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Duygu Kuzum

From Wikipedia, the free encyclopedia

Duygu Kuzum
Kuzum at PopTech 2013
Born1983 (age 40–41)
Ankara
Alma materStanford University
Bilkent University
Scientific career
InstitutionsJacobs School of Engineering, UCSD
University of Pennsylvania
ThesisInterface-engineered Ge MOSFETs for future high performance CMOS applications (2010)

Duygu Kuzum (born 1983) is a Turkish-American electrical engineer who is a professor at the University of California, San Diego's Jacobs School of Engineering. She develops transparent neural sensors based on single-layer materials. She was awarded a National Institutes of Health New Innovator Award in 2020.[1][2]

Early life and education

Kuzum was born in Ankara, Turkey.[3] She became interested in science as a child.[4] She attended Bilkent University[5][6] and was a doctoral researcher at Stanford University.[7] Her doctoral research considered MOSFETs for CMOS applications. During her doctorate, she completed an internship at Intel.[citation needed] In 2011, she joined the University of Pennsylvania as a postdoctoral researcher,[8] working in the Center for Neuroengineering and Therapeutics on the development of transparent neural electrodes.[8]

Research and career

Kuzum joined the University of California, San Diego in 2015.[1] Her research focuses on innovative computation strategies based on neural networks.[4] She combines molecular neural sensors with machine learning to better understand neural processes.[9] She has built self-assembled structures from stem cells embedded with controllable neural sensors to mimic the embryonic human brain.[1]

Awards

Selected publications

  • Duygu Kuzum; Rakesh G D Jeyasingh; Byoungil Lee; H-S Philip Wong (14 June 2011). "Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing". Nano Letters. 12 (5): 2179–2186. doi:10.1021/NL201040Y. ISSN 1530-6984. PMID 21668029. Wikidata Q39986876.
  • Duygu Kuzum; Shimeng Yu; H-S Philip Wong (2 September 2013). "Synaptic electronics: materials, devices and applications". Nanotechnology. 24 (38): 382001. doi:10.1088/0957-4484/24/38/382001. ISSN 0957-4484. PMID 23999572. Wikidata Q38133729.
  • Duygu Kuzum; Hajime Takano; Euijae Shim; et al. (20 October 2014). "Transparent and flexible low noise graphene electrodes for simultaneous electrophysiology and neuroimaging". Nature Communications. 5: 5259. Bibcode:2014NatCo...5.5259K. doi:10.1038/NCOMMS6259. ISSN 2041-1723. PMC 4331185. PMID 25327632. Wikidata Q30620623.

References

  1. ^ a b c d Labios, Liezel (2020-10-06). "Two UC San Diego Researchers Receive NIH High-Risk, High-Reward Awards". UC San Diego TODAY. Retrieved 2022-12-23.
  2. ^ a b Calabrese, Ryan (2020-10-21). "2020 NIH Director's Awards Granted to Three BRAIN Initiative Scientists". The BRAIN Initiative Alliance. Retrieved 2022-12-23.
  3. ^ a b Hall, Stephen (2014-08-19). "Pioneers: Duygu Kuzum". MIT Technology Review. Retrieved 2022-12-23.
  4. ^ a b Rojas-Rocha, Xochitl. "Profile on ECE Professor Duygu Kuzum | Electrical and Computer Engineering". ece.ucsd.edu. Retrieved 2022-12-23.
  5. ^ "Neuroelectronics group". neuroelectronics.ucsd.edu. Retrieved 2022-12-23.
  6. ^ "Duygu Kuzum | Faculty profile". Jacobs School of Engineering. Retrieved 2022-12-23.
  7. ^ "Duygu Kuzum – 2018-Oct Kavli Futures Symposium: Next-Generation Neurotechnology for Research and Medicine". neurotech2018.kavlimeetings.org. Retrieved 2022-12-23.
  8. ^ a b Stone, Madeleine (2014-08-29). "Penn Engineering Postdoc Duygu Kuzum Is One of 'Innovators Under 35'". Penn Today. Retrieved 2022-12-23.
  9. ^ Park, Katie (2018-03-29). "Neuroengineering Meets Nanoelectronics: Neuro-inspired Systems and Neural Interfaces". USC Viterbi | Ming Hsieh Department of Electrical and Computer Engineering. Retrieved 2022-12-23.
  10. ^ "PopTech : People : Duygu Kuzum". PopTech. Retrieved 2022-12-23.
  11. ^ Fox, Tiffany (2016-03-23). "UC San Diego Electrical Engineer Awarded Young Investigator Award from U.S. Office of Naval Research". jacobsschool.ucsd.edu. Qualcomm Institute at UC San Diego. Retrieved 2022-12-23.
  12. ^ "2017 Awardees". IEEE Nanotechnology Council. Retrieved 2022-12-23.
  13. ^ "NSF Award Search: Award # 1752241 - CAREER:Bio-artificial Neuromorphic System Based on Synaptic Devices". National Science Foundation. 2018-01-16. Retrieved 2022-12-23.
  14. ^ "Alumnus Prof. Duygu Kuzum receives the NIH NIBIB Trailblazer Award | Nanoelectronics Lab". nano.stanford.edu. 2016-07-01. Retrieved 2022-12-23.
This page was last edited on 22 March 2024, at 05:56
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