An end-to-end routing protocol for peer-to-peer communication in wireless sensor networks. - Ricardo Simon Carbajo; Meriel Huggard; Ciarán McGoldrick (MiNEMA, 2008)

PowerTOSSIM z: realistic energy modelling for wireless sensor network environments. - Enrico Perla; Art Ó Catháin; Ricardo Simon Carbajo; Meriel Huggard; Ciarán Mc Goldrick (PM2HW2N, 2008)

Simulating Mobility in WSNs: Bridging the Gap between ns-2 and TOSSIM 2.x. - Clay Stevens; Colin Lyons; Ronny Hendrych; Ricardo Simon Carbajo; Meriel Huggard; Ciarán Mc Goldrick (DS-RT, 2009)

Performance evaluation of the 6LoWPAN protocol on MICAz and TelosB motes. - Brendan Cody-Kenny; David Guérin; Desmond Ennis; Ricardo Simon Carbajo; Meriel Huggard; Ciarán Mc Goldrick (PM2HW2N@MSWiM, 2009)

Opportunistic detection of relative mobility in wireless sensor networks. - Ricardo Simon Carbajo; Meriel Huggard; Ciarán Mc Goldrick (Wireless Days, 2010)

Unstructured decentralised data distribution in wireless sensor networks - Ricardo Simon Carbajo (2012)

Dynamic RLC mode based upon link adaptation to reduce latency and improve throughput in cellular networks. - Ritesh Shreevastav; Ricardo Simon Carbajo (UEMCON, 2016)

Routing in wireless sensor networks for wind turbine monitoring. - Ricardo Simon Carbajo; Esther Simon Carbajo; Biswajit Basu; Ciarán Mc Goldrick (Pervasive Mob. Comput., 2017)

Decentralised Peer-to-Peer data dissemination in Wireless Sensor Networks. - Ricardo Simon Carbajo; Ciarán Mc Goldrick (Pervasive Mob. Comput., 2017)

Answering Key Questions About Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Analysis Using the XAI-SHAP Clustering Approach. - Polat Goktas; Rajnish Rakholia; Ricardo Simon Carbajo (AI4KMES@ECAI, 2023)

Investigating Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Study Leveraging XAI-SHAP Clustering Methodology. - Polat Goktas; Rajnish Rakholia; Ricardo Simon Carbajo (ECAI Workshops (2), 2023)

Adaptive Machine Learning for Resource-Constrained Environments. - Sebastián A. Cajas Ordóñez; Jaydeep Samanta; Andrés L. Suárez-Cetrulo; Ricardo Simon Carbajo (DELTA, 2024)

Xpression: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models. - Eric Arazo; Hristo Stoev; Cristian Bosch; Andrés L. Suárez-Cetrulo; Ricardo Simon Carbajo (xAI (1), 2024)

Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction. - Rajnish Rakholia; Andrés L. Suárez-Cetrulo; Manokamna Singh; Ricardo Simon Carbajo (IEEE Access, 2024)

ICOS: An Intelligent MetaOS for the Continuum. - Jordi Garcia 001; Xavi Masip-Bruin; Anastasios E. Giannopoulos; Panagiotis Trakadas; Sebastián A. Cajas Ordóñez; Jaydeep Samanta; Andrés L. Suárez-Cetrulo; Ricardo Simon Carbajo; Marc Michalke; Admela Jukan; Artur Jaworski; Marcin Kotlinski; et al. (MECC@EuroSys, 2025)

AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing. - Rajnish Rakholia; Andrés L. Suárez-Cetrulo; Manokamna Singh; Ricardo Simon Carbajo (IEEE Access, 2025)

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts. - Miguel Aspis; Sebastián A. Cajas Ordóñez; Andrés L. Suárez-Cetrulo; Ricardo Simon Carbajo (CoRR, 2025)