Brendan Mullane joined the University of Limerick (UL) in 2003, after spending more than 10 years in industry, mostly as a VLSI designer. He received his Ph.D. in Electronic Engineering from UL in 2010. His current role is Senior Research Fellow in the Dept. of Electronic and Computer Engineering. To-date, he has published over 35 peer-reviewed articles, authored one book-chapter, holds 10 invention disclosures and has been granted four US patents. His research interests include high performance, low-power VLSI signal processing, DSP/CPU and data converters applications. Professional experience: Senior Research Fellow, Department of Electronic and Computer Engineering, University of Limerick. Carrying out research and supervision/teaching roles in the area of digital signal processing and VLSI design. From 1992 to 1995, he worked with ALPS Electric (Fukushima/Japan) working on TV tuner electronics and C++ software design. From 1995 to 1996, he was with the startup Silicon Systems Design (Dublin) developing DSP core IP for highend audio applications. Prior to joining UL, he worked with the ASIC design company, LSI Logic (Tokyo/ Japan) from 1996 to 2002 as a senior IC designer developing digital ICs for DVDs and other customer applications supporting ARM cores. Research experience: During his time at UL, he has been Principal Investigator (PI) on a number of research projects involving data conversion and signal processing applications. He gained his Ph.D. in the area of data converter built-inself test. He has received researchfunding awards from EnterpriseIreland and Science Foundation Ireland while also achieving various donations through collaborations with industry helping to train and graduate PhD/Masters researchers. Dr Mullane is also a Funded Investigator in the SFI Research Centre for Future Networks and Communications – CONNECT where he is working in collaboration with industry on advanced signal processing techniques to overcome noise sources in D/A converters. He is currently with the circuits and systems research group at UL developing technology for next generation connected Internet of Things (IoT) devices that require safety critical signal monitoring capabilities. Current research include digital assisted signalprocessing techniques for data converters, test and on-chip feature extraction and analysis. He is interested in the application of this research to areas such as integrated healthcare and brain monitoring devices.