Ajayi Crowther University Student Represents Nigeria at Global Surveyors’ Conference in South Africa

A 500-level student of Geo-informatics and Surveying at Ajayi Crowther University (ACU), Oyo, Oluwapelumi Aikomo, has represented Nigeria and her institution at the Federation of International Surveyors (FIG) Conference 2026 held in Cape Town, South Africa.

Ajayi Crowther University Student Represents Nigeria at Global Surveyors’ Conference in South Africa

A 500-level student of Geo-informatics and Surveying at Ajayi Crowther University (ACU), Oyo, Oluwapelumi Aikomo, has represented Nigeria and her institution at the Federation of International Surveyors (FIG) Conference 2026 held in Cape Town, South Africa.

Aikomo participated in the global conference in a dual capacity, representing both Ajayi Crowther University and Nigeria, where she was selected to present a research paper before an international audience of geospatial and surveying experts.

Her presentation, which attracted commendation from attendees, showcased innovative applications of artificial intelligence in geodetic modelling and placed the university on the global academic research stage.

Working alongside co-authors Elufisan Tomilola and Tata Herbert, she presented a paper titled: “Towards Improved Geodetic Modelling: Prediction of Gravity Values Using Artificial Neural Networks in Akure, Nigeria.”

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Key elements of the research include:

  • Use of Artificial Neural Networks (ANN) for gravity value prediction
  • Focus on geophysical modelling challenges in Akure, Nigeria
  • Data collection from 59 survey stations
  • Use of South GNSS instrument and Lacoste & Romberg gravimeter
  • Application of corrections including latitude, drift, tide, free-air and Bouguer corrections
  • ANN architecture involving 40 hidden layers
  • Performance results: RMSE (0.0286 mGal), MAE (0.0220 mGal), R² (0.6269)
  • Recommendation for denser gravity data collection for improved accuracy

The study highlighted the potential of artificial intelligence in addressing limitations in traditional geophysical modelling methods, particularly in environments with sparse datasets.

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Despite noting limitations in dataset size, Aikomo emphasized the broader implication of her findings for advancing AI-driven geospatial analysis in Nigeria.

Reacting to the achievement, the Vice-Chancellor of Ajayi Crowther University, Prof. Ebunoluwa Oduwole, alongside the university management, described her as a worthy ambassador of the institution and a rising talent in geoinformatics.

The university commended her for projecting ACU on the international academic stage and contributing to cutting-edge research in geospatial science.