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Conference: The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026)

Nov 30, 2025 at 10:46 PM

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

Conference: The 11th International Conference on Big Data Analytics (ICBDA)

Nov 30, 2025 at 9:38 PM

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

Conference: The 10th International Conference on Deep Learning Technologies

Nov 29, 2025 at 11:22 PM

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

Conference: 2026 the 8th International Conference on Computer Science and Technologies in Education (CSTE)

Nov 29, 2025 at 10:57 PM

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

Conference: 26th International Conference on Computational Science

Nov 29, 2025 at 10:32 PM

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

Conference: 8th International Conference on Computer Communication

Nov 29, 2025 at 10:06 PM

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

Journal: SN Computer Science

Nov 25, 2025 at 12:14 AM

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.

Lab Location: Hub of Talents in AI and Innovation Next

Oct 4, 2025 at 12:55 AM

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.

Supporting EU-ASEAN Research: Open Calls for European Research Infrastructure Access

Sep 11, 2025 at 12:46 PM

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

Industry Linkages: GMS LOGISTICS DATABASE

Jul 25, 2025 at 3:08 PM

Researchers interested in logistics can explore detailed information about the logistics industry on this platform. Company Database With over 3,000 companies profiles in Logistics sector based in five GMS countries, namely Cambodia, Laos, Myanmar, Vietnam and Thailand. https://logisticsgms.com Operated by the Mekong Institute with support from the Mekong–Republic of Korea Cooperation Fund (MKCF), the GMS Logistics Database is part of a regional project aimed at lowering cross‑border logistics costs, enhancing service quality and timeliness, and integrating national logistics providers into regional and global supply chains. The GMS Logistics Database is a regional web and mobile information platform that connects logistics providers across the Greater Mekong Subregion. For Thailand, it hosts profiles of approximately 237 logistics companies, offering services such as freight forwarding, warehousing, customs brokerage, transport, and more. Members can use it for business matchmaking, forums, regulatory insights, and news updates to support cross-border logistics collaboration.Features & ServicesCompany Database:Contains profiles of over 200 logistics companies registered in Thailand (237 entries listed) GMS Logistics+5GMS Logistics+5GMS Logistics+5.Providers include freight forwarders, warehouse operators, customs brokers, trucking companies, inland container depots, rail‑freight operators, consolidators, crane/MHE operators, and more GMS Logistics+1GMS Logistics+1.Users can sort and filter by location, service type, keyword, or review rating to identify suitable providersGMS Logistics.Member Functionality:Registered members can customize company profiles, list their services or products, use forums, and engage in real‑time B2B and B2C matching with other logistics operators across the GMS region GMS Logistics+5GMS Logistics+5GMS Logistics+5.Business Forum:Offers an online platform including instant chat for sharing market trends, regulatory updates, business interests, and collaboration opportunities among logistics stakeholders GMS Logistics+1GMS Logistics+1.Regulations & Agreements:The site includes an information hub with the latest logistics and transport regulations, national and international logistics agreements, and policy updates GMS Logistics.News & Events:Provides event calendars and news related to logistics developments, training programs, and sector forums for the GMS region ResearchGate+6GMS Logistics+6GMS Logistics+6.Mobile App:A companion mobile application is available to enable timely and efficient logistics services and networking on the go GMS Logistics.This platform provides green logistics features, such as those shown here.

Invitation to MHESI FAIR: “Sci‑Power for Future Thailand”

Jul 23, 2025 at 12:00 AM

MHESI FAIR 2025: “Sci‑Power for Future Thailand”https://www.mhesifair.com The Ministry of Higher Education, Science, Research and Innovation (MHESI) proudly presents MHESI FAIR: Sci‑Power for Future Thailand, a dynamic science, research, and innovation expo designed to shape the future of Thailand’s knowledge economy.We warmly invite all professors, researchers, and motivated students to join MHESI FAIR 2025—immerse yourself in science and innovation, share your work, gain new insights, and help forge pathways toward Thailand’s sustainable scientific future.🗓 Date & Venue:August 9–16, 2025 (9 AM–8 PM daily), and August 17 (9 AM–6 PM)Exhibition Halls 1–4, Queen Sirikit National Convention Center (QSNCC), Bangkok🎯 Who Should Attend:Professors & Research Team Leaders looking to showcase research breakthroughs and explore partnershipsResearchers eager to share findings, gain visibility, and network with fellow expertsUniversity Students passionate about STEM and innovation, keen to engage in workshops, seminars, and exhibitions🔍 What You’ll Experience:Explore six immersive thematic zones across 23,000 m², dedicated to lifelong learning, startups, exponential growth, well‑being, and Thailand’s scientific future Thai News+1MHESIFAIR+1Join seminars and expert panels led by thought leaders in science, research, and innovation (check the Seminar & Activities pages for the full program) MHESIFAIRMHESIFAIRParticipate in interactive science shows, skill‑building workshops, and engaging music & cultural performances MHESIFAIRMHESIFAIREnjoy gamified “Stamp Point” challenges to earn rewards and connect with peers across different zonesMHESIFAIR

TSRI Director Appointed to Global Research Council Board

May 24, 2025 at 12:02 AM

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.

Journals: Prospects for Space Quantum Research

Feb 13, 2025 at 10:56 PM

EPJ Quantum Technology is calling for submissions to our Collection on Prospects for Space Quantum ResearchSubmission Deadline: 28 February 2025Read more at https://www.springeropen.com/collections/PSQR Submission GuidelinesThis Collection welcomes submission of research articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Prospects for Space Quantum Research" under the “Details” tab during the submission stage.Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.About the CollectionQuantum technologies are gaining importance every day. Space exploration has been on the forefront of development of quantum technologies and investigation of quantum mechanical phenomena. It is thus evident, that space, with its demands on size, mass, and power, can be a major technology driver and accelerator for innovations in quantum technology. In this topical Collection, we want to summarize the uses of and advancement in quantum technologies:In Space - Quantum technologies in space can be deployed to investigate a number of fundamental questions not possible in terrestrial environments, especially: • Quantum Mechanical Phenomena: • Decoherence Experiments • Surface Interactions • 3D atomic systems • Et cetera • Fundamental Physics: • Weak Equivalence Principle Tests • Local Lorentz Invariance Tests • Local Position Invariance Tests • Search for new physicsFor Space - The exploration of space can benefit from the possibilities in quantum technologies. Quantum technologies can be deployed for space, especially in: • Navigation without GNSS • Deep Space Timing, Position and Navigation (PNT) • Inertial Sensing • Navigation along and Generation of Planetary Maps • Planetary and Lunar Research • Space Weather Monitoring • Gravitational Redshift • Gravitational Wave DetectionFrom Space - Our civilization has come to rely on global services that can be improved by or include already quantum technologies, such as: • Global Navigation Satellite System (GNSS) • Earth Observation • Gravimetry / Gravity Gradiometry • Quantum RADAR • Quantum LIDAR • Altimetry • Quantum Communication NetworksThis topical issue welcomes publications in all these areas with a specific focus given to the current strategic considerations at NASA, through the National Academies' Biological and Physics Sciences Decadal Survey report, and at ESA.

Training: Technology Leadership and Innovation Programme

Jan 22, 2025 at 4:31 PM

Programme OverviewPROGRAMME FEE: US$5,000STARTS ON: 31 March 2025DURATION: 20 weeks (4 - 6 Hours/ week)This new year, invest in a learning journey to upskill and gain a competitive edge. Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 24 January 2025 using this code: APAC200ALL8364 and get USD200 programme fee benefit. Limited seats to success available. Claim yours now.Application fees: USD60Read more at https://cmu.to/A8Tt0With organisations and consumers being driven by technological innovations, such as Artificial Intelligence, Automation and Data Analytics, organisations are looking for professionals with a deep understanding of these innovations who can foster significant organisational impact. This is the time to boost your career. The NUS School of Computing Technology Leadership and Innovation Programme caters to individuals aspiring to drive strategic transformation in AI, digitalisation and innovation domains. Through the carefully curated modules and capstone project, you develop the requisite mindset and skills to implement impactful strategies using global technological innovations .Programme Modules (Module 1-18)Module 1: Overview of Digital TransformationModule 2: Digital Business ModelsModule 3: Strategy Formulation and Process of Digital TransformationModule 4: Digital Transformation Action PlanModule 5: Role of Data and AnalyticsModule 6: ML-Deep Learning and Neural NetworkModule 7: Robotics and Reinforcement Learning Module 8: Generative AIModule 9: AI and Business ApplicationModule 10: CybersecurityModule 11: Other Technologies: IoT, AR/VRModule 12: Innovation Strategy to Address Digital DisruptionModule 13: System Thinking and Agile MethodologiesModule 14: Implementing Digital InnovationModule 15: Building Team and Digital Culture for TransformationModule 16: Managing Digital Complexities and Change ManagementModule 17: Leading through ESG ChallengeModule 18: Technology and Innovation: Security and Governance

SPACE (SPace, Aerospace and defenCE conference) 2025

Jan 19, 2025 at 9:02 PM

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

2025 IEEE Deep Learning and Computer Vision

Jan 6, 2025 at 2:05 AM

Call for Papers2025 IEEE 2nd International Conference on Deep Learning and Computer VisionJinan|ChinaApr. 18-21, 2025Full paper submission Deadline: Feb. 10th, 2025Acceptance Notification: Mar. 26th, 2025Registration Deadline: Apr. 11th , 2025Conference Date: Apr. 18-21st, 2025Link: https://www.icdlcv.orgContact: icdlcv@126.comYou are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to DLCV 2025 conference. Topics of interest for submission include:Track 1: Deep LearningMachine LearningUnsupervised LearningDeep Reinforcement LearningConvolutional Neural Networks (CNN)Deep Hierarchical Networks (DHN)Recurrent Neural Network (RNN)Neuro-Fuzzy AlgorithmsAutoencodersGraph Representation LearningClustering, Classification and RegressionEvolutionary MethodsAutonomic ComputingUser ModelingInformation Retrieval and ReuseQuestion-AnsweringCognitive ArchitecturesDeep Learning Approach in Recommendation SystemsTrack 2: Computer VisionBig data and computer visionBiomedical image analysisImage and video codingImage and video retrievalRemote sensing imageComputational photographyOptimization and method of studySensor and displayData collection and performance analysisComputer vision of deep learningDocument image analysisCharacter identificationAnalysis, behavior identityVisual modelsVideo analysisMultimodal information processingVisual and languageMotion and tracking3D reconstructionHuman-computer interaction