Dr. Noureddine Lakouari | Research Professor

42journal articles

51scientific products

23courses taught / certified

3research projects

4working languages

Profile

From statistical physics to intelligent systems.

A research profile built around mathematical modeling, simulation, data analysis, and artificial intelligence for complex physical, environmental, urban, and social systems.

Dr. Noureddine Lakouari holds a Ph.D. in Computational Physics and specializes in statistical physics, complex systems, computational physics, simulation, and applied artificial intelligence.

His research explores how simple local rules among many interacting agents can produce emergent macroscopic behavior, with applications to traffic congestion, synchronized flow, bottlenecks, accidents, energy dissipation, and pollutant emissions.

Current work connects fundamental science with social, environmental, and technological challenges using cellular automata, mathematical modeling, machine learning, and high-performance computation.

Research areas

Research lines and scientific expertise.

The page highlights the areas most useful for an academic audience, funding committees, graduate students, and international collaborators.

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Statistical Physics

Phase transitions, fluctuations, stochastic processes, and non-equilibrium systems.

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Complex Systems

Emergence, self-organization, collective dynamics, networks, and adaptive systems.

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Cellular Automata

Agent-based and cellular automaton models for traffic, flow, accidents, and emissions.

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Computational Physics

Mathematical modeling, simulation, numerical analysis, and scientific computing.

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Applied AI & Data Science

Machine learning for water quality, health, air pollution, mobility, and pattern recognition.

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Urban Mobility

Vehicle and pedestrian traffic, bottlenecks, roundabouts, smart cities, and emissions.

Projects

Selected research projects and applied directions.

These cards are written like a professor's research website: clear, compact, and focused on scientific value rather than administrative detail.

AI models for COVID-19 mortality and CDMX air pollution

Supercomputing-supported project for predictive modeling of epidemiological, socioeconomic, and environmental data, including time series of Mexico City air pollution.

2024-2025 LNS Machine learning Public health

Modeling and simulation of autonomous vehicles

Computational project evaluating pollution and energy efficiency in autonomous vehicle scenarios using simulation and high-performance computing resources.

2024-2025 Mobility Emissions Simulation

AQUA-P: Machine learning for water quality assessment

A machine-learning based tool for assessing water quality, published in the Journal of Contaminant Hydrology in 2025.

2025 Water quality ML Environmental data

Mexican Sign Language recognition dataset and models

Open data and modeling work using labeled videos/images, MediaPipe features, and machine learning models for dactylology and the first ten numbers in Mexican Sign Language.

2025 Open data Computer vision Accessibility

Recent publications.

A concise list of recent publications with DOI links. You can add a “View all publications” button later for Google Scholar, ORCID, or ResearchGate.

2025

AQUA-P: A Machine Learning-Based Tool for Water Quality Assessment

Journal of Contaminant Hydrology

Corresponding author · Environmental data and machine learning.

DOI

2025

Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach

Machine Learning and Knowledge Extraction

Clinical, socioeconomic, and environmental data analysis.

DOI

2025

Cellular Automata for Optimization of Traffic Emission and Flow Dynamics

Infrastructures

Two-route systems using feedback information.

DOI

2025

Mexican Sign Language Recognition: Dataset Creation and Performance Evaluation

Electronics

MediaPipe and machine learning techniques.

DOI

2025

Handling Missing Air Quality Data Using Bidirectional Recurrent Imputation

AI

Time series imputation and random forest in a Mexico City case study.

DOI

2024

Analyzing Single-Lane Roundabout Traffic and Environmental Impacts

International Journal of Modern Physics C

Cellular automaton model focused on U-turn effects.

DOI

Courses & certifications

Continuous training in complexity, AI, and scientific computing.

This section is useful for students and collaborators because it shows your evolving methodological preparation across physics, computing, and artificial intelligence.

202540h

Fractals and Scaling

Santa Fe Institute

202540h

Introduction to Complexity

Santa Fe Institute

2024120h

IBM Data Science Professional Certificate

IBM

202420h

Introduction to Generative AI

Google Cloud

202430h

Generative AI for Data Scientists

IBM

2024125h

Inteligencia Artificial

Universidad Anáhuac

2023100h

Computational Social Science

Coursera

2022150h

Data Science with Python

UAEM

Teaching & service

Academic leadership and graduate formation.

A personal page for a professor should show not only papers, but also teaching, mentoring, scientific service, and outreach.

Curriculum design

Participated in the redesign of the Master's program in Computational Sciences at INAOE, including the design of two elective courses: Foundations of Network Science and Complex Systems.

The courses emphasize networks, emergence, self-organization, collective dynamics, cellular automata, agent-based models, mobility, traffic, and urban systems.

Graduate teaching Complex Systems · Foundations of Network Science · Research seminars

Peer review International journals in AI, transportation, energy, sustainability, and computational science

Scientific committees Program/scientific committee participation in pattern recognition and interdisciplinary conferences

Research training Student supervision, thesis work, seminars, workshops, and interdisciplinary collaboration

Talks & outreach

Public communication of complex systems.

Use this section to attract students, collaborators, and institutions interested in seminars, workshops, and scientific communication.

2026

Complex Systems: The Science Behind Vehicle Traffic

Science outreach talk explaining traffic through interactions, emergence, and collective behavior.

2025

Introduction to Complex Systems and Network Science

Invited academic talk for graduate students, focused on complexity and networks.

2024

Modeling and Simulation in Complex Systems and Social Sciences

Workshop introducing computational modeling, collective behavior, and simulation tools.

Open to research collaboration, seminars, and graduate supervision.

For invitations, collaborations, student advising, or scientific exchange, use the professional links below.

Email n.lakouari@gmail.com ORCID 0000-0002-7180-1038 ResearchGate Profile Publications Latest papers