News & Activities

The UK’s National AI Strategy If you are interested in learning more about the UK’s National AI Strategy, additional details can be found on the original platform at the following link:https://aistandardshub.org/the-national-ai-strategyhttps://www.linkedin.com/company/ai-standards-hub/The following information presents the UK government’s position on AI as set out in the UK’s National AI Strategy, and highlights how the AI Standards Hub will contribute to the delivery of the UK’s vision and outcomes for AI. The National AI Strategy outlines the United Kingdom’s long-term vision for becoming a global leader in artificial intelligence by promoting innovation, investment, and responsible AI governance. The strategy focuses on three major pillars: strengthening the AI ecosystem through research and talent development, supporting the transition to an AI-enabled economy across industries, and establishing effective national and international AI governance frameworks.A key component of the strategy is the development of trustworthy and ethical AI through international technical standards. The UK established the AI Standards Hub to support collaboration among government, academia, industry, and international partners in shaping global AI standards. The initiative aims to improve AI reliability, transparency, security, and interoperability while encouraging innovation and public trust in AI technologies.The strategy also emphasizes a “pro-innovation” approach to AI governance by balancing regulation with technological advancement. The government supports the creation of AI governance tools, standards, and policy frameworks that encourage responsible AI adoption while protecting public values, human rights, and economic competitiveness. In addition, the strategy highlights the importance of international cooperation, AI ethics, and long-term AI safety in supporting sustainable digital transformation.LSE to launch Global Forum on AI and the Social Sciences with $2m award from the MacArthur Foundationhttps://www.lse.ac.uk/dsi/news/2026/global-forum-announcedThe London School of Economics and Political Science (LSE) has announced the launch of a new Global Forum on AI and the Social Sciences, supported by a $2 million grant from the John D. and Catherine T. MacArthur Foundation. The initiative aims to bring together policymakers, researchers, industry leaders, and civil society representatives to explore how artificial intelligence can better serve society and human needs through evidence-based research and international collaboration.The Forum will be led by professors from LSE’s Data Science Institute (DSI) and will focus on the social and economic impacts of AI. Each year, the Forum will address a different major AI-related issue. The inaugural event, scheduled for September 2026 at LSE, will examine how AI is transforming the future of work and how governments, businesses, and workers can prepare for these changes.In addition, LSE plans to publish an annual State of AI and Society Report to summarize current research findings, identify knowledge gaps, and support informed policymaking. The initiative will also introduce a Commitment Charter, encouraging cooperation among governments, researchers, industry, and funding organizations to promote responsible and human-centered AI development. Overall, the Forum aims to position social science research at the center of global AI discussions and governance.Ethics of AIOnline coursehttps://cmu.to/92C4MThe LSE Ethics of AI Online Course is a short online program developed by London School of Economics and Political Science that focuses on the ethical, social, and political implications of artificial intelligence. The course is designed to help learners understand how AI affects governments, businesses, and society while developing practical skills for addressing ethical challenges related to AI technologies.The program explores major topics such as algorithmic bias, fairness, transparency, privacy, democracy, workplace inequality, and AI governance. Participants learn how AI systems can influence decision-making, hiring processes, public administration, and social structures. The course also discusses the responsibilities of governments and multinational companies in designing and deploying responsible AI systems.The course is structured into three main modules covering AI and the state, AI and business, and AI and society. Through case studies, discussions, and practical activities, learners develop critical thinking skills to evaluate ethical dilemmas and understand global approaches to AI regulation and governance. Overall, the course emphasizes human-centered and responsible AI development while preparing professionals to navigate the growing impact of AI in real-world contexts.

ICEEG 2026University of Western Australia|Perth, Australia|November 16-18, 2026Conference Theme: Harnessing AI and Emerging Technologies for E-Commerce, E-Business, and E-Government Successhttps://www.iceeg.orgThe conference and program committee of ICEEG 2026 would like to invite those working in areas related to E-Commerce, E-Business and E-Government to submit full paper or abstract, which will be presented as either oral or poster at the conference.Welcome to ICEEG 2026!It is with great enthusiasm that we invite you to join us at The 9th International Conference on E-Commerce, E-Business, and E-Government (ICEEG 2026) , which will take place from November 16-18, 2026, in the historic city of Perth, Australia .As we stand at the forefront of a digital revolution, ICEEG 2026 will bring together leading scholars, industry experts, and professionals from around the globe to explore the dynamic intersections of E-Commerce, E-Business, and E-Government. Under the theme, “Harnessing AI and Emerging Technologies for E-Commerce, E-Business, and E-Government Success,” this conference aims to shine a spotlight on how cutting-edge innovations such as artificial intelligence, blockchain, and digital transformation are redefining these sectors and shaping the future of our global economy.Over three days, ICEEG 2026 will provide a vibrant platform for exchanging ideas, showcasing research, and discussing strategies to unlock new possibilities in the digital realm. Whether you are a researcher, policymaker, entrepreneur, or practitioner, your presence and participation will contribute to insightful discussions and collaborations that will drive the future of E-Commerce, E-Business, and E-Government.Conference ProceedingsSubmissions will be peer-reviewed by 2-3 technical committee or reviewers. Accepted and registered papers will be published in the ICEEG 2025 Conference Proceedings, and it will be indexed by Ei compendex and Scopus.Journal PublicationSelected papers from the conference will undergo second round of blind review for potential publication in the Journal of Advances in Information Technology (JAIT).Topics of interest include, but are not limited to:AI-Driven Innovations in E-Commerce and E-BusinessAI and Machine Learning Applications in Online RetailPredictive Analytics and Consumer Behavior ModellingPersonalized Shopping Experiences through AIChatbots, Virtual Assistants, and Customer Service AutomationAI in Supply Chain and Inventory ManagementBlockchain Technology in E-Commerce, E-Business, and E-GovernmentBlockchain for Secure Transactions and PaymentsSmart Contracts in Business OperationsDecentralized Finance (DeFi) and E-CommerceEnhancing Transparency and Trust in Digital Governance with BlockchainBlockchain for Secure Digital Identity and Data ManagementDigital Transformation Strategies for E-Commerce and E-GovernmentThe Role of Emerging Technologies in Public Sector TransformationE-Government Services: Enhancing Efficiency through Digital ToolsDigital Transformation in Small and Medium Enterprises (SMEs)Cloud Computing and SaaS in E-Business OperationsDigital Infrastructure for Seamless Business OperationsCybersecurity and Data Privacy in the Digital EconomyProtecting Consumer Data in E-Commerce PlatformsRegulatory and Ethical Considerations for AI and Data PrivacyAddressing Cybersecurity Challenges in E-Government ServicesCryptographic Methods for Securing Digital TransactionsEnsuring Trust and Safety in the Digital MarketplaceSustainability and Social Responsibility in Digital CommerceGreen Technologies for Sustainable E-CommerceAI for Sustainable Business PracticesEthical Issues in AI-Driven E-Commerce and Business ModelsE-Waste Management in Digital TransformationSocially Responsible E-Government InitiativesThe Future of Digital Payments and Fintech SolutionsAI-Driven Financial Technologies (FinTech) in E-CommerceDigital Wallets and Contactless Payments: Opportunities and ChallengesCross-border Payments and Currency InnovationThe Rise of Cryptocurrencies and Their Impact on E-CommerceFinancial Inclusion through Emerging Payment TechnologiesConsumer Experience and Engagement in the Digital EraLeveraging AI for Enhancing Customer EngagementOmnichannel Retail Strategies and Customer JourneysVirtual Reality (VR) and Augmented Reality (AR) in E-CommerceGamification in E-Business and E-GovernmentCustomer Loyalty Programs Powered by Emerging TechnologiesSmart Cities and the Role of E-GovernmentLeveraging AI and IoT for Smart City GovernancePublic Services Automation and Smart Governance ModelsE-Government Services for Citizens: Access and InclusivityDigital Solutions for Urban Mobility and Public SafetyThe Future of Work in Public Sector DigitalizationCross-Border E-Commerce and Global Digital MarketsEmerging Trends in Global E-CommerceChallenges and Opportunities for Cross-Border E-CommerceInternational Regulations and Standards for Digital CommerceThe Impact of AI on Global Trade and Supply ChainsMarketplaces and Platforms for Global E-Commerce ExpansionEntrepreneurship and Innovation in the Digital AgeStartups and AI-Driven Business ModelsDigital Marketing and E-Commerce EntrepreneurshipVenture Capital and Investment Trends in Emerging TechnologiesBuilding Innovative Business Ecosystems in E-CommerceAI as a Tool for Business Strategy and Innovation Submission MethodsPlease submit your paper via: Online Submission System or conference email directly: iceeg@academic.net.Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference.Abstracts are accepted for oral presentation opportunity, not for publication, for those researches which are not ready for publication, you can also send us an abstract only.Full Paper Template: Full-Paper-Template.docx Abstract Template: Abstract-Template.doc

2026 the 4th International Conference on Intelligent Control and Computing (IC&C 2026)October 9-11, 2026 | Harbin, Chinahttps://www.icicc.orgSubmission Deadline: June 25, 2026Acceptance Notification: July 25, 2026Registration Deadline: August 10, 2026Conference Venue: Harbin Engineering University 2026 the 4th International Conference on Intelligent Control and Computing (IC&C 2026) will take place in Harbin, China, from October 9 to 11, 2026. The goal of this conference is to foster pure and applied researches in recognition of academic and industry, and to encourage interdisciplinary and international collaboration for the participants.The conference would be an ideal platform for keeping up with advances and changes to a consistently morphing field, we sincerely look forward to some exemplary and inspirational project experiences and innovations.Conference ProceedingsSubmissions will be reviewed by the conference technical committees, and accepted papers will be included in Conference Proceedings, and sent to Ei Compendex and Scopus for indexing. The authors of the papers will be invited to participate in the IC&C 2026 to display their research results.The topics of interests for submission include, but are not limited to:· Track 1: Intelligent Systems and ControlTrack Chairs: Assoc. Prof. Wen Xing, Harbin Engineering University, ChinaAssoc. Prof. Xiangli Jiang, Harbin Engineering University, ChinaAutonomous Systems and Self-Adaptive ControlLearning and Adaptive Control SystemsIntelligent Fault Detection, Diagnosis, and PrognosticsIntelligent Control Theory and ApplicationsHybrid Intelligent Systems (Neuro-Fuzzy, Evolutionary Systems)Neural Network-Based Control SystemsFuzzy Logic Control and ApplicationsMechatronic Systems and Optimization AlgorithmsIntelligent Robotics (Manipulators, Mobile Robots, Human-Robot Interaction)Intelligent Vehicle Control and Autonomous DrivingMulti-Agent Systems and Distributed Control· Track 2: Computer Systems and TechnologiesTrack Chairs: Assoc. Prof. Zhongping Zhang, Harbin Engineering University, ChinaAssoc. Prof. Chun Jia, Harbin Engineering University, ChinaMicroprocessor-Based and Embedded Control SystemsMotor Control and Power ElectronicsCloud Computing, Edge Computing, and Distributed SystemsBig Data Analytics and Data-Driven IntelligenceGreen Computing and Energy-Efficient SystemsSignal, Image, and Video ProcessingArtificial Intelligence and Machine Learning AlgorithmsUbiquitous and Pervasive ComputingEmbedded AI and TinyML· Track 3: Communication and NetworksTrack Chair: Assoc. Prof. Shou Feng, Harbin Engineering University, ChinaNetwork Intelligence and AI-Driven Network ControlIP Mobility Protocols and Mobile NetworksCommunications Software, Services, and MiddlewareInternet of Things and Cyber-Physical Systems5G/6G Communication Technologies for Intelligent Control and Computing (e.g., URLLC, Network Slicing)Internet Applications and Network ServicesVirtual Environments, Social Networks, and Metaverse ApplicationsWireless Sensor Networks and Ad-Hoc NetworksSecurity and Privacy for Intelligent Control and Computing Systems· Track 4: Emerging Interdisciplinary TechnologiesTrack Chairs: Assoc. Prof. Boyuan Zheng, Harbin Engineering University, ChinaAssoc. Prof. Chenglong Xu, Harbin Engineering University, ChinaDecision Support Systems and Intelligent AnalyticsRemote Sensing, Geospatial Intelligence, and Environmental MonitoringDigital Twins and Simulation-Based DesignAI for Healthcare, Smart Cities, and SustainabilityBlockchain Technologies and Decentralized IntelligenceGenerative AI for Intelligent SystemsPaper SubmissionFull Paper 论文模板 (.docx)Full Paper 论文模板 (LaTex)Abstract Template 摘要模板Please login in the Electronic Submission System to submit your paper.请登录 在线投稿系统 进行投稿You will receive the submission confirmation email from the conference committees within 2 working days. If you haven't received it, please contact us soon. (Email: icicc_conf@robotics.ac.cn)Publication History IC&C 2025 conference proceedings has been archived in IEEE XploreIC&C 2024 conference proceedings has been archived in IEEE Xplore | Ei-Compendex & ScopusIC&C 2023 conference proceedings has been archived in IEEE Xplore | Ei Compendex & Scopus

Visa and Entry conditionshttps://euraxess.ec.europa.eu/information/coming-europe?utm_source=chatgpt.comRegardless of your nationality or career stage—PhD student, postdoctoral, established, or leading researcher—a wide range of resources and support measures are in place to ensure that your relocation goes as smoothly as possible.EURAXESS offers the support and opportunities you need to advance your career in Europe.Discover the practicalities of coming to Europe, including visa and entry conditions, residence permits, hosting, and EU and national regulations.If you are a researcher from outside the EU considering a move to Europe, it’s important to know that both the European Union and its Member States are working to make the process clearer and easier. Immigration policy in the EU is a shared competence, meaning that both the European Union and its Member States have the authority to legislate and adopt legally binding acts in this area. In recent years, EU Member States have significantly expanded tailored visa and residence initiatives to attract global research talent. These programs are designed to cut red tape, accelerate entry procedures, and offer long-term security for researchers.The EU Immigration Portal is an online resource that provides up-to-date, practical information on both EU-wide and national immigration rules, tailored to different types of professionals, including researchers. It offers detailed, country specific guidance on admission requirements, necessary documents, and application procedures. Available in multiple languages, the portal serves as a comprehensive and user friendly guide for navigating the immigration process across the EU.In addition, for guidance tailored to the specific country you’re moving to, visit the EURAXESS national information page to explore natinoal entry conditions, visa procedures, and support services.EU Immigration Portal EURAXESS Country InformationStudents and Researchers DirectiveThe Directive (EU) 2016/801 addresses the conditions of entry and residence of third-country nationals, for the purposes of research, studies, training, voluntary service, pupil exchange schemes or educational projects and au pairing. A researcher is defined as: a “third-country national holding a doctoral degree or an appropriate higher education qualification which gives access to doctoral programmes, and who is selected by a research organisation for carrying out a research activity for which the above-mentioned qualification is normally required.”The Directive applies to researchers intending to stay in Europe for more than three months. For those coming for less than three months, rules on short-term visas apply. This directive sets clearer, more consistent and transparent rules, such as: Procedural guarantees: The 90-day time limit for Member States' authorities to decide on an application will make the process more straightforward and transparent.Stay after the research is completed: Researchers will be allowed to remain for up to 9 months in their Member State of residence after finalisation of their research to identify job opportunities or set up a business. This will not amount to an automatic right to work: the researcher who finds a job will have to apply for a work and residence permit.Simpler and more flexible mobility rules: will increase the possibility for researchers to move within the EU for their projects. Family members of researchers will also be granted mobility rights.The short-term mobility period should cover stays in second Member States for a maximum of 180 days in any 360-day period. The long-term mobility period should cover stays in one or several second Member States for more than 180 days.Those rules apply to researchers in both public and private organisations. Individual European countries do not have identical rules of procedure, they need to be verified for each country. While most EU member states are participating in Directive (EU) 2016/801, Ireland and Denmark have opted out and are not bound by its provisions.About the DirectiveEU Blue CardAn EU Blue Card gives highly-qualified workers from outside the EU the opportunity to live and work in an EU Member State, provided they hold the necessary higher professional qualifications, or, where appropriate, higher professional skills, and an employment contract or a binding job offer for at least six months with a salary at least equal to, but no higher than 1.6 times, the average gross national annual salary of the country concerned. . The EU Blue Card applies in 25 of the 27 EU Member States. It does not apply in Denmark and IrelandMore information on the key provisions of the new EU Blue Card Directive can be found in the Summary of EU legislation – EU Blue Card(for example eligibility conditions, length of validity, related rights)EU Blue CardWhat is a hosting agreement?The “hosting agreement” is an agreement signed by a public or private research organisation in the Member State and the researchers, through which they both agree to undertake a research project. The research organisation can only sign a hosting agreement with a researcher if there are funds available for the research and they are satisfied with the researcher's qualifications and skills. It must include some information, notably the title or purpose of the research activity and the start and end date of the activity or its estimated duration. Moving between European countriesOnce granted the residence permit or long-stay visa, a researcher may carry out their research not only in the country of their residence permit/long-stay visa, but also in other EU Member States under specific conditions. When a researcher moves to another EU Member State, the procedure to follow varies based on the destination country and the duration of their stay: Short-Term Mobility (Up to 6 Months) Researchers planning to conduct research in another EU Member State for up to 6 months may need to submit specific documents to the national authorities. Once submitted, they can relocate immediately. Long-Term Mobility (More than 6 Months) For stays exceeding 6 months, researchers must follow country-specific procedures. Some Member States require the same process as short-term stays, while others mandate a long-term mobility permit application.Connect with EURAXESS WorldwideWould you like to link up with EURAXESS representatives outside Europe before making the move? EURAXESS Worldwide has regional hubs in Africa, ASEAN, Latin America and the Caribbean, China, India, Japan, Korea, and North America. These hubs offer international researchers tailored information, networking opportunities and practical guidance to support a smooth transition and successful research career in Europe.Explore EURAXESS Worldwide

Directive (EU) 2016/801: Short-term mobility of researchershttps://ind.nl/en/residence-permits/work/directive-eu-2016801-short-term-mobility-of-researchers#what-is-short-term-mobility-You have a residence permit as a researcher in a different EU country under Directive (EU) 2016/801. You are coming for a maximum of 180 days out of a 360-day period to carry out research in the Netherlands. Find out what the requirements are and what the process is.What is short-term mobility?Directive (EU) 2016/801 provides that researchers from outside the European Union (EU), European Economic Area (EEA) or Switzerland can carry out their research in several EU countries. This is called intra-EU-mobility. Researchers choose a first EU Member State where they are going to carry out research. Afterwards the researcher can carry out parts of the research in one or more other EU countries.There are 2 forms of intra-EU mobility for researchers.Short-term mobility: the researcher comes to the Netherlands to carry out research for a maximum of 180 days out of a 360-day period. No residence permit is required for short-term mobility. Your residence permit in the other country is also valid in the Netherlands.Long-term mobility: the researcher will come to carry out research in the Netherlands for more than 180 days. A residence permit is required for long-term mobility. Find out more on the web page Residence permit researcher (Directive (EU) 2016/801).Family members of researchersDo your family members in the other EU country have residence permits to live with you? Then they can come along with you to the Netherlands. Your family members do not need Dutch residence permits either. The residence permit from the other EU country must remain valid during the whole period. You must notify the IND yourself of the arrival of your family members with a notification.Requirementshttps://ind.nl/en/residence-permits/work/directive-eu-2016801-short-term-mobility-of-researchers#requirementsThe following requirements apply to short-term mobility for researchers:You have a valid residence permit for the purpose of research under Directive (EU) 2016/801 in a different EU country, except for Ireland en Denmark.You are coming to the Netherlands for a maximum of 180 days out of a period of 360 days. Your residence permit from the other EU country will remain valid during your stay in the Netherlands.You are going to carry out research at a research institution in the Netherlands. This research institution is recognised by the IND as sponsor. A recognised sponsor is listed in the Public Register Recognised Sponsors.You have a host agreement with the Dutch research institution. The host agreement contains the following information:the title or purpose of the research;a statement that you will try to carry out all of the research;a statement that the research institution will receive you for the purpose of completing the research;the start and end dates of the research, or the estimated duration of the research;information about the research that you are going to carry out in other EU countries, if this information is known;the legal relationship between you and your employer, for example an employment contract; andyour terms and conditions of employment.You will earn sufficient income. Will you not receive a salary from your Dutch employer? Then you must have different income. For example a scholarship, grant or money from a sponsor. Or you must have sufficient money in your bank account for the time you are in the Netherlands.There are no reasons to assume that you want to live in the Netherlands for a purpose other than to carry out research.You are not a danger to the public order or national security. Resident PermitsDo you want to work in the Netherlands or do you want to hire a foreign employee? Then you need a residence permit or a work permit in some cases.Highly skilled migranthttps://ind.nl/en/residence-permits/work/highly-skilled-migrantTo work in the Netherlands as a highly skilled migrant, you need a residence permit. Only an employer recognised by the IND can apply for your permit. Read what the requirements are and how your employer can apply.European Blue Card residence permithttps://ind.nl/en/residence-permits/work/european-blue-card-residence-permitWith a European Blue Card, you can work in the Netherlands as a highly educated migrant. Find out what the requirements are and how your employer can apply for the permit.Residence permit researcher (Directive (EU) 2016/801)https://ind.nl/en/residence-permits/work/residence-permit-researcher-directive-eu-2016801Under Directive (EU) 2016/801 you are allowed to work as a researcher in the Netherlands. Find out what the requirements are and how your employer applies for the permit.

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

The 6th International Conference on Software Engineering and Artificial Intelligence (SEAI)June 19-21, 2026Fuzhou, ChinaPublication & IndexingAfter a careful reviewing process, all accepted and presented papers after proper registration and presentation, will be published into Conference Proceedings by IEEE, included into IEEE Xplore, and submitted for Ei Compendex and Scopus, like last few year. <IEEE CONFERENCE LIST>SEAI 2025丨ISBN: 979-8-3315-1361-0 丨IEEE Xplore丨Ei Compendex丨ScopusCall for PapersGeneral InformationThe conference is soliciting papers in fields of Artificial Intelligence, Software Engineering, and Computer related fields.The purpose of the Conference is to provide a common forum for researchers, scientists, and students from all over the world to present their latest research findings, ideas, developments and applications in the broader areas of Artificial Intelligence, and Software Engineering. Prospective authors are invited to submit research papers in the following areas, but not limited to:Artificial Intelligence & ApplicationsAI AlgorithmsKnowledge-based SystemsArtificial Intelligence tools & ApplicationsMechatronicsAutomatic ControlMultimedia & Cognitive InformaticsBioinformaticsNeural NetworksNatural Language ProcessingParallel ProcessingCAD Design & TestingPattern RecognitionComputer Vision and Speech UnderstandingPervasive computing and ambient intelligenceData Mining and Machine Learning ToolsProgramming LanguagesFuzzy LogicReasoning and EvolutionHeuristic and AI Planning Strategies and ToolsRecent Trends and DevelopmentsComputational Theories of LearningRoboticsHybrid Intelligent SystemsSemantic Web Techniques and TechnologiesInformation RetrievalSoft computing theory and applicationsIntelligent System ArchitecturesSoftware & Hardware ArchitecturesKnowledge RepresentationKnowledge-Based SystemIndustrial applications of AIVisualizationDeep LearningWeb Intelligence Applications & SearchSoftware Engineering Techniques and Production PerspectivesRequirements engineering Software analysis, design and modelingSoftware maintenance and evolutionSoftware engineering tools and environmentsSoftware engineering decision supportSoftware design patternsSoftware product lines Process and workflow managementReflection and metadata approachesProgram understanding and system maintenanceSoftware domain modeling and analysisSoftware economicsMultimedia and hypermedia software engineeringSoftware engineering case study and experience reportsEnterprise software, middleware, and toolsService-centric software engineeringService oriented requirements engineeringService oriented architectures Software Engineering MethodologiesAgent-based software engineeringArtificial intelligence approaches to software engineering Component-based software engineeringEmbedded and ubiquitous software engineeringAspect-based software engineeringEmpirical software engineeringSearch-Based Software engineeringAutomated software design and synthesisAutomated software specificationComputer-supported cooperative workAutomated software specificationAutomated software design and synthesisReverse engineeringSoftware & System Quality of ServiceSoft computingSoftware and system testing methodsQuality assurance process, standards, and systemsSoftware safety systemsSoftware test automation and toolsSoftware dependability, reliability, scalabilitySoftware & System SecuritySoftware and system security and privacyMobile app security and privacyEncryption methods and toolsSecurity service systemsCloud, sensor cloud and mobile cloud securityMobile system integrity, security, and fault tolerance

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

2026 IEEE the 14th International Conference on Smart Energy Grid Engineering (SEGE 2026)https://www.ieee-sege.comIndexing: Scopus, SCIE (Web of Science), Ei Compendex, RePEc,Inspec, CAPlus / SciFinder, and other databases.Conference Venue: Ontario Tech University, Oshawa, Canada2026 IEEE the 14th International Conference on Smart Energy Grid Engineering (SEGE 2026) will be held during August 19-21, 2026 at Ontario Tech University, Oshawa, Canada. This premier conference will feature a distinguished lineup of speakers and high-quality research papers, addressing topics including energy generation, grid transmission and distribution infrastructures, energy storage systems, electrification strategies, ICT integration, and energy system cybersecurity.Topics of interest include but not limited to the following:Quantum EnergyCarbon Capturing and Storage TechnologiesResilient / adaptive grid infrastructures design, planning, operation and managementThermal networks, storage, import / export, control, optimization, and applicationsHydrogen and natural gas networks, production and supply chain, integrationGas-power generation systems design and applicationsPower Electronic converters and drivesEnergy storage technologies and systemsDemand monitoring and energy Efficient SystemsFACTS, active power filters, power quality monitoring and performance enhancementSensors, communications and networkGrid modeling, simulation, and data managementEnergy efficiency, conservation, and savingsPlug-in Hybrid Electric Vehicle (PHEV) systems, CNG Vehicles, clean EnergyGrid protection, reliability, energy / power quality and maintenanceSmart metering, measurement, instrumentation, and controlInformation, security and privacyRenewable energy, wind, solar, fuel cells and distributed generation within microgridsComputational intelligence and optimizationSmart homes, cities, communitiesLife cycle assessment, pricing, policies, and energy planningEffects of climate change on health and the societySmart energy grid educationApplication of artificial Intelligence in power systemEffects of power engineering on the climate and the society.

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 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 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

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

SN Computer SciencePublication type: Journals (Q2)ISSN: 26618907, 2662995XH-Index: 49Publication Fee: £2290.00 GBP / $3190.00 USD / €2590.00 EUR.Link: https://www.scimagojr.com/journalsearch.php?q=21101083109&tip=sid&clean=0SPRINGER NATURE Link: https://link.springer.com/journal/42979?IFASN Computer Science is a broad-based, hybrid, peer reviewed journal that publishes original research in all the disciplines of computer science including various inter-disciplinary aspects. The journal aims to be a global forum of, for, and by the community and offers:Rapid peer review under the expert guidance of a global Editorial BoardNo color or page charges and free submissionHigh visibilityOpportunities to Societies/Conferences/Institutes/Laboratories/Corporates to ‘partner’ with the Journal and enjoy the benefit of planning and publishing issues in hot areas of research, without being under the pressure of publishing a full-fledge journalSN Computer Science welcomes submissions from a wide range of topics including, but not limited to:Artificial IntelligenceRoboticsMachine learningComputer VisionPattern RecognitionImage ProcessingComputer GraphicsHuman-Computer InterfaceDocument and Handwriting ProcessingVideo TechnologiesBiometrics and Computer ForensicsSoft ComputingBrain ComputingQuantum ComputingInformation RetrievalInternet Computing and Data MiningTheoretical Computer Science: Logic, Algorithms, and ComplexityAutomated Proofs and Formal VerificationComputational GeometryInformation TheorySpeech and Signal ProcessingAlgorithms and Data StructuresProgramming LanguagesSoftware EngineeringComputer ArchitectureComputer and Communication NetworksComputer and Network PerformanceModeling and SimulationEnergy Consumption and Harvesting Computers & NetworksGreen ICTComputer and Network Security/PrivacyCryptographyHigh Performance ComputingParallel Computing and ArchitectureDistributed and Cloud ComputingSocial NetworksDatabase Systems and TheoryComputers and Networks in Supply Chains and ManufacturingComputers and Networks for Health SystemsComputational Biology and BioinformaticsCyber-Physical SystemsInternet of Things (IoT)Mathematical Programming and Combinatorial OptimizationEconomics and ComputationSN Computer Science publishes papers in the following categories: Original Research, as well as relevant hardware, and/or software architectures, Survey and Review Articles. All papers are evaluated on the basis of scientific content. Submissions are first screened for research and publication ethics prior to peer review. The journal reviews each submission from a sound science perspective.SN Computer Science is an online-only journal and its print ISSN (2662-995X) is ceased.

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