Sergi Gómez Quintana

Sergi Gómez Quintana has a passion for engineering, music and sound. He is from Barcelona (Spain), where he received his Master’s degree in Telecommunications from the Universitat Politècnica de Catalunya. He also worked in several jobs and personal projects related to music, sound and technology.

His background as an engineer and musician place him into a unique position where he can contribute with both analytical and creative solutions. Over the past 12 months he has been conducting research in UCC with the INFANT Centre and Embedded Systems Group. This research was jointly funded by the Wellcome Trust and Grand Challenges Canada Seed Awards. His research is in the areas of AI-based analysis of heart sounds and sound-based analysis of brain. He has developed a novel signal processing algorithm to convert neonatal brainwaves to sound that has shown a high level of achieved accuracy. This resulted in two published conference papers in leading engineering (IEEE) and clinical domains (Paediatric Societies), including a best paper award at IEEE ISSC.

Up to now, he has attended numerous conferences, seminars and events related to engineering and neurophysiology, including the International Conference on Brain Monitoring and Neuroprotection in the Newborn (BMNN), the IEEE Irish Signals and Systems Conference (ISSC) and the European Academy of Paediatric Societies Congress (EAPS). Additionally, he has participated as a volunteer in several outreach events such as the BT Young Scientist & Technology Exhibition and the European Researchers’ Night.
“Being part of CRT-AI gives me a great opportunity to use my expertise developing the ML foundations for the next generation of medical devices and decision support tools that can save or improve lives.”

Supervisors: Dr Emanuel Popovici & Professor Geraldine Boylan