My research focuses on making physical spaces machine-readable, converting 2D information into 3D models, detecting and processing industrial assets from point clouds, and applying AI to food safety certification for SMEs. Affiliated with ABIL Lab.
Best Paper Award EUSPN 2025, Leuven, Belgium
🏆 Best Paper EUSPN 2025Open to collaborationsAvailable for mentorship
Leveraging Machine Learning Techniques in Converting 2D Floorplans Images to 3D Models
Ibsen Giovanni BAZIE, Boaz N. Nzazia, Jirince K. Biabaa, Tasho Tashevd, Witesyavwirwa V. Kambale, Kyandoghere Kyamakya, Nathanael M. Kasoroa, Selain K. Kasereka
Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2025), 2025
With the growing demand for automation in fields such as architecture, real estate, and digital twin technologies, the ability to efficiently convert 2D floorplan images into accurate 3D structural models has become incr...
From IoT to AIoT: Evolving Agricultural Systems Through Intelligent Connectivity in Low-Income Countries
Selain K. Kasereka, Alidor M. Mbayandjambe, Ibsen G. Bazie, Heriol F. Zeufack, Okurwoth V. Ocama, Esteve Hassan, Kyandoghere Kyamakya, Tasho Tashev
Future Internet, 2025
This paper explores the evolution from traditional Internet of Things (IoT) to Artificial Intelligence of Things (AIoT) in agricultural systems, with a specific focus on applications in low-income countries. The integrat...
Enhancing Agricultural Supply Chain Traceability with Blockchain Smart Contracts E-Labelling
Ibsen Giovanni BAZIE, , Alidor M. Mbayandjambe, Kevin T. Nguemdjom, Alain M. Kuyunsa, Hervek K. Kabengele , Rajesh Gupta, Tasho Tashev, Kyandoghere Kyamakya, Selain K. Kasereka
Big Data, Knowledge and Control Systems Engineering (BDKCSE), 2025
Africa’s agricultural sector employs over 60% of the continent’s population but faces challenges in product traceability and food security due to limited infrastructure and information asymmetries. This paper presents a ...
International Journal of Innovative Science and Research Technology, 2025
This study evaluates the effectiveness of integrating multi-scale attention mechanisms, specifically the Bottleneck Attention Module (BAM), into deep learning architectures such as ResNet18 and SqueezeNet, using the CIFA...
International Journal of Innovative Science and Research Technology, 2025
Obesity represents a major public health challenge, requiring accurate and interpretable predictive tools. This study proposes an approach based on a Multilayer Perceptron (MLP) optimized to predict obesity levels from l...
