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EMSSE & Young research Session
EMSSE & Young research Session
A special session dedicated to EMSSE & young researchers: master's and Ph.D. students
Systemic Resilience in Territorial Nexuses: Optimizing Energy, Mobility, and Logistics for Sustainability
Systemic Resilience in Territorial Nexuses: Optimizing Energy, Mobility, and Logistics for Sustainability
Sustainability is no longer a localized metric but a systemic property of interconnected infrastructures. This session focuses on Systems Engineering as a tool to harmonize the friction between energy consumption, transport logistics, and territorial management. We invite papers that propose holistic optimization frameworks for rural-urban transitions, focusing on how smart mobility and energy microgrids can be engineered as a single, resilient "System-of-Systems." Topics of Interest include, but are not limited to: • Smart Logistics & Transport: AI-driven route optimization for perishable goods, "Last Mile" solutions in rural contexts, and decarbonization of the agricultural supply chain. • Energy Systems: Management of renewable energy microgrids, Vehicle-to-Grid (V2G) integration for electric farm fleets, and energy-aware scheduling in processing plants. • Systems Engineering & Optimization: Multi-objective optimization for resource allocation, Model-Based Systems Engineering (MBSE) for territorial planning, and Life Cycle Assessment (LCA) of complex infrastructures. • Mobility as a Service (MaaS): Shared mobility models for rural communities and the integration of autonomous transport into existing logistics networks. • Control & Operations Research: Stochastic modeling of supply chain disruptions and real-time control of integrated energy-transport systems. • ICT Platforms and software engineering: ICT methods and tools to support sustainability
Cyber-Physical Architectures in Smart Farming: Integrating AI and Control for Autonomous Bio-Production
Cyber-Physical Architectures in Smart Farming: Integrating AI and Control for Autonomous Bio-Production
As agricultural environments evolve into complex, data-driven ecosystems, the integration of Cyber-Physical Systems (CPS) becomes the backbone of modern production. This session invites original research that bridges the gap between high-level Artificial Intelligence and low-level mechanical execution. We seek contributions that address the software engineering challenges of building robust, scalable, and autonomous agritech stacks. Topics of Interest include, but are not limited to: • AI & Machine Learning: Deep learning for pest/disease phenotyping and Reinforcement Learning for autonomous navigation in unstructured terrains. • Control Theory: Distributed control systems for heterogeneous robot swarms and adaptive control for variable-rate application. • Software Engineering: Formal methods for mission-critical agritech software, interoperability standards (ISO 11783/ISOBUS), and edge-to-cloud middleware. • Digital Twins: Modeling and simulation of biological systems for real-time predictive maintenance and yield optimization. • Human-Robot Collaboration: Safety-critical systems and UI/UX design for farm-level supervisory control.
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