AI Synergies


Rocsildes Canoy

PhD researcher

Preference learning for sustainable freight transport planning

In this project we are investigating the use of preference learning techniques over routing plans. The goal is to learn the preferences of the planners when choosing one option over another, and to more effectively reuse all of the knowledge and effort that has been put into creating previous plans. 

In contrast to most research on vehicle routing today, the focus here is on intelligent tools that learn from the user directly and can hence manage and recommend different or similar routes as used in the past. This is a novel research direction and is allowing SUMY to innovate its freight transport planning process and the involvement of its employees.


Data Analytics Laboratory 

Faculty of Economic and Social Sciences and Solvay Business School 

Business Technology and Operations 

Academic Mobility, Logistics and Automotive Technology Research Centre 

Researcher, PhD


Syrah room
Research presentations AI
Day 2 - Nov 7th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

More info about our events