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Contact Details Munster Technical University

Dr. Daniel Riordan is Head of Department of Technology, Engineering and Mathematics in Munster Technological University Kerry Campus, Senior Principle Investigator in the IMaR Research Centre. He holds a B.Eng. in Electronic Engineering from DCU, a M.Sc. in Computer Science form MTU and a PhD from University of Limerick in the area of electromagnetic interference in electronic communication systems.
His research focuses on electronic hardware, embedded systems, autonomous robotic systems, embedded artificial intelligence systems, sensor systems, electro-magnetic interference analysis and digital signal processing. Dr. Riordan’s research predominantly takes an applied approach, with specific interest in the Manufacturing and Agricultural sectors.

Publications

2024

Carvalho, Anderson, Riordan, Daniel, Walsh, Joseph. 2024. A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud. Future Internet, 16, 111. doi: 10.3390/fi16040111.

2023

Krpalkova, Lenka, Krump, Lea, O'Mahony, Niall, Riordan, Daniel, Sayers, Gearoid, Walsh, Joseph. 2023. Two- and Three-Dimensional Computer Vision Techniques for More Reliable Body Condition Scoring. Dairy, 4, 1{textendash}25. doi: 10.3390/dairy4010001.
Awasthi, Anshul, O' Mahony, Niall, Riordan, Daniel, Walsh, Joseph. 2023. Latent Space Cartography for~Geometrically Enriched Latent Spaces. In: Artificial Intelligence and Cognitive Science, Springer Nature Switzerland.
Caliskan, Abdullah, O'Brien, Conor, Panduru, Krishna, Riordan, Daniel, Walsh, Joseph. 2023. Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods. In: Proceedings of the 2023 8th International Conference on Information and Education Innovations, Association for Computing Machinery. doi: 10.1145/3594441.3594478.
Caliskan, Abdullah, Riordan, Daniel, Walsh, Joseph. 2023. The Biomonitoring of Ireland’s River Network Using a 1D Convolution Neural Network. In: 2023 IEEE International Symposium on Technology and Society (ISTAS). doi: 10.1109/ISTAS57930.2023.10305993.

2019

Anderson Carvalho, Krpalkova, Lenka, O' Mahony, Niall, Riordan, Daniel, Sean Campbell, Walsh, Joseph. 2019. Point Cloud Annotation Methods for 3D Deep Learning. doi: 10.1109/ICST46873.2019.9047730.
Boyle, Fiona, Katamreddy, Sukumar, Locke, Adrian, Mc Mahon, David, Moriarty, Padraic, O'Grady, Muiris, Riordan, Daniel, trant, Niall, Walsh, Joseph. 2019. Innovation of learning and development for the AgriTech Sector using Google Tour Creator. doi: 10.21125/edulearn.2019.2119.
Boyle, P, Katamreddy, S, Locke, D, MCMahon, D, Moriarty, A, Riordan, D, Walsh, J. 2019. The Development of VR Expeditions for Primary School Learning. In: EDULEARN19: 11th annual International Conference on Education and New Learning Technologies. doi: 10.21125/edulearn.2019.2118.
Anderson Carvalho, Harapanahalli, Suman, Krpalkova, Lenka, O'Mahony, Niall, Riordan, Daniel, Sean Campbell, Velasco-Hernandez, Gustavo, Walsh, Joseph. 2019. Deep Learning vs. Traditional Computer Vision. In: Advances in Computer Vision. doi: 10.1007/978-3-030-17795-9_10.
Katamreddy, S, Riordan, D, Walsh, J. 2019. Closed loop process control for precision farming: An Agriculture 4.0 perspective. In: Irish Signal and System Conference 2019.
Burns, Shane, Daly, J, Harty, Edmond, Krpalkova, Lenka, O' Mahony, Niall, Riordan, Daniel, Walsh, Joseph. 2019. Automatic Cattle Monitoring Systems for Precision Livestock Farming. doi: 10.13140/RG.2.2.19691.28965.
Anderson Carvalho, Krpalkova, Lenka, O'Mahony, Niall, Riordan, Daniel, Sean Campbell, Walsh, Joseph. 2019. 3D Vision for Precision Dairy Farming. In: 6th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture. doi: https://doi.org/10.1016/j.ifacol.2019.12.555.
Anderson Carvalho, Harapanahalli, S, O'Mahony, N, Riordan, D, Sean Campbell, Velasco-Hern{'a}ndez, G. A., Walsh, J. 2019. Adaptive Multimodal Localisation Techniques for Mobile Robots in Unstructured Environments : A Review. In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT). doi: 10.1109/WF-IoT.2019.8767330.

2018

Doody, P, Katamreddy, S, Riordan, D, Walsh, J. 2018. Visual Udder Detection with Deep Neural Networks. In: 2018 12th International Conference on Sensing Technology (ICST). doi: 10.1109/ICSensT.2018.8603625.
Joseph Walsh, O' Mahony, Niall, Riordan, Daniel, Sean Campbell. 2018. Sensor Technology in Autonomous Vehicles – A Review. In: the 29th Irish Signals and Systems Conference. doi: 10.1109/ISSC.2018.8585340.
Doyle, Ciar{'a}n, Joseph Walsh, Riordan, Daniel. 2018. Resistance-based Calibration of a Double Bias Elimination Resistance Measurement Circuit : Calibration for highly accurate measurements over narrow ranges of interest. In: 29th Irish Signals and Systems Conference. doi: 10.1109/ISSC.2018.8585294.
Joseph Walsh, Murphy, T, O. Mahony, N, Panduru, K, Riordan, D. 2018. Machine learning algorithms for estimating powder blend composition using near infrared spectroscopy. In: 2018 2nd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS). doi: 10.1109/SIMS.2018.8355297.
Joseph Walsh, O' Mahony, Niall, Riordan, Daniel, Sean Campbell. 2018. Deep Learning for Visual Navigation of Unmanned Ground Vehicles; A review. In: 29th Irish Signals and Systems Conference. doi: 10.1109/ISSC.2018.8585381.
Anderson Carvalho, Krpalkova, L, O'Mahony, N, Riordan, D, Sean Campbell, Velasco-Hern{'a}ndez, G. A., Walsh, J. 2018. Convolutional Neural Networks for 3D Vision System Data : A review. In: 2018 12th International Conference on Sensing Technology (ICST). doi: 10.1109/ICSensT.2018.8603642.
Joseph Walsh, Krpalkova, Lenka, Murphy, Aidan, O' Mahony, Niall, Riordan, Daniel, Sean Campbell. 2018. Computer Vision for 3D Perception A review. In: Intelligent Systems Conference. doi: 10.1007/978-3-030-01057-7_59.
Doody, O, Joseph Walsh, Maharjan, S, Noonan, F, Riordan, D, Shields, A. 2018. Automation of a paper-based waste tracking system. In: 2018 2nd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS). doi: 10.1109/SIMS.2018.8355290.