Topics of interest include, but are not limited to:

TRACK 1 – Control, Automation & Robotics
This track focuses on the theory, design, and applications of advanced control, automation, and robotic systems that drive innovation across industries. Key areas include:

• Classical and modern control techniques: PID, state-space, LQR, H∞, and LMI-based methods.
• Robust and adaptive control: Handling uncertainties, nonlinearities, and dynamic variations in complex systems.
• Predictive and optimal control: Model Predictive Control (MPC) for industrial processes, energy systems, and autonomous vehicles.
• Signal processing for control and automation: Sensor fusion, filtering, estimation, system identification, and real-time data analytics.
• Industrial automation and smart factories: PLCs, SCADA systems, cyber-physical integration, and Industry X.0 applications.
• Robotics: Mobile, collaborative, humanoid, and assistive robots; motion planning, trajectory optimization, and human-robot interaction.
• Autonomous systems: Drones, UAVs, self-driving vehicles, and intelligent agents in dynamic environments.
• Cyber-physical and networked control systems: Multi-agent coordination, distributed control, and resilient control architectures.

TRACK 2 – Optimization, Artificial Intelligence & Smart Systems
This track addresses algorithms, data-driven methods, and intelligent system design for optimal performance and decision-making. Key areas include:

• Mathematical optimization: Linear, nonlinear, integer, multi-objective, and stochastic optimization techniques.
• Machine learning and AI applications: Supervised, unsupervised, deep learning, reinforcement learning, and hybrid AI-control frameworks.
• Smart systems and digital twins: Real-time monitoring, simulation, predictive maintenance, and optimization in cyber-physical systems.
• Scheduling and resource management: Optimal task allocation, logistics, and operations planning for industrial, healthcare, and transportation systems.
• Decision support and predictive analytics: AI-assisted modeling, forecasting, anomaly detection, and data-driven control.
• Autonomous and intelligent systems: Self-learning robots, intelligent transportation systems, and adaptive networks.

TRACK 3 – Energy & Sustainable Systems
This track explores sustainable energy solutions, smart management, and energy-efficient technologies for a greener future. Key areas include:

• Renewable and hybrid energy systems: Solar, wind, hydro, biomass, and integrated hybrid solutions.
• Smart grids and microgrids: Advanced energy management, demand response, and grid resilience.
• Energy optimization and storage: Battery management, energy storage systems, and efficient energy dispatch strategies.
• Sustainable transportation and mobility: Electric and hybrid vehicles, charging infrastructure, and energy-efficient logistics.
• Building and urban energy systems: Smart buildings, energy-efficient HVAC, lighting, and urban energy planning.
• Environmental monitoring and green technologies: Low-carbon solutions, IoT-enabled monitoring, and pollution reduction systems.

Main Fields of Applications:

• Industrial Systems and Manufacturing
• Energy Systems
• Healthcare and Medical Systems
• Transportation and Mobility
• Urban and Environmental Systems
• Robotics and Autonomous Systems
• Cyber-Physical and Digital Systems
• Emerging applications related to control, optimization, energy, and smart systems