12th International Conference of Control Theory and Computer Modelling (CTCM 2026)

Memo

12th International Conference of Control Theory and Computer Modelling (CTCM 2026) August 22 ~ 23, 2026, Dubai, UAE https://csen2026.org/ctcm/index Scope The 12th International Conference of Control Theory and Computer Modelling (CTCM 2026) serves as a premier global forum for presenting cutting edge advances, innovative research, and emerging applications in control theory, intelligent systems, scientific modelling, and cyber physical technologies. CTCM 2026 brings together leading researchers, engineers, practitioners, and scientists from around the world to exchange ideas, discuss breakthroughs, and explore the future of dynamic systems, automation, optimization, and computational modelling.As control systems and computational models increasingly shape modern engineering, robotics, autonomous systems, energy networks, and large scale cyber physical infrastructures, CTCM 2026 provides a vital platform for addressing the challenges and opportunities of this rapidly evolving landscape. The conference welcomes contributions spanning advanced control theory, learning enabled control, scientific machine learning, digital twins, optimization, robotics, industrial automation, and emerging application domains such as smart cities, climate systems, biomedical engineering, and quantum technologies. Topics of interest include, but are not limited to, the following: Advanced Control Theory, Dynamics & Safety Critical Control Modern Control Theory Linear & Nonlinear Control Systems Robust, Adaptive & Fault Tolerant Control Optimal & Model Predictive Control (MPC) Stochastic Control, Filtering & Estimation Sliding Mode & Variable Structure Control Hybrid, Switched & Event Triggered Control Distributed, Decentralized & Cooperative Control Control Barrier Functions & Lyapunov Based Methods Formal Verification of Control Systems Reachability Analysis & Safe Controller Synthesis Safety Critical & Certified Control Learning Enabled, Data Driven & AI Integrated Control Learning Based & Data Driven Control Reinforcement Learning for Control Safe Reinforcement Learning Verified & Certifiable Learning Enabled Controllers Explainable & Interpretable AI Driven Control Hybrid Model Based / Model Free Control Differentiable Control & Differentiable Physics Foundation Models for Control & Robotics Cyber Physical Systems, Autonomous Systems & Robotics Control Cyber Physical Systems (CPS) Networked & Communication Constrained Control Autonomous Vehicles, Drones & Robotics Control Whole Body Control & Legged Robotics Manipulation, Grasping & Contact Rich Control Sim to Real Transfer & Domain Randomization Multi Agent Systems, Swarm Control & Coordination Human Robot Interaction & Shared Autonomy Secure, Resilient & Attack Aware Control Optimization, Scientific Computing & Modelling Convex, Non Convex & Distributed Optimization Optimization & Optimal Control Numerical Analysis & Scientific Computing High Performance & Parallel Computing for Control Digital Twins & Physics Informed Modelling Physics Informed Neural Networks (PINNs) Scientific Machine Learning (SciML) Multi Fidelity & Hierarchical Modelling Surrogate Modelling & Reduced Order Models System Identification & Parameter Estimation Uncertainty Quantification & Robust Modelling Mathematical Modelling of Complex Systems Intelligent, Soft Computing & Bio Inspired Control Neural Networks & Deep Learning for Control Fuzzy Logic & Fuzzy Control Evolutionary Computing & Genetic Algorithms Swarm Intelligence & Bio Inspired Control Hybrid AI Control Architectures Industrial Automation, Process Control & Smart Systems Process Control & Instrumentation Industrial Automation & Smart Manufacturing Fault Detection, Diagnosis & Isolation Predictive Maintenance & Condition Monitoring SCADA, PLCs & Industrial Control Systems Energy Systems, Power Grids & Microgrid Control Smart Grid Control & Energy Optimization Critical Infrastructure Control & Resilience Applications of Control & Modelling in Emerging Domains Agriculture, Environment & Climate Systems Climate Engineering, Carbon Capture & Sustainability Control Healthcare, Biomedical & Physiological Control Smart Cities, IoT & Infrastructure Control Aerospace, Space & Defense Applications Marine, Automotive & Transportation Systems Quantum Control, Quantum CPS & Error Correction Social Systems, Opinion Dynamics & Network Influence Human Behavior Modelling & Cognitive Control   Paper Submission Authors are invited to submit papers through the conference Submission System by June 27, 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). Selected papers from CTCM 2026, after further revisions, will be published in the special issue of the following journal. The International Journal of Control Theory and Computer Modelling (IJCTCM) International Journal of Information Technology, Control and Automation (IJITCA) International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) The International Journal of Information Technology, Modeling and Computing (IJITMC) Important Dates Submission Deadline: June 27, 2026 Authors Notification: July 25, 2026 Registration & camera – Ready Paper Due: August 01, 2026   Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.