| 2025 | COMPSAC | Investigating Transferability in Multi-Agent Reinforcement Learning. | Corentin Artaud, Rafael Pina, Varuna De Silva, Xiyu Shi |
| 2025 | ICPRAM | Exploring Communication in Multi-Agent Reinforcement Learning Under Agent Malfunction. | Rafael Pina, Varuna De Silva |
| 2024 | ICPRAM | Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning. | Rafael Pina, Varuna De Silva, Corentin Artaud |
| 2023 | ICPRAM | Learning Independently from Causality in Multi-Agent Environments. | Rafael Pina, Varuna De Silva, Corentin Artaud |
| 2023 | ICPRAM | Towards a Neuro-Symbolic Framework for Multimodal Human-AI Interaction. | Anthony James Scotte, Varuna De Silva |
| 2023 | ISPR | Policy Generation from Latent Embeddings for Reinforcement Learning. | Corentin Artaud, Rafael Pina, Xiyu Shi, Varuna De Silva |
| 2023 | ISPR | Passing Heatmap Prediction Based on Transformer Model Using Tracking Data for Football Analytics. | Yisheng Pei, Varuna De Silva, Mike Caine |
| 2023 | ISPR | Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. | Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva |
| 2018 | DASC | IoT Driven Ambient Intelligence Architecture for Indoor Intelligent Mobility. | Varuna De Silva, Jamie Roche, Xiyu Shi, Ahmet M. Kondoz |
| 2014 | QoMEX | Perceptual performance analysis for visual attention model based asymmetric stereoscopic 3D video coding. | Erhan Ekmekcioglu, Varuna De Silva, Safak Dogan, Ahmet M. Kondoz |
| 2012 | ICIP | Robust video communication using Random Linear Network Coding with Pre-Coding and Interleaving. | Chamitha de Alwis, Hemantha Kodikara Arachchi, Varuna De Silva, Anil Fernando, Ahmet M. Kondoz |