{"id":16471,"date":"2019-05-12T19:31:32","date_gmt":"2019-05-12T19:31:32","guid":{"rendered":"https:\/\/coinsconf.com\/?page_id=16471"},"modified":"2025-10-12T15:24:37","modified_gmt":"2025-10-12T15:24:37","slug":"cfp","status":"publish","type":"page","link":"https:\/\/coinsconf.com\/2025\/cfp\/","title":{"rendered":"Call for Papers"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;20377&#8243; img_size=&#8221;large&#8221; add_caption=&#8221;yes&#8221; alignment=&#8221;center&#8221; onclick=&#8221;custom_link&#8221; css=&#8221;&#8221; qode_css_animation=&#8221;&#8221; link=&#8221;https:\/\/coinsconf.com\/wp-content\/uploads\/2025\/04\/All-Tracks-IEEE-COINS25_v5.pdf&#8221; title=&#8221;Call for Papers&#8221;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3><strong>Submission Deadline (Extended): April 29, 2025<\/strong><\/h3>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3><\/h3>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2><\/h2>\n<h2><strong><u>GUIDELINES<\/u><\/strong><\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Authors are invited to submit their original manuscripts written in English via the online submission platform of Easychair (<a href=\"https:\/\/easychair.org\/conferences\/?conf=ieeecoins2025\">EasyChair<\/a>).<\/li>\n<li>Each manuscript should include the complete paper text, all illustrations, and references. The manuscript should conform to the IEEE format. Authors are recommended to format their papers based on one of these templates: <a href=\"https:\/\/www.ieee.org\/conferences\/publishing\/templates.html\" target=\"_blank\" rel=\"noopener noreferrer\">Suggested IEEE Proceedings Paper Template<\/a><\/li>\n<li>All papers must be in PDF format only, with savable text.<\/li>\n<li>Each regular paper must be no more than <strong>six pages<\/strong> (including the abstract, figures, tables, and references), double-columned, 10pt font.<\/li>\n<li>Authors of <strong>Special Session papers<\/strong> may submit full (6-page) invited papers, which will be published in the IEEE COINS 2025 proceedings. Authors must include the label (Special Session) in 10pt font at the top right corner of the first page of their camera-ready papers.<\/li>\n<li>Accepted papers are allowed <strong>six pages<\/strong> in the conference proceedings free of charge. Each additional page beyond six pages is subject to the page charge of $150.00 per page <strong>up to the eight-page limit<\/strong>.<\/li>\n<li><strong>IMPORTANT: <\/strong>Your submission must not include information that serves to identify the authors of the manuscript, such as name(s) or affiliation(s) of the author(s), anywhere in the manuscript, abstract, or in the embedded PDF data. References and bibliographic citations to the author(s) own published works or affiliations should be made in the third person.<\/li>\n<li>By submitting a manuscript to IEEE COINS, the authors guarantee that the manuscript has not been previously published or accepted for publication in a substantially similar form in any conference, journal, or workshop. The only exceptions are i) workshops without archived proceedings, such as in the ACM\/IEEE digital library (or where the authors chose not to have their paper appear in the archived proceedings), or ii) venues, such as IEEE CAL, where there is an explicit policy that such publication does not preclude longer conference submissions. These are not considered prior publications.\u00a0 Technical reports and papers posted on public social media sites, Web pages, or online repositories, such as <a href=\"http:\/\/arxiv.org\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-saferedirecturl=\"https:\/\/www.google.com\/url?hl=zh-TW&amp;q=http:\/\/arxiv.org&amp;source=gmail&amp;ust=1500176860652000&amp;usg=AFQjCNHPFFXR6-bIZxA6Oyg4nbZVmFhDLA\">arxiv.org<\/a>, are not considered prior publications either. The authors also guarantee that no paper that contains significant overlap with the contributions of the submitted paper will be under review for any other conference, journal, or workshop during the COINS review period. Violation of any of these conditions will lead to rejection. \u00a0As always, if you are in doubt, it is best to contact the program chair(s).<\/li>\n<li>\u00a0We also note that the IEEE Plagiarism Policy (<a href=\"https:\/\/www.ieee.org\/publications_standards\/publications\/rights\/plagiarism_FAQ.html\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/www.ieee.org\/<wbr \/>publications\/policies\/<wbr \/>plagiarism_policy<\/a>) covers a range of ethical issues concerning the misrepresentation of other works or one&#8217;s own work.<\/li>\n<li>Paper Evaluation: All regular papers go through a <strong>blind<\/strong> peer-review process. Submitted manuscripts are carefully reviewed by several reviewers and rated considering Relevance, Originality, Technical Quality, Significance, and Presentation. Based on the corresponding score\/comments given by reviewers, program and track chairs will decide if a paper can be accepted as a full regular paper (with 20+5 minutes of oral presentation) or as a short paper (with 13+2 minutes of oral presentation).<\/li>\n<li>It is crucial to adhere to the specified formatting guidelines (e.g., anonymous submission, page limits, font sizes, margins, and citation styles, among other requirements). Failure to comply with these guidelines will result in the rejection of the paper, regardless of its technical novelty or content.<\/li>\n<li><strong>IMPORTANT<\/strong>: Final camera-ready versions must be identical to the submitted papers with the following exceptions; inclusion of author names\/affiliation, correction of identified errors, and addressing reviewer-demanded changes. No other modifications of any kind are allowed, including modification of the title, change of the author list, reformatting, restyling, rephrasing, removing figures\/results\/text, etc. The TPC Chairs reserve the right to finally reject any manuscripts not adhering to these rules. A report detailing all the revisions made must be submitted together with the final camera-ready manuscript once any revision is conducted. The addition\/removal of authors once the paper is accepted will have to be approved by the program chair since it potentially undermines the goal of eliminating conflicts for reviewer assignment.<\/li>\n<li>IEEE will hold the copyright for COINS proceedings. Authors of accepted papers must sign an IEEE copyright release form for their paper.<\/li>\n<li>IEEE\u2019s Publishing Policy can be found here, and the Author Rights page can be found <a href=\"https:\/\/www.ieee.org\/publications\/rights\/copyright-policy.html\">here<\/a>. Any issues\/questions authors have regarding the copyright form or IEEE Policy may be addressed to IEEE.<\/li>\n<li>An author of each accepted submission is required to:\n<ul>\n<li>Produce a paper for the official conference proceedings.<\/li>\n<li>Make sure the final manuscript to be published passes the IEEE eXpress compliance check.<\/li>\n<li>Sign and submit a copyright form.<\/li>\n<li>Every accepted paper MUST have at least one author registered to the Conference by the time the camera-ready paper is submitted; at least one of the authors is also expected to attend the conference and present the paper. IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore) if the paper is not presented at the conference.<\/li>\n<\/ul>\n<\/li>\n<li>Note that following <a href=\"https:\/\/www.ieee.org\/publications\/rights\/copyright-policy.html\"><strong>IEEE&#8217;s policy on authorship<\/strong><\/a>, anyone listed as Author on a paper must meet all the following criteria:\n<ul>\n<li>They have made substantial intellectual contributions to some components of the original work described in the paper; and<\/li>\n<li>They have participated in drafting and\/or revision of the paper; and<\/li>\n<li>They are aware that the paper has been submitted for publication; and<\/li>\n<li>They agree to be held accountable for any issues relating to the correctness or integrity of the work<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2><\/h2>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><b>SCIENTIFIC PAPERS<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Complete manuscripts may be up to six pages in a standard IEEE two-column format, with the option to include two additional pages for a fee of $150 per page, where the first six pages are free, for a maximum total of eight pages. Authors are required to clearly articulate the significance of their work, highlight novel contributions, and describe its current development status. The submission process follows a double-blind review policy, requiring authors to anonymize their manuscripts to ensure impartial evaluation. Manuscripts that exceed the page limit or fail to adhere to the submission guidelines, including the requirement for double-blind review, will be returned without review to maintain the integrity and fairness of the evaluation process. Scientific papers can be submitted to the following tracks:<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><b>Track: Artificial Intelligence of Things (AIoT): From Edge to Cloud<\/b><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">This track explores advancements in the Artificial Intelligence of Things (AIoT), combining the power of AI with IoT systems to enable intelligent, scalable, and efficient solutions from device-level processing to large-scale cloud ecosystems. It emphasizes innovations in intelligent IoT devices, edge\/fog computing, AI-powered communication protocols, and real-world deployment scenarios. Contributions focusing on the integration of AI to enhance IoT systems and applications are particularly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<p><b>AIoT Devices and Sensors<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Smart and intelligent devices: sensors, sensor systems, and AI-powered front-ends.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Low-power AIoT devices, wearable technologies, and body sensor networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Embedded systems with on-device AI processing for real-time intelligence.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimization of data traffic, latencies, and intelligent signal processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced sensing and edge intelligence for smart environments.<\/span><\/li>\n<\/ul>\n<p><b>AIoT Communication and Networking<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-powered communication protocols and optimization for AIoT (6LoWPAN, RPL, 6TiSCH, etc.).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Intelligent routing and transport protocols for AIoT networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine-to-machine (M2M) and device-to-device (D2D) communications enhanced by AI.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration of AI in 5G, LPWA, and next-generation networks for AIoT.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-driven self-organization and self-healing networks for AIoT.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Federated learning and edge intelligence in AIoT communication systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Traffic modeling and performance evaluation with AI-enhanced analytics.<\/span><\/li>\n<\/ul>\n<p><b>AIoT Platforms, Applications, and Services<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Intelligent platforms and frameworks for AIoT application development.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cyber-physical systems enhanced with AI for smart decision-making.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-driven data analytics, visualization, and storage across edge, fog, and cloud.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Distributed AI models for edge intelligence in IoT systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Collaborative AI-powered IoT applications for smart environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Real-world AIoT deployment scenarios, testbeds, and large-scale pilot programs.<\/span><\/li>\n<\/ul>\n<p><b>AIoT Deployment and Standardization<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AIoT deployment in agriculture, retail, smart cities, healthcare, and beyond.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Experimental AIoT prototypes, field trials, and performance evaluations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration of AI and IoT in future internet architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Standardization, regulation, and ethical considerations for AI in IoT.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Artificial Intelligence, Machine Learning, and Cognitive Computing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">This track invites groundbreaking contributions in artificial intelligence, machine learning, and cognitive computing. It explores cutting-edge methodologies, transformative applications, and emerging technologies like foundation models and generative AI.\u00a0<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Foundation models and large-scale pretrained architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generative AI, including large language models (LLMs) and vision-language models (VLMs).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced neural architectures: CNNs, RNNs, GANs, transformers, and diffusion models.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Neural generative models, autoencoders, and spiking neural networks (SNNs).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Adaptive systems and brain-inspired representations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Multi-modal integration across vision, language, and other modalities.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Transfer learning, ensemble methods, and reinforcement learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bayesian learning, Monte Carlo simulations, and Markov models.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Few-shot, low-shot, semi-supervised, and unsupervised learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Time-series analysis and predictive analytics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Federated learning and decentralized AI frameworks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Robust learning: adversarial training, explainability, and ethical AI.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">3D vision, motion tracking, and scene understanding.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Object detection, segmentation, and image\/video analytics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Behavior recognition and logical representation in vision systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automatic speech recognition (ASR) and spoken language understanding.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Speech-to-text, text-to-speech, and multilingual language processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Spoken dialog systems, robust speech recognition, and spontaneous speech processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data mining across text, streams, processes, and networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Business intelligence solutions using AI-driven insights.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vision-language integration for tasks like captioning and question answering.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Trustworthy and explainable AI in high-stakes applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ethical AI and privacy-preserving techniques in AI models.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Generative AI: Systems, Architectures, and Applications<\/b><\/p>\n<p><span style=\"font-weight: 400;\">This track explores the advancements and applications of Generative Artificial Intelligence (GenAI) across systems, architectures, and various disciplines. It emphasizes innovations in algorithm optimization, scalable system design, and transformative applications leveraging technologies like large language models (LLMs), vision-language models (VLMs), generative adversarial networks (GANs), and diffusion models. Submissions focusing on efficiency, hardware compatibility, and the integration of GenAI into real-world systems are highly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Algorithm Optimizations for GenAI Deployment<\/b><span style=\"font-weight: 400;\">:<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">Techniques for optimizing algorithms for hardware compatibility, creating low-complexity, hardware-friendly models, and enabling scalable deployment across diverse applications such as image generation, language translation, and genomic research.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Circuits and Systems for GenAI Implementation<\/b><span style=\"font-weight: 400;\">:<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">System and circuit design for efficient GenAI implementation, including architecture design, ASIC\/FPGA circuit optimization, and embedded software implementation on multi-core CPUs, GPUs, and DSPs. Topics also include addressing challenges in architecture security, performance evaluation, scalability, and energy efficiency.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Generative AI for Accelerating Circuit and System Design<\/b><span style=\"font-weight: 400;\">:<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">Applications of GenAI in design automation, efficient verification, and optimization of circuits and systems, leveraging tools such as LLMs for ASIC\/FPGA design, synthesis, and validation workflows.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Applications of Generative AI Across Disciplines<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Healthcare and Medicine<\/span><\/i><span style=\"font-weight: 400;\">: AI-driven drug discovery, medical image enhancement, mental health diagnostics, and genomics-based personalized medicine.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Natural Language Processing (NLP)<\/span><\/i><span style=\"font-weight: 400;\">: Advanced language models for text generation, multilingual summarization, and sentiment analysis.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Engineering and Manufacturing<\/span><\/i><span style=\"font-weight: 400;\">: AI for generative design, robotics-enabled problem-solving, and optimization in product design and engineering workflows.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Business and Finance<\/span><\/i><span style=\"font-weight: 400;\">: Applications in financial forecasting, market simulation, and AI-driven decision-making and customer service.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Education and Training<\/span><\/i><span style=\"font-weight: 400;\">: AI-generated educational content, virtual tutoring systems, and immersive learning environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Environmental Science<\/span><\/i><span style=\"font-weight: 400;\">: AI for predictive environmental modeling, climate change simulations, and sustainable practices.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Gaming and Virtual Environments<\/span><\/i><span style=\"font-weight: 400;\">: Interactive content creation, generative storytelling, and AI-powered real-time enhancements in VR and AR.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><i><span style=\"font-weight: 400;\">Security and Privacy<\/span><\/i><span style=\"font-weight: 400;\">: GenAI applications in cybersecurity, combating misinformation and deepfakes, and ensuring data privacy in AI-generated outputs.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Hardware\/Cyber Security and Privacy<\/b><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">This track addresses the critical challenges of safeguarding interconnected systems, focusing on robust hardware designs, secure communication architectures, and advanced privacy-preserving technologies. Researchers and practitioners are invited to submit their innovative solutions for mitigating evolving cyber threats and enhancing hardware resilience.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Hardware Security<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Hardware-based attacks and countermeasures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Secure hardware design.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Efficient and secure HW\/SW implementations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Fault-resistant and tamper-detection designs.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Secure Communication<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Cryptographic protocols.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Secure communication architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Network security.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Emerging Technologies<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">IoT security.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Blockchain and cybersecurity.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Trustworthy AI.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Machine learning-based security mechanisms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Satellite security.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Cryptography<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Lightweight cryptography.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Postquantum cryptography.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Applied Security<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Security and privacy in healthcare.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Security of critical infrastructure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Mobile security and privacy.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Cyber Security<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Threat models and attack strategies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Threat detection and mitigation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Intrusion and malware detection systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Cybersecurity protocols and policies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Cross-layer security.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Usable security.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Privacy<\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Privacy and anonymization techniques.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Privacy-enhancing technologies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Legal and ethical aspects of privacy.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Distributed Ledger Technologies and Blockchain<\/b><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">This track explores advancements in blockchain and Distributed Ledger Technologies (DLTs), emphasizing their role in decentralized frameworks, IoT ecosystems, and innovative consensus mechanisms. Submissions are invited to present novel research, address real-world challenges, and propose performance optimizations in blockchain systems.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recent developments in DLT and blockchain research.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Theoretical advancements in DLT and blockchain for IoT.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">System design and implementation methods for blockchain-based IoT systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Development of DLT-enabled IoT sensor networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Decentralized security solutions for IoT using blockchain schemes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Threat models and attack strategies for blockchain and DLT in IoT.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Decentralized keys, identity management, and access control mechanisms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Frameworks and software platforms for IoT security and privacy.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Performance evaluation and experimental analysis of blockchain IoT schemes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Novel development and optimization of smart contracts in IoT ecosystems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Efficient consensus protocols and algorithms for DLTs in IoT devices.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration of AI and machine learning with blockchain for IoT optimization.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Convergence of AI, DLT, and blockchain for intelligent systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Design of mathematical models and decentralized frameworks for DLT systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Blockchain and DLT in peer-to-peer (P2P) and machine-to-machine (M2M) communications.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Circuits and Systems (CAS) Designs for AI and AIoT<\/b><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">This track focuses on innovative circuit and system designs that support the demands of Artificial Intelligence (AI) and Artificial Intelligence of Things (AIoT). It emphasizes creating energy-efficient, high-performance devices, scalable circuits, and integrated architectures to meet the computational and connectivity needs of modern intelligent systems. Contributions that address emerging technologies such as in-memory computing, silicon photonics, and neuromorphic engineering, as well as AI-focused accelerators and deep learning hardware, are particularly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Emerging beyond-CMOS technologies for scalable AI and AIoT systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced sensory circuits and devices for AI-driven and AIoT applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Silicon photonics for AI processing and high-speed communication.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Robust device designs for low-power and high-variability environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Spiking neural networks (SNNs) for neuromorphic computing and AI acceleration.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In-memory computing (CiM) architectures for energy-efficient AI processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Design and implementation of low-power AI accelerators for deep learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hardware optimization for neural networks, including deep learning and reinforcement learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Communication circuits for high-speed, low-latency AI and AIoT systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Circuits optimized for large-scale data processing and AI analytics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hierarchical system designs supporting collaborative edge-cloud AI processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Power modeling, optimization, and low-power circuit designs for AI systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cross-layer optimization strategies for scalable AI architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Neuromorphic engineering for biologically inspired AI systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced system-level solutions for distributed AI processing and decision-making.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Communications and Networking for AIoT<\/b><\/p>\n<p><span style=\"font-weight: 400;\">This track explores advancements in communication technologies and networking paradigms to meet the growing demands of Artificial Intelligence of Things (AIoT) systems. It focuses on innovations in wireless communications, protocol design, and system-level optimizations, leveraging AI and machine learning to enhance connectivity, performance, and security. Submissions addressing theoretical breakthroughs, practical implementations, and real-world deployments are particularly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Wireless communications, including cellular networks (4G, 5G, and beyond).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced communication theory and cognitive radios for intelligent systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Signal processing techniques for AIoT communication.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Novel communication protocols and cross-layer optimization for AIoT.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Broadband wireless networks and software-defined wireless networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Green communication technologies and energy-efficient networking.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Terahertz communication for high-speed, low-latency applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ad hoc and sensor networks for distributed AIoT systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Big data and data analytics in communication systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI and machine learning applications in communication networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Federated learning and decentralized AI for communication systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">UAV networking and communication for AI-enabled applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vehicular communication technologies for autonomous and AI-driven systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Spectrum sharing and interference management strategies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cloud, edge, and fog computing integration with communication networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Security, privacy, and attack detection in AIoT communication infrastructures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Case studies, testbeds, and deployment of AIoT communication systems.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Low Power Design and Electronic Design Automation<\/b><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">This track explores innovative methodologies and tools for energy-efficient design and automation, addressing the needs of next-generation systems for Artificial Intelligence (AI) and Internet of Things (IoT) applications. The focus includes EDA for AI, advancing tools to optimize the design of AI-specific architectures and accelerating workflows for deep learning systems. Simultaneously, the track highlights automation techniques for low-power, scalable solutions across IoT and intelligent systems. Emerging approaches that integrate AI-driven EDA, Generative AI (GenAI), and Large Language Models (LLMs) into design workflows are particularly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimization tools for designing deep learning accelerators and AI-specific architectures, including spiking neural networks (SNNs).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">System-level design, high-level synthesis, and power-aware optimization for AI and IoT.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generative AI (GenAI) and Large Language Models (LLMs) for automation in design workflows, including high-level synthesis (HLS), logic synthesis, place-and-route, security verification, test generation, and formal verification.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LLM-aided system-level design methodologies and physical design processes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LLMs for reasoning, math, and optimization in the design process.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LLM-aided verification, bug-fixing, and debugging in design automation workflows.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Security and robustness of LLM-generated designs and workflows.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Finetuning large foundation models for specialized EDA applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">New Datasets and Benchmarks for LLM-aided design<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-driven frameworks for simulation, testing, and formal verification of system designs.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Specification and modeling languages for AI and intelligent systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Design methodologies for machine learning hardware, including low-power AI accelerators and in-memory computing (CiM).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">CAD tools for optimizing cyber-physical systems, AI architectures, and IoT ecosystems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Power modeling, optimization, and low-power circuit design techniques for AI and IoT applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Variability-aware and temperature-aware design methodologies for robust energy-efficient systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cross-layer optimization for integrated AI and IoT system architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hierarchical design solutions for scalable AI processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Emerging design technologies for future memories.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hardware-aware neural architecture search for efficient AI deployment.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Neuromorphic engineering and biologically inspired design techniques for AI acceleration.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Design methodologies, optimizations, verification, analysis and reliability for machine learning architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Approximate architectures for machine learning applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Novel neural networks architectures and concepts for embedded computing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Co-design space exploration for ML applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Robotics and Intelligent Systems<\/b><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">This track focuses on advancing the field of robotics by integrating intelligent systems that enable greater autonomy, adaptability, and interaction in dynamic environments. It emphasizes distributed robotics, human-robot collaboration, and AI-powered learning and control mechanisms, with applications spanning industries such as healthcare, manufacturing, and logistics. Contributions addressing innovations in robotics technologies, perception, learning, and real-world applications are highly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Distributed Robotics<\/b><span style=\"font-weight: 400;\">: Multi-robot systems, fleet management, coordination, task and resource allocation, Internet of Robotic Things (IoRT), and cloud robotics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Perception<\/b><span style=\"font-weight: 400;\">: Distributed environment perception, multi-robot SLAM, and interactive perception techniques.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Human-Robot Interaction<\/b><span style=\"font-weight: 400;\">: User interfaces, shared autonomy, human-robot teaming, remote interaction, telepresence, and teleoperation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Learning<\/b><span style=\"font-weight: 400;\">: Decentralized learning, multimodal learning, multi-agent systems, learning for perception, and robust learning methods.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Planning and Control<\/b><span style=\"font-weight: 400;\">: Navigation and planning for fleets, shared control, exploration, distributed control, and efficient task and resource allocation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Applications<\/b><span style=\"font-weight: 400;\">: Robotics in industries such as manufacturing, logistics, maintenance, and inspection, as well as healthcare applications for service, manipulation, assistance, and monitoring.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Digital Healthcare and Well-being<\/b><\/p>\n<p><span style=\"font-weight: 400;\">This track focuses on the intersection of automation technology, artificial intelligence, wearable computing, IoT, and healthcare to advance the field of digital healthcare and well-being. It emphasizes innovative solutions, devices, and frameworks for personalized health monitoring, medical diagnostics, and secure health data management. Submissions exploring the convergence of technology and healthcare are highly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AIoT for medical and healthcare applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mobile and e-Health sensing systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Wearable, outdoor, and home-based sensors for health monitoring.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generative AI (GenAI) applications in healthcare decision-making and diagnostics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Large Language Models (LLMs) for healthcare applications, including medical records analysis and conversational AI.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Explainable AI (XAI) for transparent healthcare predictions and recommendations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Novel devices, circuits, and architectural support for e-health applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Printable electronics and energy harvesting for healthcare systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Nano-CMOS and Post-CMOS-based sensors, circuits, and controllers.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-driven cloud-enabled body sensor networks and secure middleware for e-health.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Energy-efficient PHY\/MAC and networking protocols for e-health applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reprogrammable and reconfigurable embedded systems for healthcare.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">eHealth traffic characterization and scalable software architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Big data analytics, machine learning algorithms, and distributed healthcare analytics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Privacy-preserving and security approaches for large-scale health data analytics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Federated learning for secure and collaborative healthcare data processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Fog and edge computing for resource allocation and real-time healthcare applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Fault tolerance, reliability, and scalability for eHealth systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-based early detection and prediction of diseases using multimodal data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration of AI and IoT in predictive health monitoring systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Autonomic analysis, monitoring, and situation alertness in healthcare systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Case studies in telemedicine, remote diagnostics, and smart health management architectures.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Industry 4.0 and Smart Manufacturing<\/b><\/p>\n<p><span style=\"font-weight: 400;\">This track explores emerging technologies and strategies for the design and implementation of smart factories in the Industry 4.0 era. It emphasizes the integration of AIoT, robotics, AI, and advanced manufacturing techniques to improve productivity, flexibility, and sustainability in modern industries. Contributions addressing real-world implementations and innovative solutions are highly encouraged.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Intelligent IoT-based solutions for smart manufacturing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Innovative sensing strategies for process monitoring and tracking product history.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Digital twins for product design and smart manufacturing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Smart interconnection and interoperation for digital twin ecosystems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine learning techniques for process control and quality improvement.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Real-time IoT data analytics, data aggregation, and event detection.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration of additive manufacturing technologies in smart factories.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Smart modeling of factory floors and sensor-integrated manufacturing processes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Human-machine interfaces and communication technologies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Immersive technologies: augmented reality (AR), virtual reality (VR), and mixed reality (MR).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Edge-fog-cloud computing for smart factory architectures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Privacy-preserving machine learning and secure data sharing in Industry 4.0.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Applications of distributed ledger technologies (DLTs) and blockchain in smart manufacturing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced robotics: collaborative and adaptive robotic systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Semantic Web of Things for interconnected smart factory systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Real-world case studies and Industry 4.0 implementation experiences.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Track: Smart Infrastructure<\/b><\/p>\n<p><span style=\"font-weight: 400;\">This track focuses on the integration of cutting-edge technologies such as AIoT, AI, edge-cloud computing, and distributed systems to develop intelligent, sustainable, and resilient infrastructure. It encompasses smart cities, agriculture, energy, mobility, and beyond, addressing both foundational technologies and their applications. Submissions are encouraged that highlight innovative solutions, deployment strategies, and cross-domain applications to redefine the future of infrastructure.<\/span><\/p>\n<p><b>Key Topics<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<p><b>Smart City and Urban Management<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AIoT-enabled urban infrastructure for real-time monitoring and control.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI and machine learning for urban planning, traffic management, and predictive maintenance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Edge-to-cloud computing for resource optimization in urban environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Intelligent systems for public safety, disaster management, and resilience planning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Renewable energy and energy storage solutions integrated into urban environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced networking architectures for seamless 5G\/6G-enabled smart city ecosystems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Urban environment analytics: pollution monitoring, waste management, and water systems.<\/span><\/li>\n<\/ul>\n<p><b>Smart Agriculture and Rural Development<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sensor networks and AIoT for precision farming, irrigation, and soil health monitoring.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Drones and autonomous vehicles for crop monitoring, pest detection, and yield estimation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Big data analytics and AI for climate-resilient agriculture.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Smart solutions for mixed farming systems, aquaculture, and forestry.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Distributed platforms for resource sharing in rural farming communities.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Energy-efficient IoT systems for remote and rural agricultural applications.<\/span><\/li>\n<\/ul>\n<p><b>Smart Energy and Grid Systems<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-driven demand-response systems and renewable energy integration.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced metering infrastructure (AMI) for smart grids.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Real-time data analytics and fault detection in energy distribution networks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Blockchain for secure transactive energy management and microgrid optimization.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Energy storage systems, including battery management and grid-scale solutions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IoT and AI for smart energy systems in urban, rural, and industrial settings.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Edge computing for real-time energy management and predictive maintenance.<\/span><\/li>\n<\/ul>\n<p><b>Smart Mobility and Transportation<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Autonomous and connected vehicle technologies for safer, efficient transportation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mobility-as-a-Service (MaaS) platforms integrating public and private transport systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IoT and AI for traffic prediction, congestion reduction, and fleet optimization.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Advanced hardware and software for autonomous aerial vehicles and drones.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cybersecurity and safety measures for intelligent transportation systems (ITS).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integrated multimodal transportation planning and management.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Infrastructure for electric vehicles (EVs) and charging networks.<\/span><\/li>\n<\/ul>\n<p><b>Smart Water and Waste Management<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AIoT solutions for water quality monitoring, distribution, and wastewater treatment.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-driven predictive maintenance for water infrastructure systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Smart waste collection and recycling systems leveraging AIoT and data analytics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integrated water and waste management platforms for urban environments.<\/span><\/li>\n<\/ul>\n<p><b>Cross-Domain Integration and Emerging Technologies<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cyber-physical systems for integrated infrastructure solutions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Standardization frameworks and interoperability for multi-domain IoT systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI, Edge AI and federated learning for decentralized infrastructure optimization.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Real-world deployment scenarios, testbeds, and field trials for smart infrastructure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Privacy, security, and data governance for large-scale infrastructure systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sustainable and resilient designs for climate change adaptation.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>SPECIAL SESSIONS PROPOSALS<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Special session proposals are invited on emerging and cutting-edge topics, panel discussions, or embedded tutorials. Each proposal must include a 150-200 word abstract, the names and affiliations of the organizers, and a list of at least three speakers, complete with their contact information and tentative presentation titles.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Accepted special session proposals will require organizers and speakers to prepare one of the following options for inclusion in the formal conference proceedings:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">(a) A single collaborative paper authored by all or a subset of the presenters, up to 10 pages (excluding references).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">(b) Three individual papers, each up to 6 pages (including references).<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>TUTORIALS PROPOSALS<\/b><\/p>\n<p><span style=\"font-weight: 400;\">IEEE COINS invites proposals for Tutorials. Tutorial sessions are designed to offer participants a comprehensive overview and discussion of advanced topics relevant to the conference. Tutorials aim to highlight innovative ideas, emerging trends, or breakthrough applications in various fields covered by the conference. Participants will have the opportunity to learn cutting-edge techniques, explore pioneering concepts, and gain insights from domain experts. Tutorials typically run for 1.5-2 hours, but longer half-day sessions (split into two blocks of 1.5-2 hours each) may also be considered.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><b>WORKSHOPS AND TUTORIALS PROPOSALS<\/b><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">IEEE COINS invites proposals for Workshops. Workshops are half-day events that encourage active discussions on focused topics within specific fields of interest. These workshops typically include peer-reviewed papers, invited talks (optional, without paper submissions), and presentations. Workshops provide an engaging forum for researchers and practitioners to exchange ideas, foster collaborations, and address key challenges in their domains. Accepted papers from workshops will be included in the IEEE COINS Proceedings, which will be submitted to the IEEE Xplore Digital Library and other indexing services.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><b>CALL FOR SPEAKERS &amp; PANELS<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Are you an executive, strategist, or professional working in the fields of IoT, Big Data, AI\/ML, Blockchain, Cloud Computing, or Robotics? <\/span><span style=\"font-weight: 400;\">The purpose of the <\/span><b>COINS Pavilion <\/b><span style=\"font-weight: 400;\">is to present content that is interesting to both the <\/span><b>technical <\/b><span style=\"font-weight: 400;\">and <\/span><b>business audiences<\/b><span style=\"font-weight: 400;\"> that attend COINS. There are three options when submitting a proposal:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Panels <\/b><span style=\"font-weight: 400;\">(45 minutes long). The topic of each panel should be interesting, timely, and relevant to multiple segments of COINS attendees. Controversy is appropriate and encouraged.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Individual (Technical or Demo) oral presentations <\/b><span style=\"font-weight: 400;\">(20\u00a0 minutes long)\u00a0 without any paper submission. If any presenters would also like to submit <\/span><b>a technical research paper<\/b><span style=\"font-weight: 400;\"> for publication, then that option is available, if desired. All submitted papers will be <\/span><span style=\"font-weight: 400;\">peer-reviewed<\/span><span style=\"font-weight: 400;\"> for acceptance, and there is no guarantee that papers submitted by invited presenters will be accepted.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Mini-Oral Talk <\/b><span style=\"font-weight: 400;\">(each 10-minute presentation | ideally C-level speakers).\u00a0<\/span><\/li>\n<\/ol>\n<h2 class=\"widget-title\"><\/h2>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;20377&#8243; img_size=&#8221;large&#8221; add_caption=&#8221;yes&#8221; alignment=&#8221;center&#8221; onclick=&#8221;custom_link&#8221; css=&#8221;&#8221; qode_css_animation=&#8221;&#8221; link=&#8221;https:\/\/coinsconf.com\/wp-content\/uploads\/2025\/04\/All-Tracks-IEEE-COINS25_v5.pdf&#8221; title=&#8221;Call for Papers&#8221;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221;] Submission Deadline (Extended):&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","footnotes":""},"class_list":["post-16471","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/pages\/16471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/comments?post=16471"}],"version-history":[{"count":85,"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/pages\/16471\/revisions"}],"predecessor-version":[{"id":20408,"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/pages\/16471\/revisions\/20408"}],"wp:attachment":[{"href":"https:\/\/coinsconf.com\/2025\/wp-json\/wp\/v2\/media?parent=16471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}