Duygu Kuzum

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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[edit]

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[edit]

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[edit]

Selected publications[edit]

  • 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[edit]

  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.
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