News & Activities

Applied Agentic AI for Organizational TransformationLeverage AI Agents to Elevate Efficiency and Innovate Models https://online.professionalprogramsmit.com/agentic-ai-organizational-transformation-in?utm_source=Google&utm_medium=c&utm_term=ai%20agents%20training&utm_location=9217387&utm_network=g&utm_campaign=B-365D_ww_GG_SE_MPE-DTR_NONBRAND_IS_APAC&utm_content=Core_Brand&gad_source=1&gad_campaignid=23096971436&gbraid=0AAAAAC-ids1T1E9s9wbLVoHiq6HbY6WRm&gclid=Cj0KCQjwj47OBhCmARIsAF5wUEHeGlwsOUEp8_wMz3V740FwRK7QKT69GZf2NV8g7m4m4PLgV72OXKYaAg4eEALw_wcBStart: May 12, 2026Duration: 8 weeks, onlinePRICE: US$2,720What you will learn?Understand the foundations of Generative and Agentic AI - how they work, how they differ, and how they apply to real organizational functions.Design AI-integrated strategies using cloud infrastructure, APIs, and enterprise platforms to deliver real-world impact.Build practical skills through hands-on mini-projects, including text, image, audio, coding and video with no prior coding knowledge required.Address the risks and responsibilities of AI, from deepfakes and misinformation to legal compliance and ethical governance.

2026 The 10th International Conference on Materials Sciences and Nanomaterials (ICMSN 2026)https://www.icmsn.org/index.html2026 The 10th International Conference on Materials Sciences and Nanomaterials (ICMSN 2026) will be held in London, United Kingdom during July 1-4, 2026.All submissions will be peer reviewed by 2-3 reviewers. The registered and presented papers will be published into Materials Science Forum (ISSN print 0255-5476 / ISSN web 1662-9752), which will be indexed by Scopus, Chemical Abstracts Service (CAS), REAXYS, Chimica, etc.Key DatesSubmission Deadline:March 20, 2026Notification Deadline:April 15, 2026Registration Deadline:May 5, 2026Conference VenueLangham Court HotelAddress: 31-35 Langham Street, Westminster Borough, London, W1W 6BU, United KingdomWebsite: www.gemhotels.com/hotels-london/langham-court-hotel2026 The 10th International Conference on Materials Sciences and Nanomaterials (ICMSN 2026) involves the field of Materials Sciences and Nanomaterials. Topics of interest for submission include, but are not limited to:NanomaterialsDifferent Methods for Growth of NanostructuresNanostructured Thin Films and CoatingsDoped NanomaterialsModification of NanomaterialsCharacterisation of NanomaterialsNanocompositesNanostructured CeramicOrganic,Inorganic,and Biomedical of NanomaterialsDifferent Kinds and Morphologies of Nanostructures: Metal and Metal Oxide of Nanoparticle,Nanowires and Nanorod,Carbon Nanotube and GrapheneMechanical,Thermal,Electrical,Optical and Magnetic Properties of NanomaterialsNanoengineeringElectronic MaterialsElectronic MaterialsSemiconductor MaterialsDisplay MaterialsBattery MaterialsOptical MaterialsDielectric MaterialsFerroelectric MaterialsConductive MetalMaterial ChemistryMaterials ChemistryClassical Analytical ChemistryInstrumental AnalysisOptical AnalysisPolymer ScienceMaterial ProcessingStructural ChemistryMaterial ShapingMaterials Processing EngineeringMaterials Processing EngineeringMetallurgy TechnologyPolymer MaterialsPolymer ProcessingMetalworkingCastingWeldingStructural MaterialStructural MaterialsWrought IronCast IronSteelStainless SteelReinforced ConcretePrestressed ConcreteAluminumCompositesMasonryTimber

2026 8th International Conference on Big Data Management https://www.icbdm.org/index.htmlWelcome to ICBDM 2026! 2026 8th International Conference on Big Data Management (ICBDM 2026) will be held in Derby, UK during June 24-26, 2026! It's hosted by University of Derby. The theme of this year is "Data Management in Statistics and Data Science".The conference aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of big data management. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of big data management.Important DatesSubmission Deadline: April 5, 2026Acceptance Notification: May 5, 2026Registration Deadline: May 20, 2026Camera-Ready Version: May 20, 2026Early Bird Registration End: May 20, 2026JournalA few selected papers with extended version will be published in theJournal of Advanced Management ScienceISSN: 2810-9740 Frequency: SemiannuallyDOI: 10.18178/joamsAbstracting/ Indexing: CNKI, Google Scholar, CrossrefTemplate: JOAMS TemplateCall for PapersTopics of interest for submission include, but are not limited to:Track 1: Big Data Analysis and ManagementData Acquisition, Integration, Cleaning, and Best PracticesBig Data Search Architectures, Scalability and EfficiencyCloud/Grid/Stream Data Mining- Big Velocity DataSemantic-based Data Mining and Data Pre-processingBig Data as a ServiceData Lifecycle Management: From Collection to ArchivingData Governance Frameworks and Best PracticesData Management Standards (e.g., FAIR principles: Findable, Accessible, Interoperable, Reusable)Ethical Considerations in Data ManagementAlgorithms and Systems for Big Data SearchVisualization Analytics for Big DataChallenges in Managing Large-scale DatasetsBig Data Processing Frameworks (e.g., Apache Spark, Apache Flink)Scalable Storage Solutions for Big DataMobility and Big DataMethods for Data Collection: Surveys, Experiments, Sensors, Web ScrapingData Integration Techniques: ETL (Extract, Transform, Load) ProcessesSearch and Mining of Variety of Data including Scientific and Engineering, Social, Sensor/IoT/IoE, and Multimedia DataTrack 2: Data Structures and Data ModelsMultimedia and Multi-structured Data- Big Variety DataComputational Modeling and Data IntegrationRelational Databases (e.g., SQL) vs. NoSQL Databases (e.g., MongoDB, Cassandra)Data Warehousing and Data Lake ArchitecturesCloud-based Data Storage Solutions (e.g., AWS S3, Google BigQuery)Distributed Storage Systems for Big Data (e.g., Hadoop HDFS)Data Quality Metrics: Accuracy, Completeness, Consistency, and TimelinessTechniques for Data Cleaning and PreprocessingHandling Missing Data: Imputation Methods and StrategiesOutlier Detection and Treatment in DatasetsReal-Time Data Collection and Streaming Data ManagementImportance of Metadata in Data ManagementMetadata Standards and Schemas (E.G., Dublin Core, Schema.Org)Tools for Metadata Extraction and ManagementRole of Metadata in Data Discovery and ReuseVisualization of High-Dimensional DataManaging Unstructured Data (E.G., Text, Images, Videos)Data Silos and Interoperability IssuesTrack 3: Big Data Security and PrivacyVisualizing Large Scale Security DataThreat Detection using Big Data AnalyticsPrivacy Threats of Big DataPrivacy Preserving Big Data Collection/AnalyticsHCI Challenges for Big Data Security & PrivacySociological Aspects of Big Data PrivacyTrust Management in IoT and Other Big Data SystemsData Encryption and Anonymization TechniquesRole-based Access Control (RBAC) and Data PermissionsCompliance with Data Protection Regulations (e.g., GDPR, CCPA)Secure Data Sharing and Transfer ProtocolsVisualizing Large Scale Security DataBalancing Data Accessibility with SecurityTrust Management in IoT and Other Big Data SystemsHCI Challenges for Big Data Security & PrivacyTrack 4: Big Data Analysis Tools and Key TechnologiesHealthcare: Managing Electronic Health Records (EHR) and Patient DataFinance: Data Management for Fraud Detection and Risk AnalysisEnvironmental Science: Managing Climate and Satellite DataSocial Sciences: Handling Survey and Census DataE-Commerce: Customer Data Management and PersonalizationComplex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, TelecommunicationBig Data Analytics in Small Business Enterprises (SMEs)Big Data Analytics in Government, Public Sector and Society in GeneralReal-Life Case Studies of Value Creation through Big Data AnalyticsExperiences with Big Data Project DeploymentsBig Data as a ServiceBig Data Industry StandardsTrack 5: Application of Big Data in Information SystemsTools and Techniques for Exploratory Data Analysis (EDA)Interactive Dashboards for Data Exploration (E.G., Tableau, Power BI)Open-Source Data Management Tools (E.G., Apache Nifi, Talend)Data Management Platforms (E.G., Snowflake, Databricks)Cloud-Native Data Management SolutionsAutomation Tools for Data Pipelines (E.G., Airflow, Prefect)Data Pipelines for Machine Learning WorkflowsFeature Engineering and Dataset PreparationManaging Labeled and Unlabeled Data for Supervised and Unsupervised LearningData Versioning and Reproducibility in ML ExperimentsData Management for AI and Deep LearningBlockchain for Secure and Decentralized Data ManagementFederated Learning and Privacy-Preserving Data ManagementQuantum Computing and Its Impact on Data Management

The 16th National and the 12th International PIM Conference 2026April 29, 2026https://conference.pim.ac.th/inter/call-for-paper/The 16th National and The 12th International PIM Conference 2026 is an annual academic conference activity organized by the Panyapiwat Institute of Management. It aims to provide a forum for the presentation of research papers of the faculty staff and students from within and outside the institution and within and outside Thailand, for exchanging and sharing ideas among researchers, academics, and professionals, and for hearing suggestions from the qualified experts. This will hopefully lead to the development of more research studies with high quality and the creation of cooperative networks among academics in the same or related disciplines. PANYAPIWAT INSTITUTE OF MANAGEMENTTHE OFFICE OF RESEARCH AND DEVELOPMENT85/1 Moo 2, Chaengwattana Rd., Bang-Talad, Pakkred, Nonthaburi, 11120 ThailandMs. Kittiya Leartkitjanuwat Tel. +662855-0940E-mail: intercon@pim.ac.thMs. Suchinda Chaluai Tel. +662855-1560 (English Oral Presentation)Ms. Janpen Chanthaapichai Tel. +662855-0379 (English Poster Presentation)Ms. Maliwan Krawaonak Tel. +662855-0908 (Chinese Presentation)Office hours Monday – Friday 08.00 A.M. – 5.00 P.M.

The 11th International Conference on Image, Vision and Computing (ICIVC 2026)https://icivc.org/index.htmlThe 11th International Conference on Image, Vision and Computing (ICIVC 2026) will be held in Kunming, the Spring City of China, during July 17-19, 2026. The conference is co-sponsored by Kunming University of Science and Technology, China and IEEE, organized by the Faculty of Information Engineering and Automation of Kunming University of Science and Technology.Important Dates● Paper Submission Deadline: March 1, 2026● Notification of Acceptance: April 1, 2026● Camera Ready Version Due: April 15, 2026● Registration Deadline: April 15, 2026● Conference Period: July 17-19, 2026PublicationAccepted papers will be included in ICIVC 2026 Conference Proceedings, which will be archived in IEEE Xplore , and indexed by EI Compendex, Scopus, and other indexing services.ICIVC 2026 录用文章将被收录至会议论文集, 由IEEE出版, 并被EI Compendex 和 Scopus 检索ICIVC 2026 is listed in IEEE Official Conference Calendar | ICIVC 2026 被列入IEEE官方会议列表CALL FOR PAPERS (https://icivc.org/cfp.html)In order to ensure academic quality and attract more original high-level academic papers, we are now open to solicit papers. Welcome the professionals, experts, managements and students from the universities, research institutions, and companies to attend the conference!Track 1. Image processing theory and application Track 2. Computer Graphics and computational PhotographyTrack 3. Computer Vision techniques and application Track 4. Multimedia Technology Special Session 1: Generative AI-driven Image and Vision Innovation Special Session 2: Extreme Environment Visual Adaptation TechSpecial Session 3: Multi-modal Visual-Sensor Data Fusion

PhD Research Fellowship in AI, Politics and Societyhttps://www.kuleuven.be/personeel/jobsite/jobs/60607072?hl=enhttps://euraxess.ec.europa.eu/jobs/400168Application Deadline: 15 Mar 2026 - 23:59 (UTC)Offer DescriptionLINES & CRPD aim to launch a new research line on the broad theme of “AI, Politics and Society”. Artificial intelligence is rapidly transforming how decisions are made in government, business, and everyday life. This development offers significant opportunities, but it also introduces new political and societal challenges and risks. It is therefore essential to better understand how AI is—or may come to be—(re)shaping power, governance, and social relations in the future, and how societies can guide these technologies in democratic, fair, and accountable ways. As part of this new research line, we are seeking a highly motivated and outstanding doctoral candidate to join our research team. We welcome applicants who are eager to connect political and social analysis with the growing importance and impact of AI on (international) politics and society.You also contribute to collective responsibilities of the research group (such as educational services, team meetings, research proposals, supervision of bachelor and master students, invigilating exams, student recruitment activities, etc.).The applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.As part of the application process, applicants must submit a short research statement (maximum two pages) outlining their proposed research ideas. In this document, applicants should specify the context in which they wish to examine the growing impact, significance, and societal relevance of AI; explain why they consider this an important area for scholarly inquiry; and describe how they intend to investigate it (e.g., core research questions and methods).We welcome a broad range of proposals. Possible topics include, but are not limited to: how AI may (re)shape international politics; how states use AI strategies and regulation to gain geopolitical influence; the determinants of public acceptance of AI in governance and society; the use of AI in policymaking and in policy-relevant research; the distributional consequences of AI at local, national, or international levels; and how AI may affect citizens’ trust in government institutions.Your electronic application must include: Cover letterCVResearch statement (max. 2 pages)Copy of your Master’s thesisFull degree transcripts (both Bachelor’s and Master’s degrees)Short-listed candidates will be invited for an interview.You will receive a monthly scholarship in line with KU Leuven standards for PhD scholarships. You will initially be offered a one-year contract, which can be extended up to a total of four years.The scholarship provides access to social benefits, insurance coverage, and training opportunities.You will join a dynamic, international research team and receive support in developing your academic and professional career.Support is provided for conference participation, methodological training, and knowledge valorisation initiatives.For more information please contact CRPD Director, Prof. dr. Arnim Langer, mail: arnim.langer@kuleuven.beEligibility criteriaThe applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.

SDGs Symposium 2026 - AI and Sustainability: Opportunities and Challenges for a Sustainable FutureWe are pleased to announce that the SDGs Symposium 2026 - Al and Sustainability: Opportunities and Challenges for a Sustainable Future will be held on 17th February 2026. The event will take place in a hybrid format, both onsite at the University of Tokyo and online. We look forward to your participation.https://www.springernature.com/gp/researchers/campaigns/sdg-symposium-2026?lid=w1nflj8nra5y&utm_source=braze&utm_medium=email&utm_campaign=ACPG_NONE1_AWA1_W7_CEEV_06I8H_UTokyoSDGs25%20(SN_EN)_Variant%202&cep-id=68b66e22120a3c04ea90573aDate: Tuesday 17 February 2026Time: 14:00-17:10 JST (Symposium) 17:20-19:00 JST (Student poster session, Networking event)Venue: Ito International Hall, The University of Tokyo and Online (Zoom Webinar)Language: English (simultaneous Japanese translation)The event registration is free of charge.If you would like to request accommodations due to a disability, etc., please contact us here.Artificial Intelligence (AI) is transforming how we create, analyze, and act on information, driving innovation across industries and academia. It holds promise for creating sustainable solutions for optimizing resource use, improving inclusivity , and planning smart cities . Yet, AI also raises concerns . Its environmental footprint, including high energy and water consumption , remains poorly understood. Its societal risks such as widening inequalities , job losses, and biased decision-making demand urgent attention. This event aims to examine how AI can support the transition to a sustainable future and the achievement of the SDGs , while minimizing negative impacts. Discussions will focus on how to leverage AI’s potential to tackle sustainability challenges and create sustainable solutions, but also how to ensure transparency, inclusivity, and equity.Join leading researchers and students to engage in dynamic dialogue on AI’s role in shaping a sustainable and equitable society.

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

International Conference on Social Networks and Digital Society (ICSNDS-26)Venue: Copenhagen, DenmarkLink: https://iser.org.in/conf/index.php?id=100175656ISER is delighted to welcome you to the International Conference on Social Networks and Digital Society (ICSNDS-26) at Copenhagen, Denmark on 1st - 2nd April 2026, . This event will bring leading scientists, academicians, industry professionals, speakers, and experts of to one platform. The informative discussions will highlight solutions, achievements, trending issues, and future strategies.Final paper submission: 7th March 2026Conference Date: 1st Apr - 2nd Apr 2026Call For PaperSocial NetworksDigital SocietyOnline CommunitiesVirtual InteractionSocial MediaDigital IdentityNetwork AnalysisTechnology and SocietyCyber SociologyOnline BehaviorInternet CultureVirtual CommunicationSocial CapitalDigital ActivismNetworked Society

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.

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.

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.

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

Congratulations to Professor Dr. Sompong Klaynongsruang, Director of the Thailand Science Research and Innovation Agency (TSRI), on being elected as a Governing Board Member of the Global Research Council (GRC)!The Thailand Science Research and Innovation Agency (TSRI) extends its heartfelt congratulations to Professor Dr. Sompong Klainongsuang, Director of TSRI, on the occasion of his election as a Governing Board Member of the Global Research Council (GRC), representing the Asia-Pacific region. This prestigious appointment was made through a vote by GRC members during the 13th Annual Meeting of the Global Research Council, held in Riyadh, Kingdom of Saudi Arabia, from May 18–22, 2025.The Global Research Council (GRC) is a collaborative network of research funding agencies worldwide, aiming to foster international cooperation in science, research, and innovation. Being elected to the Governing Board is not only a tremendous honor for Thailand but also a testament to the capacity and leadership of TSRI in shaping international research and innovation policy.Furthermore, in 2026, Thailand—through the Thailand Science Research and Innovation Agency (TSRI)—will have the distinct honor of hosting the 14th Annual Meeting of the Global Research Council (GRC). This prominent forum will convene researchers, policymakers, and representatives from research funding organizations across the globe to exchange ideas and foster international academic collaboration, shaping the future of science and innovation.👏 This recognition marks a pivotal milestone for Thailand as it assumes a more proactive role on the global research stage and seizes a vital opportunity to strengthen its research and innovation ecosystem for long-term global sustainability.

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]

OpenAlexSearch and analyze the world's research.OpenAlex: The Open Index of Scholarly ResearchOpenAlex is a free and open catalog of global scholarly research. It maps the academic landscape through a rich citation graph, connecting:Works (research outputs)AuthorsVenues (journals & conferences)InstitutionsConcepts (fields of study)Funders✔ 100% Open Access✔ API-ready for research and analytics✔ A powerful alternative to Scopus and Google ScholarLearn more at: openalex.org

The 23rd Annual Conference and The 16th Youth ConferenceTheme: “Transforming to the Future: Innovation, AI and Regenerative Tourism and Hospitality”Deadline for Abstracts or Full Papers Submission: 6pm, 15 March 2025 (Hong Kong Time)Conference Date: May 27th - 30th, 2025Conference Venue: Chiang Mai, ThailandRead more at https://www.apacchrie2025.org Chiang Mai University, Thailand, warmly invites you to the APacCHRIE 2025 Youth Conference, held from 27 May to 30 May 2025, in Chiang Mai. This conference provides an excellent platform to connect with hospitality and tourism academics and industryprofessionals, fostering discussions on rapidly evolving industry trends. Under the theme "Transforming to the Future: Innovation, Al, and Regenerative Tourism and Hospitality", welook forward to welcoming all delegates to Chiang Mai, the heart of Thai Lanna culture!CALL FOR PAPERS This conference welcomes academics, professionals, and graduate students from the Asia Pacific and beyond, offering an outstanding platform for presenting and sharing peer-reviewed (double-blind) research. It also fosters rich exchanges between academic communities and industry practitioners on abroad spectrum of topics related to current trends and advancements in tourism and hospitality.We welcome abstracts and/or full papers aligned with the theme, "Transforming to the Future: Innovation, Al, and Regenerative Tourism and Hospitality." Submissions may include, but are not limited to, the following topics within the tourism and hospitality (T&H) sector:List of Topic AreasInnovation issues in Tourism and HospitalityCritical Issues and Cases in Tourism and HospitalityAl for Tourism and Hospitality BusinessEmerging ICT issues in Tourism and HospitalityManagement and Marketing in Tourism and HospitalityEnvironment, Social and Governance (ESG) inTourism Logistics Tourism and HospitalityTourist Experiences and Changing in Tourist BehaviorsRegenerative TourismService Designs in Tourism and HospitalityTourism Planning, Development and Sustainability• Tourism ImpactsSpecial Interest Tourism (SIT)New Trends in Tourism and HospitalityCreativity and Culture in Tourism and Hospitality • Other Topics Related to Tourism and Hospitalit

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