Irem Boybat           

Short biography

Irem Boybat has been a part of the In-memory computing group of IBM Research – Zurich since 2015, and she currently holds a post-doctoral researcher position here. Her current research focus is on developing energy-efficient AI systems by leveraging analog in-memory computing. Prior to joining IBM – Research Zurich, Irem was a research scholar at IBM Research – Almaden, San Jose, California with similar research focus. Irem earned her Ph.D. degree in Electrical Engineering at the École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland, in 2020, her Master of Science (M.Sc.) degree in Electrical and Electronic Engineering, also from EPFL, in 2015 and her Bachelor of Science (B.Sc.) degree in Electronics Engineering from Sabanci University, Istanbul, Turkey, in 2013. She was the recipient of the 2020 EPFL PhD thesis Distinction in Electrical Engineering, a co-recipient of the 2018 IBM Pat Goldberg Memorial Best Paper Award and a co-recipient of the 2018 IBM Research Division Award on neuromorphic computing using phase-change memory devices. She has co-authored over 35 scientific papers in journals and conferences, received three best conference presentation/paper/poster awards and holds 9 granted and pending patents.

Announcements

• HiPEAC 2021 Tutorial "Using gem5 and RISC-V simulation to enable the optimization of heterogeneous architectures" now available on Youtube!
• We are collecting scientific articles, perspectives, reviews and commenteries for Frontiers Research Topic: Hardware for Artificial Intelligence (co-edited by A. Serb, M. Payvand, I. Boybat and O. Rhodes). Extended manuscript submission deadline: 30 November 2021.

Selected Talks

Invited talk, at webinar series "Semiconductors for breakfast" by the DPG Association of Semiconductor Physics, March 2021

Talk, Barcelona School of Informatics of Universitat Politecnica de Catalunya, March 2021 (link to event here)

Tutorial talk, High Performance and Embedded Architecture and Compilation (HiPEAC), Budapest, Hungary, January 2021 (recording available here)

Invited talk, Symposium "Advanced neuromorphic computing hardware: Towards efficient machine learning" at DPG Spring Meeting, Dresden, Germany, March 2020 (cancelled)

Invited panelist, "Women in Tech 2020", Stockholm, Sweden, March 2020 (live-streamed video available here)

Invited talk, "Women in Tech 2020", Stockholm, Sweden, March 2020 (live-streamed video available here)

Invited talk, "Jubilee Seminar: Peak Human?" at Royal Swedish Academy of Engineering Sciences, Stockholm, Sweden, December 2019 (live-streamed video available here)

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

YouTube (2021): Panel on Human-like AI – Neurosymbolic AI & Neuromorphic computing research (-2:05:00)

EPFL (2020): EPFL PhD thesis Distinction in Electrical Engineering 2020 laureates

Nature - Behind the paper (2020): Accurate deep neural network inference using computational phase-change memory

IBM blog (2020): Iso-accuracy deep learning inference with in-memory computing

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

Sabanci University blog (2020): President Yusuf Leblebici graduates his 50th PhD student

IEEE Solid-state Circuits Society 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

IBM blog (2018): The future of AI needs better compute: hardware accelerators based on analog memory devices