Navigating the Data Frontier: Scaling Indoor Positioning Solutions from Research to Big Data

Dr. Firas Alsehly, Director of Positioning & Navigation Lab I Huawei Edinburgh Research Centre

Abstract: Ensuring ubiquitous availability of location-based services (LBS) across consumer devices, including wearables and smartphones, is of paramount importance. However, achieving high availability and seamless positioning—both indoors and outdoors—poses significant challenges due to scale, complexities, and reliance on infrastructure. Join us as we explore the intersection of data-driven approaches and resilient LBS solutions, opening up new possibilities for location-aware applications.

Would recent data modelling techniques, help us to achieve robust and seamless positioning? Let us delve into recent advancements that leverage multi-modality and graph representation to enhance LBS availability.

Biography: Firas is a Huawei scientist and the Chief Architect for Indoor Positioning data-driven location-based services (LBS) for smartphones and wearables. He is the leader of Positioning and Navigation Lab at Huawei’s Edinburgh Research Center in the United Kingdom. Before joining Huawei, Firas held leadership positions in startups and small enterprises, guiding the transition from academic research to industry R&D projects. Additionally, he served as a technologist in the Fin-Tech sector untill 2020, overseeing data automation for high availability and seamless operations. He sums 15 years of experience in the field of geospatial data, with numerous patents and research papers to his name.