Educational background and field(s) of interest
Gönenç Berkol was born in Izmir, Turkey in 1991. He received his M.Sc. degree in electrical and electronics engineering from Bogazici University in 2015. Then, he joined Mixed-Signal Microelectronics (MSM) group of Eindhoven University of Technology, where he is currently pursuing his Ph.D. degree. His research interests are low-power analog and mixed-signal integrated-circuit (IC) design and computer-aided design automation tools for analog circuits.
How did you get involved in The Phoenix Project?
After obtaining my Bachelor and M.Sc degrees in my home country, I wanted to broaden my experience in research and decided to look for academic positions in Europe. I was already impressed by the daily life and the academic quality of the Netherlands during my personal trips, which led me to search for the available projects. Finally, I have seen the proposal of the Phoenix project at the TU/e website and it was quite a good match between my background of evolutionary design tools for analog circuits and my goal of getting more experienced in IC design field.
What is your motivation to contribute to The Phoenix Project?
I believe that the theory and applications of integrated circuits developed in Phoenix project will have a key impact to science and contribute to our understanding of this world. The approach that we are proposing are applicable to a broad range of applications starting from investigation of the water accumulation in Mars to localization of underwater pipe systems. The approach of self-learning and self-adaptive sensor networks opens a new and interesting era, and this project is one of the first research attempts to realize such a goal.
What do you intend to achieve as a member of the project?
I intend to achieve my research idea of the localization of the sensor swarms without the need of a harsh synchronization while the sensors are using the ICs that I designed. The system and hardware solution I propose will help realizing the localization of the swarm of sensors and ensure a competitive accuracy with a very low-power consumption.