Islam Guven is a Ph.D. researcher in the RF-SOI group at UCLouvain, with a focus on integrating artificial intelligence into RF and analog circuit design processes. He will be developing multi-agent reinforcement learning and evolutionary strategies to assist designers in automating the co-design of complex multi-component systems.

He holds an M.Sc. degree in Electrical Engineering from Ozyegin University, and his research background spans multi-agent systems, time-frequency analysis, and optimization techniques applied to autonomous drones and signal processing.

He is currently transitioning into integrated circuit design, where he is building intelligent design frameworks that leverage modern EDA tools alongside deep learning techniques.

His research interests include:

• Applying multi-agent reinforcement learning to automate multi-block RF circuit design,
• Exploring graph neural networks for efficient dataset generation in the circuit design domain,
• Reducing data dependency in AI models through hybrid approaches such as neuroevolutionary algorithms.