernancePillar 5: Transformational Leadership in the Age of AI

Frontier Research Infrastructure, P20 (S3), N43 (S3P20): Develop research infrastructure and the development of science and technology in alignment with the advancement of future industries and future services.Frontier Research Infrastructure Call for Proposals https://nriis.go.th/www/NewsEventDetail.aspx?nid=12177AnnouncementThe Program Management Unit (PMU-B) has issued a call for proposals for the Frontier Research Infrastructureinitiative under the research infrastructure development plan for Fiscal Year 2026Submission Period• Proposals are being accepted from 4 July to 15 August 2025 (closing at 16:30 ICT)