| 2024 | PAAMS | Neural Cellular Automaton for Decentralized Inference in Distributed Manipulation Systems. | Nicolas Bessone, Payam Zahadat, Kasper Sty |
| 2018 | GECCO | A robot to shape your natural plant: the machine learning approach to model and control bio-hybrid systems. | Mostafa Wahby, Mary Katherine Heinrich, Daniel Nicolas Hofstadler, Payam Zahadat, Sebastian Risi, Phil Ayres, Thomas Schmickl, Heiko Hamann |
| 2018 | IROS | Robust and Adaptive Robot Self-Assembly Based on Vascular Morphogenesis. | Mohammad Divband Soorati, Javad Ghofrani, Payam Zahadat, Heiko Hamann |
| 2017 | GECCO | Design choices for adapting bio-hybrid systems with evolutionary computation. | Pedro Mariano, Ziad Salem, Rob Mills, Payam Zahadat, Lus Correia, Thomas Schmickl |
| 2017 | GECCO | Vascular morphogenesis controller: a generative model for developing morphology of artificial structures. | Payam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl |
| 2015 | GECCO | Evolving Diverse Collective Behaviors Independent of Swarm Density. | Payam Zahadat, Heiko Hamann, Thomas Schmickl |
| 2015 | PRIMA | Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous Swarms. | Daniela Kengyel, Heiko Hamann, Payam Zahadat, Gerald Radspieler, Franz Wotawa, Thomas Schmickl |
| 2014 | GECCO | Wolfpack-inspired evolutionary algorithm and a reaction-diffusion-based controller are used for pattern formation. | Payam Zahadat, Thomas Schmickl |