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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

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

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

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 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

Center for Sustainable Logistics and Supply Chain Management - LogSysResource: Lab Locationhttps://www.facebook.com/LogSys.PSU Assoc. Prof. Dr. Janya Chanchaichujit Delivers Special Lecture at the Supply Chain Innovation Summit (SCIS 2025), Organized by the Innovation Supply Chain Education Alliance, Indonesia Recently, Assoc. Prof. Dr. Janya Chanchaichujit was honored to deliver a Special Lecture at the Supply Chain Innovation Summit (SCIS) 2025, organized online by the Innovation Supply Chain Education Alliance, Indonesia. The event attracted over 200 participants, including students and professionals from various industries across Indonesia.Under the topic “Designing for Sustainability: Transforming Supply Chains Through Digital and Energy Innovation,” Dr. Janya presented five key perspectives essential for transforming supply chains towards sustainability, in parallel with the adoption of digital technologies and clean energy innovations. These five points include:1. The evolution of supply chain management trends and strategies2. Supply chain emissions3. An integrated approach to sustainable supply chain transformation4. Key challenges of sustainable supply chain transition5. Procurement for sustainable supply chainsThis lecture offered new insights and inspired participants to design logistics and supply chain systems that effectively address both business objectives and environmental concerns.The recorded session is available at: https://www.youtube.com/watch?v=XpvgmFd4BbE== 𝐖𝐞 𝐚𝐢𝐦 𝐭𝐨 𝐭𝐮𝐫𝐧𝐢𝐧𝐠 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐢𝐧𝐭𝐨 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ==

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]

EPJ Quantum Technology is calling for submissions to our Collection on Prospects for Space Quantum ResearchSubmission Deadline: 28 February 2025Read more at https://www.springeropen.com/collections/PSQR Submission GuidelinesThis Collection welcomes submission of research articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Prospects for Space Quantum Research" under the “Details” tab during the submission stage.Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.About the CollectionQuantum technologies are gaining importance every day. Space exploration has been on the forefront of development of quantum technologies and investigation of quantum mechanical phenomena. It is thus evident, that space, with its demands on size, mass, and power, can be a major technology driver and accelerator for innovations in quantum technology. In this topical Collection, we want to summarize the uses of and advancement in quantum technologies:In Space - Quantum technologies in space can be deployed to investigate a number of fundamental questions not possible in terrestrial environments, especially: • Quantum Mechanical Phenomena: • Decoherence Experiments • Surface Interactions • 3D atomic systems • Et cetera • Fundamental Physics: • Weak Equivalence Principle Tests • Local Lorentz Invariance Tests • Local Position Invariance Tests • Search for new physicsFor Space - The exploration of space can benefit from the possibilities in quantum technologies. Quantum technologies can be deployed for space, especially in: • Navigation without GNSS • Deep Space Timing, Position and Navigation (PNT) • Inertial Sensing • Navigation along and Generation of Planetary Maps • Planetary and Lunar Research • Space Weather Monitoring • Gravitational Redshift • Gravitational Wave DetectionFrom Space - Our civilization has come to rely on global services that can be improved by or include already quantum technologies, such as: • Global Navigation Satellite System (GNSS) • Earth Observation • Gravimetry / Gravity Gradiometry • Quantum RADAR • Quantum LIDAR • Altimetry • Quantum Communication NetworksThis topical issue welcomes publications in all these areas with a specific focus given to the current strategic considerations at NASA, through the National Academies' Biological and Physics Sciences Decadal Survey report, and at ESA.

Turn your research dreams into global achievementsDeadline: March 31st, 2025Submit your application at: pmu.b@nxpo.or.thThis is your chance to collaborate with top universities and institutions in China to create innovations that will change the world!Benefits:Funding support for up to THB 780,000Conduct research in cutting-edge fields i.e. AI, Electric Vehicles (EV), Quantum Technology, Net Zero, etc.Build international research networksElevate your research profile to global standardsEligibility Criteria:Researcher from Thailand, aged under 45 yearsFull-time researcher or Ph.D. graduateStrong expertise in research and proficient in English communicationOpen the door to global success!Be part of the “China-Thai Talent and Research Exchange Fellowship 2025” and shape the future of research together!Learn more and apply now: https://www.pmu-hr.or.th/portfolio/china-thai-talent-2568/

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

Call for PapersVenue: SingaporeImportant DatesSubmission Deadline: January 20, 2025Notification Deadline: February 10, 2025Registration Deadline: February 20, 2025Link: https://www.icgea.org/index.htmlSubmitted papers will be reviewed by Technical Program Committee and sub-reviewers. All accepted (Registered & Presented) papers of ICGEA 2025 will be submitted for inclusion into IEEE Xplore, indexed by EI Compendex & Scopus, etc. Energy is inarguably one of the most pressing global issues faced by humanity in this century, and a reliable and sustainable energy system is crucial to achieve a more sustainable future. The world's energy consumption is expected to nearly double by 2050, with most of the growth happened in countries outside of the OECD. Sustainable development requires consistent access to clean, affordable energy to support economic activity, improve national development, and improve human wellbeing. In addition, there is a strong link between the energy sector and global climate change due to the impact of CO2 arising from burning the fossil fuels. Study shows that carbon emissions hit the peak in 2018, mainly from the carbon-rich fossil fuels that generated nearly 85% of the world’s energy. Taking the above-mentioned as a backdrop, energy is certainly a complex technology involving multidisciplinary research, development, demonstration and deployment in energy systems, grid systems and applications, especially in the energy transition era.In anticipation, the combination of rising populations and living standards of human society in the next 50 years will demand for the development of massively scaled sustainable energy and low-carbon electricity generation solutions with an objective of battling the climate change. These challenges, albeit an unparalleled threat to the business-as-usual, also represent a remarkable opportunity for research, innovation, and green growth.With the success of the previous 8 year, ICGEA came to its 9th edition in 2025. It is proud to announce that 2025 The 9th International Conference on Green Energy and Applications will be held during March 7-9, 2025 in Singapore, which is sponsored by Singapore Institute of Electronics. The theme of ICGEA 2025 is to bridge and connect presenters and audience with different disciplines and background as well as from different geographical locations. The most interesting and disruptive technology often happened at edges and boundaries of different disciplines, and so the aim of the conference is to bring these brains together to synthesize the ideas and knowledge from different sources to achieve the energy innovation.ICGEA 2025 scope covers, but not limited to, the following topics:• Advance biofuel for a sustainable heavy-duty transport and aviation• Bioenergy supply management strategies• Biofuels in developing economies• Biomass• Carbon and Methane capture, storage and utilization• Electric Power Generation, Transmission and Distribution• Energy and Health• Energy and Water• Energy efficiency in building designs and management• Energy in food production and processing• Energy storage and cyber security for smart grids• FACTS and HVDC controllers• Geothermal energy• Green Buildings and Infrastructures• Green energy and energy access• Green energy and social benefits• Green Energy Education and Training• Green Energy in Transport• Green Industrial Technology• Green Policies and Programmes• Green Power• Greening the Fossil Fuels• Greening Urbanization and Urban Settlements• Hybrid vehicles and its integration• Hydropower• Income generation with green energy• Increasing energy access with clean resources• Integration of renewable energy sources in buildings• Low carbon city scenarios, plans and actions• Mainstreaming low-carbon innovations• MDGs and Green Energy• Microgrid and active distribution network management• National bioenergy programmes: economic, political and social issues• Natural gas research and development• Power system economics, operation and control• Protection, reliability, and restructuring of power systems• Rapid urbanization and energy-environmental implications• Regulatory policies and program for implementation and control• Renewable Energy for Power and Heat• Role and future of electric vehicles in smart grids• Rural Development through Green Energy• Settlement forms and functions and energy• Smart Grid and Renewable Energy Integration• Solar thermal and photovoltaics• Sustainable coal use and clean coal technologies• Sustainable materials for buildings• Transformation of power grids to smart grids• Wind energy

Call for PapersVenue: Melbourne, AustraliaFull Paper Submission Deadline: January 25, 2025 (Final Call!!!)Acceptance Notification Date: February 10, 2025Registration Deadline: February 15, 2025Camera-Ready Paper Submission: February 15, 2025Conference Dates: March 12-14, 2025Link: https://www.icint.org/index.htmlSubmitted papers will be strictly reviewed by technical program committee. Accepted papers will be published in ICINT2025 Conference Proceedings, which will be archived in IEEE Xplore, and submitted to be indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in ICINT 2025 to share their research results. Publication News:The proceedings of ICINT 2023 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus.The proceedings of ICINT 2022 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus. 2025 10th International Conference on Information and Network Technologies (ICINT 2025) aims to provide a leading international forum for researchers, practitioners, and professionals from the industry, academia and government to share their new ideas, progresses and achievements in information and network technologies and related fields. ICINT 2025 will be held in Melbourne, Australia during March 12-14, 2025, which is co-sponsored by La Trobe University and IEEE; technically-sponsored by University of the Ryukyus.The conference calls for high-quality, original research papers in the theory and practice of information and network technologies. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in information and networking technologies.CONFERENCE SCOPEThe conference provides an international forum for researchers to report their latest innovations, summarize state-of-the-art in the field, as well as exchange ideas, results, and visions in all fields of information and network technology research and applications. The main topics of interest include, but are not limited to:Advanced Computational Science and ApplicationsAdvanced IT Medical EngineeringAdvanced Management Information Systems and ServicesArtificial IntelligenceBio-inspired Computing and ApplicationsComputer Architecture & VLSIAugmented RealityData CommunicationsData mining applicationsDigital Signal and Image ProcessingExpert SystemsInformation SystemsInformation Retrieval Knowledge Data EngineeringInternet and Web ApplicationsSensor TechnologyWireless Communication and Mobile ComputingWireless Sensor NetworksArtificial IntelligenceDatabase & Data MiningComputer Networks & CommunicationsComputer ArchitectureParallel & Distributed SystemsInternet & its ApplicationsMultimedia & Visual ProgrammingHuman Computer InterfaceVirtual Reality SystemsE-CommerceComputer and network SecuritySoftware EngineeringDistance Learning and e-educationSensor Data ProcessingNeural NetworksComputer SimulationNatural Language ProcessingMachine LearningAspect Oriented Software Development AOSDPattern RecognitionInformation Security (Communication Security/NetworkSecurity/Data Security) GIS Technology and Application3D DisplayMedia and Societal InnovationE-EducationCyber Physical Systems

Medical AI ConsortiumThe Medical AI Consortium was established in 2024 with support from the Program Management Unit for Human Resources & Institutional Development, Research, and Innovation (PMU-B) in terms of budget and administrative management.VisionTo establish medical data platforms supporting the advancement of medical AI.To promote research, development, and innovation in medical AI.To develop capabilities and talent in the field.To produce innovations that benefit medical services. Management Structure1. Data Platform Management BoardResponsible for managing the medical data platform to resolve issues and elevate medical research innovation:Define policies, set strategies, and provide guidance.Promote linkages and integration between research, development, and innovation activities.Facilitate collaborations and partnerships.Ensure data management aligns with relevant regulations.Evaluate and improve management effectiveness.2. Data Steward TeamResponsible for maintaining the integrity and quality of data:Establish data guidelines, focusing on security, privacy, and quality.Audit data to ensure it is comprehensive and up-to-date.Create and manage a data catalog, data dictionary, and metadata.Set standards and implement best practices for data utilization.Facilitate seamless sharing of data while maintaining compliance.Express your interest in joining the Medical AI Consortium!For more details, contact:Email: medicalai@dms.mail.go.th

Accelerating uptake through open proposals for advanced SME innovation (HORIZON-CL3-2024-SSRI-01-02)Programme: Horizon Europe Framework Programme (HORIZON)Opening date: 27 June 2024Deadline date: 20 November 2024 17:00:00 Brussels timeTopic descriptionExpectedOutcome:Projects’ results are expected to contribute to some or all of the following outcomes:Development of a mature technological solution addressing EU security policy priorities in the areas addressed by the Cluster 3 work programme;Facilitated access to civil security market for small innovators;Improved cooperation between public buyers and small supply market actors for a swifter uptake of innovation in response to short to mid-term needs;Stronger partnerships between small and medium EU security industry and technology actors to ensure the sustainability of the EU innovation capacity in the civil security domain and reduce technological dependencies from non-EU suppliers in critical security areas.Scope:Europe’s 25 million small and medium enterprises (SMEs) are the backbone of the EU economy. SMEs can bring innovation to societal challenges, including the security of EU citizens. Innovative SMEs and high-tech start-ups can transform and modernise EU security capabilities.However, despite the innovation capacity of EU SMEs, these often experience difficulties in finding their way to the public markets. These include red tape in public contracts, access to new customers, access to finance, industrial competition and IP valorisation. These difficulties are exacerbated in markets that show restrictions of different kind, as it is the case of security.Knowing that SMEs require additional support to reach the security buyers and that the collaboration opportunities offered by the projects of the Pillar II of Horizon Europe can be a catalyst for uptake, this topic aims to offer a collaborative environment for small and medium innovators to tailor their innovations to the specific needs of civil security end-users.Applicants are invited to submit proposals for technology development along with the following principles:Focus on mature technological solutions addressing EU security policy priorities in the areas addressed by the Cluster 3 work programme.Not overlapping with the scope of the topics included in the other destinations of this work programme.Fostering collaboration between SMEs from different Member States and Associated Countries.Involving security end-users in the role of validator and potential first-adopter of the proposed innovations.Fostering collaboration schemes between small companies and research and technology organisations and/or big industrial players aimed at fostering innovative technology transfer or creating innovative business models that facilitate access to market and strengthen the innovation capacity of EU SMEs and start-ups in the domain of civil security.Examples of activities to plan in the proposed projects include, but are not limited to: assimilating market requirements; facilitating access to additional funding; approaching potential public buyers; assess competitive landscape; supporting in innovation management (methodological and process innovation, business model innovation, market innovation); assist in IP management and exploitation; provide guidance for expansion to future markets, etc.The participation of research and technology organisations should not focus on own technology development but on supporting the small industrial players in accelerating the technology transfer of innovative security solutions for their further development and production.It is encouraged that one SME takes the coordinator role[1]. Exceptions to this requirement should be duly justified.The projects should have a maximum estimated duration of 2 years.Under this topic, projects should address the one of the following areas of Fighting Crime and Terrorism (FCT, Option A), Disaster-Resilient Society (DRS, Option B), Resilient Infrastructure (INFRA, Option C) Border Management (BM, Option D). Some examples of domains that could be addressed:.Option A: Some examples of domains that could be addressed under the FCT area are: (indicative and non-exhaustive): mobile forensics; deepfake detection; detection of counterfeiting (fake items, fake currency bills) or of falsified/forged documents (passports, ID cards); detection and countering of advanced forms of malware, as well as non-cash payment frauds and other cyber-scams.Option B: Some examples of domains that could be addressed under the DRS area are (indicative and non-exhaustive): data and satellite/remote sensing information exploitation, positioning and localisation tracking and tracing, monitoring and surveillance for disaster prevention.Option C: some examples of domains that could be addressed under the INFRA area are: (indicative and non-exhaustive): physical access control, autonomous systems used for infrastructure protection, positioning and localisation tracking and tracing, monitoring and surveillance of environments and activities.Option D: under the BM area are (indicative and non-exhaustive): facilitated border checks; secure documents and identity management for border crossings; border surveillance; detection of drugs, explosives, Chemical, Biological, Radiological and Nuclear (CBRN), weapons and/or other dangerous materials in customs environment; detection of stolen, smuggled, illicit or illegal goods (cigarettes, art, cultural goods, wildlife) in a customs environmentIn this topic, projects should address the EU security policy priorities in the areas addressed by the Cluster 3 work programme.In this topic, the integration of the gender dimension (sex and gender analysis) in research and innovation content should be addressed only if relevant in relation to the objectives of the research effort.Specific Topic Conditions:Activities are expected to achieve TRL 6-7 by the end of the project – see General Annex B.[1]If a MIDCAP is included in the proposal, it could also take the role of coordinator.Eligible countries: described in Annex B of the Work Programme General AnnexesA number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.Other eligibility conditions: described in Annex B of the Work Programme General AnnexesThe following additional eligibility conditions apply:Consortia must include, as beneficiaries:- A minimum of three (3) to a maximum of seven (7) partners.- At least 2 SMEs from 2 different Member States.- At least 1 end-user organisation in the areas addressed by the proposal, namely one of the following options:Option A "Fighting Organised Crime and Terrorism’’Option B ‘"Disaster-Resilient Society’’Option C "Resilient Infrastructure’’ andOption D ‘"Border Management’’, provided that the applications attain all thresholds.- At least 2 Member States must be represented in the consortium.Participation of non-SME industries and Research and Technology Organisations (RTOs) is not excluded, but it must be limited to 15% of the budget.At least 50% of the budget must be allocated to SMEs.The following exceptions apply: subject to restrictions for the protection of European communication networks.

Application deadline: July 4th, 2024Location: Nova Information Management School Universidade Nova de Lisboa Campus de Campolide Lisbon, PortugalLink: https://academicpositions.com/ad/nova-ims/2024/faculty-positions-for-assistant-professor-businesss-intelligence-and-analytics/218536The PositionNOVA Information Management School (NOVA IMS) at Universidade Nova de Lisboa invites for an expression of interest for a position as a Professor (at Assistant/ Associate or Full Professor level) in Business Intelligence and Data Warehouses.The position is to be filled in NOVA IMS’ facilities in Lisbon, Portugal.Salary and conditions are competitive and will be commensurate with qualifications and experience.QualificationsNOVA IMS seeks a candidate with a strong commitment to excellence in scholarly research and teaching. He/ she will be expected to teach in undergraduate as well as graduate programme classes related to Business Intelligence and Databases and one or more of the following areas of expertise:Business IntelligenceDatabase Management SystemData WarehousingData AnalyticsThe successful applicants should have a strong academic background and an international profile in the aforementioned expertise areas with a record of research publications in top-ranked field journals. Moreover, relevant experience in obtaining funding and managing national and international research projects will be considered an advantage.The successful candidate should be able to provide strong and committed leadership in education, including curriculum development, course coordination and educational innovation, the preparation and delivery of lectures, seminars and tutorials, consultation with students, and marking and assessment.The main requirements for applicants are listed below:PhD or doctoral degree from a recognized university;Excellent scientific achievements, documented by internationally recognized publications;Excellent didactic skills;Demonstrate an excellent teaching ability at both the undergraduate and graduate levels;High capacity to develop pedagogical innovations and to manage a programme;Excellent communication skills (oral, written, presentation);Proficient in English (oral and written);Ability to teach in English;Collaborative skills, initiative, result oriented, organization, and capacity to work in an interdisciplinary environment.The SchoolNOVA Information Management School (NOVA IMS, www.novaims.unl.pt) is the School of Information Management and Data Science of Universidade Nova de Lisboa. It is one of the 9 academic units of Universidade NOVA de Lisboa, a university institution with internationally recognized research and quality teaching.It is dedicated to converting data into value, under the motto “Data with Purpose”, through a wide range of activities, namely teaching, and research and development activities that are largely supported by international partnerships, offering a unique research environment to address its main research challenges.The quality of its training is recognized globally, through different national and international accreditations, and outstanding positions achieved in various fields, namely in the Eduniversal ranking (seven of its masters and postgraduate degrees are recognized among the best in the world in their respective areas).NOVA IMS has more than 30 years of accumulated experience in data processing and analysis, which it now puts at the service of digital transformation and the “Big Data” environments in which we live in, namely through a wide range of laboratories (NOVA ANALYTICS LABS powered by NOVA IMS). Today, it has more than 3.000 students from 81 different countries, and high levels of internationalization in all the activities it carries out from Lisbon to the world.How to applyInterested candidates are invited to send the application material listed below by email to rh@novaims.unl.pt (mentioning the reference of the application):A cover letter including motivation to join NOVA IMS;A complete curriculum vitae with a list of publications and a list of classes taught;A copy of the three most significant recent publications, communications or working papers.Reference: NOVAIMS_ BusinessIntelligenceandAnalytics