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Prof Dr. Selain Kasereka

Jan 11, 2019

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Prof Dr. Selain Kasereka

  • Membres du Labo
  • abilab

    • Titre: Enseignant chercheur, Secrétaire chargé des projets du Laboratoire

    Grade: Professeur Full (Professeur Titulaire)

    Me trouver en ligne: ResearchGate Facebook  Twitter Linkedin GitHub Mendeley, ORCID

    Charges à l’Université de Kinshasa

    • Faculté des Sciences, Département de Mathématiques et Informatique
    • Conseil de la faculté des Sciences (membre de droit)
    • Conseil de département de Mathématiques et Informatique (membre de Droit)

    Email: selain.kasereka@unikin.ac.cd

    Téléphone: +243 82 18 28 964

    Pour découvrir quelques sujets de mémoire et TFC cliquer ici

    Domaines de recherche:

    1. Modélisation et simulation des systèmes complexes
    2. Machine learning, Deep learning
    3. Système Multi-agents
    4. Mathématiques appliquées
    5. Bio-Statistique, Bio-Math et Epidémiologie
    6. Analyse des sentiments
    7. Reconnaissance des émotions et stress

    Education:

    1. Doctorat en Sciences Appliquées, UNISA, Florida, Afrique du sud. Promoteur Prof Dr Emile-Franc Doungmo Goufo (UNISA) et Prof Dr Ho Tuong Vinh (IFI-VNU).
    2. Post-Master, Santé et Innovation, Centre Michel Serres, HESAM, Université de la Sorbonne, Paris, France (2015)
    3. Master en Cognition Naturelle et Artificielle, Université Paris 8, Paris, France (2014)
    4. Master en Ingénierie des Contenus Numériques en Entreprise, Université de la Rochelle, La Rochelle Ville, France (2013)
    5. Master en Systèmes Intelligents et Multimedia, IFI, Université Nationale du Vietnam, Hanoi, Vietnam (2012)
    6. Licence en Génie Informatique, Université de Kinshasa, Kinshasa, République Démocratique du Congo (2008)

    Enseigant des universités: Université de Kinshasa, Université Libre de Kinshasa, Université Libre des Pays des Grands Lac, Université Libre de Boma, Université de l’Assomption au Congo, Université de Mbujimayi.

    Quelques publications:

    1. Kasereka, S. K., Mbayandjambe, A. M., Bazie, I. G., Zeufack, H. F., Ocama, O. V., … (2026). From IoT to AIoT: Evolving agricultural systems through intelligent connectivity in low-income countries. Future Internet, 18(2), 82.
    2. Mumbere, D., Mbayandjambe, A., Ngoie, R. B. M., Kasengedia, P. M., … Kasereka, S. K., (2025). A real-time framework for traffic control in resource-constrained cities. In International Conference on Big Data, Knowledge and Control Systems.
    3. Kasereka, S. K., Tashev, T., Medagbe, Y. C. N., Ocama, O. V., Ilunga, G. W. K., … (2025). Smart irrigation for precision agriculture: A pathway to sustainable farming in low-income regions. In International Conference on Big Data, Knowledge and Control Systems.
    4. Bazie, I. G., Mbayandjambe, A. M., Nguemdjom, K. T., Kuyunsa, A. M., … Kasereka, S. K., (2025). Enhancing agricultural supply chain traceability with blockchain, smart contracts, and e-labelling. In International Conference on Big Data, Knowledge and Control Systems.
    5. Mulomba, C. M., Kiketa, V. M., Kutangila, D. M., Mampuya, P. H. K., Mukenze, N., … Kasereka, S. K., (2025). Applying causal machine learning to spatiotemporal data analysis: An investigation of opportunities and challenges. IEEE Access.
    6. Mukungu, M. T., Mbayandjambe, A. M., Tashev, T., Kyamakya, K., & Kasereka, S. K., (2025). BabaSpeech: A deep learning-based translation of sign language into Lingala text and speech for deaf-mute inclusivity. In International Joint Conference on Artificial Intelligence (pp. 91–105).
    7. Kabeya, D. K., Kambale, W. V., Mboma, J. G. M., Bendo, V. N., Kasereka, S. K., … (2025). Designing a Swahili-speaking medical chatbot for oncology, dermatology, and otorhinolaryngology care in low-resource settings. In Conference on Information Communications Technology and Society (ICTAS).
    8. Kayembe, I. L., Kambale, W. V., Kubakisa, C. K., Hamed, M., Kasereka, S. K., … (2025). A deep learning approach to automated classification of thoracic diseases from medical imaging. In Conference on Information Communications Technology and Society (ICTAS).
    9. Tshimula, J. M., Muabila, J. T., Galekwa, R. M., Kanda, H., Dialufuma, M. V., … Kasereka, S. K., (2025). Psychological profiling in cybersecurity: A look at LLMs and psycholinguistic. In Web Information Systems Engineering – WISE 2024 PhD Symposium.
    10. Kasereka, S. K., Kalondji, N. E., Ilunga, G. W. K., Ngoie, R. B. M., Kyamakya, K., … (2025). Enhancing building evacuation efficiency in case of fire breakout by integrating evacuee categorization into an agent-based simulation. IEEE Access, 13, 10595–10618.
    11. Nzazi, B. N., Biaba, J. K., Bazie, I. G., Tashev, T., Kambale, W. V., Tuong, V. H., … Kasereka, S. K., (2025). Artificial intelligence for public expenditure analysis in low-income countries: Opportunities and challenges. Procedia Computer Science, 272, 261–268.
    12. Biaba, J. K., Mulomba, C. M., Bazie, I. G., Nzazi, B. N., Tashev, T., Kambale, W. V., … Kasereka, S. K., (2025). Causal machine learning applied to macroeconomic analysis: Applications, challenges, and perspectives. Procedia Computer Science, 272, 251–260.
    13. Bazie, I. G., Nzazi, B. N., Biaba, J. K., Tashev, T., Kambale, W. V., Kyamakya, K., … Kasereka, S. K., (2025). Leveraging machine learning techniques in converting 2D floorplans images to 3D models: Applications, challenges, and future directions. Procedia Computer Science, 272, 234–241.
    14. Kabumba, R. K., Mbayandjambe, A. M., Tashev, T., Slavov, V., Kambale, W. V., … Kasereka, S. K., (2025). Predictive modeling of academic success using machine learning: A comparative analysis with SMOTE-based class balancing. Procedia Computer Science, 272, 242–250.
    15. Ocama, O. V., Medagbe, Y. C. N., Akello, S., Kambale, W. V., Tashev, T., … Kasereka, S. K., (2025). A review on advancing technologies in precision agriculture: Applications, challenges, and the way forward. Procedia Computer Science, 265, 572–577.
    16. Muchapa, P. T.,Kasereka, S. K., Pinto, J. K., Mandiya, R. E., Mulomba, C. M., … (2025). Enhancing healthcare in Africa using statistical learning: Applications and opportunities. Procedia Computer Science, 265, 268–275.
    17. Pinto, J. K., Kasereka, S. K., Muchapa, P. T., Ilunga, G. W. K., Mbayandjambe, A. M., … (2025). Enhancing healthcare in Africa: A brief review of lung cancer prediction and detection. Procedia Computer Science, 265, 390–397.
    18. Medagbe, Y. C. N., Ocama, O. V., Kasoro, N. M., Tashev, T., & Kasereka, S. K., (2025). Leveraging smart crop recommendation systems and climate-resilient practices for sustainable agriculture in developing regions: A brief review. Procedia Computer Science, 265, 209–216.
    19. Mbayandjambe, A. M., Kasereka, S. K., Kyamakya, K., & Ho, V. T. (2025). Enhancing printed Lingala script recognition using deep learning techniques. Procedia Computer Science, 257, 111–118.
    20. Kasereka, S. K., Kabwe, O. M., Kinyanta, M. W. K., Kasongo, A. L., Ilunga, G. W. K., … (2025). Enhancing building safety: A brief review of agent-based modeling for fire evacuation simulation. Procedia Computer Science, 257, 668–675.
    21. Kasereka, S. K., Tshibangu, K. N., Nyembo, M. M., Tshitenge, L. K., Muzindusi, M. K., … (2025). Leveraging artificial intelligence for advancements in mental disorders: A short review. Procedia Computer Science, 257, 676–683.
    22. Tshimula, J. M., Nkashama, D. J. K., Muabila, J. T., Galekwa, R. M., Kanda, H., … Kasereka, S. K., (2024). Psychological profiling in cybersecurity: A look at LLMs and psycholinguistic features. In International Conference on Web Information Systems Engineering (pp. 378–393).
    23. Ngoie, R. B. M., Kasereka, S. K., Sakulu, J. A. B., & Kyamakya, K. (2024). Mean-median compromise method: A novel deepest voting function balancing range voting and majority judgment. Mathematics, 12(22), 3631.
    24. Kasereka, S. K., (2024). Dynamics of a tuberculosis outbreak model in a multi-scale environment. arXiv preprint arXiv:2411.04297.
    25. Tshimula, J. M., Kalengayi, M., Makenga, D., Lilonge, D., Asumani, M., Madiya, D., … Kasereka, S. K., (2024). Artificial intelligence for public health surveillance in Africa: Applications and opportunities. arXiv preprint arXiv:2408.02575.
    26. Mandiya, R. E., Kongo, H. M., Kasereka, S. K., Kyandoghere, K., Tshakwanda, P. M., … (2024). Enhancing COVID‑19 detection: An Xception-based model with advanced transfer learning from X-ray thorax images. Journal of Imaging, 10(3), 63.
    27. Kabwe, B. M., Makulo, J. R., Mandina, M. N., Wumba, R., Kasereka, S. K., … (2023). Efficacy and safety of African medicinal plants in the treatment of mild or moderate COVID‑19: A randomized clinical trial using Doubase C®.
    28. Muhambya, K., Nirbhay, C., Kasereka, S. K.,& M. K. G. (2023). GIS-based modeling of Nyiragongo’s lava flow inundation probability and Mazuku: A spatial environment for a successful evacuation plan for Goma City.
    29. Katya, M., Nirbhay, C., Kasereka, S. K., & Kyamakya, K. (2023). Towards a dedicated social media and groupware for effective communication during the Nyiragongo volcanic crisis. In 10th International Symposium on Emerging Internetworks, Communication…
    30. Kasereka, S. K., Zohinga, G. N., Kiketa, V. M., Ngoie, R. B. M., Mputu, E. K., Kasoro, N. M., … (2023). Equation-based modeling vs. agent-based modeling with applications to the spread of COVID‑19 outbreak. Mathematics, 11(1), Article 253.
    31. Vogel Kiketa, J. J. K., Kashoba, H., Kasereka, S. K., Maniamfu, P., & David, … (2022). Design and implementation of a blended learning system for higher education in the Democratic Republic of Congo as a response to COVID‑19 pandemic. International Journal of Emerging Technologies in Learning, 17(13), 64–83.
    32. Nathanaël Kasoro, Kasereka, S. K., Grevisse Alpha Kalumendo, & Kyangoghere Kyamakya (2021). ABCSS: A novel approach for increasing the TCP congestion window in a network. Accepted for oral presentation in The 8th International Symposium on Emerging Internetworks, Communication and Mobility, August 9–12, 2021, Leuven, Belgium.
    33. Kasereka, S. K., Kyamakya, K., Ho Tuong, V., & Goufo, E.-F. D. (2021). A hybrid model and simulation of tuberculosis outbreak in a population with a high mobility. Accepted in Results in Physics, Manuscript Number: RINP-D-20-01391.
    34. Ndondo, A., Kasereka, S. K., Bisuta, S., Kyamakya, K., Doungmo Goufo, E.-F., & Ruffin-Benoît M. Ngoie (2021). Analysis, modeling and optimal control of COVID-19 outbreak with three forms of infection in Democratic Republic of the Congo. Results in Physics, 2021, doi: 10.1016/j.rinp.2021.104096.
    35. Kasereka, S. K., Goufo, E.-F. D., & Ho Tuong, V. (2020). Analysis and simulation of a mathematical model of tuberculosis transmission in Democratic Republic of the Congo. Advances in Difference Equations, 642 (2020). https://doi.org/10.1186/s13662-020-03091-0 (doi.org in Bing)
    36. Kasereka, S. K., Goufo, E.-F. D., Ho Tuong, V., & Kyamakya, K. (2020). A stochastic agent-based model and simulation for controlling the spread of tuberculosis in a mixed population structure. In 14th International FLINS Conference on Robotics and Artificial Intelligence (FLINS/ISKE2020), Cologne, Germany, August 18–21, 2020.
    37. N. Kasoro, Kasereka, S. K., E. Mayogha, H. T. Vinh, & J. Kinganga (2019). PercoMCV: A hybrid approach of community detection in social networks. Procedia Computer Science, 151, 45–52. https://doi.org/10.1016/j.procs.2019.04.010 (doi.org in Bing)
    38. Kasereka, S. K., N. Kasoro, K. Kyamakya, E. F. D. Goufo, & A. P. Chokki, M. V. Yengo (2018). Agent-based modelling and simulation for evacuation of people from a building in case of fire. Procedia Computer Science, 130, 10–17. https://doi.org/10.1016/j.procs.2018.04.006 (doi.org in Bing)
    39. Kasereka, S. K., Y. Le Strat, & L. Léon (2018). Estimation of infection force of hepatitis C virus among drug users in France. In Recent Advances in Nonlinear Dynamics and Synchronization, Springer, 319–344.
    40. L. Leon, Kasereka, S. K., F. Barin, C. Larsen, L. Weill-Barillet, X. Pascal, … (2017). Age- and time-dependent prevalence and incidence of hepatitis C virus infection in drug users in France, 2004–2011: Model-based estimation from two national cross-sectional…. Epidemiology & Infection, 145(5), 895–907. https://doi.org/10.1017/S0950268816002934 (doi.org in Bing)
    41. C. Paterne, Kasereka, S. K., & K. Nathanael (2014). Un modèle centré agents interactifs pour simuler la propagation de la grippe aviaire. Anales de la Faculté des Sciences de l’Université de Kinshasa, 1(1), 22–31.
    42. Kasereka, S. K., N. Kasoro, & A. P. Chokki (2014). A hybrid model for modeling the spread of epidemics: Theory and simulation. In ISKO-Maghreb: Concepts and Tools for Knowledge Management (ISKO-Maghreb), IEEE, 1–7.
    43. Kasereka, S. K.,(2014). Estimation de l’incidence d’une maladie à partir de plusieurs enquêtes épidémiologiques transversales. Université de La Rochelle, France, Master Thesis.
    44. Kasereka, S. K., (2013). Approches hybrides de la modélisation des épidémies. Université Nationale de Vietnam – IFI – Laboratoire MSI – Hanoi, Master Thesis.
    45. K. Nathanael, Kasereka, S. K., K. M. Alain, & B. D. Christian (2012). Web Usage Mining, mise en place d’un outil d’analyse de données pour le traitement et l’extraction des connaissances à partir des données d’usage du Web pour la compréhension. PARADIGME, Revue Sankuroise d’études politiques et sociales, 9, 12–22.
    46. N. Kasoro, A. Hardy, & Kasereka, S. K., (2012). Une nouvelle méthode d’extraction de connaissances à partir de données, une approche symbolique basée sur les processus de Poisson homogènes. PARADIGME, Revue Sankuroise d’études politiques et sociales, 9, 23–35.
    47. Kasereka, S. K., (2008). Management des réseaux d’entreprise: Installation et configuration du protocole SNMP (Simple Network Management Protocol) sous Linux Suse. University of Kinshasa, Mathematics and Computer Science Department, BSc Thesis.
    48. Kasereka, S. K., (2005). Application des protocoles BGP (Border Gateway Protocol) et IPv6 (Internet Version 6) pour l’interconnexion des AS (Autonomous Systems). University of Kinshasa, Mathematics and Computer Science Department, BSc Thesis.
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