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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

Number of UnicornsDESI - Compare two indicatorshttps://digital-decade-desi.digital-strategy.ec.europa.eu/datasets/desi/charts/compare-two-indicators?indicator=desi_dsk_ab&breakdown=ind_total&unit=pc_ind&country=NL,LU,PL,PT,SK,ES,SE&periodY=desi_2024&periodX=desi_2024&indicatorX=desi_unicorns&indicatorY=desi_da&breakdownY=ent_all_xfin&breakdownX=total&unitY=pc_ent&unitX=nb_unicornsDefinition and scopes:Compare two indicators using a scatter-plot chart. Each country appears as a point whose coordinates are its values on the two selected indicators. It allows clustering countries according to their similarities along the two selected indicators and illustrates how much they are correlated. You can also zoom inside the chart.Key insights from the graph:Sweden (SE): Exhibits a high number of unicorns and a significant percentage of enterprises utilizing data analytics.Netherlands (NL): Shows a moderate number of unicorns with a relatively high adoption of data analytics among enterprises.Spain (ES): Has a lower number of unicorns but demonstrates a considerable percentage of enterprises engaged in data analytics.Poland (PL), Portugal (PT), Slovakia (SK), and Luxembourg (LU): These countries display varying levels of data analytics adoption among enterprises, with a relatively lower presence of unicorns compared to Sweden and the Netherlands.This comparison highlights the relationship between the emergence of unicorns and the adoption of data analytics across different European nations.

What is Horizon Europe?Horizon Europe is not a funding agency, but rather a funding framework established by the European Union (EU) to support research and innovation across various fields.Read more at https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/funding-programmes-and-open-calls/horizon-europe_enWhat is Horizon Europe?Horizon Europe is the EU’s key funding programme for research and innovation. Following the Multiannual Financial Framework Midterm Review (MTR) decision, the indicative funding amount for Horizon Europe for the period 2021-2027 is EUR 93.5 billion.It tackles climate change, helps to achieve the UN’s Sustainable Development Goals and boosts the EU’s competitiveness and growth.The programme facilitates collaboration and strengthens the impact of research and innovation in developing, supporting and implementing EU policies while tackling global challenges. It supports creating and better dispersing of excellent knowledge and technologies.It creates jobs, fully engages the EU’s talent pool, boosts economic growth, promotes industrial competitiveness and optimises investment impact within a strengthened European Research Area.Legal entities from the EU and associated countries can participate.Key details about Horizon Europe:Nature of Horizon Europe:It is a 7-year research and innovation program (2021-2027).It has a total budget of €95.5 billion.It focuses on addressing global challenges, such as climate change, health, digital technologies, and more.Role:It serves as a funding framework for researchers, universities, industries, SMEs, and organizations within the EU and associated countries.It does not distribute funds directly but is managed by the European Commission and its agencies, such as the European Research Executive Agency (REA).Related Funding Agencies: Horizon Europe collaborates with funding agencies or entities responsible for allocating funds for specific projects, including:European Research Council (ERC): Supports frontier research.Marie Skłodowska-Curie Actions (MSCA): Focuses on researcher development and international collaboration.Innovation Fund: Provides funding for innovative projects.Conclusion:Horizon Europe is not a funding agency but a funding framework managed by the European Commission to promote research and innovation in Europe and internationally.Countries in ASEAN can apply for funding from Horizon Europe in certain cases, depending on the type of project and the country’s status within the Horizon Europe framework. Here’s a detailed explanation:1. ASEAN Countries and EligibilityASEAN countries are not EU Member States or Associated Countries:Countries in ASEAN such as Thailand, Malaysia, Singapore, Indonesia, and Vietnam are categorized as Third Countries (non-EU and non-Associated Countries).Third Countries Status:Researchers or organizations from these countries can still participate as partners with teams from EU Member States or Associated Countries.2. Conditions for Third CountriesMost ASEAN countries are not eligible for direct funding from Horizon Europe (non-eligible for funding). However, they can collaborate with European teams in specific projects.Example:A research team in Thailand can join as a partner in a project with a European team.Collaborations are typically focused on global challenges, such as climate change, biodiversity, or health.Some ASEAN countries may be supported in certain cases, such as Low- and Middle-Income Countries, as defined by Horizon Europe.3. Examples of ASEAN ParticipationVietnam: Often supported under topics related to sustainable development.Singapore: Can participate as a Third Country, though not eligible for direct funding, it can still contribute as a partner in significant research projects.Thailand: Research teams from Thailand often join through International Cooperation in areas related to regional issues, such as renewable energy or environmental conservation. 4. Recommendations for ASEAN Countries Applying for Horizon Europe FundingBuild collaborations with teams from EU or Associated Countries:This increases the chances of participation and funding opportunities.Focus on projects addressing global challenges:For example, climate change, health innovation, or food security.Review specific project requirements:Some projects may allow ASEAN countries to participate and receive funding.

Hosting InformationOffer Deadline: Thu, 11 Sep 2025 - 23:59Organisation / Company: Monash University MalaysiaCountry: MalaysiaWebsitehttps://www.lancaster.ac.uk/health-and-medicine/https://www.monash.eduEmail- s.r.hall@lancaster.ac.uk- yap.michelle@monash.edu DescriptionBackgroundWe seek highly motivated postdoctoral researchers to submit expressions of interest (EOI) for a 3-year Marie Sklodowska-Curie Actions (MSCA) Postdoctoral Global Fellowship in drug development for snake venom toxins-induced necrosis. This prestigious fellowship offers an excellent opportunity for career development and international attachment in pharmacology and toxinology research. The fellowship also opens opportunities for international collaborations between Asia-Pacific and the EU. This fellowship also fosters early career development support. The candidate will lead innovative research projects in drug development for toxin envenomation, including mechanistic actions, structure-activity relationships, and preclinical assessment. Upon successful application, you will be hosted in Monash University Malaysia (Dr Michelle Yap – Toxin Pharmacology Lab) for 2 years and 1 year at Lancaster University (Dr Steve R Hall). Eligibility:Must hold a PhD in pharmacology, toxinology, biomedical science, biochemistry or biology-related field at the time of application. Meets MSCA requirements for this Global Fellowship: The applicant must be national or long-term resident (5 years+) of an EU Member State or Horizon Europe Associated Country. Demonstrates an excellent track record of publications. Demonstrates proficiency in research, laboratory, and data analysis skills; bioinformatics knowledge is an added advantage. Demonstrates proficiency in writing and communication skillsDemonstrates ability to work effectively in a team. To express interest, please submit a CV, and motivation to apply with two recommendation letters from academic supervisors or collaborators. We will contact the shortlisted candidate to prepare for the application. Closing Date for Applications:To allow ample preparation time for application and proposal writing, we anticipate the closing date to be 31st March 2025. However, please note that the call will remain open until a suitable candidate is found. Early submissions are encouraged.

Call for Papers2025 IEEE 2nd International Conference on Deep Learning and Computer VisionJinan|ChinaApr. 18-21, 2025Full paper submission Deadline: Feb. 10th, 2025Acceptance Notification: Mar. 26th, 2025Registration Deadline: Apr. 11th , 2025Conference Date: Apr. 18-21st, 2025Link: https://www.icdlcv.orgContact: icdlcv@126.comYou are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to DLCV 2025 conference. Topics of interest for submission include:Track 1: Deep LearningMachine LearningUnsupervised LearningDeep Reinforcement LearningConvolutional Neural Networks (CNN)Deep Hierarchical Networks (DHN)Recurrent Neural Network (RNN)Neuro-Fuzzy AlgorithmsAutoencodersGraph Representation LearningClustering, Classification and RegressionEvolutionary MethodsAutonomic ComputingUser ModelingInformation Retrieval and ReuseQuestion-AnsweringCognitive ArchitecturesDeep Learning Approach in Recommendation SystemsTrack 2: Computer VisionBig data and computer visionBiomedical image analysisImage and video codingImage and video retrievalRemote sensing imageComputational photographyOptimization and method of studySensor and displayData collection and performance analysisComputer vision of deep learningDocument image analysisCharacter identificationAnalysis, behavior identityVisual modelsVideo analysisMultimodal information processingVisual and languageMotion and tracking3D reconstructionHuman-computer interaction

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

Call for Expression of Interest for MSCA Postdoctoral fellowships at UNIGE – N. 7 Optimization and machine learningHosting InformationOffer Deadline: Mon, 5 May 2025 - 13:00Organisation / Company: University of GenoaLink: https://euraxess.ec.europa.eu/jobs/hosting/call-expression-interest-msca-postdoctoral-fellowships-unige-n-7-optimization-andUniversity of Genoa, UNIGE, located in Genoa, ITALY, welcomes postdoctoral researchers of any nationality, with an excellent track record, to apply to the European Commission Marie Sklodowska-Curie (MSCA) Postdoctoral Fellowships 2025. Our University has been beneficiary of several MSCA-PF in Horizon 2020 and Horizon Europe. The Marie Sklodowska Curie (MSCA) Postdoctoral Fellowship is one of funding scheme of the European Commission’s Horizon Europe Research & Innovation programme, dedicated to excellent research promoting international mobility, as well as interdisciplinary and intersectoral exchanges. MSCA fellowship grant provides a competitive salary plus mobility and family allowances if applicable, as well as a contribution to cover research, training and networking costs. The research projects will have 2- or 3-years duration. Selected candidates will be provided with special support for proposal writing and development. The University of Genoa will organize in May the fifth edition of the Masterclass MSCA@UniGe. Selectedcandidate researchers will have the opportunity to attend a 2-days online intensive training and coaching course on how to write a successful proposal. This masterclass is a pathway of support to candidates and their supervisors in preparing project proposal, including prescreening activity of the draft proposals and the organisation of dedicated B2B meetings, by the European Research Office of UniGe, National Contact Point and other experts.The masterclass will take place on May/June2025.More information: Masterclass MSCA@UniGeMSCA domain: Mathematics (MAT)Research Project DescriptionI work in the field of optimization for machine learning and inverse problems. My main interest is the development and the application of mathematical optimization techniques to enhance the performance, efficiency, and interpretability of models and algorithms. Optimization plays a crucial role in the of training machine learning models. The goal is to minimize an empirical error, which is an approximation of the true objective function, perturbed by stochastic noise. In modern applications, the problem is often high dimensional, and most successful optimization methods are based on simple iterative procedures, such as gradient descent or stochastic gradient descent. I am interested in many challenges related to the behavior of gradient based methods such as: convergence in the nonconvex setting, implicit regularization properties, scalable, adaptive, asynchronous and distributed implementations.Research GroupMaLGa is a joint research center between computer science and mathematics. Its activities span a wide range of diverse but connected topics, including Computer Vision, Computational Harmonic Analysis, Data Science, Statistical Learning and Optimization.ApplicationAn expression of interest shall be sent to prof. Silvia Villa (silvia.villa@unige.it, Orcid ID: 0000-0002-6232-5631) within 5th May 2025.Your file should contain the following elements:A short CVA one-page research proposalOne/two letters of reference (optional)For more information, please contact prof. Silvia Villa (silvia.villa@unige.it).EligibilityFor MSCA-PF 25 call (opening foreseen on 9th April 2025), at the deadline for the submission of proposals (10th September 2025) postdoctoral candidates shall have a maximum of 8 years of postdoctoral research experience and must not have resided or carried out their main activities in Italy (for European Fellowship) or in the Third Country of the outgoing phase (for Global Fellowship) for more than 12 months in the 3 years immediately prior to the abovementioned deadline. More info on MSCA PF are available at the following link: https://marie-sklodowska-curie-actions.ec.europa.eu/actions/postdoctora…

DDSA Postdoc Fellowship Call 2025Danish Data Science Academy (DDSA)Link: https://www.scientifyresearch.org/grant/ddsa-postdoc-fellowship-call-2025-data-science-denmark/Deadline: 5 March 2025The DDSA Postdoc Fellowship Call 2025 from the Danish Data Science Academy (DDSA) supports visionary and creative-thinking young data scientists who wish to pursue their own research ideas in collaboration with a strong host environment at a Danish research institution. The fellowship is a fixed individual research grant supporting early career data scientists to develop and consolidate their individual research identity and scientific network. By focusing on academic freedom and the researcher-driven idea, DDSA aims to foster talents and engage and empower the new generation of data science researchers in Denmark. What is funded: The Fellowship provides 1.3 million DKK.Duration: 2 years.EligibilityBy the time of application, applicants must have a PhD degree, or the PhD thesis must be accepted for defense prior to June 1, 2025. Applications are open to Denmark-based applicants and those abroad.https://euraxess.ec.europa.eu/jobs/funding/ddsa-postdoc-fellowship-call-2025-data-science-denmark

Energy, Sustainability and SocietyLink: https://energsustainsoc.biomedcentral.comH-Index: 42Publisher: Springer Science + Business MediaISSN: 2192-0567 (electronic)Link: How to publish in this journalhttps://www.scimagojr.com/journalsearch.php?q=21100286318&tip=sid&clean=0Article processing charges (APC)Authors who publish open access in Energy, Sustainability and Society 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: £1590.00/$2090.00/€1890.00Aims and ScopeThis international peer‐reviewed open access journal offers a forum for discourse on systemic challenges at the intersection of energy, sustainability and society for natural scientists, engineers, social and political scientists and industry experts. It is the particular aim of this journal to publish inter‐ and cross‐disciplinary papers that provide a substantial contribution to the holistic innovation of sustainable energy systems.The scope of the journal encompasses the whole innovation process, ranging from scientific research to both innovative approaches for technology implementation and the analysis of economic, social and environmental impacts of sustainable energy systems. We particularly welcome papers that integrate at least two dimensions of the energy, sustainability and society nexus and contribute to new holistic system solutions for the development of novel future energy. The journal strives to publish early scientific opinions on issues, which are just emerging and require crosscutting and creative thinking.Energy, Sustainability and Society publishes independently peer-reviewed original research papers, review papers, forum articles, book reviews, and short communications. We partner with scientists from the Helmholtz Association and the European Sustainable Energy Innovation Alliance (ESEIA) as the topics of the journal reflect their research field and focus. Read the full aims and scope here.Indexing 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 BMC on SpringerLink.We are working closely with relevant indexing services including PubMed Central and Web of Science (Clarivate Analytics) to ensure that articles published in Energy, Sustainability and Society will be available in their databases when appropriate.Energy, Sustainability and Society is currently indexed in the following services:ANVURCNKIChinese Academy of Sciences (CAS) - GoOADOAJDimensionsEBSCO Business SourceEBSCO Discovery ServiceEBSCO Sustainability Reference CenterEI CompendexGaleGeobaseGoogle ScholarINIS AtomindexINSPECInstitute of Scientific and Technical Information of ChinaJournal Citation Reports/Science EditionNaverOCLC WorldCat Discovery ServiceProQuest ABI/INFORMProQuest Advanced Technologies & Aerospace DatabaseProQuest Agricultural & Environmental Science DatabaseProQuest Business Premium CollectionProQuest CentralProQuest Earth, Atmospheric & Aquatic Science DatabaseProQuest EngineeringProQuest Environmental ScienceProQuest Materials Science and Engineering DatabaseProQuest Natural Science CollectionProQuest SciTech Premium CollectionProQuest Social Science CollectionProQuest Sustainability Science AbstractsProQuest Technology CollectionProQuest-ExLibris PrimoProQuest-ExLibris SummonSCImagoSCOPUSScience Citation Index Expanded (SciSearch)TD Net Discovery ServiceUGC-CARE List (India)WTI Frankfurt eG

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

Hosting InformationOffer Deadline: Mon, 31 Mar 2025 - 12:00Country: GermanyWebsite: https://www.silantes.com/DescriptionWe are a medium-sized biotechnology company with a strong research-oriented focuslocated in the heart of Munich. Our work includes the following research areas:- RNA-Technology (RNA-Therapeutics, LNP-Technology)- Hydrogen/Deuterium-Technology in Biology, Electrolysis- Biotechnological Gas-FermentationsWith Silantes as host, you have the opportunity to apply for a research grant within the framework of the MSCA (Marie Skłodowska Curie Actions) for one of the above-mentioned projects. Further information on the MSCA programme can be found here:https://ec.europa.eu/research/mariecurieactions/msca-actions_enYou should meet the following requirements:- A PhD in a natural science discipline earned within the last eight years- A good publication record- Be a citizen of a country other than Germany Please send your application documents, stating the earliest possible starting date, to career@silantes.com.Reference of the job advertisement: SI-MSCAWe will be happy to answer any questions you may have. Further information can be found at www.silantes.com.