Sinead Barton After completing a BE Hons in electronic engineering in 2013, she continued as a PhD student within the Department of Electronic Engineering at Maynooth University and specialized in software optimization protocols for Raman spectrometers in the biomedical engineering research group. Sinéad successfully completed her PhD interview in 2018 and remained in Maynooth as a postdoctoral researcher in the CONNECT research group and lecturer until she was appointed to her current position with the MIEC lecturing staff in 2020. Sinéad’s current research interest include deep learning for denoising of Raman spectra. Effective denoising in conjunction with her PhD focus of software optimization allows for faster acquisition of spectral data while maintaining high signal-to-noise ratios.
	Salaheddin Alakkari A postdoctoral researcher at Insight Centre, DCU since November 2019. He received his BSc ( with 1st class honours) and MSc from the University of Limerick in 2013 and 2014, respectively. He then worked for one year as a researcher in one of the leading aviation military research centers in Riyadh, Saudi Arabia before receiving a PhD scholarship from Trinity College Dublin. He successfully completed his PhD in 2019 and was officially conferred in 2020. His current research interests are big data analysis, data and knowledge representations for deep learning and explainable AI.
	Kevin O’Dwyer A postdoctoral researcher in the Department of Electronic Engineering in Maynooth University. He received his PhD from the University of Limerick on Coherent Raman cytology and multimodal optical systems. His current areas of research are in automated cell diagnostics through Raman spectroscopy and the development of a Broadband Coherent Anti-Stokes Raman Scattering (B-CARS) micro-spectroscope for rapid cellular analysis.
	Tomas Ward is the AIB Chair of Data Analytics at the School of Computing, Dublin City University. As a member of the Science Foundation Ireland—funded research centre Insight—Ireland’s Data Analytics research centre, Professor Ward studies how human health, performance and decision making can be better understood through new manners of sensing and interpreting physiology and behavior. Prior to his position at Dublin City University, he was a professor in the Department of Electronic Engineering at Maynooth University and led a research group focusing on neural engineering. Tomas holds B.E. (1994), M.Eng.Sc. (1996) and Ph.D (2000) degrees in engineering from University College Dublin. A Senior Member of the IEEE since 2011, Tomas has authored more than 240 peer-reviewed scientific publications. He is actively engaged in entrepreneurship and dissemination through commercialization. He has licensed a range of technologies to the industry since 2009, including sensor streaming technologies for e-health, over the air programming and mobile health applications. His current commercialization activity is focused on the development of mobile experience sampling technologies. Tomas is a keen advocate of hacker spaces and is a co-founder of Dublin Maker—the showcase of the maker movement in Ireland.
	Bryan Hennelly Received his BE in electronic engineering from University College Dublin in 2001 and his PhD, also from UCD, in 2005 in the areas of optical engineering and computational imaging. This was followed by a postdoctoral fellowship supported by the Irish Research Council for Science Engineering and Technology in 2005 at the Department of Computer Science in Maynooth University. In 2008 he was awarded funding as the Principal investigator of an FP7 research STREP project named Real 3D, which involved the development of digital holographic systems for three-dimensional microscopy and real-world displays. In 2012 he joined the biomedical engineering research group in the Department of Electronic and Electrical Engineering in Maynooth University and established a biophotonics laboratory. In the same year he was awarded a Science Foundation Ireland Starter Researcher Grant for the development of Raman micro-spectroscopy based diagnostic systems. His current research focuses on the development of optoelectronic microscopy systems for application in the area of clinical pathology. He is currently working on automated microscopy/spectroscopy systems for diagnosing early stage bladder cancer from urine samples using a combination of image processing algorithms, holographic microscopy and Raman micro-spectroscopy and broadband coherent Raman spectroscopy. He has authored over 100 publications and has numerous collaborators in the industry, academia and in medical institutions.