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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

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

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.

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 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

International Journal of Information Technology & Decision MakingISSN (print): 0219-6220 | ISSN (online): 1793-6845 International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era. The journal is peer-reviewed and publishes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics.Call for PapersSpecial Issue onExploring Data Science in IT and Quantitative ManagementSupply Chain Management, Sustainability, and Productivity Efficiency EvaluationsDecision Making in Risk AnalysisOperations Research and Optimization Submission Guidelines https://www.worldscientific.com/page/ijitdm/submission-guidelinesAbstracted & Indexed in(https://www.worldscientific.com/page/ijitdm/abstracted-indexed)ABDC Journal Quality List by Australian Business Deans CouncilAcademic OneFileBaiduBusiness Source Index (Ebsco)CabellCNKI ScholarCnpLINKerCompendexCompuMath Citation Index (CMCI)CrossRefDBLP Computer Science BibliographyDimensionsEbsco Discovery ServiceEbsco Electronic Journal Service (EJS)Ebsco Science & Technology Collection, Computer Science IndexExLibris Primo CentralGoogle ScholarINSPECISI Alerting ServicesJ-GateJournal Citation Reports/Science EditionNaverNSTL - National Science and Technology LibrariesOCLC WorldCat®ProQuest CentralProQuest Computer & Information Systems AbstractsProQuest Technology Collection (Advanced Technologies Database with Aerospace)RePECScience Citation Index Expanded (SCIE)ScopusThe Summon® Service

The 9th International Conference on Information Technology(IEEE Conference Record Number #66780)November 12-14, 2025.Phuket, Thailand and Online (Hybrid format)Read more at https://incit2025.computing.psu.ac.thDeadline: 24 August 2025The topics of interest for the conference papers include, but are not limited to:Agricultural and Industrial InformaticsArtificial Intelligence and Data ScienceBlockchain and Smart ContractCloud and Grid ComputingComputer Educational TechnologyComputer Networks and CommunicationsDatabase and Information RetrievalHealth and Bio InformaticsHealth, Wellness, and Bio informaticsHuman Computer Interaction and Affective ComputingImage Processing and Computer VisionInformation Forensics and SecurityInternet of Things and Embedded SystemsIT Project and IT Service ManagementKnowledge and Data ManagementMachine Learning and Intelligent SystemsMetaverse and Virtual RealityNatural Language ProcessingOntology and Semantic WebPervasive and Mobile ComputingQuantum Computing and AlgorithmsSoftware Engineering and Software DevelopmentSustainable Computing

International Conference on Artificial Intelligence and Mathematics (ICAIM - 25)15th - 16th September 2025 Denver, USA (Hybrid Event)https://www.iirst.com/event/important-dates.php?id=3086069Important Dates: - Early Registration Deadline → 16th August 2025- Paper Submission Deadline → 26th August 2025- Conference Date → 15th - 16th September 2025 Call for Paper- Mathematics and Artificial Intelligence- Applications in Science and Engineering using Mathematical Methods- Applied logics, Algorithms and Complexity- Applying Quantitative, Combinatorial, Logical, Algebraic and Algorithmic Methods to Artificial Intelligence Areas- Artificial Intelligence Theory- Automated Deduction- Computational Geometry- Computational Mathematics- Computer Vision- Decision Support- Knowledge-based Systems- Machine Learning- Reasoning- Robotics and PlanningPublication OpportunityAll accepted abstracts will be published in a conference proceedings e-book with ISBN.All accepted full papers have the opportunity to be published in reputable international journals indexed by various databases, subject to terms and conditions and selection by the Scientific Editorial and Reviewer Committee.All papers will receive international exposure and scientific feedback from scholars around the world during the conference.sAreas of Importance in Journal PublicationSelect the most appropriate journal for your paper based on its aims, scope, and guidelines.Prepare your manuscript to conform to the journal's requirements and guidelines, including language and grammar checks.Ensure the language, flow, and scholarly writing style of the paper are of key importance, and consider adding an international flavor to your submission.Follow academic ethics and avoid plagiarism.Pay attention to the quality of graphics and artwork, and format the reference list according to the preferred referencing style of the journal.Benefits of Journal Publication:Receive guidance and support to prepare your manuscript according to journal requirements.Benefit from comprehensive review comments and opportunities to improve your paper.Enjoy the peace of mind of leaving the submission and publication process to the IIRST team, with its years of experience dealing with leading academic journals.Advance your career through journal publications and support for your undergraduate or postgraduate studies.

The 6th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON2025) Call for Papers: TIMES-iCON2025 – The 6th International Conference on Technology Innovation Management and Engineering ScienceThe organizing committee is pleased to announce that the 6th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON2025) will be held in Bangkok, Thailand, during December 10–12, 2025.TIMES-iCON2025 will be a premier international platform for researchers, scholars, and practitioners to present and discuss the latest innovations, trends, challenges, and solutions in the fields of management, innovation technology, and information technology. The conference will cover a wide range of topics, including:Digital Innovation, Disruption, and Emerging Technologies (AI, IoT, Blockchain, Cloud, Quantum Computing, etc.)Information Technology Management and CybersecurityHealthcare IT ManagementScience and EngineeringDigital Economy and Business Model InnovationSmart City and Smart LogisticsDigital Education and Knowledge ManagementStrategic and Project Management, Change Management, EntrepreneurshipAll accepted papers are expected to be published in IEEE Xplore and indexed by EI (Engineering Index). Selected outstanding papers will be invited for extension and publication in the Journal of Mobile Multimedia (Q2_SJR 2024), indexed in Scopus.📍 Venue: Bangkok, ThailandBangkok is a vibrant capital city and one of the most visited destinations in the world. It is a gateway to other cities in Thailand and is famous for its unique blend of ancient culture and modern lifestyle. Notable attractions include the Grand Palace, Wat Phra Kaew, Chao Phraya River, Khao San Road, Yaowarat (Chinatown), Chatuchak Market, and Train Night Market Ratchada.We warmly invite all researchers and professionals to join this exciting conference and contribute to a global exchange of knowledge and innovation.For more information and updates, please visit the official conference website: [https://timesicon2025.atdi.or.th]

PhD Call for Applications SummaryAcademic Year 2025/2026 – 41st CycleDeadline: 6 June 2025Research Field: Professions and applied sciencesRead more at https://euraxess.ec.europa.eu/jobs/funding/phd-2025/26-data-scienceApplicationThe Call for Applications for the 2025/2026 PhD Programs is officially open. Applicants, regardless of their nationality, age and gender are invited to submit their applications. Applicants can find all essential information in the relevant paragraphs of this guide.Further information along with possible modifications to, requirements, submission procedures, available positions and/or scholarships, will be given, before the deadline, through the pages:• https://dottorati.uniroma2.it/corsi-di-dottorato_p10297.aspx• https://dottorati.uniroma2.it/corsi-di-dottorato_p10299.aspx AboutOutlineThe availability of huge volumes of data, basically characterized by the increasingly extensive and pervasive use of digital technologies, leads the ongoing revolution in many areas of social, economic and industrial reality, posing new challenges to the scientific and technological research in Computer Science, Artificial Intelligence and in several other disciplines, from Physics to Economics, from Medicine to Human Sciences. In this context, the accessibility and processing of large amounts of data, both in centralized and distributed systems, their usage in the design and implementation of complex decision-making models, favors the study and development of autonomous systems in different fields (from mission-critical applications to the studies of natural and social phenomena, the prediction of economical dynamics as well as the diagnostics and planning in medicine or in industrial robotics). The PhD in Data Science is aimed, in its markedly interdisciplinary nature, to train, at the highest level, experts able to conduct research to understand and master the mathematical, statistical and computer science methodologies of data analysis and processing as well as the underlying technologies supporting applications in a wide variety of of scientific, industrial, economic, medical and social contexts. The reasons for a new PhD program in Data Science are many and significant. First of all, the offer in Central Italy of a doctoral training on these topics is still quite limited, but at the same time it is confronted with an increasing demand for experts in Data Science. This training should be understood with a characterization focused on mathematical-computer science skills, then a strong scientific-technological vocation, properly integrated on established statistical, economic, social and linguistic principles, thus able to give answers to the dynamics of this area of expertise that is very accelerated and strongly interdisciplinary and culturally heterogeneous. The School of Doctorate represents the indispensable ground for a wide range of students of Computer Science, Computer Engineering, Economics, Physics, Mathematics and not only, at our University of Tor Vergata. Today such students apply and succeed (according to various data sources) at other Schools. These students are attracted by initiatives in Data Science because in them is clear and dominant the role played by the computational knowledge, the strong scientific character of the educational objectives and the diversified potential applications: from Physics to Economics up to Social Sciences. It is interesting to note that many of the courses mentioned here, for example, the Master Degree Courses in Computer Science at the Department of Business Engineering, which have a large number of students, unlike other courses are not decreasing in number of enrolled students. This phenomenon is both cause and effect of the centrality that the themes of culture and digital transformation play in the industrial and social spheres of our country.See PHD IN DATA SCIENCE | TOR VERGATA

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

CALL FOR PAPERSConference Venue: BangaloreImportant DatesLast Date of Paper Submission: Feb 28, 2025Notification of Acceptance: April 15, 2025Last Date of Author Registration: May 15, 2025More detail at https://www.ieeespace.org/index.php SPACE is a premier interdisciplinary forum for space, aerospace, and defence experts, engineers, and researchers to come together to discuss the latest developments in designated technologies. The conference provides a platform for sharing cutting-edge research, exploring innovative approaches, and addressing the technical challenges facing the space, aerospace and defence industries. It is a well known fact that technologies used in Space, Aerospace and Defence can be used among these 3 domains with some improvement/modifications. The objective of SPACE is to create a platform where industry professionals and research scientists working across these.domains share, learn and collaborate. Scientists, Researchers and industry practitioners are encouraged to present their work and developments can be used across/at least in two of these domains. The conference covers all aspects of Space, Aerospace and Defence technologies (within IEEE's field of interest). The conference program includes keynote presentations, technical sessions, workshops, and panel discussions, all aimed at fostering collaboration and driving innovation in aerospace and defense. The SPACE Conference is a hub for fostering partnerships between industry, academia, and government agencies. It offers valuable opportunities for networking, mentorship, and professional development, enabling attendees to establish new connections and gain insights into the latest trends and best practices in aerospace and defense. With its focus on IEEE Tagline "Advancing Technology for Humanity" and pushing the boundaries of SPACE, aerospace and defence capabilities, SPACE plays a crucial role in shaping the future of these industries. By bringing together thought leaders and experts, the conference serves as a catalyst for driving progress and innovation in the space, aerospace and defence sectors, ultimately contributing to advancing Indian & Global capabilities in these domains. Attendees can look forward to engaging with leading experts, gaining exposure to groundbreaking research, and participating in discussions that are at the forefront of shaping the future of aerospace and defense. Whether you are an industry professional, academic researcher, or government representative, the SPACE Conference offers a unique platform to exchange ideas, foster collaborations, and contribute to advancing aerospace and defense technologies.TracksAerospace Systems TechnologiesDefence Systems TechnologiesSpace Systems TechnologiesTopicsYou are further requested to choose topics relevant to your paper work among the following:Antenna/RF/MicrowavesCommunication/NetworkingComputing/Cyber Security/IT/Software EngineeringMission Planning/Controls/Navigation/GuidanceEmbedded Systems/VLSI/RFIC/MMIC/NanoelectronicsEMI/EMC/ESD/HPM/Space Weathermm-wave/THz/5G/6GPower/Energy/Power ElectronicsSignal Processing/Data ProcessingAssembly, Integration, & Testing/CheckoutGyros/Sensors & Associated ElectronicsGround Support TechnologiesMiniaturization TechnologiesTechnologies for HumanitySustainable TechnologiesSystem EngineeringReliability/Quality AssurancePhotonics/Electro-opticsOptical/Microwave Remote Sensing TechnologiesNot Listed Above

Talent mobility, or the free movement of skilled labour across national borders, is a central tenet of ASEAN’s drive toward regional economic integration. The ASEAN Economic Community (AEC) Vision 2025 includes facilitating the movement of investments, skilled labour, business professionals, and capital. To this end, the ASEAN Economic Community Blueprint 2025 outlines initiatives such as implementing mutual recognition agreements (MRAs) for skilled professionals, strengthening commitments under the ASEAN Agreement on the Movement of Natural Persons, and reducing regulatory barriers by standardising hiring requirements and documentation.Furthermore, the ongoing negotiations on the ASEAN Digital Economy Framework Agreement (DEFA) include digital talent mobility as one of its nine key pillars.These commitments recognise the importance of developing, attracting, and retaining talent in accelerating ASEAN’s economic growth. As technology-driven digital transformation is reshaping the region, human expertise is more essential than ever. Skill gaps will limit the region’s ability to maximise digital opportunities. For instance, a shortage of skilled ICT professionals, including cybersecurity experts, hampers our ability to address increasingly complex cybersecurity threats.ASEAN Member States have negotiated past agreements to facilitate cross-border professional practice. Mutual recognition agreements were signed between 2005 and 2012 for sectors including engineering, nursing, architecture, medicine, dentistry, and tourism. In 2012, the Member States signed an agreement on the movement of natural persons, establishing a framework for the temporary cross-border movement of workers. ASEAN Member States also signed the ASEAN Comprehensive Investment Agreement (ACIA), which includes provisions to streamline business visa procedures for citizens within the ASEAN. These are important first steps to foster talent mobility.Read more at https://theaseanmagazine.asean.org/article/opportunities-for-talent-collaboration-in-asean-in-the-digital-ageThe ASEAN Secretariat70A Jalan Sisingamangaraja Jakarta 12110P: (+6221)7262991, 7243372F: (+6221)7398234, 7243504M: ASEAN-magazine@asean.org

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

Call for papersLink: https://link.springer.com/journal/12008Submission deadline: 28 February 2025Submission to first decision (median): 21 daysThe complexity of industrial processes and the availability of enabling technologies require innovative design methods and tools for energy efficiency and sustainability. Indeed, the synergistic use of technologies like digital modelling, reverse engineering, virtual and augmented reality, and AI opens new frontiers, enhancing product complexity and optimizing the design process. This interdisciplinary approach addresses modern industry challenges, integrating several perspectives for comprehensive, sustainable and highly innovative solutions.The aim of this Special Issue is to provide insights into the various aspects of scientific and technological progress related to design methods and tools in industrial engineering, as well as their use in other sectors such as medicine, cultural heritage, and nautical engineering.The main topics of the Special Issue topics include: Virtual and augmented reality; Engineering methods in medicine; Design for Additive Manufacturing; Product Design and Engineering; Integrated methods for product and process Design, Simulation, Analysis and Optimization; Design for Sustainability and EcoDesign; Virtual Prototyping and Digital Twin.