News & Activities

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

International Journal of Information Technology & Decision MakingISSN (print): 0219-6220 | ISSN (online): 1793-6845 International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era. The journal is peer-reviewed and publishes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics.Call for PapersSpecial Issue onExploring Data Science in IT and Quantitative ManagementSupply Chain Management, Sustainability, and Productivity Efficiency EvaluationsDecision Making in Risk AnalysisOperations Research and Optimization Submission Guidelines https://www.worldscientific.com/page/ijitdm/submission-guidelinesAbstracted & Indexed in(https://www.worldscientific.com/page/ijitdm/abstracted-indexed)ABDC Journal Quality List by Australian Business Deans CouncilAcademic OneFileBaiduBusiness Source Index (Ebsco)CabellCNKI ScholarCnpLINKerCompendexCompuMath Citation Index (CMCI)CrossRefDBLP Computer Science BibliographyDimensionsEbsco Discovery ServiceEbsco Electronic Journal Service (EJS)Ebsco Science & Technology Collection, Computer Science IndexExLibris Primo CentralGoogle ScholarINSPECISI Alerting ServicesJ-GateJournal Citation Reports/Science EditionNaverNSTL - National Science and Technology LibrariesOCLC WorldCat®ProQuest CentralProQuest Computer & Information Systems AbstractsProQuest Technology Collection (Advanced Technologies Database with Aerospace)RePECScience Citation Index Expanded (SCIE)ScopusThe Summon® Service