News & Activities

2026 13th International Conference on Coastal and Ocean EngineeringTianjin, China | August 7-9https://www.iccoe.org/index.htmlImportant Dates:Submission Deadline: April 25, 2026Notification Date: May 15, 2026Registration Deadline: May 30, 2026Camera-Ready Paper: May 30, 2026PublicationPapers will go through peer review performed by technical program committee members and international reviewers. Selected papers will be published in Lecture Notes in Civil Engineering (ISSN: 2366-2557) as a proceedings book volume by Springer. The book series is now indexed by EI Compendex , Scopus, INSPEC, SCImago etc. To advance research and technological applications in coastal and ocean engineering, 2026 13th International Conference on Coastal and Ocean Engineering (ICCOE 2026) will be held in Tianjin, China duringAugust 7-9, 2026. The conference is sponsored by Tianjin University, China and China University of Petroleum (East China), China, co-sponsored by Qingdao University of Technology. ICCOE 2026 aims to provide a high-level international academic exchange platform for experts and scholars to explore new theories, technologies, and diverse applications in coastal and ocean engineering. ICCOE 2026 warmly invites researchers, engineers, and students from academia and industry worldwide to actively participate, share their latest research achievements, and discuss academic development trends. We look forward to welcoming you to Tianjin, where we will collectively witness the innovations and breakthroughs in coastal and ocean engineering. In addition a rich schedule of activities including keynote speeches, invited speeches, panel discussions, oral reports, poster sessions, etc., the submitted and accepted papers will be published in the conference proceedings after peer-review process.Call for PapersThe 2026 13th International Conference on Coastal and Ocean Engineering (ICCOE 2026) is the premier forum for the presentation of technological advances and research results in the fields of Coastal and Ocean Engineering. Topics of interest for submission include, but are not limited to: Call for PapersIntelligent navigation and simulation technologyPolar and special waters navigationShip maneuvering and collision avoidanceMaritime navigation risk assessment and controlMaritime safety guaranteeMaritime operation supportMaritime search and rescue and salvageMaritime management and controlMaritime infrastructure maintenance and operationShip-shore communication and remote drivingIntelligent navigation assistance technologyIntelligent fusion perceptionBig Data for marine transportationIntelligent navigation and control for marine shipsCoastal and Ocean EngineeringBeach erosion and sediment transportClimate change and sea level riseCoastal infrastructure developmentsHydrodynamics of off shore structuresLowland development and reclamationMarine ecology and environmentsMarine and offshore wind energyOil spill and environmental hazardsPort works (dredging, seawall design, etc.)Sea water intrusionTsunami, waves and tidesWastewater disposalEstuary coastal engineering offshore engineeringdeep sea engineeringport waterwayMarine energy engineeringunderwater engineeringsalvage techniqueOffshore oil development technology and equipmentoffshore fixed jacket platformthe ocean activities platformsubsea pipelineoil and gas gathering and transferringWetlands

TVET Smart Idea2Innovationhttps://nriis.go.th/home/news/12259Participation ProcessSubmit inventions and innovation works for the preliminary round through the National Research and Innovation Information System (NRIIS) at https://nriis.go.th.Teams that pass the selection process will participate in the activity TVET Smart Idea2Innovation: Vocational Inventions and Innovations Toward Practical Application, to be held during May–June 2026.Submissions are open from now until 23 March 2026.Qualifications of Participants(To promote equitable opportunity distribution and strengthen research networks)Target Group:Students at the Vocational Certificate (Por Wor Chor) Level, Year 1–2, or Higher Vocational Certificate (Por Wor Sor) Level, Year 1, in order to enable continuous development of their work prior to graduation.Team Composition:Each team must consist of 2 academic advisors and 2 students to ensure effective coaching and knowledge transfer.Selection Consideration:Institutions with diverse backgrounds will be considered, with emphasis on providing opportunities for “new generation researchers” whose research or inventions have not previously received awards.Categories of Inventions and InnovationsAgriculture and Agro-IndustryPublic Health, Health, Food, and Health ProductsInnovation and Artificial Intelligence Technology, Smart DevicesEnergy, Environment, Materials Technology, and BCG Economy ModelQuality of Life and Soft PowerFor Further Information (during official working hours):Research and Innovation Workforce Capacity Development GroupResearch and Innovation Resource Administration DivisionNational Research Council of Thailand196 Phahonyothin Road, Lat Yao Subdistrict, Chatuchak District, Bangkok 10900Tel: +66 2 579 1370–9 ext. 263–265 or 267Website: www.nrct.go.thE-mail: rinvec@nrct.go.thLine Official: @rin.nrctAlternatively, interested applicants may contact the Office of the Vocational Education Commission (OVEC), Bureau of Vocational Education Research and Development:Ms. Saisamorn Kumsumalee – Tel: 081-257-6963Ms. Sataporn Dumdang – Tel: 081-065-6267Email: ver.ip@vecmail.orgNote: The timeline may be adjusted as appropriate.

2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI)https://www.bdai.netSubmission Deadline: March 20th, 2026Notification Date: April 20th, 2026Big data and artificial intelligence are important fields for future scientific and technological development and industrial upgrading. The International Conference on Big Data and Artificial Intelligence is an academic conference initiated by Prof. Sheng-Uei Guan, Professor of Xi 'an Jiaotong-Liverpool University, and co-sponsored by many well-known universities and institutions at home and abroad. Since the first conference was held in Beijing in 2018, the conference has been held for 8 years. It has been focused on the original basic and applied research in the field of big data and artificial intelligence. BDAI attracts a large number of researchers from dozens of countries and regions, such as China, England, Finland, Russia, Thailand, Singapore, Turkey, Luxembourg, Germany, Malaysia, Japan, and Denmark.2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI) will be co-sponsored by Chongqing University of Science and Technology, China; IEEE China Council and IEEE from July 3-5, 2026 in Chongqing, China. This conference will focus on foundations of the original, either theoretical or applied research. It is suitable for experts and scholars in the field of big data and artificial intelligence. Papers can be submitted and presented for discussions. Industrial companies, incubators and investors are also welcome to join BDAI. The conference will provide a platform for scholars to interact and find new opportunities for science and technology development.Conference ProceedingsAll submissions will be peer reviewed, and the accepted papers will be published in the BDAI2026 Conference Proceedings by IEEE, Conference content will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex and Scopus, as well as other Abstracting and Indexing (A&I) databases.Call for PapersThe conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Big Data Models and AlgorithmsFoundational Models for Big DataAlgorithms and Programming Techniques for Big Data ProcessingBig Data Analytics and MetricsBig Data ArchitecturesCloud Computing Techniques for Big DataBig Data Open PlatformsBig Data in Mobile and Pervasive ComputingBig Data ManagementBig Data Persistence and PreservationBig Data Quality and Provenance ControlManagement Issues of Social Network Big DataBig Data Protection, Integrity and PrivacyModels and Languages for Big Data ProtectionPrivacy Preserving Big Data AnalyticsBig Data EncryptionBig Data ApplicationsAlgorithms and Systems for Big Data SearchMachine learning based on Big DataVisualization Analytics for Big DataArtificial IntelligenceIntelligent User InterfacesSoft ComputingNeural NetworksMachine LearningUncertainty in AIModel-Based ReasoningIndustrial applications of AITechnologies for Computational CommunicationBig Data Analytics for Online JournalismIntelligent Technologies for MediaIntelligent Information Processing and Applications Special SessionsSession 1: Human-Computer Interaction (HCI) in Intelligent Robotics and SystemsChair: Assoc. Prof. Haipeng Wang, Northwestern Polytechnical University, ChinaSession 2: Synergizing AI Innovations: From Perception to Prediction for Scientific Discovery and Complex Systems Chair: Prof. Huan Rong, Nanjing University of Information Science and Technology, ChinaSession 3: Artificial Intelligence and Security: Technologies, Risks, and Governance Chair: Assoc. Prof. Yang Bai, Chengdu University of Information Technology, ChinaSession 4: Intelligent Drive Data: The Fusion Revolution of Artificial Intelligence and Big DataChair: Dr. Ziyu Jia, Institute of Automation, Chinese Academy of Sciences, ChinaSession 5: Neurodynamic Optimization and Distributed ComputingChair: Dr. Jingxin Liu, Chongqing University of Science and Technology, ChinaCo-chair: Prof. Hengmin Zhang, East China University of Science and Technology, China

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

2026 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

HARMONIZED NATIONAL R&D AGENDA 2022-2028 (Philippines)https://www.dost.gov.ph/phocadownload/Downloads/Resources/Quick_Links/HNRDA_2022-2028.pdfThe Harmonized National Research and Development Agenda (HNRDA) 2022–2028 presents the Philippines’ national research priorities and strategic directions for science, technology, and innovation. The document outlines key thematic areas covering economic development, human well-being, environmental sustainability, and emerging technologies. It defines priority sectors, cross-cutting research areas, and implementation mechanisms to align research efforts with national development goals. The agenda serves as a guiding framework for government agencies, academia, and industry in planning and coordinating research initiatives from 2022 to 2028.Harmonized National Research and Development Agenda (HNRDA) 2022–2028Condensed Table of ContentsOverview and Strategic ContextVision, Objectives, and Guiding PrinciplesNational R&D Priority AreasEconomic and Industrial DevelopmentHuman Health and Social Well-beingAgriculture, Food Security, and Natural ResourcesEnvironment, Climate Change, and Disaster Risk ReductionEnergy, Water, and Sustainable InfrastructureEmerging Technologies and Basic ResearchCross-Cutting Research ThemesImplementation, Coordination, and GovernanceMonitoring, Evaluation, and Review Framework

IEEE Submission and Peer Review PoliciesIEEE Clarifies Guidelines on the Responsible Use of AI in Scholarly Publishinghttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/submission-and-peer-review-policies/#ai-generated-contentIEEE has reaffirmed its commitment to research integrity and transparency by issuing clear guidelines on the use of artificial intelligence (AI) in the preparation and submission of scholarly manuscripts. These policies ensure that innovation in AI-assisted research and writing is balanced with ethical responsibility and the preservation of trust in the peer-review process.Under IEEE’s submission and peer-review policies, authors are permitted to use AI-generated content—including text, figures, images, and code—provided that such use is explicitly and transparently disclosed. Authors must identify the AI tools used, specify the sections of the manuscript affected, and describe the nature of the AI contribution in the Acknowledgments section. Importantly, AI systems cannot be listed as authors, and full accountability for the accuracy, originality, and integrity of the work remains solely with the human authors.IEEE emphasizes that AI tools may assist researchers, but they do not replace scholarly judgment or ethical responsibility. Authors are expected to carefully review all AI-generated material to ensure correctness, proper attribution, and compliance with publication standards. The undisclosed or misleading use of AI-generated content may be treated as a breach of publishing ethics.In parallel, IEEE maintains strict confidentiality standards in the peer-review process. Reviewers are prohibited from using public AI tools to analyze submitted manuscripts, as doing so could compromise confidential content. Through these policies, IEEE aims to support responsible innovation while safeguarding the credibility, transparency, and integrity of the global scholarly record.Guidelines for Artificial Intelligence (AI)-Generated TextUse by Authors“ The use of content generated by artificial intelligence (AI) in an article (including but not limited to text, figures, images, and code) shall be disclosed in the acknowledgments section of any article submitted to an IEEE publication. The AI system used shall be identified, and specific sections of the article that use AI-generated content shall be identified and accompanied by a brief explanation regarding the level at which the AI system was used to generate the content.The use of AI systems for editing and grammar enhancement is common practice and, as such, is generally outside the intent of the above policy. In this case, disclosure as noted above is not required, but recommended. "

DAAD–SEARCA In-Country/In-Region Scholarship 2026–2027https://www.searca.org/daad-scholarship?fbclid=IwZXh0bgNhZW0CMTAAYnJpZBExYWVkS3Rvb2g1OWpHVGhJRXNydGMGYXBwX2lkEDIyMjAzOTE3ODgyMDA4OTIAAR7Srd2GZBSTRmSITs38eNMD_JoADI-gSBrlsKWMQ_QrAzFoD7orm5Tw1WovvA_aem_Te4GscRZJXn8MqHarPLsbADeadlines: 16 February 2026 – via DAAD portalThe Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) invites applications for the DAAD–SEARCA Scholarship Programme for Master’s and PhD studies for Academic Year 2026–2027 in agriculture, natural resources, environment, and food-related fields.Up to 25 scholarships are available for candidates who plan to pursue careers in teaching and/or research at higher education institutions in Southeast Asia.Key Eligibility:Nationals of SEAMEO member countriesUniversity staff / prospective teaching or research staff / public sector personnelAge: ≤ 40 (Master’s), ≤ 45 (PhD)IELTS 6.0 or higherLast degree completed within the past 6 yearsResearch focus on SUSTAIN Southeast AsiaAdmission or proof of application to partner universitiesPartner Universities:IPB University (Indonesia), Kasetsart University (Thailand), Universitas Gadjah Mada (Indonesia), University of the Philippines Los Baños, Universiti Putra MalaysiaDAAD's partnership with SEARCA started in school year 1975–1976 through a support to the Center's graduate scholarship program leading to Masters and PhD degrees in agriculture. The first 15 beneficiaries of the DAAD support were graduate students from Cambodia, Indonesia, the Philippines, Thailand, and Vietnam. Ten scholarship recipients pursued their Master's degree, while five pursued their PhD.As of Academic Year 2025/2026 (December 2025), DAAD and SEARCA have awarded 434 Southeast Asian nationals from Cambodia (19), Indonesia (94), Lao PDR (10), Malaysia (15), Myanmar (32), Philippines (109), Thailand (82), Timor Leste (26), and Vietnam (47). Among the 434 scholarships, 210 pursued their MS, 219 pursued PhD, and 5 enrolled for Non-degree.EligibilityOpen to nationals of Cambodia, Indonesia, Lao PDR, Myanmar, Malaysia, Philippines, Timor Leste, Thailand, and VietnamMust be (a) staff member of a public university, (b) or a candidate considered for teaching or research staff recruitment, (c) or from the public sectorMust not be more than 40 (Master's Degree) or 45 (PhD) years of age at the time of application.Have completed their last university degree not more than 6 years ago at the time of application.Proposed thesis research should focus on sustainable transformation of agricultural systems through innovation in Southeast Asia. Moreover, research topics must strategically contribute to any of the following outcomes:Increased farmers' incomeImproved food security and nutritionGreater climate resilience of agricultural systemsEmpowered farmers, farmer groups, and agricultural stakeholders and their institutionsScholarship BenefitsCovers tuition and other school fees; study and research allowance; printing allowance; stipend for food, lodging and incidental expenses; travel allowance (In-Region only); and insurance.Details & application: https://www.searca.org/daad-scholarshipInquiries: gsid@searca.org

The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)Conference Theme: "AI-Driven Innovations for a Sustainable Future"https://mlmi.netSubmission Deadline: February 5, 2026Notification Deadline: March 5, 2026Registration Deadline: March 20, 2026 We are thrilled to announce that the 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) will be held in Tokyo, Japan, from July 17 to 20, 2026. Organized by Rikkyo University, Japan, MLMI 2026 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Tokyo. MLMI 2026 aims to advance the field of machine learning and machine intelligence by fostering interdisciplinary collaboration and showcasing cutting-edge research. The scope of MLMI 2026 includes, but is not limited to, deep learning, reinforcement learning, natural language processing, computer vision, robotics, AI ethics, and the integration of machine intelligence in domains such as healthcare, finance, autonomous systems, and environmental sustainability. By providing a platform for knowledge exchange and collaboration, MLMI 2026 seeks to drive innovation and inspire the development of intelligent systems that benefit society.MLMI 2026 offers a unique opportunity to engage with the latest research, connect with global experts, and contribute to the future of machine intelligence. We invite you to join us for four days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration.Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other database.Topics of interest for submission include, but are not limited to:Track 1: Deep Learning and Neural Architectures Track 2: Reinforcement Learning and Sequential Decision Making▪ Architectural Advances ▪ Advanced Reinforcement Learning Algorithms▪ Efficient Training Techniques ▪ Multi-Agent Reinforcement Learning▪ Graph Neural Networks ▪ Time Series and Sequential Data▪ Generative Models ▪ Predictive Modeling▪ Neural Architecture Search ▪ Anomaly Detection▪ Transfer Learning ▪ Sequential Decision Making ▪ Real-Time AI Systems Track 3: Applied Machine Intelligence Track 4: Natural Language Processing and Multimodal Learning▪ Machine Learning in Healthcare ▪ Large Language Models▪ AI in Robotics ▪ Multilingual and Low-Resource NLP▪ AI for Cybersecurity ▪ Multimodal Machine Learning▪ Biometric and Behavioral Analytics ▪ Cross-Modal Retrieval and Generation▪ Industry-Specific Applications Track 5: Emerging Paradigms and Future Directions Track 6: Explainable, Ethical, and Human-Centered AI▪ Quantum Machine Learning ▪ Explainable AI (XAI)▪ Federated and Distributed Learning ▪ Ethical AI and Fairness▪ AutoML and Meta-Learning ▪ Privacy-Preserving Machine Learning▪ Sustainable and Green AI ▪ Human-Centered AI▪ Hybrid Models ▪ Augmented Intelligence

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

2026 the 9th International Conference on Nanoscience and Technology (ICNST 2026) will be held in Kuala Lumpur, Malaysia during July 15-19, 2026.https://www.icnst.orgImportant DatesSubmission Deadline: Feb. 25, 2026Notification Deadline: Mar. 20, 2026Registration Deadline: Apr. 15, 2026 ICNST 2026 focuses on the fascinating nano-world, mesoscopic physics, analysis with atomic resolution, nano and quantum-effect devices, nanomechanics and atomic-scale processes and so on. ICNST 2026 is aiming to convene experts around the world to present their research works and discuss the present hot topics in the field of nano science and technology. ICNST will be held every year to make it an ideal platform for people to share views and experiences in nanoscience and technology and related areas.All submissions will be peer reviewed 2-3 reviewers, and the accepted papers after registration will be published in Materials Science Forum (ISSN print 0255-5476 / ISSN web 1662-9752), which will be indexed by Scopus, Chimica, Inspec, Chemical Abstracts Service, Google Scholar, ProQuest, etc. Call for Papers (https://www.icnst.org/cfp.html)ICNST 2026 focuses on the fascinating nano-world, mesoscopic physics, analysis with atomic resolution, nano and quantum-effect devices, nanomechanics and atomic-scale processes and so on. Topics of interest for submission include, but are not limited to:Advanced Nanomaterials:▲Nanoparticles Synthesis and applications▲Nanocomposites / Bionanocomposites Materials▲Nanofluids▲Nanostructured / nanoporous Materials and devices▲Nanostructured coatings, surfaces and membranes▲Carbon Nanostructures and devices/ Graphene▲Polymer Nanotechnology▲Soft Nanotechnology and ColloidsGraphene and 2D Materials:▲Fundamental Science of Graphene and 2D Materials▲Growth, synthesis techniques and integration methods▲Characterization techniques (AFM, SPM, TEM, etc.)▲Chemistry and biology studies of graphene and 2D Materials▲Applications in electronics, Photonics, Magnetism, Spintronics, sensors,etc▲Applications in energy (photovoltaics, fuel cells, hydrogen etc)▲Application in health and biomedical▲Graphene-related health and environment research/ Toxicity▲Graphene: Innovation and commercializationNanoMetrology- Characterization and Modelling at the Nanoscale:▲State of the art of measurement at the nanoscale level▲Methodologies▲Precision instrumentation design and theory▲Nanotribology, Surface nanometrology/ 3D printing, etc▲New and emerging measurement and analysis technologies▲Standards for nanometer scale Characterization▲Reference materials, measurement standards, etc▲Good laboratory practice, traceability, uncertainty, calibration, verification, etc▲Emerging control theory and applicationsNanoscale Electronics:▲Nano Electronics and Photonics▲Memory and logic devices, circuits and architecture for advanced CMOS technologies▲Beyond and extended CMOS devices▲spin electronics▲Sensors based on emerging devices▲Quantum electronics▲Neuromorphic architectures▲Interconnecting nanoscale objects▲3D approachesNanotech for Energy and Environment:▲Nanomatrials for Clean and Sustainable Technology▲Nanotechnology for Solar Energy Collection and Conversion▲Energy Storage and Novel Generation▲Nanotech for Oil and Gas▲NanoNuclear Materials▲Fuels Applications▲Renewable Energy Technologies▲Bio Sources for Materials and Fuels▲Green Chemistry and Materials▲Water Technologies▲Smart GridNanotech in Life Sciences and Medicine:▲Bionanomaterials and Tissues Engineering▲Biosensors, Diagnostics and Imaging▲Materials for Drug and Gene Delivery▲Biomarkers and Nanoparticles▲Cancer Diagnostics, Imaging and Treatment▲Drug Delivery and Therapeutics▲Cancer Nanotechnology▲Nano Robots▲DNA nanotechnology▲Nanotoxicity Nanotechnology Safety:▲NanoToxicology▲Risk assessment and management▲Measurement of health risk▲Exposure scenarios▲Regulation and ethical impacts Nano Applications:▲Food Technology▲Catalysis▲Military and Defence▲Aeropspace and Vehicle Manufacturers▲Manufacturing and Construction▲Textiles

2025 AnalysisAn in-depth look at the Highly Cited Researchers 2025 listhttps://clarivate.com/highly-cited-researchers/analysis/The Highly Cited Researchers 2025 list identifies and celebrates individuals who have demonstrated significant and broad influence in their fields of research. Through rigorous selection criteria and comprehensive analysis, we recognize researchers whose exceptional and community-wide contributions shape the future of science, technology and academia globally.This program also emphasizes our commitment to research integrity. Our evaluation and selection process continues to evolve with filters to address issues including hyper-prolific authorship, excessive self-citation, anomalous publication and citation patterns and profiles, ensuring that recognized researchers meet the benchmarks we require for this program.An exploration of this global landscape of top-tier research talent provides us with insights on global research and innovation trends.This year Clarivate has designated 7,131 Highly Cited Researcher awards to 6,868 individuals. Some researchers have been recognized in more than one Essential Science Indicators (ESI) field, resulting in more designations than individual awardees. This analysis, which includes the distribution of designations across nations and institutions, reflects the impact of these 6,868 individuals, distributed across fields, in accordance with the size of each.Details: Highly Cited Researcher awards by ESI field and cross-field categoryTop 10 countries/regions by number of Highly Cited Researcher awardsTop 52 homes to Highly Cited Researcher awards 2025

The e-Asia Joint Research Program (the e-Asia JRP) in the collaboration with PMU-BAnnouncement: The 15th Call for Proposals in the field of cooperation in Alternative Energy Deadline for Proposal Submission : 31 March 2026 17:00 (Bangkok Time)Official website: https://www.the-easia.org/jrp/Fields/ Topic for proposal: Alternative EnergySustainable and Renewable Fuels focusing on (1) Net-Zero Emission Policy and (2) Sustainable Aviation and Marine FuelsEligibility/Additional requirementsApplicants applying as a Lead PI in Thailand must be researchers who are either Thai citizens or non-Thai citizens affiliated with a Thai organization, such as a public or non-profit research institute or university in Thailand.The proposal must have the researchers from Thailand at least 2 institutes/universities to cooperate with.Proposal topics must align with and relate to “Alternative Energy” : Sustainable and Renewable Fuels focusing on (1) Net-Zero Emission Policy and (2) Sustainable Aviation and Marine Fuels.A project leader is an individual with expertise who is affiliated with a government research unit or a higher education institution nationwide and has a research track record that demonstrates their practical knowledge and abilities.The project leader should have publications in international academic journals as a Corresponding or First Author, with at least 5 publications in the past 5 years or as specified by PMU-B.The budget should be within the specified limit.Thai applicants must submit their application and endorsement letters from all research partners to PMU-B through NRIIS: https://nriis.go.thThe Thai applicant’s institution must endorse the submission in the NRIIS system.Deadline of submission to NRIIS System by 17:00 (Thailand Standard Time, UTC+7) on 31 March 2026The Lead PI must also submit the common application to the e-ASIA JRP Secretariat.The entire submission process must be completed before the closing date. Contact InformationDR. SMITH LEKNETTIP (Mr.)Senior Project Analyst, Global Partnership for Sustainability & SocietyProgram Management Unit for Human Resources & Institutional Development,Research and Innovation (PMU-B), ThailandTel: +66 87566 0103E-mail: smith.lek@nxpo.or.th

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

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

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

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