Ali Yassin
Papers
3
Total Citations
65
H-Index
2
About
Ali Yassin is a researcher specializing in millimeter wave (mmWave) communications, indoor and vehicular localization, and simultaneous localization and mapping (SLAM). His work sits at the intersection of wireless communications and robotic navigation, addressing fundamental challenges in how intelligent systems perceive and map their environments without prior knowledge. Yassin's most significant contribution is MOSAIC (2018), a pioneering framework for mmWave-based SLAM that operates without a-priori environmental knowledge — a landmark achievement in a field where such capabilities were largely unexplored at the time. Accumulating 57 citations, this work established an early and influential foundation for mmWave SLAM research, demonstrating its feasibility and inspiring subsequent investigation in the community. Complementing this, his geometric approach combining Angle-of-Arrival and Time-of-Arrival techniques for indoor localization and mapping further refined practical implementation strategies using single static receivers and multiple access points. Yassin has also explored the broader opportunities of 3D localization and mapping across both vehicular and indoor environments, helping define a technical roadmap for the field. Together, his contributions reflect a coherent research vision: unlocking the positioning and sensing potential of mmWave signals for next-generation wireless and autonomous systems.
Research Focus
Key Achievements
Top Papers
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