Dr Iran Roman

Research

Theoretical neuroscience, Machine Perception, Artificial Intelligence

Interests

Iran R. Roman is a Lecturer at the School of Electrical Engineering and Computer Science of Queen Mary University of London. Within Queen Mary, he is a member of the Center for Multimodal AI, Center for Digital Music, Center for Human-Centered Computing, the Computer Vision group, and the Cognitive Science group.

His research area is machine perception, with the goal of creating algorithms that allow computers to perceive environments as living agents do. To this end, Iran has developed algorithms that leverage multimodal signals to sense, identify, and track objects in the real world. These algorithms draw inspiration from the neural mechanisms that allow living organisms to carry out similar tasks. Iran’s work has found applications in products at companies such as Apple, Tesla, Raytheon/BBN, and Plantronics. His research has been funded by the US National Science Foundation (NSF), the US Defense Advanced Research Projects Agency (DARPA), and the Howard Hughes Medical Institute (HHMI).

On the academic service side, he serves as reviewer for IEEE ICASSP, IEEE MLSP, ISMIR, eLife, and Music & Science. Iran is also a volunteer professor for the National Autonomous University of Mexico, and the organizer of the annual Deep Learning for Music Information Retrieval workshop at the Center for Computer Research in Music and Acoustics at Stanford University.