MH. Rahmani is a PhD candidate in Computer Science and Technology at UC3M, focusing on Embodied Perception through interaction and sensation. His research includes the development of real-time neurofeedback systems, signal processing and Brain-Computer Interfaces (BCI). Rahmani has advanced Text-to-Speech (TTS) models for resource-poor languages and has expertise in observational astronomy, computer science and multimedia production. His professional background includes R&D roles in LoRa Chirp-based IoT devices, security surveillance systems and image processing. He is passionate about research in interactive media and new media, particularly immersive spatial mixed reality. He has exhibited his work in galleries, hackathons and festivals.