I am the head of the Evolutionary Robotics and Artificial Life Lab and the co-head of the Machine Learning Lab. I do research on Evolutionary Computation, Machine Learning, and their application to computer- and engineering-related topics. In the last years, I focused on Grammatical Evolution, a form of Genetic Programming, and on Evolutionary Robotics, in the context of Artificial Life and multi-agent systems.
I am one of the recipients of the Google Faculty Research Awards 2019 (nominated in February 2020). The funded project is on “representations and learning algorithms for highly reconfigurable modular soft robots”.
If you are a student (here at University of Trieste, or from another institution) and want to work with me, look at the web sites of my labs for finding thesis opportunities and then contact me.
- Jour Pigozzi, Medvet, Bartoli, Rochelli; Factors Impacting Diversity and Effectiveness of Evolved Modular Robots; ACM Transactions on Evolutionary Learning and Optimization (TELO); 2023
- Jour Nadizar, Medvet, Nichele, Pontes-Filho; An Experimental Comparison of Evolved Neural Network Models for Controlling Simulated Modular Soft Robots; Applied Soft Computing (ASOC), Q1; 2023
- Conf Nadizar, Medvet, Miras; On the Schedule for Morphological Development of Evolved Modular Soft Robots; 25th European Conference on Genetic Programming (EuroGP); 2022 (Best student poster award)
- Jour Ferigo, Iacca, Medvet, Pigozzi; Evolving Hebbian Learning Rules in Voxel-based Soft Robot; IEEE Transactions on Cognitive and Developmental Systems (TCDS), Q1; 2022
- Jour Bartoli, De Lorenzo, Medvet, Tarlao; Automatic Search-and-Replace from Examples with Coevolutionary Genetic Programming; IEEE Transactions on Cybernetics (TCyb), Q1; 2021