ICMI' 2027 (International Conference on Computing and Machine Intelligence) is an academic conference held in Mt. Pleasant, Michigan, USA on 2027-05-01. The paper submission deadline is 2026-12-15. Acceptance notifications are sent on 2027-02-15.
The IEEE 6th International Conference on Computing and Machine Intelligence (ICMI), welcomes papers on broad aspects of AI and Applied Sciences that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty. The conference reports results achieved in addition to proposals for new ways of looking at MI and Computing problems, both of which must include demonstrations of value and effectiveness.
Papers describing applications of MI & Computing are also welcome, but the focus should be on how new and novel MI and Applied Sciences methods advance performance in application areas, rather than a presentation of yet another application of conventional methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an indepth evaluation of the techniques being exploited.
All papers will be peer reviewed by two reviewers and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.
Topics of interest for ICMI Conference, but are not limited to those topics as below.
AI and IoT in sustainability and food security
Smart Precision Farming
Smart Irrigation Systems
Pest and Disease Detection/Prediction
Yield Prediction
Automated green house
Livestock monitoring
Supply Chain Optimization
Alternative Proteins & Lab-Grown Food
Carbon Footprint Reduction
Deforestation & Land Use Monitoring
Sustainable Fisheries
Climate Risk Assessment
Smart Subsidies & Support Systems
Crop Monitoring and early disease detection
Smart Warehousing
Food waste reduction tools
Blockchain for Food traceability
Energy Efficient Data centres
Cybersecurity in smart agriculture
Cyberattack on Agri Supply chain
Artificial Intelligence and Applications
Machine Learning Algorithms and Optimization
Deep Learning and Neural Networks
Natural Language Processing (NLP)
Reinforcement Learning and Decision Making
Computer Vision and Image Understanding
Speech and Audio Processing using AI
AI for Medical Diagnosis and Healthcare
AI in Cybersecurity and Intrusion Detection
Knowledge Representation and Reasoning
Explainable AI and Model Interpretability
Multi-Agent Systems and Swarm Intelligence
AI in Robotics and Autonomous Systems
AI for Smart Cities and Urban Planning
Generative AI and Large Language Models
AI in Finance and Risk Analysis
AI for Education and Personalized Learning
Ethics, Fairness, and Trust in AI Systems
Edge AI and Real-Time Inference
AI in Agriculture and Environmental Monitoring
Hybrid and Neuro-Symbolic AI Approaches
Blockchain & Internet of Things
IoT Services and Applications
Blockchain and IoT Applications
Security and Privacy for IoT
IoT Architecture and Middleware
Context-Awareness and Location-Awareness
Blockchain Protocols
Machine to Machine Communications
Energy Efficiency in IoT
Internet of Medical Things
Smart Sensor Networks and Embedded System
Circuits and Systems for IoT
Industry 4.0 Applications
AI for Industry 4.0
Industry 4.0 Factory
IoT for Industry 4.0
Internet of Services
Smart Manufacturing
Smart Devices and Products
Cyber-physical Systems
Robotic and Automation
Support System for Industry 4.0
Cloud Computing for Industry 4.0
Embedded System Design
Big Data and Cloud Computing
Distributed Computing
Cloud Computing
Big Data Analysis
Big Data Architectures and Management
Big Data in Smart Cities
3D printing
Future of IOT and Big Data
Internet of Things
Smart City Examples and Case Studies
Technological focus for Smart Environments
Vehicle-to-Vehicle
Vehicle-to-Infrastructure
Networking and Security
Advanced Networks
Cross-layer Optimization and Control
Cyber-physical Systems
Data Center Networking
Delay Tolerant Networks
Game Theory in Networks
Smart Communications Systems
Network security and Privacy
Web, Big data and Cloud security
Security Challenges in 5G Networks
AI for Networks Applications
Machine learning and cyber deception
Software Engineering
Web-based software
Object-based Designing
Software economics and metrics
Software evolution and maintenance
Requirements engineering
Reverse engineering
Business Process Modeling
Human-computer interaction
Mobile, ubiquitous, and pervasive software
Model-driven software engineering
End-user software engineering
Green Communications, Computing, and Networking
Energy Harvesting and Wireless Power Transfer
Energy Efficient Wireless Communications and Networking
Energy-aware Communications and Networking
Green Cooperative Communication and Networking.
Cognitive Radio and Networking
Green Wireless Cellular Networks
Energy Efficiency in 5G and Beyond
Millimeter Wave and Terahertz
Green IoT: Green Network Architectures
Green Wireless Sensor Networks
Business Analytics, Decision Intelligence, and Operations Research
Predictive and Prescriptive Analytics
Optimization Models and Algorithms
Decision Intelligence Systems
Simulation and Stochastic Modeling
Supply Chain and Logistics Analytics
Strategic Planning and Performance Analytics
Operations Research in Finance
AI and Machine Learning in Analytics
Risk Analysis and Decision Support
Big Data for Operations Optimization
AI in Education, Linguistics, and Digital Humanities
AI for Personalized and Smart Learning
Virtual and Augmented Reality in Education
Computational Linguistics and NLP
AI-Assisted Literary and Text Analysis
Machine Translation and Language Technologies
Digital Humanities and Cultural Analytics
Intelligent Tutoring and Adaptive Learning
Ethics of AI in Education and Humanities
AI for Cultural and Linguistic Preservation
Data Analytics and Digital Transformation
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