Conference Poster

ICICI 2026

Share your unpublished work with IEEE and gain
visibility among leading researchers, experts, and
innovators.

Call for Papers

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Share your unpublished work with IEEE and gain
visibility among leading researchers, experts, and
innovators.

Share Your Research
With The World

CALL FOR PAPERS

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researchers, scholars, industry professionals, and practitioners from across the globe to submit their original and unpublished research papers.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