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Declan Delaney

Dr. Declan Delaney

School of Electrical and Electronic Engineering, University College Dublin, Dubl...

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Declan is currently an Assistant Professor at the School of Electrical and Electronic Engineering, UCD. Declan received his Ph.D. in network analysis and design for IoT at the School of Computer Science, UCD in 2015. Declan is an SFI Funded Investigator on the project CONSUS (www.consus.com), an SFI-industry funded collaboration focused on precision agriculture, and a Principal Investigator for the SmartBOG project (www.smartbog.com). Declan's research interests are in the areas of network data analytics for adaptable programmable networks and infrastructure for IoT and sensor systems. He is currently involved in developing data assurance systems for sensed data and infrastructure design for collection and handling of multi streamed data for large precision agriculture. Other research includes application aware networks and autonomous orchestration for 5G networks. Having previously worked at LMI Ericsson and collaborations with SMEs in H2020 funding proposals, Declan maintains strong links with industry partners.

Research Keywords & Expertise

Internet of Things
Precision Agriculture
Software Defined Netwo...
Environmental Manageme...
Network Data Analytics

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20%
Internet of Things
5%
Precision Agriculture
5%
Software Defined Networking

Short Biography

Declan is currently an Assistant Professor at the School of Electrical and Electronic Engineering, UCD. Declan received his Ph.D. in network analysis and design for IoT at the School of Computer Science, UCD in 2015. Declan is an SFI Funded Investigator on the project CONSUS (www.consus.com), an SFI-industry funded collaboration focused on precision agriculture, and a Principal Investigator for the SmartBOG project (www.smartbog.com). Declan's research interests are in the areas of network data analytics for adaptable programmable networks and infrastructure for IoT and sensor systems. He is currently involved in developing data assurance systems for sensed data and infrastructure design for collection and handling of multi streamed data for large precision agriculture. Other research includes application aware networks and autonomous orchestration for 5G networks. Having previously worked at LMI Ericsson and collaborations with SMEs in H2020 funding proposals, Declan maintains strong links with industry partners.