The science of
intelligent, sustainable
decision-making.
NEDMIL connects scholars and practitioners across six continents to advance prescriptive analytics, simulation-optimization, and applied AI for logistics, infrastructure, and public policy.
An international lab, not a department.
NEDMIL is a living network, not a single institution — scholars and practitioners collaborating across six continents on a shared conviction: that today's hardest problems demand rigor and cooperation in equal measure. Members investigate the theoretical foundations and emerging paradigms of next-generation decision-making, in service of a more intelligent and sustainable world.
From dock schedules to marine corrosion, NEDMIL turns optimization and AI into decisions that hold up in the real world. Members build digital twins for Industry 4.0, apply reinforcement learning to planning under uncertainty, and bring prescriptive analytics to logistics, industrial and marine engineering, and sustainable infrastructure — turning theory into resilience, efficiency, and responsibility for the systems the world depends on.
- AI-powered decision support systems for logistics, supply chains, and sustainable production planning
- Simulation–optimization frameworks for resilient, adaptive, and environmentally responsible systems
- Prescriptive analytics for strategic, tactical, and operational decision-making under uncertainty
- Applied AI in smart infrastructure, marine systems, corrosion intelligence, and sustainable resource management
- Cross-disciplinary integration of computational intelligence, behavioral decision theory, and materials science
Three lines of inquiry.
AI-Powered Prescriptive Analytics & Decision Intelligence
Building AI- and optimization-driven frameworks to support real-time strategic, tactical, and operational choices.
- Hybrid AI-OR prescriptive models
- Reinforcement learning for planning under uncertainty
- Multi-objective trade-off optimization
- AI dashboards for Industry 4.0
Digital Twins & Industry 4.0 Optimization
Using IoT data, digital twins, and simulation-optimization to enhance resilience and efficiency in Industry 4.0 ecosystems.
- Digital twin optimization for logistics and production
- IoT-driven predictive analytics for operations
- Cyber-physical systems optimization and control
- Real-time resilience in smart factories and supply chains
Applied AI for Sustainability & Societal Systems
Applying AI and decision analytics to design resilient systems in energy, healthcare, agriculture, and infrastructure.
- AI-driven energy and resource optimization
- Sustainable logistics and circular economy design
- Healthcare decision support with predictive AI
- Climate risk management and adaptation
Active & recent work.
SOCORRO
Seeking Out Corrosion, Before It Is Too Late — a multidisciplinary initiative combining sensing, data analytics, AI, and decision support to move corrosion management from reactive to proactive.
Cloud-Based River Water Level Monitoring System
A cloud-enabled water level monitoring and early-warning system using long-range cameras and automated analytics to improve flood prediction and environmental safety.
Intelligent Safety Video Surveillance for Static Electricity Grounding Points
An AI-powered video surveillance system that detects unsafe proximity and behavior around static-electricity grounding points in chemical and industrial facilities.
BENMIP — Open-Source Automated Benders Decomposition Solver
An open-source, actively maintained framework for automated Benders decomposition, accelerating large-scale mixed-integer and nonlinear optimization.
Six continents, one consortium.
Members represent leading universities and institutes across South America, Europe, Africa, Asia, and Oceania.
Collaborate with the consortium.
For research collaboration, media inquiries, or general questions — reach the NEDMIL secretariat directly.
Contact NEDMIL