Accepted Papers | IEEE CogMI 2026

IEEE CogMI 2026

The 8th IEEE International Conference on Cognitive Machine Intelligence

Embassy Suites by Hilton Milpitas Silicon Valley, Nov. 4-6, 2026, San Jose, CA, USA

Co-located with IEEE CIC 2026, IEEE TPS 2026, IEEE RISC 2026

IEEE CogMI 2026 Research Track

  • Agreeing on the Answer but Not the Reason: Measurement Limits of LLM Reasoning Failure Taxonomies
    Madhu Sudhan Rao Beesetty
  • Composability and Profitability Boundaries of Temporal–Distributed Parallelism for Scalable Brain-Inspired Spiking Neural Networks
    Yunfei Chen, Hong Shi, Zhenyu Zhang
  • Diagnosing the Synthetic-to-Real Gap in Small VLMs for Deployable Flood Monitoring
    Kunal Chevuri, Angel Peredo, Sergei Chuprov
  • Trust Under Attack: Adversarial Security Analysis of GDPR-Oriented RAG Assistants
    Manjil Ghimire, Lopamudra Praharaj, Md Sadun Haq, Maanak Gupta
  • When Explanations Explain Themselves: Recursive Behavioral Drift and Behavioral Fixed-Point Training for Sparse Autoencoders
    Sajib Hossain
  • Cerno: A Declarative Language for Knowledge-Guided Image Analysis with Guaranteed Dispatch or Refusal
    Hasan Jamil
  • EpiWarrant: Defeasible Learner-Knowledge Attribution
    Hasan Jamil
  • A Two-Layer Event Memory with Reconstruction-Aware Forgetting
    Artur Kalimullin
  • Governance-Aware Cognitive Orchestration for Human-Supervised Cybersecurity AI Systems
    Andrei Kojukhov
  • Selective Reconsolidation in Persistent Agent Memory
    Pranava Kumar, Sushaan Kandukoori, Manolis Kellis
  • Multimodal Prediction of Student Belonging Using EEG Responses to Mindset-Based Stimuli in Computing Education
    Andrew Martinez, Meora Giusiano, Joel Saju Puthankalam, Pallavi Das, Zoe Wood, Julie Bettergarcia, Sumona Mukhopadhyay
  • Interventional Semantic Interface Gradients: Evaluating Interface-Conditioned Robustness in Language Models
    Dominic Okonkwo, Adetayo Okunoye, Ismailcem Arpinar
  • The Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection
    Raj Patel, Shaswata Mitra, David Amebley, Taye Akinrele, Sayanton Dibbo, Shahram Rahimi
  • Multi-Judge Consensus Scoring for IRT-Based Adaptive LLM Evaluation
    Omkar Podey, Philip Heller, Wendy Lee, Amith Kamath Belman
  • Platoon-RAG: Consensus-Driven Multi-Agent Retrieval-Augmented Generation via Semantic Headway Optimization
    Naveen Kumar Rajarajan
  • Self-Supervised Temporal Convolutional Network Modeling of Eye Gaze Reveals Implementation Strategies in Proactive Cognitive Control
    Jason Reimer, Dylan Diaz, Vishwa Bhatt, Jonathan Martinez, Jennifer Jin, Kevin Rosales
  • AXIOS: Preserving Vertical Federated Learning Model Integrity via Decentralized Training-Time Anomaly Detection
    Ella Roundy, Timothy Gurevich, Dylan Gresham, Gaby Dagher
  • Evaluating Design Guidelines for Social Robots: Connecting People and Building Relationships
    Daniel Saba, Kathryn Degnan, Michael Baggot, Jeffrey W. Herrmann
  • The Silicon Meridian: If LLMs Can Speak Like Us, Can They Decide Like Us?
    Vibha Santhanakrishnan
  • Measurement Invariance Between Human and Machine Respondents on Cognitive Assessments
    Mohammad Hamza Siddiqui
  • Explainable Novel Category Discovery in Semantic Concept Space
    Ifrat Ikhtear Uddin, Yang Zhou, Chaowei Zhang, Longwei Wang
  • AgentGuard: Calibrated Failure Detection and Risk-Aware Routing for Multi-Agent LLM Workflows
    Xiaoliang Zhang

IEEE CogMI 2026 Application Track

  • Leveraging an LLM-Based Evaluator with Code Analysis for Student Code Evaluation
    Hadel Alhawasi, Abdou Youssef
  • Cognitive Stability of Chain-of-Thought Reasoning in Large Language Models Under Semantic Perturbation
    John Kingsley Arthur, Eric Appiah Mantey, Adu Baffour, Michael Kelly Osei, Dominic Dalyngton Damoah
  • AWARE-RG: Abstraction Aware Explanation of Resiliency Graphs for Cyber Physical Systems
    Shadaab Kawnain Bashir, Rakesh Podder, Philip D. Hopkins, Sarath Sreedharan, Indrakshi Ray, Indrajit Ray
  • Does AI Benefit Measure the User? Case-Level Persistence and Construct Validity of Person-Specific AI Assistance Effects
    João Borges
  • Declarative Smart Image Analysis: From Analytical Intent to Verified Execution with CERNŌ
    Moumita Chanda, Alexander Maas, Hasan M. Jamil
  • How Explanation Intent Shapes Human Use of XAI for Neural-Network Predictions
    Muhammad Umair Danish, Memoona Aziz, Umair Rehman, Katarina Grolinger
  • An Accurate and Efficient Two-Stage Framework for Gun Detection in Videos
    Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
  • CascadeAuth: Separating the Resource Knob from the Decision Boundary in Risk-Adaptive Authorization Cascades
    Lovina Dmello
  • Cheap to Verify, Expensive to Fix: Deterministic Structural Verification as a Routing Signal for Matched-Cost VLM Table Extraction
    Michael Hamaty, Amith Kamath Belman
  • When Can a System Trust Its Own Disagreement? Characterizing a Multimodal Affective Signal
    Benjamin Hurt
  • Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning
    Srivalli Katkuri, Maxwell Kawada, Juan Wachs
  • Loud Failures, Quiet Failures: Fault Detection and Recovery in Tool-Using Language Model Agents
    Obada Kraishan
  • The Long Road to the Same Answer: Cognitive Bias Under Escalating Reasoning Budgets in Large Language Models
    Obada Kraishan
  • Toward Voice-Driven Edge Intelligence: Lightweight LLM Deployment for Interactive Application Generation
    Hyun Suk Nam, Andrew Lee
  • Generalization-Aware and Explainable AI for EEG-Based ADHD Classification
    Nazia Natasha, Stephen Gravereaux, Akash Pedapaga, Sammed Admuthe, Sheikh Rabiul Islam
  • From Macro to Micro: Intent-Aware Micro-Assessment Generation
    Aashish Pandey, Ram Dantu
  • Neuro-Symbolic Graph Reasoning for Explainable Medical Image Retrieval
    Divyesh Patel, Rishab Darshan Shylendra, Piyush Gulhane, Pavithran Gnanasekaran, Alina Vereshchaka
  • Adaptive Transformer Neural Architecture Search via Federated Reinforcement Learning and Distillation-Based Architecture Evaluation
    Sudha Pelluri, Navya Chilaka, Preethi Taralpalli
  • When Gold Labels Move: Evidence-State Heterogeneity and Oracle Sensitivity in Multi-Source LLM Evaluation
    Byungsik Seo
  • Measuring Compositional Reasoning in Deployable LLMs on Financial Payoffs with Risk-Decomposed Mispricing
    Varun Viswapriyan
  • HIPQ-R: Interface-Sensitive Risk-Constrained Compression of Hybrid ANN–SNNs for Resource-Constrained Neuromorphic Perception
    Xueyi Wang, Zhenyu Zhang

Ordering by last name of the first author alphabetically.