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<span style="background-color: rgb(255, 255, 255);"><b>The 8th IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2026)</b></span></div>
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<span style="background-color: rgb(255, 255, 255);">November 4 - 6, 2026, San Jose, CA, USA</span></div>
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</span><span style="font-size: 12pt; background-color: rgb(255, 255, 255);">Cognitive machine intelligence (CogMI) takes up one of the central questions in modern AI research: what does it mean for an artificial system to perceive, reason, remember, decide,
and communicate, and what can the cognitive, neural, and behavioral sciences tell us about how to build, study, and deploy such systems well? As AI becomes infrastructure for scientific discovery, healthcare, and the coordination of complex social and economic
systems, the answers to these open questions have practical consequences. Making progress on them calls for work that is both technically rigorous and interdisciplinary.</span></div>
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<span style="font-size: 12pt; background-color: rgb(255, 255, 255);">The goal of the IEEE Conference on Cognitive Machine Intelligence (IEEE CogMI) is to create a forum for research that places cognition at the center of how we build, study, and deploy AI and
machine learning. We welcome contributions that draw on theories of human cognition to inform the design of AI, that analyze cognitive-like phenomena in artificial systems, and that build AI capable of richer cognitive behavior. The conference is deliberately
interdisciplinary, bringing together researchers and practitioners from computer science and engineering, psychology and neuroscience, the social and behavioral sciences, philosophy, and ethics, legal studies, and public policy. We are especially interested
in work that treats AI as a partner to human judgment rather than a substitute for it, and that examines the conditions under which human–machine collaboration produces reliable and accountable systems.</span><span style="background-color: rgb(255, 255, 255);"><br>
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Website: </span><span style="font-size: 12pt; background-color: rgb(255, 255, 255);"><a href="https://cogmi.ieee-cs.org/2026/" id="OWAcaa8eaea-85fc-50fe-e230-b3d109ea6e5a" class="OWAAutoLink">https://cogmi.ieee-cs.org/2026/</a></span></div>
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<span style="background-color: rgb(255, 255, 255);"><b>Important Dates<br>
</b>Time Zone: Anywhere on Earth<br>
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Round 1 Submission Dates:<br>
Submission Deadline: June 1, 2026<br>
Notification of Acceptance Date: July 25, 2026<br>
Camera Ready Due: August 15, 2026<br>
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Round 2 Submission Dates:<br>
Submission Deadline: August 15, 2026<br>
Notification of Acceptance Date: September 20, 2026<br>
Camera Ready Due: September 30, 2026<br>
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</span><span style="font-size: 12pt; background-color: rgb(255, 255, 255);"><b>List of Topics</b></span></div>
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<span style="background-color: rgb(255, 255, 255);">Topics of interest include, but are not limited to:</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Cognitive Foundations and Architectures</i></span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Cognitive architectures, computational models of mind, and dual-process (System 1/System 2) theories in AI, including agent architectures, models of executive
function, adaptive behavior, bounded rationality, and developmental learning trajectories</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Neuroscience-inspired AI (NeuroAI) and neuromorphic computing, including brain-inspired architectures, biologically plausible learning rules, neural coding principles,
spiking neural networks, predictive coding, and free-energy frameworks</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Memory, attention, and information processing in artificial systems, including memory-augmented networks, episodic replay, models of forgetting and consolidation,
selective attention, cognitive load, information bottlenecks, chunking, and content-addressable memory</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Reasoning and Knowledge</i></span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Commonsense, causal, and abstract reasoning, including analogical and relational reasoning, compositional generalization, spatial and temporal reasoning, counterfactual
thinking, and reasoning under uncertainty and incomplete information</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Neuro-symbolic AI and hybrid architectures, including integrating neural learning with symbolic knowledge representation, differentiable logic programming, neural
theorem proving, and bridging perception, language, and formal reasoning</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Knowledge representation, ontology, and conceptual structure, including concept formation and categorization, belief revision, epistemic reasoning, knowledge
graphs, commonsense knowledge bases, and schema-based understanding of events</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Probabilistic and Bayesian models of cognition, including probabilistic computing, Bayesian learning, rational analysis, reasoning under uncertainty, and probabilistic
programming as cognitive modeling frameworks</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Language, Communication, and Meaning</i></span></div>
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<li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Large language and vision-language models as cognitive and linguistic objects of study, including what LLMs and VLLMs reveal and fail to reveal about human cognition,
language, vision, and meaning; multimodal cognition and visual-linguistic binding; scaling laws and intelligence; in-context learning as cognitive flexibility; chain-of-thought as verbal reasoning</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Natural language processing, generation, and speech through a cognitive lens, including computational psycholinguistics, models of language acquisition, semantic
grounding and compositionality, pragmatics, discourse, text analytics, and speech recognition/generation</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Dialogue systems, virtual agents, chatbots, and conversational AI, including communication and common ground theory, cooperative dialogue, audience design, perspective-taking,
and interactive storytelling</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Perception, Embodiment, and Action</i></span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Perception, grounding, and embodied cognition, including multimodal integration, language grounding to vision and robotics, affordance learning, intuitive physics,
object permanence, active perception, and simulation-based understanding</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Computer vision and image processing as cognitive perception, including visual reasoning, scene understanding, visual question answering, saliency, gaze modeling,
and cognitive models of visual search and recognition</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Cognitive robotics, autonomous systems, and human-robot interaction, including sensorimotor learning, cognitive motor planning, spatial navigation, embodied
interaction, situated cognition in physical agents, and collaborative robot behavior</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Learning and Adaptation</i></span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Machine learning, neural networks, and deep learning as models of cognition, including few-shot and meta-learning as rapid generalization, curriculum and continual
learning, transfer and domain adaptation, inductive biases as cognitive constraints, and self-supervised learning as perceptual development</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Reinforcement learning, planning, and goal-directed behavior, including model-based vs. model-free learning, hierarchical goal decomposition, world models, imagination
and look-ahead, curiosity-driven exploration, and test-time adaptive reasoning</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Learning with relational and graph-structured data, including graph neural networks for relational and structural cognition, knowledge organization, relational
reasoning, and learning over interconnected conceptual structures</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Social Cognition and Behavior</i></span></div>
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<li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Theory of mind, social reasoning, and multi-agent cognition, including modeling beliefs, desires, and intentions of others; joint attention; cooperation and
coordination; cultural transmission; negotiation; mechanism design; and algorithmic game theory</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Social computing, computational social science, and social psychology of AI, including modeling collective behavior and social dynamics, group decision-making,
social norms, social influence, opinion formation, and AI-mediated social interaction</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Affective computing, emotion, and behavioral science, including emotion recognition and modeling, sentiment analysis, empathy in AI, behavioral models of decision-making,
heuristics and biases, and the cognitive-behavioral foundations of human-AI systems</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Creativity and Imagination</i></span></div>
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<li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Computational creativity, imagination, and generative cognition, including AI for art, music, design, and scientific ideation; divergent thinking; conceptual
blending; generative models as accounts of imagination; evaluating novelty and meaning; and ethical issues of creative AI (authorship, appropriation)</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Human-AI Interaction and Trust</i></span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Human-AI collaboration and mixed-initiative systems, including augmented cognition, human-in-the-loop learning, cognitive aspects of shared decision-making,
adaptive interfaces, designing for appropriate mental models of AI, and cognitive workload in human-AI teams</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Trust, reliance, and mental models of intelligent machines, including cognitive foundations of trust calibration, over-reliance and under-reliance, transparency
as a trust mechanism, and building/maintaining trust in AI across contexts</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Explainability, Safety, and Alignment</i></span></div>
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<li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Explainability, interpretability, and transparency, including cognitive models of explanation, XAI methods (feature attribution, concept-based, natural language),
probing neural representations, attention visualization, argumentative explanations, and human evaluation of explanations</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">AI safety, value alignment, and responsible AI, including bias, fairness, and equity through cognitive and social science lenses; reward modeling and preference
specification; adversarial robustness; moral reasoning; accountability; and the cognitive science of AI risk perception</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Privacy, security, and adversarial machine learning, including privacy-preserving AI, adversarial resilience as cognitive reliability, deceptive alignment, and
the societal-cognitive impacts of surveillance and data practices</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Evaluation, Philosophy, and Societal Impact</i></span></div>
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<li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Cognitive benchmarking and psychometric evaluation of AI, including testing AI on human cognitive tasks, comparing human and machine reasoning/perception/language,
behavioral experiments with AI, compositionality and systematicity metrics, and evaluation methodology for cognitive AI</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Consciousness, metacognition, and self-awareness in AI, including introspection, confidence calibration, self-monitoring and self-correction, computational theories
of consciousness, self-models, and philosophical questions about machine understanding</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Philosophy of AI, ethics, and the nature of intelligence, including the grounding problem, narrow vs. general intelligence, moral status of cognitive AI, governance
and regulation, and the distinction between understanding and pattern matching</span></div>
</li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;">
<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);">Societal and cognitive impacts of AI, including effects on human attention, memory, skill, and autonomy; AI in education, health, science, business, and public
welfare; cognitive ergonomics of AI-generated content; and responsible deployment across application domains</span></div>
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<div class="elementToProof" role="presentation"><span style="background-color: rgb(255, 255, 255);"><i>Cross-Cutting and Emerging</i></span></div>
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<div class="elementToProof" role="presentation"><i></i><span style="background-color: rgb(255, 255, 255);">Emerging frontiers in cognitive AI, including agentic AI and autonomous tool use, foundation models as cognitive models, retrieval-augmented cognition,
multi-agent cognitive ecosystems, AI for scientific discovery, developmental AI, world models as internal simulators, synthetic data as cognitive rehearsal, and AI-assisted cognitive science</span></div>
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<span style="background-color: rgb(255, 255, 255);"><b>Submission Guidelines</b></span></div>
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<span style="background-color: rgb(255, 255, 255);" role="presentation">Research Track Paper Submission: We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. Papers submitted
to Research track should be up to 10 pages, anonymously in the standard two column IEEE proceedings format, excluding the bibliography, well-marked appendices, and supplementary material. which can be found at
<a href="https://urldefense.com/v3/__https://www.ieee.org/conferences_events/conferences/publishing/templates.html__;!!FjuHKAHQs5udqho!L3Cz4AQwaA6Vk7jfkxcVqRPKWdfY2XS53QdFQF9F7C37ZDp5f_YZjMnTa_DBhqWyEiVrcbmBJ-zRNZbELRdZR9IDarN14RyLGKAO$" id="OWAdafa5743-5060-fa28-4b17-6008c64e4272" class="x_x_x_OWAAutoLink" data-auth="NotApplicable" style="text-decoration: none; border-radius: 0px;">
IEEE Manuscript Templates for Conference Proceedings</a>. Authors should not change the font or the margins of the IEEE format. Papers should avoid revealing authors’ identity in the text. When referring to their previous work, authors are required to cite
their papers in the third person, without identifying themselves. The papers should be submitted at the research track of the conference in
<a href="https://easychair.org/conferences/?conf=ieeecogmi2026" title="https://easychair.org/conferences/?conf=ieeecogmi2026">
EasyChair</a>.</span></li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; color: rgb(0, 0, 0); direction: ltr;">
<span style="background-color: rgb(255, 255, 255);" role="presentation">Vision Track Paper Submission (By Invitation Only): We invite original research vision papers that have not been previously published and are not currently under review for publication
elsewhere. Vision contributions should focus on blue-sky ideas and research vision in the area that at least one of the lead senior authors are known for. Vision paper can be as short as 2 pages but should be no longer than 10 pages in the standard two column
IEEE proceedings format, which can be found at <a href="https://urldefense.com/v3/__https://www.ieee.org/conferences_events/conferences/publishing/templates.html__;!!FjuHKAHQs5udqho!L3Cz4AQwaA6Vk7jfkxcVqRPKWdfY2XS53QdFQF9F7C37ZDp5f_YZjMnTa_DBhqWyEiVrcbmBJ-zRNZbELRdZR9IDarN14RyLGKAO$" id="OWA1a8ec667-e386-710f-4914-2e55e2c117fc" class="x_x_x_OWAAutoLink" data-auth="NotApplicable" style="text-decoration: none; border-radius: 0px;">
IEEE Manuscript Templates for Conference Proceedings</a>. The papers should be submitted at the vision track of the conference in
<a href="https://easychair.org/conferences/?conf=ieeecogmi2026" title="https://easychair.org/conferences/?conf=ieeecogmi2026">
EasyChair</a>.</span></li><li style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; color: rgb(0, 0, 0); direction: ltr;">
<span style="background-color: rgb(255, 255, 255);" role="presentation">Industry/Government Paper Submission: We invite original industry papers that have not been previously published and are not currently under review for publication elsewhere. At least one
co-author must be affiliated with industry or Government organizations, such as labs in DoE, DoD, NIH, NSA Labs. Papers submitted to Regular or Industry/Gov track should be no longer than 10 pages in the standard two column IEEE proceedings format,
<a href="https://urldefense.com/v3/__https://www.ieee.org/conferences_events/conferences/publishing/templates.html__;!!FjuHKAHQs5udqho!L3Cz4AQwaA6Vk7jfkxcVqRPKWdfY2XS53QdFQF9F7C37ZDp5f_YZjMnTa_DBhqWyEiVrcbmBJ-zRNZbELRdZR9IDarN14RyLGKAO$" id="OWAf62bab81-5122-f5d1-41d8-f0b47f824c36" class="x_x_x_OWAAutoLink" data-auth="NotApplicable" style="text-decoration: none; border-radius: 0px;">
IEEE Manuscript Templates for Conference Proceedings</a>. The papers should be submitted at the industry/gov track of the conference in
<a href="https://easychair.org/conferences/?conf=ieeecogmi2026" title="https://easychair.org/conferences/?conf=ieeecogmi2026">
EasyChair</a>.</span></li></ul>
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<span style="background-color: rgb(255, 255, 255);"><b>Workshops Proposals</b><br>
</span><span style="font-size: 12pt;">Proposals for half-day or full day workshops that focus on IEEE CogMI 2026 related themes are solicited. Workshop proposals should be at most 6 pages, including a biographical sketch of each instructor, and submitted to
<a href="https://easychair.org/conferences/?conf=ieeecogmi2026" title="https://easychair.org/conferences/?conf=ieeecogmi2026">
EasyChair</a>.</span></div>
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<span style="background-color: rgb(255, 255, 255);"><b>Panels Proposals<br>
</b></span><span style="font-size: 12pt;">Proposals for panel discussions that focus on future visions relevant to Cognitive Machine Intelligence are preferred. Potential panel organizers should submit a panel proposal of at most five pages, including biographical
sketches of the proposed panelists to the Panel Chairs.</span></div>
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<span style="background-color: rgb(255, 255, 255);"><b>Tutorials Proposals<br>
</b></span><span style="font-size: 12pt; background-color: rgb(255, 255, 255);">Proposals for full and half-day tutorials are solicited. Tutorials are intended to enhance the technical program, and as such, they should be relevant to the conference-related
themes. Potential tutorial presenters should submit a tutorial proposal of at most three pages, including a description of the potential audience and background knowledge expected from the audience, if any; tutorial description; biographical sketch(s) of presenter(s).</span></div>
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<span style="background-color: rgb(255, 255, 255);"><br>
<b>Review Policy<br>
</b>IEEE Policy and professional ethics require that referees treat the contents of papers under review as privileged information not to be disclosed to others before publication. It is expected that no one with access to a paper under review will make any
inappropriate use of the special knowledge, which that access provides. Contents of abstracts submitted to conference program committees should be regarded as privileged as well, and handled in the same manner. The Conference Publications Chair shall ensure
that referees adhere to this practice.<br>
<br>
Organizers of IEEE conferences are expected to provide an appropriate forum for the oral presentation and discussion of all accepted papers. An author, in offering a paper for presentation at an IEEE conference, or accepting an invitation to present a paper,
is expected to be present at the meeting to deliver the paper. In the event that circumstances unknown at the time of submission of a paper preclude its presentation by an author, the program chair should be informed on time, and appropriate substitute arrangements
should be made. In some cases it may help reduce no-shows for the Conference to require advance registration together with the submission of the final manuscript.</span></div>
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<span style="background-color: rgb(255, 255, 255);"><b>Awards<br>
</b></span><span style="font-size: 12pt; background-color: rgb(255, 255, 255);">IEEE CogMI will feature a Best Paper award and a Best Student Paper award (to be selected by the program committee/best paper award team). A paper is eligible for the Best Student
Paper award if the first author is a full-time student at the time of submission. A partial travel grant or cash award may be offered to the winner student depending on fund availability.</span></div>
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<span style="background-color: initial;"><b>Program Co-Chairs</b></span></div>
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<span style="background-color: initial;">Jerry Jialie Shen, University of London, UK</span></div>
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<span style="background-color: initial;">Amarda Shehu, George Mason University, USA</span></div>
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<span style="background-color: initial;">Reza Zafarani, Syracuse University, USA</span></div>
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