Hugh Barnaby

Professor

Professor, IAFSE-ECEE: Electrical Engineering
Professor, IAFSE-ECEE: Connection One (C1)
Professor, Engineering, Ira A. Fulton Schools of (IAFSE)
Professor, IAFSE-CIDSE: Embedded Systems, Consortium for (CES)
Associate Professor, IAFSE-ECEE: Solid State Electronics Research Center (CSSER)
Associate Professor, AINE: Applied Nanoionics, Center for (CANi)

3013 Citations
30 h-Index

Research output per year

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Personal profile

Education/Academic qualification

PHD, Vanderbilt University

… → 2002

MS EE, Vanderbilt University

… → 1999

BA, University of California-Berkeley

… → 1992

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Research Output

3013 Citations
30 h-Index
125 Article
45 Conference contribution
8 Editorial
4 Conference article
8 More

Ionizing radiation tolerance of stacked Si₃N₄-SiO₂ gate insulators for power MOSFETs

Muthuseenu, K., Barnaby, H. J., Patadia, A., Holbert, K. & Privat, A., Jan 2020, In : Microelectronics Reliability. 104, 113554.

Research output: Contribution to journal › Article

Open Access

3 Scopus citations

Evaluation of Single Event Effects in SRAM and RRAM Based Neuromorphic Computing System for Inference

Ye, Z., Liu, R., Barnaby, H. & Yu, S., May 22 2019, 2019 IEEE International Reliability Physics Symposium, IRPS 2019. Institute of Electrical and Electronics Engineers Inc., 8720490. (IEEE International Reliability Physics Symposium Proceedings; vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Explicit approximation of the surface potential equation of a dynamically depleted silicon-on-insulator MOSFET for performance and reliability simulations

Livingston, I. P., Esqueda, I. S. & Barnaby, H. J., Oct 2019, In : Solid-State Electronics. 160, 107609.

Research output: Contribution to journal › Article

Impact of radiation induced crystallization on programmable metallization cell electrical characteristics and reliability

Gonzalez Velo, Y., Patadia, A., Barnaby, H. & Kozicki, M., Jan 1 2019, In : Faraday Discussions. 213, p. 53-66 14 p.

Research output: Contribution to journal › Article

Monolithically Integrated RRAM- And CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning

Yin, S., Seo, J. S., Kim, Y., Han, X., Barnaby, H., Yu, S., Luo, Y., He, W., Sun, X. & Kim, J. J., Nov 1 2019, In : IEEE Micro. 39, 6, p. 54-63 10 p., 8894568.

Research output: Contribution to journal › Article