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Nos 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. Henri-Joel Azemena, Franck-Anael K. Mbiaya, Selain K. Kasereka & Ho Tuong Vinh (2022) “CoSiT: An Agent-based Tool for Training and Awareness to Fight the Covid-19 Spread” International Journal of Advanced Computer Science and Applications (IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131083
  33. D.D. Diambeki, R.E. Mandiya, K. Kyamakya & S. Kasereka (2022), Securing the light escaping in a Li-Fi network environment, The 5th International Conference on Emerging Data and Industry 4.0 (EDI40), Procedia Computer Science, Volume 201, Pages 684-689, Porto, Portugal. Doi: https://doi.org/10.1016/j.procs.2022.03.091
  34. Kiketa, V., Kashoba, H. . ., Kasereka , S. ., Maniamfu , P. ., Kutangila , D. ., Buhendwa , F., Nyazabe, S. ., & Katshitshi, J.-J. . (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 (iJET), 17(13), pp. 64–83. https://doi.org/10.3991/ijet.v17i13.30185
  35. Nathanaël Kasoro, Selain Kasereka, Grevisse Alpha Kalumero & 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 Inter-networks, Communication and Mobility, August 9-12, 2021, Leuven, Belgium.
  36. Kasereka, S., 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. IN PRESS.
  37. Ndondo, A., Kasereka, S., 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: https://doi.org/10.1016/j.rinp.2021.104096
  38. Kasereka, S., 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
  39. Kasereka, S., 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, the 14th International FLINS Conference on Robotics and Artificial Intelligence (FLINS/ISKE2020), Cologne, Germany, from August 18-21, 2020. Doi: https://doi.org/10.1142/9789811223334_0079
  40. N. Kasoro, S. Kasereka, E. Mayogha, H. T. Vinh, J. Kinganga (2019), PercoMCV: A hybrid approach of community detection in social networks, Elsevier, Procedia Computer Science, Elsevier, Procedia Computer Science, Volume 151, 45-52. https://doi.org/10.1016/j.procs.2019.04.010
  41. S. Kasereka, N. Kasoro, K. Kyamakya, EFD Goufo, AP Chokki, MV Yengo (2018), Agent-Based Modelling and Simulation for evacuation of people from a building in case of fire, Elsevier, Procedia Computer Science 130, 10-17. https://doi.org/10.1016/j.procs.2018.04.006
  42. Kasereka S., Le Strat Y., Léon L. (2018) Estimation of Infection Force of Hepatitis C Virus Among Drug Users in France. In: Kyamakya K., Mathis W., Stoop R., Chedjou J., Li Z. (eds) Recent Advances in Nonlinear Dynamics and Synchronization. Studies in Systems, Decision and Control, vol 109. Springer, Cham. doi.org/10.1007/978-3-319-58996-1_15
  43. LEON, L., KASEREKA, S., BARIN, F., LARSEN, C., WEILL-BARILLET, L., PASCAL, X., . . . LE STRAT, Y. (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 serosurveys. Epidemiology and Infection, 145(5), 895-907. doi:10.1017/S0950268816002934
  44. Alain Kuyunsa Mayu, Nathanael Kasoro Mulenda, Rostin Mabela Matendo, Modelling a Structure of a Fuzzy Data Warehouse, Applied Engineering. Vol. 1, No. 2, 2017, pp. 48-56. doi: 10.11648/j.ae.20170102.12
  45. Kuyunsa Mayu Alain, Kasoro Mulenda Nathanael, Mabela Matendo Rostin, Integrating fuzzy concepts to design a fuzzy data warehouse, International Journal of Computer (IJC) Volume 27, No 1, pp 112-132 (2017)
  46. Kasereka, S.; Kasoro, N.; Chokki, A.P., « A hybrid model for modeling the spread of epidemics: Theory and simulation, » ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014 4th International Symposium, IEEE, vol., pp.1,7, 9-10 Nov. 2014. 10.1109/ISKO-Maghreb.2014.7033457
  47. Kasoro Mulenda Nathanael, et B.G. Mbikayi, « application des NTIC dans l’aménagement de la station de recherche de la faculté des Sciences agronomiques située à N’djili Brasserie », Les cahiers de l’ISS-KIN, revue Interdisciplinaire, vol.9, juillet 2014.
  48. Kasoro Mulenda Nathanael, Kuyunsa Mayu Alain, et Ndozi Mansangu R., « Fouille des données complexes et tuning de l’entrepot des données une étude comparative entre la classification classique et la classification dynamique symbolique », Les cahiers de l’ISS-KIN, revue Interdisciplinaire, vol.9, juillet 2014.
  49. Kasoro mulenda nathanael, et Kasereka Musumba Bienfait, « Entrepôts des données et analyse multidimensionnelle de l’exploitation industrielle de bois en République Démocratique du Congo », Les cahiers de l’ISS-KIN, revue Interdisciplinaire, vol.9, juillet 2014.
  50. Kasoro Mulenda N.., « Contribution de l’Intelligence Artificielle à la mise en œuvre d’un système d’aide à la décision en analyse de données », dissertaton de D.E.S. en Sciences, Université de Kinshasa, décembre 2004.
  51. Kasoro Mulenda N. : Classification Automatique et Analyse de Données Symboliques : Une Nouvelle Méthode Monothétique de Partitionnement basée sur les Processus de Poisson, Dissertation Thèse, Université de Kinshasa, Fac. Sc., Dépt. Mathématiques et Informatique, 2009.
    Publications
  52. Hardy A. et Kasoro N., « Un nouvelle méthode de classification pour des données intervalles », in « Actes des XIVèmes Rencontres de la Société Francophone de Classification », Paris, pp. 109-112, 2008.
  53. Kasoro N.., Hardy A., « Une nouvelle méthode divise de classification non supervisée pour des données symboliques intervalles », EGC’2008 : Sophia-Antipolis, France. Actes des 8ième journées Extraction et Gestion des connaissances, in Revue des Nouvelles Technologies de l’information RNTI-E-11 CEPADUES- Editions 2008, vol II, pages 649-654.
  54. Hardy A. et Kasoro N.., “ Une nouvelle méthode de classification pour des données intervalles”, Mathématiques et Sciences Humaines, 187, 3, 2009, pp. 79-91.
  55. Kasoro mulenda nathanael, Andre Hardy, Kasereka Kabunga Selain, « Une nouvelle méthode d’extraction de connaissances a partir de données, une approche symbolique basée sur les processus de Poisson homogènes », PARADIGME, Revue Sankuroise d’études politiques et sociales, Université de Lodja(UNILOD), (No 009) janvier 2013, Kinshasa, RDC.
  56. Kasoro mulenda nathanaell, Kasereka Kabunga Selain, Kuyunsa Mayu Alain, Bope Domilongo Christian, « Web Usage Mining, mise en place d’un outil d’analyse de données pour le traitement et l’extraction des connaissances a partir des données d’usage du Web pour la compréhension du comportement des internautes et la restructuration d’un site Web», PARADIGME, Revue Sankuroise d’études politiques et sociales, No 009 Université de Lodja (UNILOD), janvier 2013, Kinshasa, RDC.
  57. Kasereka Kabunga S.., « Approches hybrides de la modelisation des epidemies.« – Master 1 – Universite Nationale de Vietnam – IFI – Laboratoire MSI – Hanoi – 2013.
  58. Kasereka Kabunga S., «Application des protocoles BGP (Border Gateway Protocole) et IPv6 (Internet Version 6) pour l’interconnexion des AS (Autonomus Systems), Memoire Licence – Faculté des Scinces, Département de Mathématiques et informatique – Universite de Kinshasa, 2007
  59. Kasereka Kabunga S., « Management des reseau d’entreprise: Installation et configuration du protocol SNMP (Simple Network Management Protocol) sous Linux suse 9.3 et Windows server 2003., TFC – Faculté des Scinces, Département de Mathématiques et informatique – Universite de Kinshasa, 2004
  60. Kuyunsa Mayu Alain: Fouille des données complexes et tuning de l’entrepôt des données. Une étude comparative entre la classification classique et la classification dynamique symbolique, DEA en informatique, Ecole doctorale de l’Universite de Kinshasa, Faculte des Sciences, 2012.
  61. Bope Domilingo Christian, Implémentation du COMPUTER SECURITY INCIDENT RESPONSE RDC (RDC CISRT), DEA en informatique, Ecole doctorale de l’Universite de Kinshasa, Faculte des Sciences, 2012.