Main publications

https://scholar.google.fr/citations?hl=fr&user=G_KAOrQAAAAJ&view_op=list_works&sortby=pubdate

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OAAW Diasse, JM Dembele, (2026). An Empirical Study of Knowledge Distillation Frameworks for Financial NLP in Africa. 6th International Conference on Computer Communication and Artificial Intelligence (CCAI). IEEE. 1143-1148.

Alberto, H. da C., Sánchez, G., Dembélé, J. M., Diop, I., Elbez, G., & Hagenmeyer, V. (2026). GOOSEIDRS: Intrusion Detection and Automated Response for IEC61850 GOOSE Masquerade Attacks. Proceedings of the 2026 ACM Sustainability Week.

Youme, O., Dembélé, J. M., Ezin, E. C., & Cambier, C. (2025). Panoptic Segmentation of Environmental UAV Images: Litter Beach. CoRR, abs/2508.15985.

Olou, H. B., Ezin, E. C., Dembélé, J. M., & Cambier, C. (2025). Autonomous Navigation of Unmanned Aerial Vehicle: Investigating Architectures and Techniques for a Flexible Platform. Unmanned Systems, 13(1), 193–209.

Alberto, H. da C., Sánchez, G., Dembélé, J. M., Diop, I., Elbez, G., & Hagenmeyer, V. (2025). Masquerading IEC 61850 GOOSE Protocol: Cyber-Physical Experiments and Detection. Proceedings of the ACM International Conference on Future and Sustainable Energy Systems (e-Energy 2025), 1000–1001.

Alberto, H. da C., Dembélé, J. M., Diop, I., & Bah, A. (2024). Review of Intrusion Detection Systems for Supervisor Control and Data Acquisition: A Machine Learning Approach. In Science, Engineering Management and Information Technology, Communications in Computer and Information Science, vol. 2199, pp. 28–51. Springer. DOI: 10.1007/978-3-031-72287-5_3.

Sawadogo, Z., Khan, M. T., Loukas, G., Dembélé, J. M., Sakellari, G., & Mendy, G. (2023). Towards Behavior-Based Analysis of Android Obfuscated Malware. In ECSA 2023: Software Architecture, Lecture Notes in Computer Science, pp. 151–165.

Sawadogo, Z., Khan, M. T., Dembélé, J. M., Mendy, G., & Ouya, S. (2023). Towards a DeepMalOb Improvement in the Use of Formal Security Risk Analysis Methods. IEEE CloudTech 2023, pp. 1–5.

Sawadogo, Z., Thioye, B., Gaye, I., Dembélé, J. M., Mendy, G., & Ouya, S. (2023). Mid@ndro: A Middleware Architecture for Malware Detection on Android. IEEE CloudTech 2023, pp. 1–5.

Sawadogo, Z., Dembélé, J. M., Mendy, G., & Ouya, S. (2023). Android Malware Detection: An In-Depth Investigation of the Impact of the Use of Imbalanced Datasets on the Efficiency of Machine Learning Models. 25th International Conference on Advanced Communication Technology (ICACT 2023).

Sawadogo, Z., Dembélé, J. M., Mendy, G., & Ouya, S. (2023). Android Malware Classification: Feature Update Using Incremental Learning Approach: Further Investigation of UFILA. 25th International Conference on Advanced Communication Technology (ICACT 2023).

Sawadogo, Z., Dembélé, J. M., Tahar, A., Mendy, G., & Ouya, S. (2023). DeepMalOb: Deep Detection of Obfuscated Android Malware. In Pan-African Artificial Intelligence and Smart Systems: PAAISS 2022, Lecture Notes in Computer Science / EAI proceedings, pp. 307–318.

Sawadogo, Z., Dembélé, J. M., Mendy, G., & Ouya, S. (2023). Zero-Vuln: Using Deep Learning and Zero-Shot Learning Techniques to Detect Zero-Day Android Malware. 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). DOI: 10.1109/ICECCME57830.2023.10252803.

Youme, O., Dembélé, J. M., Ezin, E. C., & Cambier, C. (2023). Evolution under Length Constraints for CNN Architecture Design. ICDSP 2023, pp. 23–31. Prépublication : CoRR abs/2305.03416.

Olou, H. B., Ezin, E. C., Dembélé, J. M., & Cambier, C. (2023). Forward Obstacle Detection by Unmanned Aerial Vehicles. In Pan-African Artificial Intelligence and Smart Systems (PAAISS), pp. 397–410.

Olou, H. B., Ezin, E. C., Dembélé, J. M., & Cambier, C. (2023). FCPNet: A Novel Model to Predict Forward Collision Based upon CNN. 22nd International Conference on Control, Automation and Systems (ICCAS).

Olou, H. B., Ezin, E. C., Dembélé, J. M., & Cambier, C. (2023). Global Motion Planning for Unmanned Aerial Vehicle Automation. Conference paper, 2023.

Le Fur, J., Sall, M., & Dembélé, J. M. (2023). A Digital Twin Simulator Approach as a Support to Develop an Integrated Observatory of the Epidemic Risk in a Rural Community in Senegal. SIMULTECH 2023, pp. 134–142.

Sawadogo, Z., Mendy, G., Dembélé, J. M., & Ouya, S. (2022). Android Malware Detection: Investigating the Impact of Imbalanced Data-Sets on the Performance of Machine Learning Models. 24th International Conference on Advanced Communication Technology (ICACT 2022), pp. 435–441.

Sawadogo, Z., Mendy, G., Dembélé, J. M., & Ouya, S. (2022). Android Malware Classification: Updating Features Through Incremental Learning Approach (UFILA). 24th International Conference on Advanced Communication Technology (ICACT 2022), pp. 544–550.

Youme, O., Bayet, T., Dembélé, J. M., & Cambier, C. (2021). Deep Learning and Remote Sensing: Detection of Dumping Waste Using UAV. Procedia Computer Science, 185, 361–369. DOI: 10.1016/j.procs.2021.05.037.

Cissé, P. A., Camara, G., Dembélé, J. M., & Lo, M. (2019). An Ontological Model for the Annotation of Infectious Disease Simulation Models. In Innovations and Interdisciplinary Solutions for Underserved Areas, Springer, pp. 82–91.

Sall, M., Dembélé, J. M., & Le Fur, J. (2019). An Hybrid Algorithm to Simulate Mice Following Residential Walls. SIMULTECH 2019, pp. 368–375.

Ka, C. O., Dembélé, J. M., Cambier, C., Stinckwich, S., Lo, M., & Zucker, J.-D. (2017). Deterministic Convection-Diffusion Approach for Modeling Cell Motion and Spatial Organization: Experimentation on Avascular Tumor Growth. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017), pp. 556–560.

Dembélé, J. M., Cussat-Blanc, S., Disset, J., & Duthen, Y. (2017). Investigating Artificial Cells’ Spatial Proliferation with a Gene Regulatory Network. Procedia Computer Science, 114, 208–215.

Cissé, P. A., Dembélé, J. M., Lo, M., & Cambier, C. (2017). Multi-Agent Systems for Epidemiology: Example of an Agent-Based Simulation Platform for Schistosomiasis. PAAMS 2017, pp. 157–168.

Cissé, P. A., Dembélé, J. M., Lo, M., & Cambier, C. (2017). Multi-Agent Systems for Epidemiology: Example of an Agent-Based Simulation Platform for Schistosomiasis. International Workshop on Agents Applied in Health Care, pp. 131–153.

Ka, C. O., Dembélé, J. M., Cambier, C., & Lo, M. (2014). An Agent-Particle on GPU for Deterministic Convection-Diffusion. IEEE 2nd World Conference on Complex Systems (WCCS 2014), pp. 575–580.

Cissé, P. A., Dembélé, J. M., Cambier, C., & Lo, M. (2014). Multi-Agent Simulation of Water Contact's Patterns in Relation to Schistosomiasis: A BDI Architecture Using Kernel Functions. IEEE 2nd World Conference on Complex Systems (WCCS 2014), pp. 536–541.

Dembélé, J. M., & Cambier, C. (2014). Une approche à base d’agents particule pour les processus biologiques d’agrégation. In F. Varenne et al. (dir.), Modéliser & simuler – Tome 2 : Épistémologies et pratiques de la modélisation et de la simulation, Paris : Éditions Matériologiques, pp. 665–685.

Dembélé, J. M., & Sayama, H. (2013). A Deterministic Agent-Particle Model for Cellular Diffusion, Aggregation and Self-Organization. IEEE Symposium Series on Computational Intelligence (SSCI 2013), pp. 21–26.

Cissé, P. A., Dembélé, J. M., Lo, M., & Cambier, C. (2013). Assessing the Spatial Impact on an Agent-Based Modeling of Epidemic Control: Case of Bilharzia. In Complex Sciences – Second International Conference (COMPLEX 2012), pp. 58–69.

Dembélé, J. M., & Cambier, C. (2012). An Agent-Particle Model for Taxis-Based Aggregation: Emergence and Detection of Structures. Procedia Computer Science, 9, 1484–1493. DOI: 10.1016/j.procs.2012.04.163.

Cipresso, P., Sellitti, L., El Assawy, N., Galli, F., Balgera, A., Dembélé, J. M., Villamira, M., & Riva, G. (2012). Real Emotions for Simulated Social Networks. In A. Abraham & A. E. Hassanien (eds.), Computational Social Networks: Tools, Perspectives and Applications, Springer, pp. 385–410.

Dembélé, J. M., & Cambier, C. (2009). Improving Lagrangian Methods: Toward an Agent-Particle Based Method. Proceedings of the 2nd International Conference on Simulation Tools and Techniques for Communications, Networks and Systems (SimuTools 2009), Rome, Italy. DOI: 10.1145/1537614.1537656.

Cipresso, P., Dembélé, J. M., & Villamira, M. (2009). An Emotional Perspective for Agent-Based Computational Economics. In J. Vallverdú & D. Casacuberta (eds.), Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence. IGI Global.

Cipresso, P., Dembélé, J. M., Mauri, M., Balgera, A., Romanò, E., & Villamira, M. (2009). Physiologically Driven Affective Agents in Simulated Networks. In Emergence and Networks, satellite meeting of the European Conference on Complex Systems (ECCS 2009).

Dembélé, J. M., & Cambier, C. (2008). Contribution to the Modeling of Complex Systems Described by Partial Differential Equations: A 2D Multi-Agent Model for Convection-Diffusion. InterJournal of Complex Systems, Article 2169.

Dembélé, J. M., Cambier, C., Touraivane, D. Lille, & Diaw, A. T. (2005). A Coupling of Heterogeneous and Spatial Multi-Agents Models: Application to a Shoreline System. In A. Zerger & R. M. Argent (eds.), MODSIM 2005 International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, pp. 127–133.