Dr. Daniel O’Hare is a Principal Investigator in the Microelectronics Circuits research group at Tyndall National Institute, Cork, Ireland. His research is in low-noise sensor interface circuits and integrated circuits to enable medical systems.  He has on-going research projects in multi-sensor interfaces using Time to digital converters, Current to digital converters and integrated sensor systems to make surgical procedures safer, quicker and less expensive. He has 25 years of integrated circuit design experience, 12 in industry designing low power cellular radios and 13 in Academia researching ADCs and sensor interfaces.

Dr O’Hare’s research has received funding awards from Irish sources such as Research Ireland to research a micro-camera platform for surgical guidance and MCCI to research sensor interfaces using time circuits. He is working with NKI (the Netherlands Cancer Institute) on a smart implantable electromagnetic sensor technology for surgical navigation funded by Health Holland. He has also received funding from Industry partners Analog Devices, Infineon and ST Microelectronics. Through his career Daniel has achieved more than 30 peer reviewed publications and 3 patents. His most important journal is IEEE Solid State Circuits Letters and he has a H-index of 3. He was a co-recipient of the best student paper award at 2021 IEEE International New Circuits and Systems Conference (NEWCAS).

Since 2017 he is a Researcher in MCCI based at the Tyndall National Institute. He lectures 'Advanced Analog IC Design' to UCC Masters in Electronic Engineering students. He has supervised 5 MEngSc and 5 PhD students to completion and is currently supervising 9 PhD students, 3 of these students will complete their PhDs in 2025. Three of his students have been recipients of the Wrixon Research Excellence Bursary for best Tyndall PhD student. Two PhD students have, won the Analog Devices (ADI) Outstanding Student IC Designer Award for 2023 and 2025. Daniel was recipient of the 2023 Tyndall Mentor of the year award.

My research is in low-noise sensor interface circuits and precision Analogue to Digital Converters (ADCs). Multi-sensor interfaces and Implantable sensors are core interests. He has on-going research projects in multi-sensor interfaces using Time to digital converters, Current to digital converters and integrated sensor systems to make surgical procedures safer, quicker and less expensive.