Biologically Inspired AI
ABOUT
I am an Assistant Professor in the Computational Intelligence Group at the Vrije Universiteit Amsterdam. I received my Ph.D. degree in Computer Science from the Eindhoven University of Technology. I was a postdoctoral researcher at the Center for Neuroscience-inspired AI at Korea Advanced Institute of Science and Technology (KAIST). Previously, I worked in the Department of Biomedical Informatics in Columbia University as a researcher.
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My main areas of research interests are evolutionary computation, artificial neural networks, and swarm intelligence. I am particularly interested in biologically inspired computing models and approaches to learning.
Vacancies: ​
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Master and bachelor projects available here. Feel free contact if you have any questions.​
NEWS
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Sep 2023: New preprint! Triebold, C., Yaman, A. (2023). Evolving generalist controllers to handle a wide range of morphological variations.
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Sep 2023: The emergence of division of labor through decentralized social sanctioning (Accepted, Proceedings of the Royal Society B)
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Apr 2022: Seminar talk on meta-control of social learning strategies, available online at: https://youtu.be/x8Ezsy3_NVg
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March 2022: New article published: Meta-control of social learning strategies.
PLoS Comput Biol 18(2): e1009882 (see the blog post).
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September 13th, 2019: We organized a Phoenix Workshop at TU Eindhoven (more about Phoenix Project).
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June 15th, 2019: Invited talk on "Nature-inspired Artificial Intelligence" organized by FruitPunch AI, Eindhoven.
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May 4th, 2019: Invited talk on "An introduction to Artificial Intelligence and its societal implications" organized by Art + Technology Society, Eindhoven.
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Apr 4th, 2019: Interview with Ingrid Fadelli regarding our GECCO'19 paper "Learning with delayed synaptic plasticity" published on TechXplore!