News & Activities

HARMONIZED NATIONAL R&D AGENDA 2022-2028 (Philippines)https://www.dost.gov.ph/phocadownload/Downloads/Resources/Quick_Links/HNRDA_2022-2028.pdfThe Harmonized National Research and Development Agenda (HNRDA) 2022–2028 presents the Philippines’ national research priorities and strategic directions for science, technology, and innovation. The document outlines key thematic areas covering economic development, human well-being, environmental sustainability, and emerging technologies. It defines priority sectors, cross-cutting research areas, and implementation mechanisms to align research efforts with national development goals. The agenda serves as a guiding framework for government agencies, academia, and industry in planning and coordinating research initiatives from 2022 to 2028.Harmonized National Research and Development Agenda (HNRDA) 2022–2028Condensed Table of ContentsOverview and Strategic ContextVision, Objectives, and Guiding PrinciplesNational R&D Priority AreasEconomic and Industrial DevelopmentHuman Health and Social Well-beingAgriculture, Food Security, and Natural ResourcesEnvironment, Climate Change, and Disaster Risk ReductionEnergy, Water, and Sustainable InfrastructureEmerging Technologies and Basic ResearchCross-Cutting Research ThemesImplementation, Coordination, and GovernanceMonitoring, Evaluation, and Review Framework

2026 IEEE the 14th International Conference on Smart Energy Grid Engineering (SEGE 2026)https://www.ieee-sege.comIndexing: Scopus, SCIE (Web of Science), Ei Compendex, RePEc,Inspec, CAPlus / SciFinder, and other databases.Conference Venue: Ontario Tech University, Oshawa, Canada2026 IEEE the 14th International Conference on Smart Energy Grid Engineering (SEGE 2026) will be held during August 19-21, 2026 at Ontario Tech University, Oshawa, Canada. This premier conference will feature a distinguished lineup of speakers and high-quality research papers, addressing topics including energy generation, grid transmission and distribution infrastructures, energy storage systems, electrification strategies, ICT integration, and energy system cybersecurity.Topics of interest include but not limited to the following:Quantum EnergyCarbon Capturing and Storage TechnologiesResilient / adaptive grid infrastructures design, planning, operation and managementThermal networks, storage, import / export, control, optimization, and applicationsHydrogen and natural gas networks, production and supply chain, integrationGas-power generation systems design and applicationsPower Electronic converters and drivesEnergy storage technologies and systemsDemand monitoring and energy Efficient SystemsFACTS, active power filters, power quality monitoring and performance enhancementSensors, communications and networkGrid modeling, simulation, and data managementEnergy efficiency, conservation, and savingsPlug-in Hybrid Electric Vehicle (PHEV) systems, CNG Vehicles, clean EnergyGrid protection, reliability, energy / power quality and maintenanceSmart metering, measurement, instrumentation, and controlInformation, security and privacyRenewable energy, wind, solar, fuel cells and distributed generation within microgridsComputational intelligence and optimizationSmart homes, cities, communitiesLife cycle assessment, pricing, policies, and energy planningEffects of climate change on health and the societySmart energy grid educationApplication of artificial Intelligence in power systemEffects of power engineering on the climate and the society.

2026 4th International Conference on Control and Robot Technology (ICCRT)https://iccrt.orgImportant DatesSubmission Deadline: March 5, 2026Notification Date: April 5, 2026Registration Deadline: April 20, 2026Conference VenueTokai University(Shonan Campus), Hiratsuka, JapanICCRT 2026 conference will be held in Tokai University(Shonan Campus), Hiratsuka, Japan during August 18-20. 2026. ICCRT 2026 is co- sponsored by Tokai University (Shonan Campus) and Robotics Society of Singapore. ICCRT will offer an ideal platform for presentation, discussion, criticism, exchange of innovative ideas and current challenges in the field of Control and Robot Technology.The main theme of the conference is to address and deliberate on the latest technical status and recent trends in the research and applications of machine learning technologies. The purpose of the conference is to provide an opportunity for the scientists, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference is also aimed at motivating the next generation of researchers to promote their interests in control and Robot technology.Call for PapersThe proposed conference solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track. Articles describing novel ideas and applications in all areas of Control and Robot Technology are of interest, including the following:Aerial and underwater roboticsBio-inspired roboticsCable robots, cognitive roboticsCognitive Approach for RoboticsCollaborative roboticsCollective and Social RobotsControl and Supervision SystemsHuman-Robots InterfacesHumanoid RobotsHumanoidsIntelligent robotics and systemsLegged robots, manipulationMechatronics systemsMEMSMicro- and nano-robotsMobile Robots and Intelligent Autonomous SystemsModeling and identificationMotion planning and learningNetwork RoboticsOpto-mechatronicsParallel roboticsProbabilistic roboticsReconfigurable robotsRobot calibrationRobot controlRobot Design, Development and ControlRobotic platformsRobust control and Process controlService and field roboticsSocial roboticsVision, Recognition and ReconstructionVisual roboticsWheeled mobile robots

The 16th National and the 12th International PIM Conference 2026April 29, 2026https://conference.pim.ac.th/inter/call-for-paper/The 16th National and The 12th International PIM Conference 2026 is an annual academic conference activity organized by the Panyapiwat Institute of Management. It aims to provide a forum for the presentation of research papers of the faculty staff and students from within and outside the institution and within and outside Thailand, for exchanging and sharing ideas among researchers, academics, and professionals, and for hearing suggestions from the qualified experts. This will hopefully lead to the development of more research studies with high quality and the creation of cooperative networks among academics in the same or related disciplines. PANYAPIWAT INSTITUTE OF MANAGEMENTTHE OFFICE OF RESEARCH AND DEVELOPMENT85/1 Moo 2, Chaengwattana Rd., Bang-Talad, Pakkred, Nonthaburi, 11120 ThailandMs. Kittiya Leartkitjanuwat Tel. +662855-0940E-mail: intercon@pim.ac.thMs. Suchinda Chaluai Tel. +662855-1560 (English Oral Presentation)Ms. Janpen Chanthaapichai Tel. +662855-0379 (English Poster Presentation)Ms. Maliwan Krawaonak Tel. +662855-0908 (Chinese Presentation)Office hours Monday – Friday 08.00 A.M. – 5.00 P.M.

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. "

DAAD–SEARCA In-Country/In-Region Scholarship 2026–2027https://www.searca.org/daad-scholarship?fbclid=IwZXh0bgNhZW0CMTAAYnJpZBExYWVkS3Rvb2g1OWpHVGhJRXNydGMGYXBwX2lkEDIyMjAzOTE3ODgyMDA4OTIAAR7Srd2GZBSTRmSITs38eNMD_JoADI-gSBrlsKWMQ_QrAzFoD7orm5Tw1WovvA_aem_Te4GscRZJXn8MqHarPLsbADeadlines: 16 February 2026 – via DAAD portalThe Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) invites applications for the DAAD–SEARCA Scholarship Programme for Master’s and PhD studies for Academic Year 2026–2027 in agriculture, natural resources, environment, and food-related fields.Up to 25 scholarships are available for candidates who plan to pursue careers in teaching and/or research at higher education institutions in Southeast Asia.Key Eligibility:Nationals of SEAMEO member countriesUniversity staff / prospective teaching or research staff / public sector personnelAge: ≤ 40 (Master’s), ≤ 45 (PhD)IELTS 6.0 or higherLast degree completed within the past 6 yearsResearch focus on SUSTAIN Southeast AsiaAdmission or proof of application to partner universitiesPartner Universities:IPB University (Indonesia), Kasetsart University (Thailand), Universitas Gadjah Mada (Indonesia), University of the Philippines Los Baños, Universiti Putra MalaysiaDAAD's partnership with SEARCA started in school year 1975–1976 through a support to the Center's graduate scholarship program leading to Masters and PhD degrees in agriculture. The first 15 beneficiaries of the DAAD support were graduate students from Cambodia, Indonesia, the Philippines, Thailand, and Vietnam. Ten scholarship recipients pursued their Master's degree, while five pursued their PhD.As of Academic Year 2025/2026 (December 2025), DAAD and SEARCA have awarded 434 Southeast Asian nationals from Cambodia (19), Indonesia (94), Lao PDR (10), Malaysia (15), Myanmar (32), Philippines (109), Thailand (82), Timor Leste (26), and Vietnam (47). Among the 434 scholarships, 210 pursued their MS, 219 pursued PhD, and 5 enrolled for Non-degree.EligibilityOpen to nationals of Cambodia, Indonesia, Lao PDR, Myanmar, Malaysia, Philippines, Timor Leste, Thailand, and VietnamMust be (a) staff member of a public university, (b) or a candidate considered for teaching or research staff recruitment, (c) or from the public sectorMust not be more than 40 (Master's Degree) or 45 (PhD) years of age at the time of application.Have completed their last university degree not more than 6 years ago at the time of application.Proposed thesis research should focus on sustainable transformation of agricultural systems through innovation in Southeast Asia. Moreover, research topics must strategically contribute to any of the following outcomes:Increased farmers' incomeImproved food security and nutritionGreater climate resilience of agricultural systemsEmpowered farmers, farmer groups, and agricultural stakeholders and their institutionsScholarship BenefitsCovers tuition and other school fees; study and research allowance; printing allowance; stipend for food, lodging and incidental expenses; travel allowance (In-Region only); and insurance.Details & application: https://www.searca.org/daad-scholarshipInquiries: gsid@searca.org

The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)Conference Theme: "AI-Driven Innovations for a Sustainable Future"https://mlmi.netSubmission Deadline: February 5, 2026Notification Deadline: March 5, 2026Registration Deadline: March 20, 2026 We are thrilled to announce that the 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) will be held in Tokyo, Japan, from July 17 to 20, 2026. Organized by Rikkyo University, Japan, MLMI 2026 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Tokyo. MLMI 2026 aims to advance the field of machine learning and machine intelligence by fostering interdisciplinary collaboration and showcasing cutting-edge research. The scope of MLMI 2026 includes, but is not limited to, deep learning, reinforcement learning, natural language processing, computer vision, robotics, AI ethics, and the integration of machine intelligence in domains such as healthcare, finance, autonomous systems, and environmental sustainability. By providing a platform for knowledge exchange and collaboration, MLMI 2026 seeks to drive innovation and inspire the development of intelligent systems that benefit society.MLMI 2026 offers a unique opportunity to engage with the latest research, connect with global experts, and contribute to the future of machine intelligence. We invite you to join us for four days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration.Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other database.Topics of interest for submission include, but are not limited to:Track 1: Deep Learning and Neural Architectures Track 2: Reinforcement Learning and Sequential Decision Making▪ Architectural Advances ▪ Advanced Reinforcement Learning Algorithms▪ Efficient Training Techniques ▪ Multi-Agent Reinforcement Learning▪ Graph Neural Networks ▪ Time Series and Sequential Data▪ Generative Models ▪ Predictive Modeling▪ Neural Architecture Search ▪ Anomaly Detection▪ Transfer Learning ▪ Sequential Decision Making ▪ Real-Time AI Systems Track 3: Applied Machine Intelligence Track 4: Natural Language Processing and Multimodal Learning▪ Machine Learning in Healthcare ▪ Large Language Models▪ AI in Robotics ▪ Multilingual and Low-Resource NLP▪ AI for Cybersecurity ▪ Multimodal Machine Learning▪ Biometric and Behavioral Analytics ▪ Cross-Modal Retrieval and Generation▪ Industry-Specific Applications Track 5: Emerging Paradigms and Future Directions Track 6: Explainable, Ethical, and Human-Centered AI▪ Quantum Machine Learning ▪ Explainable AI (XAI)▪ Federated and Distributed Learning ▪ Ethical AI and Fairness▪ AutoML and Meta-Learning ▪ Privacy-Preserving Machine Learning▪ Sustainable and Green AI ▪ Human-Centered AI▪ Hybrid Models ▪ Augmented Intelligence

The 11th International Conference on Image, Vision and Computing (ICIVC 2026)https://icivc.org/index.htmlThe 11th International Conference on Image, Vision and Computing (ICIVC 2026) will be held in Kunming, the Spring City of China, during July 17-19, 2026. The conference is co-sponsored by Kunming University of Science and Technology, China and IEEE, organized by the Faculty of Information Engineering and Automation of Kunming University of Science and Technology.Important Dates● Paper Submission Deadline: March 1, 2026● Notification of Acceptance: April 1, 2026● Camera Ready Version Due: April 15, 2026● Registration Deadline: April 15, 2026● Conference Period: July 17-19, 2026PublicationAccepted papers will be included in ICIVC 2026 Conference Proceedings, which will be archived in IEEE Xplore , and indexed by EI Compendex, Scopus, and other indexing services.ICIVC 2026 录用文章将被收录至会议论文集, 由IEEE出版, 并被EI Compendex 和 Scopus 检索ICIVC 2026 is listed in IEEE Official Conference Calendar | ICIVC 2026 被列入IEEE官方会议列表CALL FOR PAPERS (https://icivc.org/cfp.html)In order to ensure academic quality and attract more original high-level academic papers, we are now open to solicit papers. Welcome the professionals, experts, managements and students from the universities, research institutions, and companies to attend the conference!Track 1. Image processing theory and application Track 2. Computer Graphics and computational PhotographyTrack 3. Computer Vision techniques and application Track 4. Multimedia Technology Special Session 1: Generative AI-driven Image and Vision Innovation Special Session 2: Extreme Environment Visual Adaptation TechSpecial Session 3: Multi-modal Visual-Sensor Data Fusion

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

The Japanese Government Scholarship (Monbukagakusho: MEXT)https://www.th.emb-japan.go.jp/files/000521283.pdfhttps://www.th.emb-japan.go.jp/itpr_th/jis_study.htmlThe Japanese Government Scholarship (Monbukagakusho: MEXT) is a fully funded program that enables Thai students and professionals to pursue study and training in Japan. The scholarship covers various levels of education, including undergraduate studies, research (master’s and doctoral), Japanese language and cultural studies, teacher training, technical college, and professional training. It also includes the Young Leaders’ Program (YLP) for mid-career professionals in fields like public administration, business, law, and local governance. Prospective applicants must be Thai nationals and meet specific age, academic, and experience requirements depending on the scholarship category.Application cycles typically open once a year, with document submission in the spring (often April–May), followed by written exams and interviews conducted by the Japanese Embassy or consulate in Thailand. Successful candidates are nominated by the Embassy to the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT). Scholarship benefits generally include tuition support, monthly living stipends, travel expenses, and Japan arrival allowances.MEXT Scholarship Application Timeline (Thailand)AprilThe application period opens. Applicants must submit all required documents within this period.Each applicant may apply for only one scholarship category per year.Embassy of Japan in ThailandJune – JulyWritten examinations and/or interviews are conducted for shortlisted applicants.Examinations are held in several locations, such as Bangkok, Chiang Mai, Khon Kaen, and Songkhla.Embassy of Japan in ThailandAugustThe Embassy contacts Japanese universities and nominates successful candidates to MEXT for further consideration.Embassy of Japan in ThailandJanuaryFinal selection results are officially announced.Embassy of Japan in ThailandApril / OctoberSuccessful applicants depart for Japan to begin their studies, depending on the scholarship category and program start date.

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.

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

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

SDGs Symposium 2026 - AI and Sustainability: Opportunities and Challenges for a Sustainable FutureWe are pleased to announce that the SDGs Symposium 2026 - Al and Sustainability: Opportunities and Challenges for a Sustainable Future will be held on 17th February 2026. The event will take place in a hybrid format, both onsite at the University of Tokyo and online. We look forward to your participation.https://www.springernature.com/gp/researchers/campaigns/sdg-symposium-2026?lid=w1nflj8nra5y&utm_source=braze&utm_medium=email&utm_campaign=ACPG_NONE1_AWA1_W7_CEEV_06I8H_UTokyoSDGs25%20(SN_EN)_Variant%202&cep-id=68b66e22120a3c04ea90573aDate: Tuesday 17 February 2026Time: 14:00-17:10 JST (Symposium) 17:20-19:00 JST (Student poster session, Networking event)Venue: Ito International Hall, The University of Tokyo and Online (Zoom Webinar)Language: English (simultaneous Japanese translation)The event registration is free of charge.If you would like to request accommodations due to a disability, etc., please contact us here.Artificial Intelligence (AI) is transforming how we create, analyze, and act on information, driving innovation across industries and academia. It holds promise for creating sustainable solutions for optimizing resource use, improving inclusivity , and planning smart cities . Yet, AI also raises concerns . Its environmental footprint, including high energy and water consumption , remains poorly understood. Its societal risks such as widening inequalities , job losses, and biased decision-making demand urgent attention. This event aims to examine how AI can support the transition to a sustainable future and the achievement of the SDGs , while minimizing negative impacts. Discussions will focus on how to leverage AI’s potential to tackle sustainability challenges and create sustainable solutions, but also how to ensure transparency, inclusivity, and equity.Join leading researchers and students to engage in dynamic dialogue on AI’s role in shaping a sustainable and equitable society.

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

The 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026)Fukuoka, Japanhttps://www.ic4e.net/index.htmlWelcome to the 17th IC4e 20262026 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e) will be held at Kyushu University Fukuoka, Japan during April 1-4, 2026.Conference Theme: "Innovating E-Systems for a Smarter Future"E-education, e-business, e-management, and e-learning are vital pillars of the digital society's development. With the deep integration of cloud computing, artificial intelligence, and big data technologies, these fields are undergoing rapid transformation. E-education breaks traditional educational boundaries of time and space, e-business accelerates the digitalization of global trade, e-management enhances the efficiency of public services and business operations, and e-learning optimizes knowledge dissemination and learning experiences. These domains have become central drivers of technological innovation and sustainable socio-economic development.The 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e 2026) will be held in Fukuoka, Japan during April 1-4, 2026, sponsored by IEEE, and co-sponsored by Rajamangala University of Technology Tawan-ok, Thailand with patrons from Purdue University Northwest, USA, De La Salle University-Manila, Philippines, China West Normal University, China, Bulacan State University, Philippines, and Prince Sultan University, Saudi Arabia.Call for Papers The 2026 17th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4e 2026), with the theme "Innovating E-Systems for a Smarter Future," serves as the premier forum for presenting new advances and research results in the fields of theoretical, experimental, and applied E-Education, E-Business, E-Management, and E-Learning. This conference will bring together leading researchers, engineers, and scientists worldwide to share their latest research, insights, and developments in these domains. Topics of interest for submission include, but are not limited to:e-Education:Innovative e-learning technologies and platformsSystems, Design and TechnologiesPractices and cases in e-educationSystems and technologies in e-educationApplications and integration of e-educatione-learning evaluation and contentCampus information systemse-learning technologies, standards and systemsMobile learningComputer aided assessmentsKnowledge managementVirtual learning environmentsMultimedia in e-learningMarketing and promoting e-learningSocial benefits of e-learningOrganization learningTechnology adoption and diffusion of e-learninge-Business:Mobile and pervasive commerceElectronic Markets and Multiagent SystemsDigital goods and productsB2B, B2C, and C2C modelsAgent-mediated e-Commercee-Marketplaces, e-Hubs, and portalsPervasive technologies for eCommerceDynamic pricing modelsP2P-computing for e-Commercee-Payment systemse-Commerce content managementConsumer protection in eCommerceUser behavior modelingInnovative business modelsEnterprise application integrationBusiness process re-engineeringVirtual enterprises and virtual marketsVirtual organizations and coalitionsMobile businesse-Learning:Systems, Design and Technologiese-Learning platformsCourse designEmerging and best practicesPartnerships in e-LearningEvaluation of e-Learninge-Learning strategiesSocial benefits of e-Learninge-Learning effectiveness and outcomesWeb-based learningSecurity and confidentialitySelf-learning integrated methodologyAmbient intelligenceAssertive and assistive educational technologyComputer-aided assessmentLearning content management systemsAV-communication and other mediaDigital classroomsBlended learningCollaborative on-line learninge-Management:Leadership in the digital eraKnowledge management systemse-Audite-Control and Risk Managemente-Planninge-Organisinge-Supervisione-Politicse-Communicatione-RecruitmentSystems, Design and TechnologiesKnowledge ManagementTechnology Adoption and Diffusion of eManagemente-Management Strategiese-Management Effectiveness and OutcomesSocial Benefits of e-ManagementCurrent Trends in e-ManagementThreats in e-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

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