The International Conference on Innovations in Computational Intelligence (ICICI-2026) invites researchers, scholars, industry professionals, and practitioners from across the globe to submit their original and unpublished research papers. The conference will focus on advancements in computational techniques with a particular emphasis on artificial intelligence, machine learning, and other cutting-edge technologies. The final accepted papers will be considered for presentation in hybrid mode. All the accepted and presented papers will be submitted to IEEE Xplore (Scopus Indexed) for possible inclusion through IEEE CIS.

ICICI-2026 offers a platform for the exchange of ideas and dissemination of innovative research across a variety of tracks. Contributors are invited to submit their work under the following seven tracks:

All the accepted, registered, and presented papers will be submitted to IEEE Xplore (Scopus Indexed) through IEEE Computational Intelligence Society (CIS) for possible inclusion.

Track 1: Artificial Intelligence and Machine Learning

This track focuses on the latest developments in AI and machine learning algorithms, methodologies, and applications.

Deep Learning and Neural Networks
Reinforcement Learning
AI in Healthcare
Transfer Learning
Machine Learning for Autonomous Systems
Explainable AI
AI for Natural Language Processing
Ethical AI and Fairness
AI in Robotics
AI for Edge and Cloud Computing

Track 2: Data Science and Big Data Analytics

This track explores methods and technologies that help analyze, manage, and extract insights from large datasets.

Predictive Modeling
Big Data Frameworks and Platforms (Hadoop, Spark)
Data Visualization Techniques
Data Mining and Knowledge Discovery
Big Data in Healthcare
Real-time Data Processing
Sentiment Analysis and Opinion Mining
Data Cleaning and Preprocessing
Data Privacy and Security in Big Data
Machine Learning on Large-scale Data

Track 3: Internet of Things (IoT) and Smart Systems

This track focuses on smart systems and IoT applications across various industries.

IoT Architectures and Frameworks
Smart Cities and Infrastructure
Edge Computing and IoT
Sensor Networks and Data Management
IoT for Healthcare and Wearables
Industrial IoT Applications
Security in IoT Networks
AI in IoT Systems
Smart Agriculture and Environment Monitoring
Connected Vehicles and Autonomous Systems

Track 4: Cybersecurity and Cryptography

This track addresses emerging challenges in ensuring data security, privacy, and integrity in modern computational environments.

Cryptography and Encryption Techniques
Intrusion Detection and Prevention Systems
AI and Machine Learning for Cybersecurity
Blockchain and Distributed Ledger Technologies
Security in Cloud Computing
Cybersecurity in IoT Systems
Threat Modeling and Risk Analysis
Post-Quantum Cryptography
Secure Software Development Lifecycle (SSDLC)
Cyber-Physical System Security

Track 5: Natural Language Processing

This track covers advances in understanding, generating, and processing human language using computational methods.

Large Language Models (LLMs)
Machine Translation
Speech Recognition and Synthesis
Question Answering Systems
Information Extraction and Retrieval
Text Summarization
Named Entity Recognition (NER)
Sentiment Analysis
Chatbots and Conversational AI
Multilingual NLP

Track 6: Computer Vision

This track explores techniques enabling machines to interpret and understand visual information from the world.

Image Classification and Recognition
Object Detection and Tracking
Facial Recognition
Image Segmentation
Video Analysis
3D Vision and Reconstruction
Medical Image Analysis
Autonomous Vehicles and Vision Systems
Augmented and Virtual Reality
Generative Models for Images

Track 7: Computational Intelligence

This track focuses on nature-inspired algorithms and intelligent systems for solving complex problems.

Neural Networks
Fuzzy Logic Systems
Evolutionary Algorithms
Swarm Intelligence
Genetic Programming
Hybrid Intelligent Systems
Neuro-Fuzzy Systems
Particle Swarm Optimization
Ant Colony Optimization
Artificial Immune Systems

Track 8: Interdisciplinary Applications

This track encourages submissions that apply computational intelligence to diverse fields and cross-disciplinary research.

AI in Healthcare and Medicine
Computational Social Sciences
AI in Education
Environmental Monitoring and Climate Modeling
Smart Agriculture
AI in Finance and Economics
Computational Biology and Bioinformatics
AI for Sustainability
Human-Computer Interaction
AI Ethics and Policy