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Daniel Riordan

Academic

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 A, Riordan D, Walsh J. 2024. A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud. Future Internet. 16:111.

2023

O’Mahony N, Krpalkova L, Sayers G, Krump L, Walsh J, Riordan D. 2023. Two- and Three-Dimensional Computer Vision Techniques for More Reliable Body Condition Scoring. Dairy. 4:1–25.

Caliskan A, Riordan D, Walsh J. 2023. The Biomonitoring of Ireland's River Network Using a 1D Convolution Neural Network. 2023 IEEE International Symposium on Technology and Society (ISTAS).

Mahony NO', Awasthi A, Walsh J, Riordan D. 2023. Latent Space Cartography for Geometrically Enriched Latent Spaces. Artificial Intelligence and Cognitive Science.

Caliskan A, O'Brien C, Panduru K, Walsh J, Riordan D. 2023. Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods. Proceedings of the 2023 8th International Conference on Information and Education Innovations.

2021

Mahony NO', Campbell S, Krpalkova L, Walsh J, Riordan D. 2021. Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning. Sensors and Transducers. 252:50-57.

Mahony NO'., Campbell S, Carvalho A, Krpalkova L, Riordan D, Walsh J. 2021. Improving Accuracy and Latency in Image Re-identification by Gallery Database Cleansing. Intelligent Computing.

O’Mahony N, Campbell S, Krpalkova L, Carvalho A, Walsh J, Riordan D. 2021. Representation Learning for Fine-Grained Change Detection. Sensors. 21:4486.

O'Mahony N, Campbell S, Carvalho A, Krpalkova L, Velasco-Hernandez G, Riordan D, Walsh J. 2021. Understanding and Exploiting Dependent Variables with Deep Metric Learning. Intelligent Systems and Applications.

2019

Boyle F, Walsh J, Riordan D, Locke A, Moriarty P, Katamreddy S, Mahon DMc, trant N, O'Grady M. 2019. Innovation of learning and development for the AgriTech Sector using Google Tour Creator.

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Daniel Riordan

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