Mohamed Awadalla

University of Adelaide, Ain Shams University

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About

Mohamed Awadalla’s research lies at the intersection of robotics, environmental sensing, and signal processing, with a primary focus on the localization of chemical and acoustic sources. His work addresses critical challenges in hazardous indoor environments, where rapid detection of gas contaminant plumes or sound sources is essential for safety and autonomous navigation. Awadalla’s major contributions include the development of a 3D framework integrating Computational Fluid Dynamics (CFD) and MATLAB techniques for plume source localization, a study that has garnered 45 citations and remains a foundational reference in the field. He also advanced sound source localization (SSL) with a two-stage approach based on the SRP-PHAT algorithm, designed for compact microphone arrays on small mobile robots operating indoors. His earlier work on CFD modeling of 3D indoor gas contaminant plumes (6 citations) directly supports the testing of search algorithms for plume-tracing robots. Collectively, Awadalla’s research demonstrates a sustained effort to equip mobile robots with robust, real-time sensing capabilities, bridging simulation and practical deployment. His work is particularly valuable for researchers in autonomous systems, environmental monitoring, and robotics, offering validated frameworks for source localization in complex, dynamic indoor settings.