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The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026)23-25 April , 2026, Krabi, ThailandLink: https://ieai.net/index.htmlSubmission Deadline: December 30, 2025Acceptance Notification: February 2, 2026Registration Deadline: February 28, 2026Conference Dates: April 23-25, 2026The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026) will be held in Krabi, Thailand, 23-25 April , 2026. It is a premier forum dedicated to the convergence of industrial engineering and artificial intelligence (AI). As industries worldwide rapidly adopt AI to enhance efficiency, productivity, and innovation, this conference aims to explore the latest advancements, research, and applications at this intersection.Key topics of interest include smart manufacturing, robotics, machine learning, predictive maintenance, digital twins, and the integration of AI into industrial processes. As we stand on the brink of the Fourth Industrial Revolution, IEAI 2026 will serve as a critical venue for discussing how AI can drive innovation and sustainability in industrial systems.Whether you are an academic researcher, a practitioner in the field, or an industry leader, IEAI 2026 will offer valuable insights and opportunities to engage with the cutting-edge developments that are shaping the future of industrial engineering and artificial intelligence.IEAI PublicationThe submitted papers will be peer reviewed by Technical Committee. Accepted papers will be published in the International Conference Proceedings. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conferenceCall for Papers1. Applications of AI in Industrial EngineeringIntelligent Manufacturing SystemsAI-Driven Process OptimizationSmart Factories and Industry 4.0AI for Predictive Maintenance in Industrial SystemsRobotics and Automation in ManufacturingAI in Supply Chain and Logistics OptimizationData-Driven Decision Making in Industrial Environments2. Industrial Optimization and AIAI for Industrial Scheduling and PlanningMulti-Objective Optimization using Machine LearningAI-Enhanced Process Control SystemsEnergy Efficiency Optimization in Manufacturing using AIAI-Enabled Simulation and Modeling for Industrial Systems3. AI for Quality Control and Safety in IndustryMachine Learning in Industrial Quality ControlAI for Predicting Failures and Defects in Production LinesSafety Monitoring and Hazard Prevention in Industrial 4. Artificial Intelligence in Industrial Supply ChainsAI and Blockchain Integration for Industrial Supply ChainsSupply Chain Management with Deep Learning TechniquesAI in Logistics and Transportation NetworksData Analytics for Improving Inventory Management in IndustryAI for Risk Management and Resilience in Supply Chains5. Smart Manufacturing and IoTIoT and AI Integration for Real-Time Industrial MonitoringAI in Predictive Maintenance using IoT SensorsDigital Twin Technology for Industrial ApplicationsAI-Driven Decision Support Systems in Industrial Operations6. Industrial Robotics and Autonomous SystemsAI and Machine Learning in Industrial RoboticsAutonomous Mobile Robots in ManufacturingHuman-Robot Collaboration in Industrial EnvironmentsAI for Vision-Based Robotic Systems in Production Lines7. AI in Industrial Process AutomationDeep Learning for Process Automation in IndustryIntelligent Automation Systems in Industrial EnvironmentsAI-Driven Adaptive Control Systems for Industrial ProcessesEdge AI for Real-Time Process Control and Decision Making8. AI-Enabled Sustainability in Industrial SystemsAI for Sustainable Manufacturing PracticesMachine Learning for Energy Consumption OptimizationSmart Waste Management and Recycling Systems using AIAI Solutions for Reducing Carbon Footprint in Industrial Operations9. AI for Data-Driven Industrial Decision MakingPredictive Analytics for Industrial Process ImprovementAI in Industrial Big Data AnalyticsDecision Support Systems using AI in Industrial OperationsMachine Learning for Process Optimization in Real-Time Manufacturing10. AI in Industrial Human-Machine InteractionHuman-Centered AI Design for Industrial ApplicationsAI for Improving Human Performance in Industrial SystemsCognitive Computing and Human Factors in Industrial AIAI and Virtual Reality for Industrial Training and Simulation11. AI and Industrial CybersecurityAI for Threat Detection and Prevention in Industrial NetworksIndustrial Cybersecurity with Machine LearningAI-Driven Risk Management for Industrial IoTAutonomous Systems for Securing Critical Infrastructure in Industry12. AI in Smart Energy and Industrial SystemsAI for Smart Grid and Industrial Energy ManagementAI in Energy Optimization for Industrial FacilitiesMachine Learning for Predicting Energy Demand in Industrial SystemsAI-Driven Energy Efficiency in Industrial Operations

Chief Data and AI Officer Programmehttps://cmu.to/OG1O6 Join usProgramme OverviewNUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.Learning OutcomesEvaluate strategic implications and innovative value generation through proficient data managementAnalyse strategies for capitalising on data monetisationExplore innovation and emerging technologies in the domainExamine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and complianceEmpower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change managementWho is this programme for?Become a data strategist to drive tangible business valueSeasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth. Programme ModulesPillar 1: Data Foundations for Enterprise Value CreationPillar 2: Strategic Levers for Business GrowthPillar 3: Intelligent Technologies and Scalable AIPillar 4: Risk, Resilience and Responsible GovernancePillar 5: Transformational Leadership in the Age of AI

ISPF Grants for International Research Collaborations 2025 - Thailand-UK Partnershiphttps://nriis.go.th/www/NewsEventDetail.aspx?nid=12161 The National Research Office of Thailand in collaboration with the British Council (BC) has agreed to open applications for the ISPF Grants for International Research Collaborations for Fiscal Year 2025 under the International Science Partnership Fund (ISPF) to collaborate with the United Kingdom in generating research outputs and outcomes that can be utilized to mitigate or solve critical and challenging global problems.Research Topic Areas Open for Applications: Research and innovation in "Resilient Planet" focusing on "Urban Climate Resilience" with emphasis on addressing problems arising from air pollution and PM2.5 in urban areas.Funding Characteristics and Budget Support:Joint project between researchers from two countries: Thailand and the United KingdomTwo-stage proposal submission process (2-stage proposal)Expression of Interest Stage: Thai or UK Project Leaders submit Expression of Interest (EOI) through https://grants.britishcouncil.org/Full-proposal Stage: Thai and UK Project Leaders jointly prepare a complete research proposal in English according to the specified standard format and submit the proposal to https://grants.britishcouncil.org/. Only researchers who submitted EOI by June 30, 2025, and received confirmation from the British Council can submit the complete proposal.Thai Project Leaders prepare proposals in Thai according to the format specified by NRO and submit to www.nriis.go.th along with the attached complete project proposal (in English) from the British Council system.NRO will consider and approve research grants for Thai researchers not exceeding £50,000 per year or approximately 2,250,000 THB per year, with a research duration not exceeding 2 years (24 months) throughout the project. NRO will consider supporting the research budget annually, taking into account the success of the previous funded year before providing support for the following year.Researchers can submit EOI through https://grants.britishcouncil.org/ from now until June 30, 2025, at 6:00 PM Thailand time.Applications for complete proposals are accepted through the NRIIS system and British Council Applicant Portalfrom July 4 – August 4, 2025, at 6:00 PM Thailand time.Notes:Only researchers who submit EOI and receive confirmation from the British Council can submit complete proposals.Thai researchers' home institutions must endorse the research proposals in the NRIIS system by August 11, 2025, at 4:30 PM.For additional details: https://opportunities-insight.britishcouncil.org/short-articles/opportunities/ispf-research-collaboration-grants-2025Download Related Files:National Research Office Announcement on Call for Project Proposals for Fiscal Year 2025.pdfISPF Research Collaborations 2025 Grant Applicant Guidelines_0.pdf