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

International Conference on Sustainable Environment and Agriculture (ICSEA 2026)https://www.icsea.org/index.html2026 11th International Conference on Sustainable Environment and Agriculture (ICSEA 2026) will be held in Tokyo, Japan during August 1-3, 2026. It is one of the leading international conferences for presenting novel and fundamental advances in the fields of Sustainable Environment and Agriculture. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Sustainable Environment and Agriculture related techniques.Important DatesSubmission Deadline: Before April 15, 2026Notification Date:Before May 15, 2026Registration Deadline:Before June 10, 2026Conference Dates: August 1-3, 2026All full paper submissions will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. After acceptation, conference presented and registered full papers will be included in Springer Book Series Environmental Science and Engineering (ISSN: 1863-5520), which will be submitted to EI Compendex, Scopus, SCImago and other major databases for indexing. Call for papers2026 11th International Conference on Sustainable Environment and Agriculture (ICSEA 2026) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Sustainable Environment and Agriculture. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Air Pollution and Control Emission sourcesAtmospheric modeling and numerical predictionInteraction between pollutantsPollution control technologiesAir emission tradingWastewater and Sludge TreatmentNutrients removalSuspended and fixed film biological processesAnaerobic treatmentSludge treatment and reuseIndustrial wastewater treatmentAdvances in biological, physical and chemical processesStorm-water managementSolid Waste Treatment and DisposalWaste minimization, recycling and reuseTechnical aspects of treatment and disposal methods (landfilling, thermal treatment etc)Leachate treatmentLegal, economic and managerial aspects of solid waste managementManagement of hazardous solid wasteGlobal Environmental Change and Ecosystems ManagementGlobal warmingOzone layer depletionCarbon capture and storageBiofuelsIntegrated ecosystems managementSatellite and Geographic Information System applications in the environment Environmental Restoration and Ecological EngineeringHabitat reconstructionBiodiversity conservationLandscape degradation and restorationGround water remediationSoil decontaminationEnvironmental monitoringEco-technologyEnvironmental toxicologyEnvironmental Biotechnology Water Treatment and ReclamationAdvanced treatment of water and secondary effluents (membranes, adsorption, ion exchange, oxidation etc)Disinfection and disinfection by- productsManagement of water treatment residualsAesthetic quality of drinking water (taste, odors)Effect of distribution systems on potable water qualityReuse of reclaimed waters Environment and HealthHealth related organismsHazardous substances and detection techniquesBiodegradation of hazardous substancesToxicity assessment and epidemiological studiesQuality guidelines, environmental regulationIndoor air pollution Environmental SustainabilityResource managementLife cycle analysisRenewable sourcesEnergy savingClean technologiesSustainable citiesCrop FarmingFood cropsEconomic cropsFeed cropsHorticultural cropsCrop breedingPlanting techniquesIrrigation and drainage systemsGreenhouse structure and engineeringCrop harvesting and post-harvest processing, storage and technologyPhytopathologyAgricultural entomologyPesticide scienceBioenergy Animal HusbandryFood of animal originProcessing of animal productsLivestock and poultry house construction and facilities engineeringBiological feedAnimal production technologyVeterinary epidemic prevention systemAnimal health and welfareFarm managementAquacultureFood traceability and safety Agricultural MachineryMechanical designMechanical equipmentAdvanced machine systemsBio-machine systemsAgricultural Development and ManagementAgricultural waste managementAgricultural environmentRural developmentAgricultural economyEnvironmental constraints to animal agriculturePrecision agriculture

Welcome to ICWPT 2026https://www.icwpt.netImportant DatesSubmission Deadline: April 5, 2026Notification Date: April 25, 2026Registration Deadline: May 10, 2026Camera Ready Paper Submission: May 10, 2026Conference Date: July 25-27, 20262026 11th International Conference on Water Pollution and Treatment (ICWPT 2026) to be held on July 25-27, 2026 in Tokyo, Japan. ICWPT 2026 will provide a forum for researchers and practitioners in the field to share ideas, designs, and experiments. Participation from academia, industry and government is welcome. ICWPT 2026 invites submissions of technical papers (at least 5 pages) for oral and poster presentations.Full PaperInternational Journal of Environmental Science and Development (IJESD, ISSN:2010-0264) - All submitted papers will be reviewed by both conference technical committees and IJESD editorial board, and accepted papers will be published into regular issues of IJESD. The journal is now indexed by Scopus, Chemical Abstracts Services (CAS), CABI, Ulrich Periodicals Directory, Electronic Journals Library, Crossref, ProQuest.Conference Flyer2026 11th International Conference on Water Pollution and Treatment (ICWPT 2026) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Water Pollution and Treatment. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Water Resources Planning and ManagementWater pollutionWater resources integrated managementWater resources sustainable developmentWater resources and Environmental Management in Mega deltasGIS and remote sensing applicationsImpacts of global and regional climate changeInstrumentation and measurementWatershed assessment and monitoringWater quality and protectionTrans-boundary Water Conflict and cooperation IssuesArtificial recharge and active management of aquifersGroundwater contamination and protectionIntegrated coastal aquifer managementHydraulics and Water InfrastructureWater distribution systems analysisWater Demand/ Forecasting Water management, control and regulationErosion, scour and sediment transportMaintenance and rehabilitation of hydraulic structuresInformation Technology (IT) applications in Water InfrastructureHydraulic monitoring, modeling and simulationWater Treatment TechnologyWastewater reuseDesalinationIndustrial water treatmentSanitary drainage treatmentComputer applications in water treatmentPurification plants and networksEnvironmental impact assessmentEnergy use and efficiencyAgricultural issuesIrrigation and drainage technologiesAgricultural water pollutionCrop water consumptionDesertificationVirtual water useEnergy consumption

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

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

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.

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

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

PhD Research Fellowship in AI, Politics and Societyhttps://www.kuleuven.be/personeel/jobsite/jobs/60607072?hl=enhttps://euraxess.ec.europa.eu/jobs/400168Application Deadline: 15 Mar 2026 - 23:59 (UTC)Offer DescriptionLINES & CRPD aim to launch a new research line on the broad theme of “AI, Politics and Society”. Artificial intelligence is rapidly transforming how decisions are made in government, business, and everyday life. This development offers significant opportunities, but it also introduces new political and societal challenges and risks. It is therefore essential to better understand how AI is—or may come to be—(re)shaping power, governance, and social relations in the future, and how societies can guide these technologies in democratic, fair, and accountable ways. As part of this new research line, we are seeking a highly motivated and outstanding doctoral candidate to join our research team. We welcome applicants who are eager to connect political and social analysis with the growing importance and impact of AI on (international) politics and society.You also contribute to collective responsibilities of the research group (such as educational services, team meetings, research proposals, supervision of bachelor and master students, invigilating exams, student recruitment activities, etc.).The applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.As part of the application process, applicants must submit a short research statement (maximum two pages) outlining their proposed research ideas. In this document, applicants should specify the context in which they wish to examine the growing impact, significance, and societal relevance of AI; explain why they consider this an important area for scholarly inquiry; and describe how they intend to investigate it (e.g., core research questions and methods).We welcome a broad range of proposals. Possible topics include, but are not limited to: how AI may (re)shape international politics; how states use AI strategies and regulation to gain geopolitical influence; the determinants of public acceptance of AI in governance and society; the use of AI in policymaking and in policy-relevant research; the distributional consequences of AI at local, national, or international levels; and how AI may affect citizens’ trust in government institutions.Your electronic application must include: Cover letterCVResearch statement (max. 2 pages)Copy of your Master’s thesisFull degree transcripts (both Bachelor’s and Master’s degrees)Short-listed candidates will be invited for an interview.You will receive a monthly scholarship in line with KU Leuven standards for PhD scholarships. You will initially be offered a one-year contract, which can be extended up to a total of four years.The scholarship provides access to social benefits, insurance coverage, and training opportunities.You will join a dynamic, international research team and receive support in developing your academic and professional career.Support is provided for conference participation, methodological training, and knowledge valorisation initiatives.For more information please contact CRPD Director, Prof. dr. Arnim Langer, mail: arnim.langer@kuleuven.beEligibility criteriaThe applicant should have completed a Master’s degree in political science, sociology, or another closely related discipline. An interdisciplinary background combining a social science degree with computer science or a closely related field is a strong assetThe applicant should have an excellent academic track record. Applicants should have obtained their Master’s degree with first-class or upper second-class honours.Excellent analytical skills and a willingness to engage with both quantitative and qualitative research methods.Demonstrated familiarity with, and strong interest in, the political and societal implications of AI and machine learning.Proficiency in English sufficient to discuss research with colleagues and report findings clearly in writing.Motivation to work in an interdisciplinary team committed to developing solutions collaboratively.

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

26th International Conference on Computational Science29 June - 1 July 2026 • DESY • Hamburg • GermanyLink: https://www.iccs-meeting.org/iccs2026/The International Conference on Computational Science is an annual conference that brings together researchers and scientists from mathematics and computer science as basic computing disciplines, as well as from other various application areas, who are pioneering computational methods in sciences such as physics, chemistry, life sciences, and engineering, as well as in arts and humanitarian fields, to discuss problems and solutions in the area, identify new issues, and shape future directions for research.ICCS 2026 in Hamburg, Germany will be the twenty-sixth edition in this series of highly successful conferences.Authors are invited to submit manuscripts reporting original, unpublished research and recent developments in Computational Sciences. All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers.ICCS 2026 invites original contributions on all topics related to Computational Science, including, but not limited to:Scientific ComputingProblem Solving EnvironmentsAdvanced Numerical AlgorithmsMixed-precision Modelling AlgorithmsNew Algorithmic Approaches to Computational Kernels and ApplicationsWeb- and Grid-based Simulation and ComputingParallel and Distributed ComputingAdvanced Computing Architectures and New Programming ModelsExtreme-Scale Data Management and I/O in Computational Science ApplicationsComplex Systems: Modeling and SimulationComplex Networks Models and High Performance simulationsSystem Dynamics ModelsArtificial Intelligence in Scientific ComputingModelling Approaches using Unconventional ComputingMassive Agent Based modelsUncertainty QuantificationApproaches for Automated Simulation DevelopmentHybrid Computational MethodsApplications of Computation as a Scientific ParadigmVisualization and Virtual Reality as Applied to Computational ScienceComputational PhysicsLarge Scale Scientific InstrumentsQuantum ComputingMedical and Biomedical Computational ScienceComputational HumanitiesComputational SociologyComputational Models of Cognition and BehaviorStrategic Behavior Modeling and Market DesignEducation in Computational ScienceAs the conference theme this year is “At the Forefront of Science through Computation and Data”, papers highlighting the role of Computational Science in assisting multidisciplinary research will be particularly welcome.Important DatesWorkshop proposals: 9 January 2026Paper submission: 23 January 2026Notification to authors: 23 March 2026Camera-ready papers: 10 April 2026Author registration: 23 March – 10 April 2026Non-author registration (in-person only): 23 March – 1 June 2026Conference sessions: 29 June – 1 July 2026

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.

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

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

The 6th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON2025) Call for Papers: TIMES-iCON2025 – The 6th International Conference on Technology Innovation Management and Engineering ScienceThe organizing committee is pleased to announce that the 6th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON2025) will be held in Bangkok, Thailand, during December 10–12, 2025.TIMES-iCON2025 will be a premier international platform for researchers, scholars, and practitioners to present and discuss the latest innovations, trends, challenges, and solutions in the fields of management, innovation technology, and information technology. The conference will cover a wide range of topics, including:Digital Innovation, Disruption, and Emerging Technologies (AI, IoT, Blockchain, Cloud, Quantum Computing, etc.)Information Technology Management and CybersecurityHealthcare IT ManagementScience and EngineeringDigital Economy and Business Model InnovationSmart City and Smart LogisticsDigital Education and Knowledge ManagementStrategic and Project Management, Change Management, EntrepreneurshipAll accepted papers are expected to be published in IEEE Xplore and indexed by EI (Engineering Index). Selected outstanding papers will be invited for extension and publication in the Journal of Mobile Multimedia (Q2_SJR 2024), indexed in Scopus.📍 Venue: Bangkok, ThailandBangkok is a vibrant capital city and one of the most visited destinations in the world. It is a gateway to other cities in Thailand and is famous for its unique blend of ancient culture and modern lifestyle. Notable attractions include the Grand Palace, Wat Phra Kaew, Chao Phraya River, Khao San Road, Yaowarat (Chinatown), Chatuchak Market, and Train Night Market Ratchada.We warmly invite all researchers and professionals to join this exciting conference and contribute to a global exchange of knowledge and innovation.For more information and updates, please visit the official conference website: [https://timesicon2025.atdi.or.th]

PhD Call for Applications SummaryAcademic Year 2025/2026 – 41st CycleDeadline: 6 June 2025Research Field: Professions and applied sciencesRead more at https://euraxess.ec.europa.eu/jobs/funding/phd-2025/26-data-scienceApplicationThe Call for Applications for the 2025/2026 PhD Programs is officially open. Applicants, regardless of their nationality, age and gender are invited to submit their applications. Applicants can find all essential information in the relevant paragraphs of this guide.Further information along with possible modifications to, requirements, submission procedures, available positions and/or scholarships, will be given, before the deadline, through the pages:• https://dottorati.uniroma2.it/corsi-di-dottorato_p10297.aspx• https://dottorati.uniroma2.it/corsi-di-dottorato_p10299.aspx AboutOutlineThe availability of huge volumes of data, basically characterized by the increasingly extensive and pervasive use of digital technologies, leads the ongoing revolution in many areas of social, economic and industrial reality, posing new challenges to the scientific and technological research in Computer Science, Artificial Intelligence and in several other disciplines, from Physics to Economics, from Medicine to Human Sciences. In this context, the accessibility and processing of large amounts of data, both in centralized and distributed systems, their usage in the design and implementation of complex decision-making models, favors the study and development of autonomous systems in different fields (from mission-critical applications to the studies of natural and social phenomena, the prediction of economical dynamics as well as the diagnostics and planning in medicine or in industrial robotics). The PhD in Data Science is aimed, in its markedly interdisciplinary nature, to train, at the highest level, experts able to conduct research to understand and master the mathematical, statistical and computer science methodologies of data analysis and processing as well as the underlying technologies supporting applications in a wide variety of of scientific, industrial, economic, medical and social contexts. The reasons for a new PhD program in Data Science are many and significant. First of all, the offer in Central Italy of a doctoral training on these topics is still quite limited, but at the same time it is confronted with an increasing demand for experts in Data Science. This training should be understood with a characterization focused on mathematical-computer science skills, then a strong scientific-technological vocation, properly integrated on established statistical, economic, social and linguistic principles, thus able to give answers to the dynamics of this area of expertise that is very accelerated and strongly interdisciplinary and culturally heterogeneous. The School of Doctorate represents the indispensable ground for a wide range of students of Computer Science, Computer Engineering, Economics, Physics, Mathematics and not only, at our University of Tor Vergata. Today such students apply and succeed (according to various data sources) at other Schools. These students are attracted by initiatives in Data Science because in them is clear and dominant the role played by the computational knowledge, the strong scientific character of the educational objectives and the diversified potential applications: from Physics to Economics up to Social Sciences. It is interesting to note that many of the courses mentioned here, for example, the Master Degree Courses in Computer Science at the Department of Business Engineering, which have a large number of students, unlike other courses are not decreasing in number of enrolled students. This phenomenon is both cause and effect of the centrality that the themes of culture and digital transformation play in the industrial and social spheres of our country.See PHD IN DATA SCIENCE | TOR VERGATA

Engage in knowledge exchange with European and global partners Date: Friday, 25 April 2025 Time: 2.00pm to 3.30pm (JKK/BKK) Please Register hereFor more information please contact: E-READI, simon.grimley@gmail.com / rentzowvasu@gmail.com Marie Sklodowska-Curie Staff Exchanges (MSCA SE) provide funding for international, inter-sectoral and interdisciplinary mobility of R&I staff, leading to knowledge transfer between participating organisations. The aim is to develop sustainable collaborative projects between different organisations from the academic and non-academic sectors, based in Europe and the world. Exchanged staff benefit from new knowledge, skills and career development perspectives, while participating organisations increase their research and innovation capacities. Mobility through funded secondments The grant funds the mobility of seconded staff members from one month to one year. Staff involved should return to their sending organisations after the secondment, to pass on their knowledge. Open to ASEAN research entities Staff Exchanges are open to international consortia of universities, research institutions, businesses, SMEs and other non-academic organisations. Legal entities in any of the ten ASEAN member countries – universities, research centres, companies, NGOs etc. – are eligible to join a MSCA Staff Exchange consortium. Learn more about this opportunity now The next call for application is due to open on 27 March 2025 with a deadline of 8 October 2025. Join this 90-minute information session to find out how you can participate.

Energy Informaticshttps://www.scimagojr.com/journalsearch.php?q=21101048366&tip=sid&clean=0Indexing servicesThe full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by SpringerOpen on SpringerLink. We are working closely with Web of Science (Clarivate Analytics) to ensure that articles published in Energy Informatics will be available in their databases when appropriate. The journal is currently indexed in the following databases:SCOPUSEi CompendexDOAJInstitute of Scientific and Technical Information of ChinaNaverProQuestOCLC WorldCat Discovery ServiceEBSCOGoogle Scholar Article processing charges (APC)Authors who publish open access in Energy Informatics are required to pay an article processing charge (APC). The APC price will be determined from the date on which the article is accepted for publication.The current APC, subject to VAT or local taxes where applicable, is: £940.00/$1490.00/€1190.00Visit our open access support portal and our Journal Pricing FAQs for further information. Aims and scopeThis journal aims to provide a unique platform for researchers and practitioners of energy informatics in various scientific, technological, engineering and social fields to disseminate original research on the application of digital technology and information management theory and practice to facilitate the global transition towards sustainable and resilient energy systems.The journal publishes essential, peer-reviewed, interdisciplinary research addressing scientific, engineering and business topics related to energy, including but not limited to:Innovation in data-driven energy services and business modelsBig Data-driven smart Energy Management SystemsManagement of data and information flow in the Digital Energy System 4.0Data analytics for energy-cost efficient system operationPrivacy issues in energy data managementDigitalization of energy production, delivery and consumption, including policy and strategyDigital technologies for enabling energy-aware user behaviorContextual computing for supporting human and energy system interactionsEnergy-efficient Cloud Computing and data centersCyber security issues for safe and reliable Smart grid operationSocial media’s role in the transition towards sustainable energyApplication of Artificial Intelligence and Agent-based technology in smart energy systemsModel-based and data-driven energy forecasting, including energy production and useManagement of public and private procurement of digital energy technologySocioeconomic opportunities and barriers for adoption of digital energy technologiesSociotechnical aspects related to design and implementation of smart energy systemsInnovation management in smart energy business eco-systemsDigital entrepreneurship in emerging energy marketsSmart grid communication architectures and protocols for improving grid resiliency, including graceful degradation and self-healingDemand-side management, including demand response, dynamic pricing and incentive designMicrogrid and distributed generation management and controlMonitoring and control of Smart Buildings, including Smart Grid interoperability

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