Maurizio Omologo

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About

Maurizio Omologo is a leading figure in audio-visual signal processing, with a career dedicated to advancing multi-sensor perception for human-computer interaction and robotics. His primary research areas include multi-speaker tracking, acoustic scene analysis, and the integration of audio and visual data for robust sensing. A key contribution is his pioneering work on compact, portable multi-sensor platforms, which address the challenge of tracking multiple individuals in real-world environments using limited hardware. His influential 2019 paper, "Multi-Speaker Tracking From an Audio–Visual Sensing Device" (60 citations), demonstrates a novel 3D tracking method that fuses sound localization with visual data, overcoming the limitations of traditional distributed sensors. Omologo’s impact is further underscored by his foundational role in developing the widely-used DIRHA (Distant-speech Interaction for Robust Home Applications) corpus and his leadership in European projects on smart environments. With over 10,000 citations to his name, his work has shaped modern approaches to hands-free interaction, making him a key reference for students and researchers working on multi-modal sensing, speaker diarization, and human-aware robotics.