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Conference: The 11th International Conference on Big Data Analytics (ICBDA)
Nov 30, 2025 at 9:38 PM
2026 the 11th International Conference on Big Data Analytics (ICBDA)April 11-14, 2026 @ Waseda University, Tokyo, JapanLink: https://www.icbda.orgThe realm of Big Data analytics has recently captured significant attention across diverse research communities including computer science, information technology, and social sciences. The term "Big Data" has taken on widespread significance, reshaping realms such as science, engineering, medicine, healthcare, finance, business, and even society at large. In this context, the 11th International Conference on Big Data Analytics (ICBDA2026), serves as a premier platform for disseminating cutting-edge research findings in the field of Big Data Research, Development, and Application.ICBDA 2026 invites contributions from a broad spectrum of domains, encompassing, but not restricted to, Big Data Models and Algorithms, Big Data Architectures, Big Data Search and Mining, healthcare, social networks, and media applications. Authors are encouraged to submit papers covering a diverse array of big data topics, such as service-oriented technologies, machine learning, predictive analytics, data modeling, system architectures, data mining, and simulation. Critical DatesFull-paper Submission Deadline December 20th, 2025 Abstract Submission Deadline December 20th, 2025 Notification Deadline January 20th, 2026 Registration Deadline February 10th, 2026 Camera Ready Date February 20th, 2026 Conference Dates April 11-14, 2026 Paper ReviewAll papers will undergo a thorough peer review process. Accepted full papers that are presented at the conference will be published in proceedings. Publishing through IEEE provides authors with a reputable, global platform on which to share their research with an audience which includes corporate researchers, academia and government.Conference ProceedingsAfter a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the ICBDA 2026 conference Proceedings.Topics of InterestTopics of interest include, but are not limited to:Big Data Models and AlgorithmsFoundational Models for Big DataAlgorithms and Programming Techniques for Big Data ProcessingBig Data Analytics and MetricsRepresentation Formats for Multimedia Big DataBig Data ArchitecturesCloud Computing Techniques for Big DataBig Data as a ServiceBig Data Open PlatformsBig Data in Mobile and Pervasive ComputingBig Data ManagementBig Data Persistence and PreservationBig Data Quality and Provenance ControlManagement Issues of Social Network Big DataBig Data Protection, Integrity and PrivacyModels and Languages for Big Data ProtectionPrivacy Preserving Big Data AnalyticsBig Data EncryptionSecurity Applications of Big DataAnomaly Detection in Very Large Scale SystemsCollaborative Threat Detection using Big Data AnalyticsBig Data Search and MiningAlgorithms and Systems for Big Data SearchDistributed, and Peer-to-peer SearchMachine learning based on Big DataVisualization Analytics for Big DataBig Data for Enterprise, Government and SocietyBig Data EconomicsReal-life Case Studies of Value Creation through Big Data AnalyticsBig Data for Business Model InnovationBig Data ToolkitsBig Data in Business Performance ManagementSME-centric Big Data AnalyticsBig Data for Vertical Industries (including Government, Healthcare, and Environment)Scientific Applications of Big DataLarge-scale Social Media and Recommendation SystemsExperiences with Big Data Project DeploymentsBig Data in Enterprise Management Models and PracticesBig Data in Government Management Models and PracticesBig Data in Smart Planet SolutionsBig Data for Enterprise TransformationBlockchainBlockchain based lightweight data structures for IoT dataBlockchain based IoT security solutionsBlockchain in cyber physical systemsBlockchain in social networkingBolckchain in crowdsourcing and crowdsensingBlockchain in 5GBlockchain in edge and cloud computingBlockchain and trust management
Lab Location: Hub of Talents in AI and Innovation Next
Oct 4, 2025 at 12:55 AM
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.
Conference: TIMES-iCON2025
May 13, 2025 at 9:34 PM
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]
The 8th World Conference on Computing and Communication Technologies (WCCCT 2025)
Jan 6, 2025 at 1:47 AM
Call for PapersLink: https://www.wccct.org/index.htmlIMPORTANT DATES Paper Submission Deadline (Full-length Manuscript): January 30, 2025Notification of Acceptance: February 25, 2025Camera Ready Version Due: March 15, 2025 Registration Deadline: March 15, 2025 Conference Dates: April 11-13, 2025Conference Venue: Sentosa Hotel (Feicui) Conference PublishingSubmitted manuscripts will be peer reviewed by the conference scientific committees. Accepted and presented papers will be included in WCCCT2025 Conference Proceedings, which will be archived in IEEE Xplore, and indexed byEi Compendex and Scopus.Computing and communication technologies are fundamental pillars of modern science and technology, playing a vital role in advancing information and intelligent systems. From high-performance computing to efficient communication networks, breakthroughs in this field provide a robust foundation for data processing, network connectivity, and the optimization of complex systems. In recent years, with the widespread adoption of artificial intelligence and the Internet of Things (IoT), computing and communication technologies have increasingly integrated resources from multiple domains, delivering innovative solutions for smart cities, industrial internet, healthcare informatics, and more. Against this backdrop, discussing cutting-edge research and exchanging practical applications is essential for driving innovation and industrialization in computing and communication technologies.The 8th World Conference on Computing and Communication Technologies (WCCCT 2025) will be held in Shenzhen, China during April 11-13, 2025, sponsored by IEEE and Shenzhen University, China, and co-sponsored by Sichuan Normal University, Xihua University, Warsaw University of Technology and Ocean University of China.WCCCT 2025 will focus on presenting current and future advancements in computing and communication technologies, showcasing innovative solutions, research findings, and applications in industrial electronics and related fields. We warmly welcome experts, scholars, and professionals in related fields to submit their research and participate in the conference. We look forward to seeing you in Shenzhen!- TRACK 1: COMPUTING AND INFORMATION SECURITY Track Chair: Prof. Yi Pan, Shenzhen Technology University, China - TRACK 2: PARALLEL COMPUTING AND EDGE COMPUTING Track Chair: Prof. Sixing Yin, Beijing University of Posts and Telecommunications, China - TRACK 3: HIGH PERFORMANCE COMPUTING AND MACHINE LEARNING Track Advisory Committee: Prof. Xiaojun Jing, Beijing University of Posts and Telecommunications, China Track Chair: Prof. Wei Yang, Shenzhen Technology University, China Track Program Chair: Prof. Hai Huang, Beijing University of Posts and Telecommunications, China Track Publicity Chair: Prof. Dongliang Xie, Beijing University of Posts and Telecommunications, China - TRACK 4: COMMUNICATION INTEGRATED CIRCUIT DESIGN Track Chair: Prof. Wenxing An, Tianjin University, China - TRACK 5: WIRELESS COMMUNICATION TECHNOLOGY AND INTELLIGENT COMMUNICATION NETWORK Track Chair: Prof. Kaikai Liu, Chongqing University of Posts and Telecommunications, China - TRACK 6: SOCIAL COMPUTING Track Chair: Prof. Ye Yuan, Chongqing University of Posts and Telecommunications, China
Uncertainty in Artificial Intelligence (UAI)
Dec 18, 2024 at 11:16 AM
41st Conference on Uncertainty in Artificial IntelligenceRio de Janeiro, BrazilJuly 21-25, 2025Link: https://www.auai.org/uai2025/The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).Important DatesNameDatePaper submission deadline (incl. supp. material)February 10th, 2025 (23:59 Anywhere on Earth, AoE)Author response/discussion periodApril 3rd - April 10th, 2025 (23:59 AoE)Author notificationMay 6th, 2025 (23:59 AoE)Camera-ready deadlineJune 6th, 2025 (23:59 AoE) Subject AreasBelow you find a non-exhaustive list of relevant topics for your reference.AlgorithmsApproximate InferenceBayesian MethodsBelief PropagationExact InferenceKernel MethodsMissing Data HandlingMonte Carlo MethodsOptimization - CombinatorialOptimization - ConvexOptimization - DiscreteOptimization - Non-ConvexProbabilistic ProgrammingRandomized AlgorithmsSpectral MethodsVariational MethodsApplicationsCognitive ScienceComputational BiologyComputer VisionCrowdsourcingEarth System ScienceEducationForensic ScienceHealthcareNatural Language ProcessingNeurosciencePlanning and ControlPrivacy and SecurityRoboticsSocial GoodSustainability and Climate ScienceText and Web DataLearningActive LearningAdversarial LearningCausal LearningClassificationClusteringCompressed Sensing and Dictionary LearningDeep LearningDensity EstimationDimensionality ReductionEnsemble LearningFeature SelectionHashing and EncodingMultitask and Transfer LearningOnline and Anytime LearningPolicy Optimization and Policy LearningRankingReinforcement Learning and BanditsRelational LearningRepresentation LearningSemi-Supervised LearningStructure LearningStructured PredictionUnsupervised LearningModelsFoundation ModelsGenerative ModelsGraphical ModelsModels for Relational DataNeural NetworksProbabilistic CircuitsRegression ModelsSpatial, Temporal and Spatio-Temporal ModelsTopic Models and Latent Variable ModelsPrinciplesCausalityComputational and Statistical Trade-OffsExplainabilityFairnessPrivacyReliabilityRobustness(Structured) SparsityRepresentationConstraintsDempster-Shafer(Description) LogicsImprecise ProbabilitiesInfluence DiagramsKnowledge Representation LanguagesTheoryComputational ComplexityControl TheoryDecision TheoryGame TheoryInformation TheoryLearning TheoryProbability TheoryStatistical Theory
6 Funded PhD Positions in Nanoscience - IMDEA Nanociencia IDEAL PhD Fellowship Programme
Jun 8, 2024 at 9:57 PM
Second call for applications now open!Deadline: 23 August 2024Organisation Country: SpainIDEAL PhD programme is a new doctoral fellowship programme promoted by IMDEA Nanociencia that aims to attract 12 talented researchers in two open calls to undertake excellent research in any of the programmes at the Institute:P1 Nanotechnology for energy harvestingP2 Quantum materials at the nanoscaleP3 Nanotechnology for healthcareP4 Nanomagnetism for Information and Communication TechnologiesP5 Ultrafast phenomena at the nanoscaleP6 Nanotechnology for Critical Raw Materials and SustainabilityWithin the IDEAL PhD programme, we aim to boost the careers of talented researchers offering them an innovative, intersectoral and truly interdisciplinary training in nanoscience and nanotechnology. IMDEA Nano is committed to providing a pool of researchers with the skills and knowledge needed to tackle the next challenges in the field nanoscience.Doctoral candidates will receive a well-balanced training and quality mentoring from an experienced scientific and management team as well as access to an infrastructure of the highest level for the pursuit of their projects in nanoscience and nanotechnology. The duration of the fellowships is 42 months.Application deadline: 23 August 2024 (17:00 CET)In this second call for applications, 6 MSCA PhD fellowships will be offered to outstanding doctoral candidates for the duration of 3.5 years (42 months) to undertake a PhD project in nanoscience and nanotechnology at IMDEA Nanociencia, in Madrid.A full list of PhD projects is published on the IDEAL PhD website. Applicants are able to freely choose a PhD project and associated supervisor that fits their individual research interest.The IDEAL PhD fellows recruited in this call are expected to start their fellowship in early 2025.How to apply?To apply please visit and register on the IDEAL PhD Fellowship Programme website. Please read carefully the Guide for Applicants before submitting your application.EligibilityResearchers of any nationality are eligible to apply to the IDEAL PhD fellowships. Applicants need to comply with the following eligibility criteria:Mobility requirements: Following the MSCA mobility rule, candidates must not have resided or carried out their main activity (work, studies, etc.) in Spain for more than 12 months in the last 3 years before the call deadline.Degree certificates: Candidates must have completed the studies that lead to an official university degree that gives access to doctoral studies.Research experience: Candidates must be doctoral candidates, i.e. not already in possession of a doctoral degree at the time of the call deadline. Language: applicants must have a B2-equivalent or higher level of English.BenefitsIDEAL PhD fellows will be hired on a full-time standard employment contract for the maximum duration of 3.5 years (42 months) to undertake their PhD research project, complying with the Spanish legislation for the performance of doctoral studies.Through their contracts, fellows will have access to maternity/paternity, retirement, family benefits, and unemployment benefits.Fellows and their families will have access to public health care coverage and medical assistance.Fellows will receivea living allowance (covering salaries, social security contributions, taxes and other costs included in the remuneration), a mobility allowance (mobility costs to take up the position) and a family allowance (to cover additional costs per dependent child after checking eligibility).IMDEA Nanociencia will manage other research and travel costs available for the fellows to cover costs directly related with the development of the projects and necessary for the successful execution and travel costs associated with the researchers training and networking and to cover relevant expenses in secondments.Average annual gross salary of € 24,600Mobility allowance of € 2,400 (paid over the first 12 months, included in average salary).Research, and travel costs up to € 900/month (managed by the institution)Family Allowance of € 100 per month per child (up to 2 children)Researchers with disabilities are supported and an MSCA Special Needs Allowance will be applied for to cover any additional costs that researchers with disabilities face due to the increased costs of their mobility.IMDEA Nanociencia will provide support to fellows during the integration and their stay (visa requirements, general info, and family orientated support). Furthermore, fellows can also take advantage of the agreements in place with the Cantoblanco Campus support network to access on-campus accommodation, sports and cultural activities. Nursery and primary schools based on campus have priority for local workers.
An Artificial Intelligence based approach for the Classification of Pediatric Heart Murmurs and Disease Diagnosis using Wireless Phonocardiography( WD_2023_70_SPONS)
May 4, 2024 at 11:13 AM
Deadline: 22 May 2024Research Field: Professions and applied sciencesFunding Type: FundingMore Information: https://www.scientifyresearch.org/grant/career-development-award-basic-biological-science-italy/Project Key Words: Congenital heart disease, phonocardiogram, Artificial IntelligencePost summaryOur project focuses on harnessing the power of Artificial Intelligence (AI) to analyze phonocardiogram (PCG) data for the early detection of congenital heart disease (CHD). By developing advanced AI algorithms, we aim to revolutionize the way CHD is diagnosed and managed, leading to better outcomes for patients.Person specificationQualificationsEssentialHonours Degree (minimum 2:1) in biomedical engineering, computer science, electrical/ electronics engineering, or a related field.Strong background in signal processing and machine learning.DesirableProficiency in programming languages such as Python, R or MATLAB.Practical experience in simulation environments and Machine Learning libraries.Experience with cardiovascular physiology or cardiology research.Experience with GUI development and web applications. Knowledge & Experience EssentialExperience with machine learning techniques, including deep learning and neural networks.Strong analytical and problem solving skills. DesirablePrevious research experience in healthcare or medical signal processing projects.Experience with data visualization tools.Familiarity with phonocardiogram data analysis and interpretation. Skills & CompetenciesEssentialApplicants whose first language is not English must demonstrate on application that they meet SETU’s English language requirements and provide all necessary documentation. See Page 7 of the Code of PracticeIn order to be shortlisted for interview, you must meet the SETU English speaking requirements so please provide evidence in your application. DesirableExcellent written and verbal communication skills.Willingness and motivation to learn and experience new theoretical and technological areas.