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Mr. Alain Kangela | Agriculture | Young Scientist Award

Mr at Université Catholique de Bukavu Congo, Democratic Republic of the

DR Congolese, postgraduated in Biomathmatics and Applied statistics (major Biostatistics) from the University of Abomey – Calavi (UAC/Benin – 2022). Affiliated at the Faculty of Agronomy/Université Catholique de Bukavu (UCB) as Teaching Assistant and Research Assistant at the Centre de Recherche Interdisciplinaire Appliquée pour le Développement (CEREIAD – UCB). Experienced in statistics, conducting research in pedometrics, spatio-temporal modelling of environmental variables using Bayesian and classical inferences, and AI-based modeling. Interested in ecological and Disease modeling. Proactive and results-oriented, with strong skills in communication and scientific collaboration.🌟





Field of Expertise and Interests 📊

Data Science: Machine Learning (AI-based modeling), Bayesian statistics, Biostatistics, Disease modeling, Multivariate methods. Agronomy: Soil fertility management, spatio-temporal modelling of soil properties distribution, pedometrics, Ecological modeling, Climate change and Environment

Some Experiences 🌍

Assistant of Teaching & Researcher Since 2021, Faculty of Agronomy, UCB, Research Action: Urban Waste flow mapping and scenario modeling, CEREIAD, UCB Since August 2023, Consultancy – Biometrician (Data Analyst) Since August 2023, IITA – Kalambo, DR Congo, Monitoring and Evaluation Consultancy June 2023, Collectif SIMAMA CONGO (COSIC), DR Congo, Lecturer in Descriptive statistics, agricultural experiment designs, and Pedology 2019, UCU – Uvira, DR Congo

Technical and Personal Skills 🛠️

Data collection, data analysis, reports writing, Building capacity, technical assistance, IT skills, Proactive and results-oriented, punctuality and precision

Workshops and Post-graduate Training 📚

Farmer segmentation Methodology training, ILRI Campus – Addis Ababa, Ethiopia Autumn School on “Biodiversity past, present and future”, Grenoble, France Intelligence artificielle et agriculture de précision, UAC/LABEF – Benin Summer school on Climate Change Adaptation, University of Applied Sciences, Cologne, Germany

Degree Dissertations 📝

Kangela M.A. 2022. On the relative performance of five spatial predictive models in Digital Soil Mapping (DSM). M.Sc. dissertation in Biostatistics, LABEF, UAC, Benin. Kangela M.A. 2018. Caractérisation du phénomène d’adsorption du phosphore pour une meilleure gestion de la fertilité du sol dans les conditions de Walungu. Science du sol, UCB, Bukavu, DRC.


  • Title: Digital soil mapping: a predictive performance assessment of spatial linear regression, Bayesian and ML-based models
    Authors: AK Matazi, EE Gognet, RG Kakaï
    Journal: Modeling Earth Systems and Environment
    Year: 2024
    Volume: 10
    Issue: 1
    Pages: 595-618
    Citations: 1


  • Title: Adsorption du phosphore dans les sols plus exploités dans le territoire de Walungu à l’Est de la République Démocratique du Congo
    Authors: M Kangela, WZ Munyahali, N Cizungu, Landry, B Rukiranuka
    Journal: Afrique SCIENCE
    Year: 2021
    Volume: 18
    Issue: 3
    Pages: 155-170
    Citations: 1


  • Title: Rapid screening for resistance of maize inbred and hybrid lines against southern corn leaf blight
    Authors: BN Shukuru, TS Archana, AM Kangela
    Journal: Journal of Phytopathology
    Year: 2023
    Volume: 171
    Issue: 9
    Pages: 452-469
    Citations: Not available


  • Title: Does Eucalyptus determine agricultural soil quality?
    Authors: AK Matazi, EK Luganda, SM Mukotanyi
    Journal: Cogent Food & Agriculture
    Year: 2023
    Volume: 9
    Issue: 1
    Article Number: 2157115
    Citations: Not available


Alain Kangela | Agriculture | Young Scientist Award

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