The Attacker IP Prioritizer(AIP) dynamically generates resource-friendly IPv4 blocklists from Zeek network flows.

Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization

Energy Grid Optimization and Analysis (EGOA)

This repository contains various implementations of algorithms related to network flows.

Teaching material that I prepared as a TA for the laboratories of the Network Dynamics and Learning course for the MSc in Data Science and Engineering at Politecnico di Torino.

A Python module for generating random network flows problem instances in DIMACS graph format.

LaTeX source code, figures, plots, presentations, and scripts of the PhD thesis "Combinatorial Problems in Energy Networks - Graph-theoretic Models and Algorithms".

R package for the evaluation of the (weighted, normalised) efficiency of network flows.

Personal Notes on two papers dealing with approximation algorithms for the multicommodity flow problem

A set of presentations and lectures in different fields.

Implementation of 2 apps, using Mininet as a Virtual Network Simulator and OpenDaylight Software-Defined-Networking Controller.

A webapp to visualize the Ford-Fulkerson and Edmonds-Karp max flow algorithms. Below is the link to the website!

Network-flows: a c++ command line tool for network optimization problems

Implementation of maximum flow algorithm from Network flows book by Ahuja, Magnanti, Orlin

Network traffic analysis, traffic characteristics extraction, flow migration and evaluation

Network Flows Homeworks. January-June 2019. Graduate Program in System Engineering. UANL

Monetary Worth Maximization, Cost Minimization and Network Flow cases; where LP approach is applied

A set of posters in different fields.

Coursera Data Structures and Algorithms Specialization course 5 --> Advanced Algorithms and Complexity... Code is completed in python only.