Comp 2025

Innovative Perspectives on Computational Intelligence and Data Science

October 22 - 24, 2025, Cluj-Napoca, Romania

Call for Papers

We are pleased to invite you to the InnoComp 2025 — Innovative Perspectives on Computational Intelligence and Data Science, held from October 22 to 24, 2025, in Cluj-Napoca, Romania.

InnoComp is an international conference that brings together researchers, practitioners, and thought leaders from academia, industry, and government to explore cutting-edge advancements and emerging challenges in the dynamic fields of computational intelligence and data science.

The conference covers a spectrum of topics, including artificial intelligence, intelligent systems and data science, ensuring a holistic view of the rapidly evolving technological landscape. We strongly encourage PhD Students and Postdocs to participate. Attendees will be able to engage with leading experts through keynote speeches, panel discussions, hands-on workshops, and poster presentations.

Several Special Issues in ISI Clarivate indexed journals will be organized for selected papers presented in the conference. Join us as we explore the challenges and opportunities shaping the future of our digital world.

InnoComp proceedings will be published by Springer in a special volume of Communications in Computer and Information ScienceThe series publishes quickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of CCIS.

Download CfP Research Projects Panel

Tracks and Topics

  1. Computational Intelligence
    • Metaheuristics
    • Evolutionary Computation
    • Swarm Intelligence
    • Trustworthy, Explainable and Responsible Computational Intelligence
    • Computer Vision
    • Machine Learning and Deep Learning
    • Machine Learning assisted Heuristics
    • Trustworthy Machine Learning
    • Natural Language Processing
    • Fuzzy systems
    • Generative Artificial Intelligence
  2. Data Science
    • Knowledge Discovery and Data Mining
    • Data Analysis and Pattern Recognition
    • Big Data Analytics
    • Data Modelling and Complex networks
    • Knowledge Engineering and Management
  3. Intelligent Systems
    • Advanced Control Strategies
    • Robotics and Robots
    • Intelligent Control and Manufacturing
    • Bio-engineering and Bio-technologies
    • Human Machine Interfaces
    • Intelligent Engineering Systems
  4. Applications
    • Combinatorial, Multi-Objective and Constrained Optimization
    • Nature-inspired Computing in Dynamic and Uncertain Environments
    • Computational Intelligence in Engineering
    • Prediction and Estimation in Software Development, Processes, and Evolution
    • Computational Intelligence for Energy, Transport and Environment Sustainability
    • Computational Intelligence in Health and Medicine
    • Computational Intelligence in Cybersecurity
    • Computational Intelligence for Smart and Sustainable Cities
    • Artificial Intelligence for IoT Applications

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