Stamatios C. Nicolis


  • Unit of Biological and Artificial Self-organised Systems
  • Center for Nonlinear phenomena and complex systems (CENOLI)
  • Service de Chimie-Physique et Biologie Théorique
  • Faculté des Sciences
  • Université Libre de Bruxelles

Stamatios C. Nicolis

Research Interests

Collective Behaviour

Investigating emergent phenomena in biological and artificial systems, focusing on self-organization and group dynamics.

Nonlinear Dynamics

Exploring nonlinear dynamical systems and pattern formation in biological systems.

Mathematical Modelling

Developing mathematical models and conducting stochastic simulations to understand biological phenomena.

Biological Complex Systems

Studying biological systems, including animal behavior, social and group-living organisms.

Publications

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Teaching

Course Description

Lecture Materials

General Formulation
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Diseases and Epidemics
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Populations
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Biochemical Kinetics
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Turing Patterns
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Evolutionary Biology
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Projects

Project 1
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Project 2
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Project 3
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Course Description

Lecture Materials

Self-Organisation Survey
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Quantitative Formulation
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Dynamical Systems & ODEs
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One Variable Systems
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Two Variables (Part I)
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Spatially Extended Systems
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Tutorial Materials

Differential Equations Models
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MATLAB Examples
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Practice Exercises
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Apps & Codes

Calculators & Simulators

Binomial Calculator

Interactive probability calculator for binomial distributions

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Aggregation Model

Monte Carlo simulation of collective aggregation behavior

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Binary Choice Model

Simulation of decision-making in collective systems

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SmartWater Platform

Weather Station

Real-time data and monitoring on Brussels's ponds

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Data Dashboard

Interactive visualization and analysis platform

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Python tools for video analysis

Event Marker

Application that lets users log timestamped events (left/right enter/exit actions) while watching videos using customizable keyboard shortcuts. The logged events are automatically saved to CSV files, making it useful for behavioral research.

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Pre-labelling

Automatic labelling for YOLO object detection

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jTracker

Automated object detection and tracking in videos using HSV color-based segmentation. Features interactive parameter calibration and multi-ROI batch processing with comprehensive CSV and mask outputs for behavioral research.

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Other

Experimental setups for behavioral research

3D models (stl and openscad)

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WindowManagerPlus

Window manager (automatic tiling/stacking and floating) for MacOS and Hammerspoon

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