Irem Boybat has been a part of the In-memory computing group of IBM Research – Zurich since 2015. Her current research focus is on developing the next generation of AI systems where analog in-memory AI cores composed of non-volatile memory is expected to result in great energy and speed gains. Prior to this, Irem was a research scholar at IBM Research – Almaden, San Jose, California with similar research focus.
Irem earned her PhD degree in Electrical Engineering at the École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland, in 2020, her Master of Science degree in Electrical and Electronic Engineering, also from EPFL, in 2015 and her Bachelor of Science degree in Electronics Engineering from Sabanci University, Istanbul, Turkey, in 2013.
Invited talk, Symposium "Advanced neuromorphic computing hardware: Towards efficient machine learning" at DPG Spring Meeting, Dresden, Germany, March 2020
Invited talk, "Women in Tech 2020", Stockholm, Sweden, March 2020 (live-streamed video available)
Invited talk, "Jubilee Seminar: Peak Human?" at Royal Swedish Academy of Engineering Sciences, Stockholm, Sweden, December 2019 (live-streamed video available)
Invited talk, "Neuromorphic Computing day" at Sabanci University, Istanbul, Turkey, April 2019
Invited talk, "Neuromorphic computing and hardware Gothenburg - Stockholm joint workshop", Stockholm, Sweden, December 2018
Invited talk, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland, May 2018
In the news
NyTeknik news article (2020): How IBM wants to make AI systems 1,000 times more efficient
IBM blog (2020): International Women's day: Celebrating Science
Announcement (2020): President Yusuf Leblebici graduates his 50th PhD student
Announcement (2020): ISSCC Rising Stars 2020 Workshop
IBM blog (2018): Novel synaptic architecture for brain inspired computing
IBM blog (2018): Machine learning for analog accelerators