Abdoulaye Diakite PhD

Abdoulaye Diakite PhD

BIM Expert, Sydney

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About

Dr. Abdoulaye Diakite is a globally recognized expert in Building Information Modeling (BIM) and spatial data science, currently based in Sydney, Australia. With a PhD in Geospatial Sciences from the University of Melbourne and over 15 years of research experience, he has established himself as a leading authority in 3D indoor modeling, semantic data integration, and digital twin technologies for built environments.

As a Senior Research Fellow at UNSW Sydney's Built Environment faculty, Dr. Diakite has published over 50 peer-reviewed papers in top-tier journals including Automation in Construction, Building and Environment, and Computers & Graphics. His research on automated indoor space subdivision and semantic enrichment of BIM models has been cited over 2,000 times, making him one of the most influential researchers in computational building science.

At Waide Mobility, Dr. Diakite serves as Chief Technology Officer for Spatial Intelligence, where he leads the development of advanced algorithms that convert complex architectural drawings into navigable digital environments. His proprietary methods for automated space detection, accessibility pathway analysis, and real-time spatial reasoning form the technical backbone of Waide's navigation platform, enabling precise indoor positioning accuracy within 1-2 meters.

Beyond his technical contributions, Dr. Diakite is passionate about democratizing spatial technology for social good. He has collaborated with UNESCO on heritage site digitization projects, worked with disability advocacy groups to develop inclusive design standards, and mentored over 30 PhD students from developing countries. His work bridges the gap between academic research and real-world applications that improve lives.

Research Excellence & Innovation

Semantic BIM Architecture

Pioneering intelligent building models that understand spatial relationships and accessibility requirements for inclusive navigation

Geospatial Intelligence

Advanced spatial analytics and machine learning integration for precise indoor positioning and context-aware navigation systems

Digital Twin Innovation

Creating living digital replicas of complex indoor environments that adapt in real-time to support accessibility and emergency response

International Collaboration

Leading cross-continental research initiatives that bridge academic excellence with practical solutions for global accessibility challenges

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