Mohammad (MH) Rahmani is a PhD research candidate in Computer Science and Technology at UC3M, currently focusing on Embodied Perception through Interaction and Sensations. 

He was a research fellow at SAIL Lab in University of New Haven focusing on real-time neurofeedback systems, signal processing, and artificial intelligence in Brain-Computer Interfaces (BCI); as well as developing Text-to-Speech (TTS) models for low-resource languages. With a background in observational astronomy, computer science, and multi-media production, Rahmani holds a Master’s degree from NYU’s Interactive Telecommunications Program (ITP) and a BSc in Computer Science. He has professionally worked in R&D roles on LoRa Chirp based IoT consumer devices, safety surveillance systems, and image processing.

Additionally, he has served as the Vice Chair of Tehran ACM SIGGRAPH, and his creative work has been featured in various galleries, hackathons, and festivals. He is an interactive media artist and new media researcher known for immersive spatial mixed reality experiences. His work has been showcased at Archuwum Art Transparent, TADAEX Festival, SIGGRAPH Conference, and SFA Projects.