Dr. Darren Francis Kavanagh

Ndustrial Electronics PCB Design/Fabrication
BioMed & Power Electronics

Darren is a Lecturer, Principal Investigator & Programme Director for BEng Electronic Engineering with the Institute of Technology Carlow. He received his PhD degree in acoustic signal processing and machine learning (ML) methods from Trinity College Dublin, in 2011. Following this, Darren was a Postdoctoral researcher with the University of Oxford, UK. He has gained valuable academic teaching experience at the University of Oxford; Trinity College Dublin; and the Technological University Dublin. Darren also benefits greatly from industrial experience at Alcatel Lucent-Bell Laboratories, Intel, and Xilinx. He was awarded an EMBARK Scholarship (IRC) in 2006-2010 and the Minister’s Silver Medal for Science from the Minister for Education (Ireland) in 2005. Darren has a strong track record of working closely with enterprise partners on applied RDI projects typically involving applied embedded systems for solving industrial engineering problems. Broadly, his research interests encompasses ‘signals and systems’ and can be defined under two main research strands:

(1) signal processing and machine learning (ML) methods, and

(2) advanced Condition based Monitoring (CbM) of energy conversion and propulsion systems using low-cost and low-power embedded systems.

Core research aims:

• Design signal processing and machine learning ML algorithms for classification, segmentation and localisation to advance autonomous and intelligent systems.

• Fundamental research questions on degradation and fault modes of energy conversion systems, with applications in electric vehicles, renewables and medical devices.

• Development of low power embedded systems for novel electronic devices, systems, machines and equipment, utilising various Internet of Things (IoT) platforms. Projects funded by EI; IRC; SFI, SEAI, Campus France and various collaborative industry partners. Currently interested in applied embedded systems for industrial applications and developing industrial-academic partnership opportunities.