Prof. Abu Sebastian
IBM Research Europe – Zurich Zurich, Switzerland
ase@zurich.ibm.com
Abu Sebastian was born in Kerala, India. He received a B. E. (Hons.) degree in Electrical and Electronics Engineering from BITS Pilani, India, in 1998 and M.S. and Ph.D. degrees in Electrical Engineering (minor in Mathematics) from Iowa State University in 1999 and 2004, respectively. Since 2006, he is a Research Staff Member at IBM Research – Zurich in Rüschlikon, Switzerland.
His research has spanned several topics broadly related to dynamics and control at the nanometer scale. Research interests include emerging memory, storage and computing technologies as well as various aspects of nanotechnology such as nanoscale sensing and nanopositioning.
Dr. Sebastian is a co-recipient of the 2009 IEEE Control Systems Technology Award and the 2009 IEEE Transactions on Control Systems Technology Outstanding Paper Award. In 2013 he received the IFAC Mechatronic Systems Sound Researcher Award for his contributions to the field of micro-/nanoscale mechatronic systems. In 2015 he was awarded the European Research Council (ERC) consolidator grant. In 2016 he was named an IBM Master Inventor. Dr. Sebastian served on the editorial board of the journal, Mechatronics from 2008 till 2015. He also served on the memory technologies committee of the IEDM from 2015-2016.
A. Sebastian, M. Le Gallo, R. Khaddam-Aljameh, and E. Eleftheriou, “Memory devices and applications for in-memory computing,” Nature Nanotechnology, vol. 15, pp. 529–544, 2020. DOI: 10.1038/s41565-020-0655-z.
A. Bordes, R. Khaddam-Aljameh, M. Le Gallo, S. Ambrogio, A. Sebastian, and E. Eleftheriou, “Low-power deep learning with mixed-precision analog memory,” Nature Communications, vol. 11, 2020. DOI: 10.1038/s41467-020-15440-8.
T. Tuma, M. Le Gallo, A. Sebastian, and E. Eleftheriou, “In-memory computing with phase-change memory: From devices to systems,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 9, no. 2, pp. 146–158, 2019. DOI: 10.1109/JETCAS.2019.2909510.
M. Le Gallo, A. Sebastian, H. Giefers, M. Tschudy, and E. Eleftheriou, “Temporal correlation detection using computational phase-change memory,” Nature Communications, vol. 8, 1115, 2017. DOI: 10.1038/s41467-017-01112-5.
S. Ambrogio, C. Narayanan, A. Tsai, R. M. Shelby, I. Boybat, M. Le Gallo, A. Sebastian, “Equivalent-accuracy accelerated neural-network training using analogue memory,” Nature, vol. 558, pp. 60–67, 2018. DOI: 10.1038/s41586-018-0180-5.
A. Sebastian, M. Le Gallo, A. Khaddam-Aljameh, and E. Eleftheriou, “Computational phase-change memory: Beyond von Neumann computing,” Journal of Physics D: Applied Physics, vol. 52, no. 44, 443002, 2019. DOI: 10.1088/1361-6463/ab3a5f.
M. A. Rahman, A. Sebastian, “Data-driven materials science enabled by self-learning hybrid models and informatics,” Accounts of Chemical Research, vol. 53, no. 5, pp. 1054–1065, 2020. DOI: 10.1021/acs.accounts.0c00785.