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IEEE Submission and Peer Review PoliciesIEEE Clarifies Guidelines on the Responsible Use of AI in Scholarly Publishinghttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/submission-and-peer-review-policies/#ai-generated-contentIEEE has reaffirmed its commitment to research integrity and transparency by issuing clear guidelines on the use of artificial intelligence (AI) in the preparation and submission of scholarly manuscripts. These policies ensure that innovation in AI-assisted research and writing is balanced with ethical responsibility and the preservation of trust in the peer-review process.Under IEEE’s submission and peer-review policies, authors are permitted to use AI-generated content—including text, figures, images, and code—provided that such use is explicitly and transparently disclosed. Authors must identify the AI tools used, specify the sections of the manuscript affected, and describe the nature of the AI contribution in the Acknowledgments section. Importantly, AI systems cannot be listed as authors, and full accountability for the accuracy, originality, and integrity of the work remains solely with the human authors.IEEE emphasizes that AI tools may assist researchers, but they do not replace scholarly judgment or ethical responsibility. Authors are expected to carefully review all AI-generated material to ensure correctness, proper attribution, and compliance with publication standards. The undisclosed or misleading use of AI-generated content may be treated as a breach of publishing ethics.In parallel, IEEE maintains strict confidentiality standards in the peer-review process. Reviewers are prohibited from using public AI tools to analyze submitted manuscripts, as doing so could compromise confidential content. Through these policies, IEEE aims to support responsible innovation while safeguarding the credibility, transparency, and integrity of the global scholarly record.Guidelines for Artificial Intelligence (AI)-Generated TextUse by Authors“ The use of content generated by artificial intelligence (AI) in an article (including but not limited to text, figures, images, and code) shall be disclosed in the acknowledgments section of any article submitted to an IEEE publication. The AI system used shall be identified, and specific sections of the article that use AI-generated content shall be identified and accompanied by a brief explanation regarding the level at which the AI system was used to generate the content.The use of AI systems for editing and grammar enhancement is common practice and, as such, is generally outside the intent of the above policy. In this case, disclosure as noted above is not required, but recommended. "

Top 1% Journal 2025https://www.scopus.com/pages/ai?temporary-convo=false&conversationId=075ba998-a2ff-4f34-b1cf-21ed22d49c70To identify the top 1% journals in 2025, we can look at various metrics and rankings that are commonly used to evaluate journal quality and impact. These include the Impact Factor (IF), SCImago Journal Rank (SJR), and other bibliometric indicators.Key Metrics and RankingsImpact Factor (IF)The Impact Factor is a measure reflecting the yearly average number of citations to recent articles published in a journal. For example, in the field of 'Nutrition and Dietetics', journals with an IF ≥ 6.0 were analyzed, showing significant citation counts and impact 1.SCImago Journal Rank (SJR)SJR ranks journals into four quartiles (Q1–Q4) based on their impact and quality. Journals in the top quartile (Q1) are considered to be of the highest quality. For instance, the SCImago Journal Rank database is used to evaluate journal prestige in various fields, such as environmental engineering and orthopedics 2 3 4.Journal Article Influence Index (JAII)The JAII is another metric used to evaluate the influence of academic journals. For example, the 2022 JAII was used to rank core journals in orthopedics and gastroenterology, highlighting the highest and lowest influence scores 5 6.Examples of High-Impact JournalsPreventing Chronic Disease (PCD)PCD saw a significant increase in its impact factor, reaching 4.354, and was ranked in the top 10% of more than 27,000 journals evaluated by Scimago in 2021 7.Top Intensive Care JournalsA bibliometric analysis of the top 10 intensive care journals with the highest 2022 Impact Factors showed a strong representation of high-impact research from high-income countries 8.Critical Care Nursing JournalsThe top critical care nursing journals, such as Intensive and Critical Care Nursing (ICCN) and Nursing in Critical Care (NICC), were analyzed for their top-cited papers, indicating significant contributions to the field 9.Trends and ObservationsGeographic and Publisher InfluenceWestern countries and private publishers dominate the top-tier journals in many fields. For example, the United Kingdom, the United States, and the Netherlands house a significant proportion of top journals in environmental engineering 3.Gender DisparitiesDespite improvements, gender disparities in authorship persist in top medical research journals, with women underrepresented as first and senior authors 10.Open Access vs. Subscription ModelsOpen access articles tend to receive more citations compared to subscription-based articles, as seen in critical care nursing journals 9.ConclusionTo be considered in the top 1% of journals in 2025, a journal would likely need to have a high Impact Factor, be ranked in the top quartile (Q1) by SCImago, and demonstrate significant influence through metrics like the JAII. Journals such as PCD, top intensive care journals, and critical care nursing journals exemplify the characteristics of high-impact publications. Additionally, trends such as geographic dominance, gender disparities, and the impact of open access publishing are important factors influencing journal rankings and impact.

2025 AnalysisAn in-depth look at the Highly Cited Researchers 2025 listhttps://clarivate.com/highly-cited-researchers/analysis/The Highly Cited Researchers 2025 list identifies and celebrates individuals who have demonstrated significant and broad influence in their fields of research. Through rigorous selection criteria and comprehensive analysis, we recognize researchers whose exceptional and community-wide contributions shape the future of science, technology and academia globally.This program also emphasizes our commitment to research integrity. Our evaluation and selection process continues to evolve with filters to address issues including hyper-prolific authorship, excessive self-citation, anomalous publication and citation patterns and profiles, ensuring that recognized researchers meet the benchmarks we require for this program.An exploration of this global landscape of top-tier research talent provides us with insights on global research and innovation trends.This year Clarivate has designated 7,131 Highly Cited Researcher awards to 6,868 individuals. Some researchers have been recognized in more than one Essential Science Indicators (ESI) field, resulting in more designations than individual awardees. This analysis, which includes the distribution of designations across nations and institutions, reflects the impact of these 6,868 individuals, distributed across fields, in accordance with the size of each.Details: Highly Cited Researcher awards by ESI field and cross-field categoryTop 10 countries/regions by number of Highly Cited Researcher awardsTop 52 homes to Highly Cited Researcher awards 2025

The e-Asia Joint Research Program (the e-Asia JRP) in the collaboration with PMU-BAnnouncement: The 15th Call for Proposals in the field of cooperation in Alternative Energy Deadline for Proposal Submission : 31 March 2026 17:00 (Bangkok Time)Official website: https://www.the-easia.org/jrp/Fields/ Topic for proposal: Alternative EnergySustainable and Renewable Fuels focusing on (1) Net-Zero Emission Policy and (2) Sustainable Aviation and Marine FuelsEligibility/Additional requirementsApplicants applying as a Lead PI in Thailand must be researchers who are either Thai citizens or non-Thai citizens affiliated with a Thai organization, such as a public or non-profit research institute or university in Thailand.The proposal must have the researchers from Thailand at least 2 institutes/universities to cooperate with.Proposal topics must align with and relate to “Alternative Energy” : Sustainable and Renewable Fuels focusing on (1) Net-Zero Emission Policy and (2) Sustainable Aviation and Marine Fuels.A project leader is an individual with expertise who is affiliated with a government research unit or a higher education institution nationwide and has a research track record that demonstrates their practical knowledge and abilities.The project leader should have publications in international academic journals as a Corresponding or First Author, with at least 5 publications in the past 5 years or as specified by PMU-B.The budget should be within the specified limit.Thai applicants must submit their application and endorsement letters from all research partners to PMU-B through NRIIS: https://nriis.go.thThe Thai applicant’s institution must endorse the submission in the NRIIS system.Deadline of submission to NRIIS System by 17:00 (Thailand Standard Time, UTC+7) on 31 March 2026The Lead PI must also submit the common application to the e-ASIA JRP Secretariat.The entire submission process must be completed before the closing date. Contact InformationDR. SMITH LEKNETTIP (Mr.)Senior Project Analyst, Global Partnership for Sustainability & SocietyProgram Management Unit for Human Resources & Institutional Development,Research and Innovation (PMU-B), ThailandTel: +66 87566 0103E-mail: smith.lek@nxpo.or.th

The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026)23-25 April , 2026, Krabi, ThailandLink: https://ieai.net/index.htmlSubmission Deadline: December 30, 2025Acceptance Notification: February 2, 2026Registration Deadline: February 28, 2026Conference Dates: April 23-25, 2026The 7th International Conference on Industrial Engineering and Artificial Intelligence (IEAI 2026) will be held in Krabi, Thailand, 23-25 April , 2026. It is a premier forum dedicated to the convergence of industrial engineering and artificial intelligence (AI). As industries worldwide rapidly adopt AI to enhance efficiency, productivity, and innovation, this conference aims to explore the latest advancements, research, and applications at this intersection.Key topics of interest include smart manufacturing, robotics, machine learning, predictive maintenance, digital twins, and the integration of AI into industrial processes. As we stand on the brink of the Fourth Industrial Revolution, IEAI 2026 will serve as a critical venue for discussing how AI can drive innovation and sustainability in industrial systems.Whether you are an academic researcher, a practitioner in the field, or an industry leader, IEAI 2026 will offer valuable insights and opportunities to engage with the cutting-edge developments that are shaping the future of industrial engineering and artificial intelligence.IEAI PublicationThe submitted papers will be peer reviewed by Technical Committee. Accepted papers will be published in the International Conference Proceedings. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conferenceCall for Papers1. Applications of AI in Industrial EngineeringIntelligent Manufacturing SystemsAI-Driven Process OptimizationSmart Factories and Industry 4.0AI for Predictive Maintenance in Industrial SystemsRobotics and Automation in ManufacturingAI in Supply Chain and Logistics OptimizationData-Driven Decision Making in Industrial Environments2. Industrial Optimization and AIAI for Industrial Scheduling and PlanningMulti-Objective Optimization using Machine LearningAI-Enhanced Process Control SystemsEnergy Efficiency Optimization in Manufacturing using AIAI-Enabled Simulation and Modeling for Industrial Systems3. AI for Quality Control and Safety in IndustryMachine Learning in Industrial Quality ControlAI for Predicting Failures and Defects in Production LinesSafety Monitoring and Hazard Prevention in Industrial 4. Artificial Intelligence in Industrial Supply ChainsAI and Blockchain Integration for Industrial Supply ChainsSupply Chain Management with Deep Learning TechniquesAI in Logistics and Transportation NetworksData Analytics for Improving Inventory Management in IndustryAI for Risk Management and Resilience in Supply Chains5. Smart Manufacturing and IoTIoT and AI Integration for Real-Time Industrial MonitoringAI in Predictive Maintenance using IoT SensorsDigital Twin Technology for Industrial ApplicationsAI-Driven Decision Support Systems in Industrial Operations6. Industrial Robotics and Autonomous SystemsAI and Machine Learning in Industrial RoboticsAutonomous Mobile Robots in ManufacturingHuman-Robot Collaboration in Industrial EnvironmentsAI for Vision-Based Robotic Systems in Production Lines7. AI in Industrial Process AutomationDeep Learning for Process Automation in IndustryIntelligent Automation Systems in Industrial EnvironmentsAI-Driven Adaptive Control Systems for Industrial ProcessesEdge AI for Real-Time Process Control and Decision Making8. AI-Enabled Sustainability in Industrial SystemsAI for Sustainable Manufacturing PracticesMachine Learning for Energy Consumption OptimizationSmart Waste Management and Recycling Systems using AIAI Solutions for Reducing Carbon Footprint in Industrial Operations9. AI for Data-Driven Industrial Decision MakingPredictive Analytics for Industrial Process ImprovementAI in Industrial Big Data AnalyticsDecision Support Systems using AI in Industrial OperationsMachine Learning for Process Optimization in Real-Time Manufacturing10. AI in Industrial Human-Machine InteractionHuman-Centered AI Design for Industrial ApplicationsAI for Improving Human Performance in Industrial SystemsCognitive Computing and Human Factors in Industrial AIAI and Virtual Reality for Industrial Training and Simulation11. AI and Industrial CybersecurityAI for Threat Detection and Prevention in Industrial NetworksIndustrial Cybersecurity with Machine LearningAI-Driven Risk Management for Industrial IoTAutonomous Systems for Securing Critical Infrastructure in Industry12. AI in Smart Energy and Industrial SystemsAI for Smart Grid and Industrial Energy ManagementAI in Energy Optimization for Industrial FacilitiesMachine Learning for Predicting Energy Demand in Industrial SystemsAI-Driven Energy Efficiency in Industrial Operations

2026 the 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

15th International Conference on Information and Electronics EngineeringMarch 20-22, 2026 | Tokyo, JapanLink: https://www.iciee.org/index.htmlSubmission Deadline: December 25, 2025Acceptance Notification Date: January 25, 2026Authors' Registration Deadline: February 10, 2026Conference Date: March 20-22, 20262026 15th International Conference on Information and Electronics Engineering will be held in Tokyo, Japan during March 20-22, 2026. It aims to provide a more ideal forum for researchers, practitioners, and professionals from the industry, academia and government who are working in the field of information and electronics engineering to discourse on research and development, professional practice in related fields.ICIEE 2026 is organized by Jeju National University, and technically supported by Fukuoka Institute of Technology. ICIEE 2026 hopes to attract papers related to the latest implementation of applications, principles, and algorithms in the broad area of information and electronics engineering, including but not limited to computer science, information sciences, and telecommunications.PublicationsPeer-reviewed papers accepted by ICIEE2026 will be published in conference proceedings, which will be submitted to Scopus, Ei Compendex, etc., for indexing.Track 1: Electronic Science and Information TechnologyIntegrated Circuit Design Theory and TechnologyElectronic control and instrumentationEmbedded SystemsCircuits and SystemsElectronic deviceSemiconductor devices and reliabilityPhysical Electronics and OptoelectronicsElectronic Devices in CommunicationsIndustrial Automation and ControlVLSI Design and FabricationPhotonic TechnologiesBiomedical ElectronicsIndustrial Electronics and AutomationsTrack 2: Electromagnetic Field and Microwave TechnologyAntennas - Design, Modeling and MeasurementMicrowave Circuits - Systems and ApplicationsComputational ElectromagneticsRadio PropagationsIntegrated OpticsTheory and Application of Electromagnetic FieldOptical waveguide theory and technologyOptical devices and optical sensing technologyMicrowave and antennaTrack 3: Coding and Signal ProcessingChannel CodingSpace-Time Signal Processing MIMO and OFDM SystemsSignal Detection and EstimationAudio/Speech Signal ProcessingImage/Video Processing and CodingMedical Imaging and Image AnalysisSignal acquisition and analysis

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

OpenAlexSearch and analyze the world's research.OpenAlex: The Open Index of Scholarly ResearchOpenAlex is a free and open catalog of global scholarly research. It maps the academic landscape through a rich citation graph, connecting:Works (research outputs)AuthorsVenues (journals & conferences)InstitutionsConcepts (fields of study)Funders✔ 100% Open Access✔ API-ready for research and analytics✔ A powerful alternative to Scopus and Google ScholarLearn more at: openalex.org

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

CALL FOR PAPERSConference Venue: BangaloreImportant DatesLast Date of Paper Submission: Feb 28, 2025Notification of Acceptance: April 15, 2025Last Date of Author Registration: May 15, 2025More detail at https://www.ieeespace.org/index.php SPACE is a premier interdisciplinary forum for space, aerospace, and defence experts, engineers, and researchers to come together to discuss the latest developments in designated technologies. The conference provides a platform for sharing cutting-edge research, exploring innovative approaches, and addressing the technical challenges facing the space, aerospace and defence industries. It is a well known fact that technologies used in Space, Aerospace and Defence can be used among these 3 domains with some improvement/modifications. The objective of SPACE is to create a platform where industry professionals and research scientists working across these.domains share, learn and collaborate. Scientists, Researchers and industry practitioners are encouraged to present their work and developments can be used across/at least in two of these domains. The conference covers all aspects of Space, Aerospace and Defence technologies (within IEEE's field of interest). The conference program includes keynote presentations, technical sessions, workshops, and panel discussions, all aimed at fostering collaboration and driving innovation in aerospace and defense. The SPACE Conference is a hub for fostering partnerships between industry, academia, and government agencies. It offers valuable opportunities for networking, mentorship, and professional development, enabling attendees to establish new connections and gain insights into the latest trends and best practices in aerospace and defense. With its focus on IEEE Tagline "Advancing Technology for Humanity" and pushing the boundaries of SPACE, aerospace and defence capabilities, SPACE plays a crucial role in shaping the future of these industries. By bringing together thought leaders and experts, the conference serves as a catalyst for driving progress and innovation in the space, aerospace and defence sectors, ultimately contributing to advancing Indian & Global capabilities in these domains. Attendees can look forward to engaging with leading experts, gaining exposure to groundbreaking research, and participating in discussions that are at the forefront of shaping the future of aerospace and defense. Whether you are an industry professional, academic researcher, or government representative, the SPACE Conference offers a unique platform to exchange ideas, foster collaborations, and contribute to advancing aerospace and defense technologies.TracksAerospace Systems TechnologiesDefence Systems TechnologiesSpace Systems TechnologiesTopicsYou are further requested to choose topics relevant to your paper work among the following:Antenna/RF/MicrowavesCommunication/NetworkingComputing/Cyber Security/IT/Software EngineeringMission Planning/Controls/Navigation/GuidanceEmbedded Systems/VLSI/RFIC/MMIC/NanoelectronicsEMI/EMC/ESD/HPM/Space Weathermm-wave/THz/5G/6GPower/Energy/Power ElectronicsSignal Processing/Data ProcessingAssembly, Integration, & Testing/CheckoutGyros/Sensors & Associated ElectronicsGround Support TechnologiesMiniaturization TechnologiesTechnologies for HumanitySustainable TechnologiesSystem EngineeringReliability/Quality AssurancePhotonics/Electro-opticsOptical/Microwave Remote Sensing TechnologiesNot Listed Above

Research in Southeast Asia quantifies how much wildfire smoke hurts peoples’ moods; finds the effect is greater when fires originate in other countries.Peter Dizikes | MIT NewsPublication Date: February 13, 2024Wildfires in Southeast Asia significantly affect peoples’ moods, especially if the fires originate outside a person’s own country, according to a new study.The study, which measures sentiment by analyzing large amounts of social media data, helps show the psychological toll of wildfires that result in substantial air pollution, at a time when such fires are becoming a high-profile marker of climate change. “It has a substantial negative impact on people’s subjective well-being,” says Siqi Zheng, an MIT professor and co-author of a new paper detailing the results. “This is a big effect.”The magnitude of the effect is about the same as another shift uncovered through large-scale studies of sentiment expressed online: When the weekend ends and the work week starts, people’s online postings reflect a sharp drop in mood. The new study finds that daily exposure to typical wildfire smoke levels in the region produces an equivalently large change in sentiment.“People feel anxious or sad when they have to go to work on Monday, and what we find with the fires is that this is, in fact, comparable to a Sunday-to-Monday sentiment drop,” says co-author Rui Du, a former MIT postdoct who is now an economist at Oklahoma State University.Read more at https://news.mit.edu/2024/study-measures-psychological-toll-wildfires-0213

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 ProposalsClosing date: 31 March 2025, 17:00 (BKK time)Official website: https://www.the-easia.org/jrp/SupportThe total budget for the Thai researcher over a full 3-year period is up to 5,000,000 THB per project. The budget for a project may differ each year, depending on the content of activities and compliance with PMU-B financial guideline (please find details via PMU-B website: www.pmu-hr.or.th)Eligibility/Additional requirementsApplicants applying as a Lead PI in Thailand must be researchers who are either Thai citizens or non-Thai citizens affiliated with a Thai organization, such as a public or non-profit research institute or university in Thailand.The proposal must have the researchers from Thailand at least 2 institutes/universities to cooperate with.Proposal topics must align with and focus on “Health Research” : Health threats and emergencies related to climate change-induced diseases, or the use of Artificial Intelligence (AI) in Personalized Medicine.A project leader is an individual with expertise who is affiliated with a government research unit or a higher education institution nationwide and has a research track record that demonstrates their practical knowledge and abilities.The project leader should have publications in international academic journals as a Corresponding or First Author, with at least 5 publications in the past 5 years or as specified by PMU-B.The budget should be within the specified limit.Thai applicants must submit their application and endorsement letters from all research partners to PMU-B through NRIIS: https://nriis.go.thThe Thai applicant’s institution must endorse the submission in the NRIIS system.Deadline of submission to NRIIS System by 17:00 (Indochina Time, UTC+7) on 31 March 2025The Lead PI must also submit the common application to the e-ASIA JRP Secretariat.The entire submission process must be completed before the closing date.Contact InformationDr.Sonthaya Chaiarwut (Mr.)DR. SONTHAYA CHAIARWUT (Mr.)Senior Project Analyst, Global Partnership for Sustainability & SocietyProgram Management Unit for Human Resources & Institutional Development,Research and Innovation (PMU-B), ThailandTel: +66 2109 5432E-mail: sonthaya.cha@nxpo.or.th

Asian Economic PapersLink: https://aep.jci.edu.my/aboutAsian Economic Papers is sponsored by the Center for Sustainable Development, Columbia University, United States; the Korea Institute for International Economic Policy, South Korea; the Jeffrey Cheah Institute on Southeast Asia, Sunway University, Malaysia; the Economic Research Institute for ASEAN and East Asia, Indonesia; and Antai College of Economics and Management, Shanghai Jiao Tong University, China. AEP’s articles focus on rigorous, objective analysis of key economic issues of a particular Asian economy or of the broader Asian region, and offer creative solutions to these Asian economic issues.AEP selects articles from open submissions and solicits articles from the top experts in the fields that are of high contemporary interest. Authors present their analyses at the Asian Economic Panel, which convenes thrice yearly in different parts of the world. The panel, which held its first meeting in April of 2001, invites about forty leading economists from all over the world to each meeting to discuss the subjects of that particular meeting. The discussion of each topic begins with the presentation of an analytical paper.AEP makes its publication decisions after reviewing the revised papers. The proceedings of the AEP conference are edited and published thrice yearly in a journal, Asian Economic Papers (MIT Press).Editor-in-Chief: Wing Thye WooEditors: Sungbae An, Fukunari Kimura, Ming Lu, and Jeffrey D. SachsFor more details, please see the Editorial Info.Instructions for Authors: https://aep.jci.edu.my/instructions-for-authors/

World's Top 2% ScientistsLink: https://topresearcherslist.comTopResearchersList.com is an interactive platform that provides access to Stanford University's "World's Top 2% Scientists" list. It allows users to search for and explore detailed profiles of leading researchers across various scientific fields. Scientists included in the list can claim and personalize their profiles using their institutional email addresses, enhancing their online presence and credibility. The website offers powerful search and filtering tools that allow users to easily navigate and explore the vast database of top researchers.About: topresearcherslist.comStanford/Elsevier's Top 2% Scientist RankingsStanford's Top 2% Scientists is an esteemed ranking that identifies the most cited scholars in their fields. This ranking, derived from Scopus database data, highlights researchers whose work has had a significant impact across various scientific disciplines.MethodologyThe ranking is based on a composite indicator (c-score) calculated from six citation metrics:Total citations (NC)H-index (H)Hm-index (H-index adjusted for the number of authors)Citations to single-author papers (NCS)Citations to single or first-author papers (NCSF)Citations to single, first, or last-author papers (NCSFL)The c-score combines these metrics to provide a comprehensive measure of a scientist's impact, accounting for both the quantity and the quality of their contributions.Selection CriteriaTop 100,000 Scientists: Scholars are ranked based on their c-score, including and excluding self-citations. 2% Percentile: Scientists in the top 2% of their sub-field are also included. Field and Sub-field Classification Researchers are categorized into 22 scientific fields and 174 sub-fields based on the standard Science-Metrix classification.Data And UpdatesCareer-long Impact: Metrics cover the entire career of a scientist up to the end of current year-1.Recent Year Impact: Metrics focus on citations received during current year-1.Latest Version: This latest version is based on the Scopus snapshot as of October 1, current year.Transparency and Accessibility: This is a publicly accessible database that includes standardized information on citations, h-index, co-authorship adjusted hm-index, and the c-score. Metrics are available with and without self-citations, and field-specific percentiles are included for all scientists with at least five papers.For more detailed information, visit the ICSR Lab.Stanford University's list of "World's Top 2%" scientists is based on a 2% or above percentile rank, or the top 100,000 by c-score (with and without self-citations). This prestigious list identifies the world's leading researchers, representing approximately 2% of all scientists worldwide. It encompasses standardised data on citations, h-index, and a wide range of bibliometric indicators. Researchers are classified into 22 scientific fields and 174 sub-fields, drawing from Scopus data provided by Elsevier through ICSR Lab.

August 2024 data-update for "Updated science-wide author databases of standardized citation indicators"Published: 16 September 2024|Version 7 |DOI: 10.17632/btchxktzyw.7Contributor: John P.A. IoannidisLink: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added in the most recent iteration. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2023 and single recent year data pertain to citations received during calendar year 2023. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2024 snapshot from Scopus, updated to end of citation year 2023. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2024. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, see attached file on FREQUENTLY ASKED QUESTIONS. Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429aMorehttps://www.researchgate.net/publication/384564448_World_Ranking_of_Top_2_Scientists_2024

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

Environmental HealthLink: https://ehjournal.biomedcentral.com/aboutSubmission guidelines: https://ehjournal.biomedcentral.com/submission-guidelinesAims and scopeEnvironmental Health publishes manuscripts on important aspects of environmental and occupational medicine and related studies in toxicology and epidemiology that elucidate the human health implications of exposures to environmental hazards. Environmental Health articles are published with open access, and the journal operates a single-blind peer-review system.The journal is aimed at scientists and practitioners in all areas of environmental science in which human health and well-being are involved, either directly or indirectly, and with a view to improving the prevention of environmentally-related risks to human health. Environmental Health is a public health journal serving the public health community and scientists working on matters of public health interest and importance pertaining to the environment.Before submitting a manuscript, please see our submission guidelines for author guidance.Indexing servicesAll articles published in Environmental Health are included in:CABICASCitebaseCurrent contentsDOAJEmbaseEmBiologyGlobal HealthMEDLINEOAIsterPAIS InternationalPubMedPubMed CentralScience Citation Index ExpandedScopusSOCOLARZetocThe 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 BioMed Central on SpringerLink.Why publish your article in Environmental Health?We are a well-established and highly influential open access journal publishing high quality research in all aspects of environmental and occupational medicine.We are a highly accessed resource for scientists and practitioners working in environmental and occupational medicine. With more than one million direct article downloads per year, We are ranked in Q1 in the SCIE 2022 Journal Citation Reports for both the Public, Environmental and Occupational Sciences and Environmental Sciences categories.Supported by our highly-respected Editorial Board, we are committed to open research and transparency, encouraging preprint deposition, and operating a single-blind peer-review system.Open access publication ensures that your article can be easily discovered, accessed, used, and shared, maximising your impact and acting as a springboard for further discovery.