Brendan Mullane is a Senior Research Fellow at the University of Limerick (UL) where he leads the Circuits and Systems Research group within the Department of Electronic and Computer Engineering. He is also Course Director for the Masters of Engineering in Computer and Communication Systems.

Brendan Mullane joined UL in 2003, after spending more than 10 years in industry mostly as a VLSI designer. From 1992 to 1995, he worked with ALPS Electric (Fukushima) working on TV tuner electronics, cordless telephony and embedded C++ software design. From 1995 to 1996, he was with the start-up company Silicon Systems Design (Dublin) developing DSP core IP for high-end applications. Prior to joining UL, he worked with the ASIC design company – LSI Logic (Tokyo) from 1996 to 2002 as a senior R&D engineer developing digital system-on-chips for DVDs and other customer applications supporting ARM CPU cores.

Brendan received his PhD in Electronic Engineering from UL in 2010 in the area of data converter built-in-self test and carries out research and supervision/teaching roles in the area of digital signal processing and VLSI design. He has helped supervise to completion numerous postgraduate research students and has published over 40 peer-reviewed articles, authored one book-chapter, holds 10 invention disclosures and granted five patents. His research interests include high performance, low-power VLSI for signal processing, DSP/CPU and data converters applications.

He has been Principal Investigator (PI) on a number of significant research projects involving data conversion and signal processing applications. He has received research-funding awards from Enterprise-Ireland and Science Foundation Ireland while also achieving various donations through collaborations with industry helping to train and graduate Ph.D./Masters researchers.

Brendan’s work in CONNECT involves the design of advanced signal processing techniques and algorithms to overcome unwanted noise sources in D/A converters. He is also developing technology for next-generation connected Internet of Things (IoT) devices that require safety critical signal monitoring capabilities. Current research includes digital assisted signal-processing techniques for data converters, test and on-chip evaluation of signals enabling feature extraction and analysis. He is also interested in the application of this research to areas such as integrated healthcare and brain monitoring devices.