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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

2019

Mahony NO', Krpalkova L, Burns S, Daly J, Harty E, Riordan D, Walsh J. 2019. Automatic Cattle Monitoring Systems for Precision Livestock Farming.

O'Mahony N, Campbell S, Carvalho A, Krpalkova L, Riordan D, Walsh J. 2019. 3D Vision for Precision Dairy Farming. 6th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture.

Mahony NO', Campbell S, Carvalho A, Krpalkova L, Riordan D, Walsh J. 2019. Point Cloud Annotation Methods for 3D Deep Learning.

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.

Campbell S, Carvalho A, Harapanahalli S, Krpalkova L, O'Mahony N, Riordan D, Velasco-Hernandez G, Walsh J. 2019. Deep Learning vs. Traditional Computer Vision . Advances in Computer Vision.

2018

Mahony NO', Campbell S, Krpalkova L, Riordan D, Walsh J, Murphy A. 2018. Computer Vision for 3D Perception A review. Intelligent Systems Conference.

Doyle C, Riordan D, Walsh J. 2018. Resistance-based Calibration of a Double Bias Elimination Resistance Measurement Circuit : Calibration for highly accurate measurements over narrow ranges of interest. 29th Irish Signals and Systems Conference .

Riordan D, Walsh J, Campbell S, Mahony NO'. 2018. Sensor Technology in Autonomous Vehicles - A Review. the 29th Irish Signals and Systems Conference.

Riordan D, Mahony NO', Walsh J, Campbell S. 2018. Deep Learning for Visual Navigation of Unmanned Ground Vehicles; A review. 29th Irish Signals and Systems Conference .

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Daniel Riordan

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