Welcome to CMCA 2026

15th International Conference on Control, Modelling, Computing and Applications (CMCA 2026)

April 25 ~ 26, 2026, Copenhagen, Denmark

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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Copenhagen, Denmark

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Scope

The 15th International Conference on Control, Modelling, Computing and Applications (CMCA 2026) provides a leading international forum for the presentation and exchange of state of the art research, innovative methodologies, and emerging trends in control engineering, advanced modelling, intelligent computing, and their diverse applications. As engineering systems become increasingly autonomous, interconnected, and data driven, CMCA 2026 brings together researchers, industry professionals, and practitioners to address the challenges and opportunities of next-generation control strategies, computational approaches, and modelling frameworks that are shaping the future of intelligent systems and engineering practice.

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Call for Papers


The conference fosters collaboration between academia and industry, encouraging the exchange of ideas that drive innovation in areas such as cyber physical systems, AI enabled control, digital twins, autonomous systems, smart manufacturing, and sustainable technologies. CMCA 2026 provides a dynamic environment for establishing new partnerships, identifying emerging challenges, and advancing the state of the art in theory and real world applications.

Authors are invited to submit original research articles, case studies, survey papers, and industrial experiences that demonstrate significant advances, novel approaches, or impactful applications in the following areas, but not limited to:

Topics of interest include, but are not limited to, the following


    Advanced Control and Automation
    • Adaptive and Learning-Based Control
    • Nonlinear, Robust, and Predictive Control
    • Distributed and Networked Control Systems
    • Cyber Physical Systems Control
    • Autonomous Systems and Self Driving Technologies
    • Human–Robot Interaction and Collaborative Robotics
    • Intelligent Control and Reinforcement Learning

    Modelling, Simulation, and Systems Engineering
    • Digital Twins and Virtual Prototyping
    • Physics Informed Machine Learning for Modelling
    • Large Scale and Multi Agent System Modelling
    • Uncertainty Quantification and Stochastic Modelling
    • High Performance and Cloud Based Simulation
    • Modelling in Climate, Energy, and Environmental Systems

    Computing, Algorithms, and Optimization
    • Quantum Computing for Control and Optimization
    • Evolutionary Algorithms and Swarm Intelligence
    • Metaheuristic Optimization and Multi Objective Optimization
    • Edge, Fog, and Cloud Computing Architectures
    • High Performance Scientific Computing
    • Algorithmic Foundations of AI and Machine Learning

    Machine Learning, AI, and Data Driven Systems
    • Deep Learning for Control and Automation
    • Data Driven Modelling and System Identification
    • AI Enabled Fault Detection, Diagnosis, and Prognostics
    • Big Data Analytics and Intelligent Decision Systems
    • Explainable and Trustworthy AI in Control Applications

    Signal, Image, and Vision Systems
    • Advanced Signal Processing and Sensor Fusion
    • Computer Vision for Robotics and Automation
    • Remote Sensing and Surveillance Systems
    • Biomedical Signal and Image Processing
    • 3D Vision, SLAM, and Perception Systems

    Embedded, Networked, and IoT Systems
    • Embedded and Real Time Control Systems
    • Internet of Things (IoT) and Industrial IoT
    • Wireless Sensor Networks and Smart Instrumentation
    • Secure and Resilient Control Architectures
    • Edge AI and On Device Intelligence

    Applications in Science, Engineering, and Industry
    • Aerospace, Automotive, and Transportation Systems
    • Smart Manufacturing and Industry 4.0
    • Energy Systems, Smart Grids, and Renewable Integration
    • Healthcare, Medical Devices, and Assistive Technologies
    • Robotics, Drones, and Autonomous Vehicles
    • Space Systems, Guidance, and Navigation

    Emerging and Cross Disciplinary Topics
    • Bio Inspired and Neuromorphic Computing
    • Quantum Sensors and Quantum Control
    • Ethical, Legal, and Societal Implications of Autonomous Systems
    • Sustainable Engineering and Green Technologies
    • Hybrid Systems and Discrete Event Systems
    • Multi Domain and Interdisciplinary Engineering Applications

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 01, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors