Research & Publications
Advancing the frontiers of AI and telecommunication through innovative research
Research Areas
Deep Learning & AI
Specializing in generative models (VAEs, GANs, Diffusion Models) and Transformer-based model for Neural Machine Translation
Wireless Communications
Indoor Wi-Fi planning optimization using AI-driven approaches
Image Processing
Advanced techniques for multispectral and hyperspectral image analysis
Combinatorial Optimization
Application of Combinatorial Optimization for automated access point placement and network planning
Key Achievements
CNU Qualification (Conseil National des Universités)
2025Qualified by CNU in sections 27 (Computer Science) and 61 (Signal Processing) for Associate Professor positions
Status: FinishedICASSP 2025 Grand Challenge
2025Top 5 finalist out of 16+ teams for radio map prediction using AI techniques
Status: Finished - Paper accepted and presented at ICASSP 2025PhD Dissertation
2024Application of Deep Learning for Indoor Wi-Fi Network Planning
Status: Completed - UTBMPatent Filed
2023Method for incorporating model errors in indoor Wi-Fi optimization
Status: PendingPublications
International Conferences
National Symposiums
Planification radio automatique en intérieur
Cissé, C.T., Baala, O., Guillet, V., Spies, F., Caminada, A.
Prédiction de couvertures radio indoor avec des réseaux de neurones antagonistes génératifs
Cissé, C.T., Baala, O., Guillet, V., Spies, F., Caminada, A.
Complétion par apprentissage profond de séries temporelles d'images multi-spectrales à partir d'images hyper-spectrales
Cissé, C.T., Alboody, A., Puigt, M., Roussel, G., Vantrepotte, V., Jamet, C., Tran, T.K.
Interested in Collaboration?
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