Scientific Domains

INESCC believes that strategic, research-driven collaborations are key to driving meaningful change. By fostering interdisciplinary excellence, INESCC integrates collaboration, scientific innovation, and applied research to create a lasting impact on society and promote a more sustainable future. Our efforts are focused on key application areas, including:

Communications Network Design

Use of advanced routing and robust design for network survivability, enhancing efficiency, reliability, and scalability, ensuring connectivity and resilience.

Computational Structural Engineering

Development of innovative methodologies of nonlinear analysis, numerical methods for large-scale systems, advanced simulation, ensuring structural integrity and resilience for informed decision-making in engineering projects.

Decision Support Systems and Methodologies

Development of mathematical programming and artificial intelligence approaches, especially considering computational optimization and nature-inspired algorithms, for hard combinatorial multiobjective/multilevel optimization under uncertainty.

Geospatial Data Analytics

Collection of geospatial data via in-situ technologies, remote sensing, and crowdsourcing; processing and integrating geospatial data into information systems and conducting data analysis for extraction of actionable insights in diverse domains, such as environmental monitoring (fires, coastal litter) and digital preservation of cultural heritage.

Intelligent Manufacturing Systems and Automation

Industry 5.0, manufacturing, and automation, dealing with topics as industrial process automation, digital twins, and AI techniques to design autonomous systems, integrated in the Smart Factory lab.

Spatial Decision Support Systems for Regional and Urban Planning

Optimizing with geographical data for network operational efficiency and strategic infrastructure location to enhance liveability, sustainability, and resilience, fostering smarter communities.

Sustainable Energy Systems and Policy

Designing policies and technologies for efficient energy use, integration of renewables, and system resilience, advancing a cleaner, sustainable energy future (energy efficiency, demand response, electricity markets, quality of service, electric mobility).

Water Resources Planning and Management

Optimal design and operation of water distribution networks and drainage systems, computational intelligence in water resources, and the water-energy nexus.