Roman Kalkreuth is currently an assistant professor at The Chair of Artificial Intelligence Methodology of Professor Holger Hoos which belongs to RWTH Aachen University in Germany. Primarily, his research focuses on the analysis and development of algorithms for graph-based genetic programming. From 2015 until 2022, he was a research associate of the Computational Intelligence Research Group of Professor Günter Rudolph at TU Dortmund University (Germany). Roman Kalkreuth defended his PhD thesis in July 2021 and then took up a postdoctoral researcher position within Professor Rudolph’s group. From October 2022 to June 2023, he worked in the Natural Computing Research Group of Professor Dr. Thomas Bäck at the Leiden Institute of Advanced Computer Science, which is part of Leiden University. He joined Laboratoire d’Informatique de Paris 6 (LIP6) of Sorbonne University in Paris as a postdoctoral researcher under supervision of Carola Doerr from June 2023 until March 2024. He then took up an assistant professor position at RWTH Aachen University, which started in April 2024.

I’m an associate professor at the University of Toulouse 1 Capitole, France, at the Institut de Recherche en Informatique de Toulouse (IRIT) and I’m part of the REVA team. I did a postdoc research working with histopathology image analysis for cancer treatment with Genetic Programming in the IRIT@CRCT group. I got my PhD degree from the University of Tsukuba, Japan. Originally, I’m from Brazil, where I did my undergraduate course, at the University of Brasilia.

My research interests are related to Computational Intelligence, such as Evolutionary Computation and Artificial Life, with a greater focus on multi-objective optimization, fitness landscape and Genetic Programming. Overall, I’m interested in programs that can adapt themselves, in applications of Evolutionary Computation (black box optimization, multi-agent systems, games), as well as more speculative use of these Computational Intelligence for Artificial Life ( such as the evolution of virtual creatures and the worlds where the live).

Eric Medvet is an Associate Professor in Computer Engineering at the Department of Engineering and Architecture of University of Trieste, Italy. He is the founder and head of the Evolutionary Robotics and Artificial Life lab (ERALLab); he was the co-founder of the Machine Learning Lab. His research activities include evolutionary computation, artificial life, and the application of machine learning techniques to engineering and computer security problems. He authored more than 160 peer-reviewed articles on international journals or conferences, with more than 60 coauthors. He was a recipient of the Google Faculty Research Award 2020.

Giorgia Nadizar is a Postdoctoral Research Fellow at the University of Trieste, Italy. She obtained her Ph.D. cum laude from the University of Trieste in 2025, but has explored various research environments through internships and research visits at the Oslo Metropolitan University (Oslo), the Centrum Wiskunde & Informatica (Amsterdam), the ISAE-Supaero (Toulouse), the MIT (Boston), and University of Toulouse Capitole (Toulouse). Her research interests lie at the intersection of embodied AI and explainable/interpretable AI.

Giovanni Squillero is a full professor of Computer Science at Politecnico di Torino, Department of Control and Computer Engineering. His research combines artificial intelligence and soft computing, in particular bio-inspired meta-heuristics and multi-agent systems. He also designs approximate optimization techniques able to achieve acceptable solutions with reasonable amount of resources. The industrial applications of his work range from electronic CAD to bioinformatics, to the cultural sector. As of October 2024, Squillero is credited as an author in about 200 publications and as an editor in 14 volumes. He has presented several tutorials at top conferences, and he has been invited to speak at international events. Squillero was the Program Chair of EvoSTAR in 2016 and 2017. He (co-)organized the workshops on Graph Genetic Programming (GECCO24); Evolutionary Machine Learning (PPSN18); Measuring and Promoting Diversity in Evolutionary Algorithms (GECCO16-17); Evolutionary Hardware Optimization (EvoSTAR04-14). As an entrepreneur, he co-founded Ominee, S.r.l. in 2014, Bactell, Inc. in 2019, and Ai·Culture, S.r.l. in 2024.

Dennis G. Wilson is an Assistant Professor of AI and Data Science at ISAE-SUPAERO in Toulouse, France. He obtained his PhD at the Institut de Recherche en Informatique de Toulouse (IRIT) on the evolution of design principles for artificial neural networks. Prior to that, he worked in the Anyscale Learning For All group in CSAIL, MIT, applying evolutionary strategies and developmental models to the problem of wind farm layout optimization. His current research focuses on genetic programming, neural networks, and the evolution of learning.