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Kerem Yunus Çamsarı
Alma materPurdue University (Ph.D.)
Known forProbabilistic computing (p-bits)
AwardsNSF CAREER Award (2023); Office of Naval Research Young Investigator Award (2022); Misha Mahowald Prize (2025)
Scientific career
FieldsElectrical engineering; Computer engineering
InstitutionsUniversity of California, Santa Barbara
Doctoral advisorSupriyo Datta

Kerem Yunus Çamsarı is a Turkish-American electrical and computer engineer. He is an associate professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on probabilistic computing, nanoscale devices, and unconventional hardware architectures.

Education

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Çamsarı received his Ph.D. in Electrical and Computer Engineering from Purdue University in 2015 under the supervision of Supriyo Datta.[1]

Career

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After completing his Ph.D., Çamsarı was a postdoctoral researcher at Purdue University from 2015 to 2020.[2] He joined the faculty of the University of California, Santa Barbara in 2020 as an assistant professor of Electrical and Computer Engineering and was promoted to associate professor in 2024.[2]

Research

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Çamsarı is known for co-developing the concept of probabilistic bits (p-bits), nanoscale building blocks that fluctuate between 0 and 1 and can be interconnected to form probabilistic computers.[3][4]

His group demonstrated one of the first hardware implementations of such systems using stochastic magnetic tunnel junctions for integer factorization.[3][5]

At UCSB, his team introduced sparse Ising machines, large networks of p-bits with restricted connectivity that enable scalable probabilistic computing. This work was published in Nature Electronics in 2022.[6]

In 2024, his group applied probabilistic hardware to artificial intelligence by training deep Boltzmann networks on a physical p-computer, also reported in Nature Electronics.[7]

Awards and honors

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  • Office of Naval Research Young Investigator Award (2022)[8]
  • NSF CAREER Award (2023)[9]
  • Misha Mahowald Prize in Neuromorphic Engineering (2025)[10]

Selected publications

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  • Çamsarı, K. Y.; Sutton, B. M.; Datta, S. (2019). "p-Bits for probabilistic spin logic". Applied Physics Reviews. 6 (1): 011305. doi:10.1063/1.5055860[11]
  • Borders, W. A.; Pervaiz, A. Z.; Fukami, S.; Çamsarı, K. Y.; Ohno, H.; Datta, S. (2019). "Integer factorization using stochastic magnetic tunnel junctions". Nature. 573 (7772): 390–393. doi:10.1038/s41586-019-1557-9[3]
  • Aadit, N. A.; Grimaldi, A.; Carpentieri, M.; Theogarajan, L.; Martinis, J. M.; Finocchio, G.; Çamsarı, K. Y. (2022). "Massively parallel probabilistic computing with sparse Ising machines". Nature Electronics. 5 (6): 460–468. doi:10.1038/s41928-022-00764-0[6]
  • Niazi, S.; Aadit, N. A.; Theogarajan, L.; Çamsarı, K. Y. (2024). "Training deep Boltzmann networks with sparse Ising machines". Nature Electronics. 7 (7): 610–619. doi:10.1038/s41928-024-01092-7[7]

References

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  1. ^ "Purdue alumnus wins 2025 Misha Mahowald Prize". Purdue University News. March 25, 2025.
  2. ^ a b "A Probabilistic Certainty". UC Santa Barbara Engineering News. July 22, 2024.
  3. ^ a b c Borders, W. A.; Pervaiz, A. Z.; Fukami, S.; Çamsarı, K. Y.; Ohno, H.; Datta, S. (2019). "Integer factorization using stochastic magnetic tunnel junctions". Nature. 573 (7772): 390–393. Bibcode:2019Natur.573..390B. doi:10.1038/s41586-019-1557-9. PMID 31534247.
  4. ^ Kerem Camsari; Supriyo Datta (31 March 2021). "Waiting for Quantum Computing? Try Probabilistic Computing". IEEE Spectrum.{{cite web}}: CS1 maint: multiple names: authors list (link)
  5. ^ Dina Genkina (8 December 2022). "Engineers Push Probabilistic Computers Closer to Reality". IEEE Spectrum.
  6. ^ a b Aadit, N. A.; Grimaldi, A.; Carpentieri, M.; Theogarajan, L.; Martinis, J. M.; Finocchio, G.; Çamsarı, K. Y. (2022). "Massively parallel probabilistic computing with sparse Ising machines". Nature Electronics. 5 (6): 460–468. arXiv:2110.02481. doi:10.1038/s41928-022-00774-2.
  7. ^ a b Niazi, S.; Aadit, N. A.; Theogarajan, L.; Çamsarı, K. Y. (2024). "Training deep Boltzmann networks with sparse Ising machines". Nature Electronics. 7 (7): 610–619. doi:10.1038/s41928-024-01182-4.
  8. ^ "2022 Young Investigator Award Recipients". Office of Naval Research. 2022.
  9. ^ "Professor Kerem Çamsarı receives NSF CAREER Award". UC Santa Barbara ECE News. February 22, 2023.
  10. ^ "Inspired by biomimetic approaches, Kerem Çamsarı's work wins 2025 Misha Mahowald Prize". UC Santa Barbara News. March 24, 2025.
  11. ^ Çamsarı, K. Y.; Sutton, B. M.; Datta, S. (2019). "p-Bits for probabilistic spin logic". Applied Physics Reviews. 6 (1): 011305. arXiv:1809.04028. Bibcode:2019ApPRv...6a1305C. doi:10.1063/1.5055860.
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