Research project

🐢 Interface for Running NetLogo Simulations from R

A Python class for AutoML spatial classification (designed for Species Distribution Modeling applications).

This code is part of a bigger project about the semantic segmentation of coral reefs for ecological monitoring.

Simulate realistic forest stand patterns using simulated annealing optimization to match empirical targets for spatial patterns, canopy structure, species composition, and fire behavior metrics.

🐇🦊 Illustration of Lotka–Volterra's Predator–Prey Model

Plant-Herbivore Interaction & Defense Simulator (PHIDS): A visual discrete event-based simulator modelling ecological dynamics between plants and herbivores on a spatial grid. It tracks energy, population growth, and cooperative plant defences, including airborne signals, symbiotic communication, and toxin production to repel/kill attackers.

Agent-based bee colony simulation featuring genetic modeling, foraging algorithms, disease tracking, and comprehensive CLI tools for pollinator population research.

Hybrid ecological modeling of two-species competition: Lotka–Volterra dynamics vs machine learning and physics-informed neural networks

AI-driven spatial modeling, ensemble learning, and LLM-integrated decision systems for yard-scale pollinator plant recommendations