# NEDMIL — Next-Generation Decision Making International Lab

> A global academic research consortium of 21 scholars and practitioners across six continents, advancing decision science, operations research, and applied AI — with active work in prescriptive analytics, digital twins & Industry 4.0, and AI for sustainability (including marine corrosion monitoring).

NEDMIL is not a single institution but a collaborative network. Members represent leading universities and institutes across South America, Europe, Africa, Asia, Oceania, working across three research pillars and 8 named projects.

## Research Pillars

- **AI-Powered Prescriptive Analytics & Decision Intelligence** (AI · OR) — Building AI- and optimization-driven frameworks to support real-time strategic, tactical, and operational choices.
- **Digital Twins & Industry 4.0 Optimization** (DT · I4.0) — Using IoT data, digital twins, and simulation-optimization to enhance resilience and efficiency in Industry 4.0 ecosystems.
- **Applied AI for Sustainability & Societal Systems** (SUS · AI) — Applying AI and decision analytics to design resilient systems in energy, healthcare, agriculture, and infrastructure.

## Members

21 members. Full roster with roles, affiliations, and bios: https://www.nedmil.org/members

- Nelson Maculan — Lead and Honorary Coordinator
- Rahimeh Neamatian Monemi — Coordinator
- Karim Bouamrane — Area Lead (Regional Coordinator)
- Lubin Cui — Area Lead (Regional Coordinator)
- Shahin Gelareh — Area Lead (Regional Coordinator)
- Pedro Gonzalez — Area Lead (Regional Coordinator)
- Rodney Beard — Area Lead (Regional Coordinator)
- Yong Xia — Area Lead (Regional Coordinator)
- Hossein Karimi — Area Lead (Regional Coordinator)
- Yuan Jinyun — Area Lead
- Djamila Hamdadou — Area Lead
- Xinguang Yang — Area Lead
- Yves Van Seters — Stakeholder Engagement & Ecosystem
- Khadidja Yachba — Area Lead
- Kaouter Labed — Area Lead
- Minghui Li — Faculty Member
- Nannan Chen — PhD Student
- Xinru Wang — Researcher
- Bingge Luo — Researcher
- Shujing Yang — PhD Student
- Muyan Li — Researcher

## Research Projects

- [SOCORRO](https://www.nedmil.org/research-projects/socorro) (SOC, Infrastructure) — 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](https://www.nedmil.org/research-projects/cloud-based-river-water-level-monitoring-system) (HYD, Sustainability) — 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](https://www.nedmil.org/research-projects/intelligent-safety-video-surveillance) (VID, Industry 4.0) — 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](https://www.nedmil.org/research-projects/benmip) (OPT, Decision Intelligence) — An open-source, actively maintained framework for automated Benders decomposition, accelerating large-scale mixed-integer and nonlinear optimization.
- [Railway Predictive Maintenance](https://www.nedmil.org/research-projects/railway-predictive-maintenance) (RLY, Infrastructure) — Predictive maintenance for railway infrastructure and rolling stock, combining sensor technologies, AI-driven analytics, and digital twin concepts to forecast failure before it happens.
- [SeaChem](https://www.nedmil.org/research-projects/seachem) (SEA, Sustainability) — Predictive modeling for marine corrosion and environmental monitoring, fusing oceanographic, materials-science, and data-science expertise to forecast corrosion risk in dynamic marine conditions.
- [Advanced Multi-Source Traffic Data Analytics](https://www.nedmil.org/research-projects/advanced-multi-source-traffic-data-analytics) (TRF, Mobility) — Computational frameworks that simultaneously reconstruct missing traffic data and detect anomalous events across multiple urban transportation data sources.
- [Intelligent Urban Traffic Management](https://www.nedmil.org/research-projects/intelligent-urban-traffic-management) (UTM, Mobility) — Adaptive computational frameworks for optimizing traffic flow and transportation network management in dynamic urban environments.

## Publications

64+ publications by NEDMIL members, 2020–2026. Full citation list: https://www.nedmil.org/publications

## Blog

- [NEDMIL: Building the Science of Intelligent and Sustainable Decision-Making](https://www.nedmil.org/blog/nedmil-building-the-science-of-intelligent-and-sustainable-decision-making) — Rahimeh Neamatian Monemi, October 15, 2025
- [Understanding DeepONet: Learning Nonlinear Operators with Neural Networks](https://www.nedmil.org/blog/understanding-deeponet-learning-nonlinear-operators-with-neural-networks) — Muyan Li, November 9, 2025

## Pages

- Home: https://www.nedmil.org/
- Members: https://www.nedmil.org/members
- Research Projects: https://www.nedmil.org/research-projects
- Publications: https://www.nedmil.org/publications
- Blog: https://www.nedmil.org/blog
- Contact: https://www.nedmil.org/contact
- Privacy Policy: https://www.nedmil.org/privacy